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Research| Volume 106, ISSUE 3, P1672-1686, March 2023

Nutritional, antioxidant, and antimicrobial assessment of carrot powder and its application as a functional ingredient in probiotic soft cheese

      ABSTRACT

      Carrots (the main source of carotenoids) have multiple nutritional and health benefits. The objectives of this study were to evaluate the compositional, antioxidant, and antimicrobial properties of carrot powder and to examine its effect on the sensory characteristics, chemical properties, and microbial viability of probiotic soft cheese at a rate of 0.2, 0.4, and 0.6%. The carrot was turned into powder before being analyzed and incorporated as an ingredient in making probiotic soft cheese. Probiotic soft cheese was made from buffalo milk. The buffalo milk (∼6.9% fat, 4.4% protein, 9.2% milk solids not fat, and 0.7% ash) was pasteurized at 75 ± 1°C for 5 min and cooled to 40–42°C. The milk was then divided into 4 aliquots. Sodium chloride (local market, Assiut, Egypt) was added at a ratio of 5% followed by starter cultures. The carrot powder (4.5% moisture, 4.8% ash, 2.7% fat, 8.2% protein, 11.9% fibers, and 72.3% carbohydrate) was added at a rate of 0.2, 0.4, and 0.6%, followed by addition of 0.02 g/kg rennet. The cheese was cut again into cubes, pickled in jars filled with whey, and stored for 28 d at 6 ± 1°C. The results of this study illustrated the nutritional and antioxidant properties of carrot powder. Incorporation of carrot powder in probiotic soft cheese affected the moisture and salt content at 0 d. The total bacteria count decreased from 7.5 to 7.3 log cfu/g in the cheese when carrot powder was used at a rate of 0.6%. The reduction of total bacteria count was noticed during the 28 d of storage by adding carrot powder. Furthermore, lactic acid bacteria and Bifidobacterium longum counts elevated with adding carrot powder during the 28 d of storage.

      Key words

      INTRODUCTION

      Due to the high nutritional value of food items with added functional ingredients, the demand for those types of foods has increased significantly. The presence of food containing phytochemicals in our daily diet may reduce birth defects, cancer, cardiovascular, and neurodegenerative diseases (
      • Blancquaert D.
      • Storozhenko S.
      • Loizeau K.
      • De Steur H.
      • De Brouwer V.
      • Viaene J.
      • Ravanel S.
      • Rébeillé F.
      • Lambert W.
      • Van Der Straeten D.
      Folates and folic acid: From fundamental research toward sustainable health.
      ;
      • Liu R.H.
      Dietary bioactive compounds and their health implications.
      ). Carrot, being a good source of phytochemicals (e.g., carotenoids, phenolics, ascorbic acid, and polyacetylenes;
      • Maestro M.A.
      • Ferdinand M.
      • Carlberg C.
      Vitamin D and its synthetic analogs.
      ), is associated with reducing the risk of cardiovascular disease and cancer.
      Carrot (Daucus carota L.) is a nutritious root vegetable (seasonal crop), which is not available through the year. Drying the carrot could be an efficient way to extend its shelf-life (
      • Al-Amin M.
      • Hossain M.S.
      • Iqbal A.
      Effect of pre-treatments and drying methods on dehydration and rehydration characteristics of carrot.
      ). Carrots are known as a multinutritional food source and are rich in natural bioactive compounds, such as phenolics, carotenoids, polyacetylenes, and ascorbic acid (
      • Ahmad T.
      • Cawood M.
      • Iqbal Q.
      • Ariño A.
      • Batool A.
      • Tariq R.M.S.
      • Azam M.
      • Akhtar S.
      Phytochemicals in Daucus carota and their health benefits—Review article.
      ), fiber, and minerals. As a result, carrots can be used as a functional ingredient in any product to increase the biological and nutritional values (
      • Ergun M.
      Evaluating carrot as a functional food.
      ). Moreover, several studies used carrot juice to develop probiotic beverages (
      • Duda-Chodak A.
      • Tarko T.
      • Wajda Ł.
      • Kręcioch B.
      Antioxidant properties of caroot juices and their impact on intestinal and probiotic bacteria.
      ;
      • El-Sayed A.A.A.
      • Rabie M.A.
      • Abu El-Maaty S.M.
      • El-Nemr S.E.A.
      Fermentation of yellow carrot juice (Daucus carota L.) via probiotic lactic acid bacteria during storage.
      ;
      • Rafiq S.
      • Sharma V.
      Development of probiotic carrot juice.
      ) to be used as suitable media for the cultivation of probiotics. Strains of Bifidobacterium and Lactobacillus genera are commonly considered under Generally Recognized As Safe status and are used as functional probiotic dairy products (
      • De Souza Oliveira R.P.
      • Perego P.
      • Converti A.
      • De Oliveira M.N.
      Growth and acidification performance of probiotics in pure culture and co-culture with Streptococcus thermophilus: The effect of inulin.
      ;
      • Awasti N.
      • Tomar S.K.
      • Pophaly S.D.
      • Poonam V.K.
      • Lule V.K.
      • Singh T.P.
      • Anand S.
      Probiotic and functional characterization of bifidobacteria of Indian human origin.
      ). Furthermore, many studies used probiotic bacteria in cheese making due to their role in enhancing flavor, texture, and shelf-life (
      • Songisepp E.
      • Kullisaar T.
      • Hütt P.
      • Elias P.
      • Brilene T.
      • Zilmer M.
      • Mikelsaar M.
      A new probiotic cheese with antioxidative and antimicrobial activity.
      ;
      • Hammam A.R.A.
      • Ahmed M.S.I.
      Technological aspects, health benefits, and sensory properties of probiotic cheese.
      ;
      • Ahmed M.E.
      • Rathnakumar K.
      • Awasti N.
      • Elfaruk M.S.
      • Hammam A.R.A.
      Influence of probiotic adjunct cultures on the characteristics of low-fat Feta cheese.
      ;
      • Hamdy A.M.
      • Ahmed M.E.
      • Mehta D.
      • Elfaruk M.S.
      • Hammam A.R.A.
      • El-Derwy Y.M.A.
      Enhancement of low-fat Feta cheese characteristics using probiotic bacteria.
      ), while the addition of natural bioactive components in cheese could improve the nutritional, functional, and sensory characteristics (
      • Ritota M.
      • Manzi P.
      Natural preservatives from plant in cheese making.
      ). Likewise, using tomato powder as an ingredient in processed cheese formulations resulted in better functional properties in the final product with higher antioxidant activity, as well as sensory properties (
      • Solhi P.
      • Azadmard-Damirchi S.
      • Hesari J.
      • Hamishehkar H.
      Production of the processed cheese containing tomato powder and evaluation of its rheological, chemical, and sensory characteristics.
      ). Another study found that addition of aqueous extracts of the Inula britannica flower in making cheese elevated the protein, ash, and total phenolic content of final cheese (
      • Lee N.-K.
      • Jeewanthi R.K.C.
      • Park E.-H.
      • Paik H.-D.
      Short communication: Physicochemical and antioxidant properties of cheddar-type cheese fortified with Inula britannica extract.
      ). Furthermore, utilization of basil leaves in Serra da Estrela cheese led to higher antioxidant activity and kept unsaturated fatty acid and protein contents far from deuteriation (
      • Carocho M.
      • Barros L.
      • Barreira J.C.M.
      • Calhelha R.C.
      • Soković M.
      • Fernández-Ruiz V.
      • Buelga C.S.
      • Morales P.
      • Ferreira I.C.F.R.
      Basil as functional and preserving ingredient in “Serra da Estrela” cheese.
      ). Moreover, adding celery leaf during the making of soft white cheese contributed to better flavor and overall acceptability (
      • Awda J.M.
      • Awad H.A.
      • Alssirag M.A.
      • Alfalahi D.A.
      Extend the shelf life and improving sensory properties of white soft cheese by adding celery leaves.
      ). In contrast, others found that adding 0.3% (wt/vol) of turmeric powder decreased the score of flavors (
      • Al-Obaidi L.F.H.
      Effect of adding different concentrations of turmeric powder on the chemical composition, oxidative stability and microbiology of the soft cheese.
      ).
      In recent years, several studies emphasized the health benefits of probiotic cheese. To date, no study used carrot powder to fortify probiotic soft cheese. Therefore, this work aimed to evaluate the nutritional and antioxidant properties of carrot powder and to examine the effect of the carrot powder on the compositional and functional characteristics of soft cheese during storage for 28 d.

      MATERIALS AND METHODS

      No human or animal subjects were used, so this analysis did not require approval by an Institutional Animal Care and Use Committee or Institutional Review Board.

      Preparation of Carrot Powder

      Carrots were obtained from a local market (Assiut, Egypt) and washed thoroughly with water and cut into thin slices. Those slices were steam blanched for 3 min to inactivate enzymes (pectinase and peroxidase) and elevate the bioavailability of beta-carotene by thermal treatment (
      • Ghosh S.
      • Adak K.
      • Saha P.
      • Upadhyay S.
      • Ghosh A.
      • Das P.
      • Chatterjee A.
      Beta-carotene retention as retinol activity equivalent at different cooking and storage variants.
      ). The slices were then dried in an electric oven at 55°C for 12 h. The dried carrot was then turned into powder using a high speed grinder (DeLonghi). Subsequently, the carrot powder was sterilized at 121°C for 11 min.

      Cheese Manufacturing

      Lactococcus lactis ssp. lactis ATCC (11454), Lactiplantibacillus plantarum ssp. plantarum (ATCC 14917), Lactococcus lactis ssp. cremoris (ATCC 19257), and Bifidobacterium longum (ATCC 15707) were obtained from the Egyptian Microbial Culture Collections (Cairo Microbiological Resources Center, Faculty of Agriculture, Ain Shams University, Cairo, Egypt). Lactiplantibacillus plantarum ssp. plantarum was activated using anaerobic conditions in sterile skim milk at 37°C for 24 h., while Lactococcus lactis ssp. lactis and Lactococcus lactis ssp. cremoris were activated at 30°C for 24 h. The viable count of the mix of Lactococcus lactis ssp. lactis and Lactococcus lactis ssp. cremoris was 7.5 ± 0.09 log cfu/mL, whereas Lactiplantibacillus plantarum ssp. plantarum was 7.5 ± 0.02 log cfu/mL, and Bifidobacterium longum was 7.6 ± 0.28 log cfu/mL.
      Probiotic soft cheese was made from buffalo milk as described in a previous study (
      • Mohammed A.H.M.
      • Aguilar-Pérez C.F.
      • Ayala-Burgos A.J.
      • Bottini-Luzardo M.B.
      • Solorio-Sánchez F.J.
      • Ku-Vera J.C.
      Evaluation of milk composition and fresh soft cheese from an intensive silvopastoral system in the tropics.
      ) with some modifications. Fresh buffalo milk (6.93% fat, 4.37% protein, 9.23% milk SNF, and 0.68% ash) was obtained from the Animal Production Farm (Faculty of Agriculture, Assiut University, Assiut, Egypt). The buffalo milk was heated to 75 ± 1°C for 5 min and then cooled to 40–42°C. The milk was then divided into 4 aliquots. Sodium chloride (local market, Assiut, Egypt) was added to each portion at a ratio of 5%, and then the mix of Lactococcus lactis ssp. lactis and Lactococcus lactis ssp. cremoris was added at 2%, followed by the addition of 1% Lactiplantibacillus plantarum ssp. plantarum, and 15% Bifidobacterium longum. The inoculated milk was left for 30 min. The first portion was used as a control, whereas the other 3 portions were supplemented with 0.2, 0.4, and 0.6% carrot powder. Subsequently, rennet (Chr. Hansen's) was added at a rate of 0.02 g/kg. The fermentation was done at 40–42°C until the curd was set. The cheese was then cut and left in cheesecloth to drain for 3 d at 5°C. The cheese was cut again into cubes, pickled in plastic jars filled with whey, and stored for 28 d at 6 ± 1°C. This experiment was repeated 3 times. The yield of cheese samples was calculated as the weight of cheese divided by the weight of milk expressed as a percentage (
      • Mehaia M.A.
      Fresh soft white cheese (Domiati-type) from camel milk: Composition, yield, and sensory evaluation.
      ).

      Compositional Analyses

      Most of the chemicals were obtained from El-Gomhouria Inc. The 2.2-diphenyl-1-picrylhydrazyl (DPPH), Folin-Ciocalteu reagent, and gallic acid were procured from Sigma-Aldrich.

      Chemical Composition

      Moisture, fat, and total protein (TP) were determined (
      • AOAC International
      Official Methods of Analysis.
      ) in carrot powder and cheese samples. Ash, crude fiber (
      • AOAC International
      Official Methods of Analysis.
      ), carbohydrates (
      • Pellet P.L.
      • Shadarevian S.
      Food Composition: Tables for Use in the Middle East.
      ), and caloric value (
      • Livesey G.
      Metabolizable energy of macronutrients.
      ) were estimated in carrot powder. Titratable acidity (
      • AOAC International
      Official Methods of Analysis.
      ), salt (
      • Bradley R.L.
      • Arnold J.E.
      • Barbano J.D.M.
      • Semerad R.G.
      • Smith D.E.
      • Vines B.K.
      Chemical and physical method.
      ), soluble nitrogen (SN), and NPN were determined in cheese samples using the Kjeldahl method (
      • AOAC International
      Official Methods of Analysis.
      ). Those analyses were duplicated on each replicate.

      Determination of Mineral Profile

      The calcium, magnesium, iron, and zinc were determined by iCAP6000 (Thermo Scientific) inductively coupled plasma emission spectrometry (
      • Isaac R.A.
      • Johnson W.C.
      Elemental analysis of plant tissue by plasma emission spectroscopy: Collaborative study.
      ). Sodium and potassium contents were determined using a Flame Photometer Corning 400 (Jenway;
      • Chapman H.D.
      • Pratt P.F.
      Methods of analysis for soils, plants, and waters.
      ), while phosphorus was measured by a spectrophotometer (
      • Jackson M.
      Soil Chemical Analysis Prentice.
      ). The mineral profile was performed on 2 samples of each replicate.

      Determination of Vitamin C

      Vitamin C (ascorbic acid) content was determined by titration using the iodine solution method (
      • Satpathy L.
      • Pradhan N.
      • Dash D.
      • Baral P.P.
      • Parida S.P.
      Quantitative determination of vitamin C concentration of common edible food sources by redox titration using iodine solution.
      ). Vitamin C was measured in duplicates on each replicate.

      Determination of Total Carotenoid by Spectrophotometer

      Extraction and determination of total carotenoid were measured (
      • Al-Dabbas M.M.
      • Saleh M.I.
      • Al-Ismail K.
      preservation methods impacted phenolic, flavonoid, and carotenoid contents and antioxidant activities of carrots (Daucus carota L.).
      ), while vitamin A was measured as the retinol equivalent, where 1 retinol equivalent = 1 µg of retinol = 6 µg of β-carotene (
      • Pitchiah S.
      Development and Evaluation of Carrot Powder as a Food Ingredient.
      ). Total carotenoid was measured 2 times on each replicate.

      Determination of Total Phenolic Compounds

      Total phenolics content was measured (
      • Singleton V.L.
      • Orthofer R.
      • Lamuela-Raventós R.M.
      Analysis of Total Phenols and Other Oxidation Substrates and Antioxidants by Means of Folin-Ciocalteu Reagent.
      ) and the results were expressed as milligrams of gallic acid equivalents per 100 g sample (mg of GAE/100 g sample). This test was duplicated on each replicate.

      Antioxidant Activity

      The antioxidant activity of carrot powder extract was estimated using DPPH scavenging activity (
      • Pothitirat W.
      • Chomnawang M.T.
      • Supabphol R.
      • Gritsanapan W.
      Comparison of bioactive compounds content, free radical scavenging, and anti-acne inducing bacteria activities of extracts from the mangosteen fruit rind at two stages of maturity.
      ). This was done in duplicates. As DPPH solution in methanol (0.13 mM) was added to the methanolic extract of carrot powder, the control sample was prepared by mixing methanol and DPPH. Then mixtures were allowed to stand in the dark at room temperature for 30 min. The absorbance of the mixture was recorded at 517 nm by spectrophotometer, and the ability of carrot powder extract to scavenge DPPH radical was calculated as follows:
      DPPH=AbsorbanceofcontrolAbsorbanceofsampleAbsorbanceofcontrol×100.


      Gas Chromatography-Mass Spectrometry Analysis

      The GC-MS analysis was conducted to analyze volatile and semi-volatile compounds (Department of Analytical Chemistry, Faculty of Science, Assiut University, Assiut, Egypt). The extract was prepared in chloroform as follows: 1 g of carrot powder, 0.1 mL of phosphoric acid (1:1), and 2 mL of chloroform were added. Then it was sonicated for 15 min by ultrasonic, followed by centrifugation (5,009 × g) for 20 min at 15°C. Subsequently, the clear organic layer was separated and injected into GC-MS. The GC-MS analysis was performed using a GC-MS (7890A-5975B) equipped with column DB 5 ms (30 m × 0.250 mm × 0.250 µm). The initial temperature of the GC oven was kept at 60°C and then increased to 120°C at a rate of 10°C/min, followed by a series of continuous temperature increase to 175°C at a rate of 3°C/min, 205°C at a rate of 5°C/min, 210°C at a rate of 0.8°C/min, and finally at 280°C at a rate of 5°C/min. Helium was used as the carrier gas at a flow rate of 0.5 mL/min. Volatiles were identified using the Wiley registry, 11th ed, and the NIST 2017 mass spectral library. Data are expressed as the percentage of the total GC area. Duplicate samples were tested for each replicate.

      Microbiological Analysis

      Antimicrobial Activity

      The antimicrobial activity of the carrot powder was tested against 6 bacterial strains (Bacillus cereus AUMC no. B-52, Escherichia coli AUMC no. B-53, Micrococcus luteus AUMC no. B-112, Pseudomonas aeruginosa AUMC no. B-73, Serratia marcescens AUMC no. B-55, and Staphylococcus aureus AUMC no. B-54) obtained from Mycological Center, Faculty of Science, Assiut University, Assiut, Egypt. Bacterial strains were individually inoculated in a nutrient broth medium for 48 h to prepare inoculum. Sterile plastic Petri plates (10 cm diameter) and nutrient agar medium were used in the bioassay (
      • Johnson T.R.
      • Case C.L.
      ). After media solidification, a sterile cork borer was used to cut 5-mm diameter cavities in the solidified agar (4 cavities per plate). Carrot powder methanolic extract was pipetted in the cavities (20 µL per cavity). Plates were incubated at 28°C for 48 h, and the diameter of the inhibition zone around cavities was measured and reported in mm (
      • Kwon-Chung K.J.
      • Bennett J.E.
      Medical mycology.
      ). This was done on 2 samples of each replicate.

      Microbiological Count

      Bacterial counts were performed in cheese samples at 0 and 7, 14, 21, and 28 d. Total bacteria count (TBC) was enumerated on a nutrient agar medium (Plate Count Agar, HiMedia Laboratories Pvt. Ltd.) after incubation at 37°C for 48 h (
      • Suleiman T.
      • Abdalla M.
      • El Haj N.
      • Elsiddig H.
      Chemical and microbiological evaluation of processed cheese available in Khartoum market, Sudan.
      ) using the standard plate count technique (
      • Wehr H.M.
      • Frank J.F.
      Standard Methods for the Examination of Dairy Products.
      ). Lactic acid bacteria (LAB) counts were enumerated on a de Man, Rogosa, and Sharpe agar medium (Neogen culture media) after incubation anaerobically at 37°C for 48 h. Bifidobacterium counts were enumerated on a modified de Man, Rogosa, and Sharpe medium (
      • Renschler M.A.
      • Wyatt A.
      • Anene N.
      • Robinson-Hill R.
      • Pickerill E.S.
      • Fox N.E.
      • Griffith J.A.
      • McKillip J.L.
      Using nitrous acid-modified de Man, Rogosa, and Sharpe medium to selectively isolate and culture lactic acid bacteria from dairy foods.
      ) after incubating plates anaerobically at 40°C for 48 h. Skim milk agar medium was used in the enumeration of proteolytic bacteria (
      • Awad E.I.
      • Abd-El Aal S.F.A.
      • Ibrahim M.A.
      Occurrence of proteolytic bacteria in milk and some dairy products.
      ) after incubation at 37°C for 4 d. Furthermore, psychrophilic bacteria (
      • Baumann D.P.
      • Reinbold G.W.
      The enumeration of psychrophilic microorganisms in dairy products.
      ) and lipolytic bacteria (
      • Davis B.R.
      • Ewing W.H.
      Lipolytic, pectolytic, and alginolytic activities of Enterobacteriaceae.
      ) were enumerated. Molds were enumerated using Czapek's dextrose agar medium (
      • Pitt J.I.
      • Hocking A.D.
      Fungi and Food Spoilage.
      ), while malt extract agar medium (
      • Yousif M.R.G.
      • Safaa M.F.
      Effect of using different types of yeasts on the quality of Egyptian Balady bread.
      ) was used for yeast enumeration. Two samples were analyzed for microbiological analyses in each replicate at each time point.

      Sensory Analyses

      Cheese samples were judged by 10 staff members of the Dairy Science Department at Assiut University for sensory analyses. Flavor (50 points), body and texture (40 points), and color and appearance (10 points) were evaluated at 0 and 28 d of storage to have 100 points total (
      • Bodyfelt F.W.
      • Potter D.
      Creamed Cottage Cheese.
      ).

      Statistical Analyses

      One-way (treatment) and 2-way (treatment and time) ANOVA were tested using SPSS software (version 16.0 for Windows, SPSS Inc.). When significant differences (P < 0.05) were noticed among means, Duncan's multiple comparison test was used for mean difference testing.

      RESULTS AND DISCUSSION

      Composition of Carrot Powder

      The chemical composition of carrot powder samples is shown in Table 1. The moisture content of carrot powder was 4.5%, whereas ash, fat, TP, and fiber contents were 4.80, 2.75, 8.25, and 11.94% on a dry basis, respectively. It was found that ash, fat, TP, and fiber in carrot powder were approximately 6.80, 2.90, 9.20, and 7.20%, respectively, on a dry basis (
      • Hussein M.A.
      • Yonis A.A.M.
      • Abd El - Mageed H.A.
      Effect of adding carrot powder on the rheological and sensory properties of pan bread.
      ). Another study stated that carrot samples have moisture content of 11.70%, whereas ash, fat, TP, and fiber contents were approximately 13.40, 5.40, 10.40, and 13.70% on a dry basis, respectively (
      • Mandey J.S.
      • Wolayan F.R.
      • Pontoh C.J.
      • Kowel Y.H.S.
      Nutrient and bioactive potentials of clove and carrot as natural feed additive/water additive candidates for organic broiler chicken.
      ). The total carbohydrate content of carrot powder in current research recorded was around 72.30%, while the caloric value was 346.8 kcal/100 g on a dry basis. Our results were in agreement with those reported by
      • Singh P.
      • Kulshrestha K.
      • Kumar S.
      Effect of storage on β-carotene content and microbial quality of dehydrated carrot products.
      , as they observed that carbohydrate and caloric values in carrot powder were 68.3% and 336.0 kcal/100 g on a dry basis, respectively.
      Table 1Mean (n = 3) composition of carrot powder used in making probiotic soft cheese
      SampleChemical composition
      TP = total protein; carbs = carbohydrates.
      (g/100 g on a dry basis)
      Mineral (mg/100 g on a dry basis)Caloric value
      Caloric value = (TP × 4) + (carbs × 4) + (fat × 9).
      (kcal/100 g)
      MoistureAshFatTPFiberCarbsCaNaKPMgFeZn
      Carrot powder4.554.802.758.2511.9472.26880.0615.0532.7199.3171.720.73.4346.76
      SD0.010.020.030.010.030.053.04.00.20.20.20.10.30.11
      1 TP = total protein; carbs = carbohydrates.
      2 Caloric value = (TP × 4) + (carbs × 4) + (fat × 9).
      Potassium, phosphorus, calcium, sodium, magnesium, iron, and zinc contents in carrot powder are illustrated in Table 1. In the present study, potassium, phosphorus, calcium, sodium, magnesium, iron, and zinc were approximately 532.7, 199.3, 880.0, 615.0, 171.7, 20.7, and 3.4 mg/100 g on a dry basis, respectively. Similar findings were exemplified by
      • Singh G.
      • Kawatra A.
      • Sehgal S.
      Nutritional composition of selected green leafy vegetables, herbs and carrots.
      , as they found that zinc content in carrots was 3.2 mg/100 g on a dry basis. Moreover, it was reported that calcium, phosphorus, and iron contents in carrot pulp waste were 314.95, 317.77, and 12.65 mg/100 g on a dry basis, respectively (
      • Shyamala B.N.
      • Jamuna P.
      Nutritional content and antioxidant properties of pulp waste from Daucus carota and Beta vulgaris.
      ).

      Phytochemical Components in Carrot Powder

      Vitamin C, β-carotene, vitamin A, total phenolics, and antioxidant activity of carrot powder samples are presented in Table 2. Data showed that vitamin C content was 50.0 mg/100 g on a dry basis. It was reported that ascorbic acid was 8.0 mg/100 g of fresh orange-colored carrots (
      • Thamburaj S.
      • Singh N.
      Textbook of Vegetables, Tubercrops, and Spices.
      ). Furthermore, in the current study, β-carotene content was 123.0 mg/100 g on a dry basis. However, another study observed lower content of β-carotene in carrot powder at a rate of 1,154.20 µg/g or 115.42 mg/100 g (
      • Pitchiah S.
      Development and Evaluation of Carrot Powder as a Food Ingredient.
      ), whereas another reported higher β-carotene (254.0 mg/100 g) on a dry basis (
      • Béttega R.
      • Rosa J.G.
      • Corrêa R.G.
      • Freire J.T.
      Comparison of carrot (Daucus carota) drying in microwave and in vacuum microwave.
      ) when compared with our findings. Such differences could be attributed to the variety and environmental factors. Furthermore, The retinol equivalent of carrot powder (Table 2) was about 20,500 (RE/100 g), which was obtained using the standard conversion formula. Likewise, others studies examined 5 groups of fresh carrots and found that the β-carotene and vitamin A contents were 12,300 µg/100 g and 2,054.1 RE/100 g, respectively (
      • Aremu S.
      • Nweze C.
      Determination of vitamin A content from selected Nigerian fruits using spectrophotometric method.
      ).
      Table 2Phytochemical components (on a dry basis) of carrot root powder
      RE = retinol equivalent; GAE = gallic acid equivalents.
      SampleVitamin C (mg/100 g)β-carotene (mg/100 g)Vitamin A (RE)Total phenolics (mg of GAE/100 g)Antioxidant activity (%)
      Carrot powder50.0123.020,500.0203.664.45
      SD4.05.04.00.20.05
      1 RE = retinol equivalent; GAE = gallic acid equivalents.
      The total phenolics content (Table 2) in carrot powder was 203.6 mg/100 g on a dry basis sample, whereas it was reported that the range of total phenolic content in 15 varieties of orange carrot ranged from 18.7 to 33.8 mg/100 g as gallic acid equivalents on a fresh weight basis (
      • Leja M.
      • Kamińska I.
      • Kramer M.
      • Maksylewicz-Kaul A.
      • Kammerer D.
      • Carle R.
      • Baranski R.
      The content of phenolic compounds and radical scavenging activity varies with carrot origin and root color.
      ).
      The antioxidant activity of carrot powder (determined by DPPH scavenging activity) was 64.45%. Our value is higher than the values reported in the study conducted by
      • John S.
      • Priyadarshini S.
      • Monica S.J.
      • Sivaraj C.
      • Arumugam P.
      In vitro evaluation of antioxidant and antimicrobial activity of carrot peel.
      , which ranged from 7.45 to 34.9%. Another study by
      • Leja M.
      • Kamińska I.
      • Kramer M.
      • Maksylewicz-Kaul A.
      • Kammerer D.
      • Carle R.
      • Baranski R.
      The content of phenolic compounds and radical scavenging activity varies with carrot origin and root color.
      estimated radical scavenging activity using a stable DPPH radical. They found that the DPPH ranged from 3.5 to 13.7% in 15 varieties of orange carrot extracts (on a fresh weight basis). Moreover, the importance of carotenoids (which are located in orange carrots) was referred to as a valuable antioxidant component that can neutralize the effect of free radicals (
      • da Silva Dias J.C.
      Nutritional and health benefits of carrots and their seed extracts.
      ).

      Gas Chromatography-Mass Spectrometry Analysis

      The GC-MS of compounds was carried out in chloroform extract of carrot powder. The GC-MS in our study detected 43 compounds as shown in Table 3; however, a previous study detected 18 compounds using the same methodology (
      • Gaggiotti S.
      • Mascini M.
      • Pittia P.
      • Della Pelle F.
      • Compagnone D.
      Headspace volatile evaluation of carrot samples—Comparison of GC/MS and AuNPs-hpDNA-Based E-Nose.
      ). The retention time and value (% concentration) in Table 3 indicated that the first setup peak was tetrahydro-2-(3-methyltricyclo[2.2.1.0(2,6)] hept-3-yl)oxyl-2H-pyran. The most volatile compounds were butyl-9,12-octadecadienoate; glycerol 1-palmitate, O-cyanobenzaldehyde; and 7.7',8,8',11,11',12,12',15,15'-decahydro-beta,psi-carotene. Moreover, the data in Table 3 detected terpenoids in carrot powder samples, which were alpha-terpinene and (E)-geranylacetone (monoterpenes); caryophyllene, trans-gamma-bisabolene and 3β-hydroxy-8-oxo-6.β.H.7.α.H, 11.β. H-germacran-4(14),9(10)-dien (sesquiterpene); phytane (diterpenes); and squalene (triterpenes). Our data were similar to previous studies, which concluded that the terpenes were the most important volatiles identified in carrots (especially in red and orange carrots;
      • Güler Z.
      • Karaca F.
      • Yetisir H.
      Identification of volatile organic compounds (VOCs) in different colour carrot (Daucus carota L.) cultivars using static headspace/gas chromatography/mass spectrometry.
      ;
      • Gaggiotti S.
      • Mascini M.
      • Pittia P.
      • Della Pelle F.
      • Compagnone D.
      Headspace volatile evaluation of carrot samples—Comparison of GC/MS and AuNPs-hpDNA-Based E-Nose.
      ). A different study examined the volatile compounds in carrot juice from 12 different varieties and found alpha-terpinene (2.51, 2.69), geranylacetone (2.06, 2.69), caryophyllene (3.94, 3.53), and (E)-gamma-bisabolene (4.05, 4.34) in fresh and processed carrots, respectively (
      • Fukuda T.
      • Tanaka H.
      • Ihori H.
      • Okazaki K.
      • Shinano T.
      • Fukumori Y.
      Identification of important volatiles in fresh and processing carrot varieties: Using Kuroda and Flakee Types.
      ). Table 3 reveals that trans-beta-ionone recorded 3.78%, which is considered as a transconfiguration of β-ionone (cyclic terpenoid required for vitamin A synthesis;
      • Fahlbusch K.
      • Hammerschmidt F.
      • Panten J.
      • Pickenhagen W.
      • Schatkowski D.
      • Bauer K.
      • Garbe D.
      • Surburg H.
      Flavors and Fragrances.
      ), whereas cis-p-mentha-2,8-dien-1-ol (monocyclic terpene) found at a concentration of 0.19%. Additionally, many terpenes are known to have antimicrobial, anticarcinogenic, and antidepressant activities, and they are associated with reducing plasma glucose levels in diabetes mellitus rats (
      • Himejima M.
      • Hobson K.R.
      • Otsuka T.
      • Wood D.L.
      • Kubo I.
      Antimicrobial terpenes from oleoresin of ponderosa pine treePinus ponderosa: A defense mechanism against microbial invasion.
      ;

      Myers, C. E., J. Trepel, E. Sausville, D. Samid, A. Miller, and G. Curt. 1997. Monoterpenes, sesquiterpenes and diterpenes as cancer therapy. US Pat. No. 5,602,184.

      ;
      • Gupta R.
      • Bajpai K.G.
      • Johri S.
      • Saxena A.M.
      An overview of Indian novel traditional medicinal plants with anti-diabetic potentials.
      ;
      • Bahramsoltani R.
      • Farzaei M.H.
      • Farahani M.S.
      • Rahimi R.
      Phytochemical constituents as future antidepressants: A comprehensive review.
      ). It was reported that geranyl acetone has high antiradical activity (
      • Stobiecka A.
      Comparative study on the free radical scavenging mechanism exerted by geraniol and geranylacetone using the combined experimental and theoretical approach.
      ). Moreover, squalene is considered a precursor of steroids, and it stimulates the decrease of total cholesterol, LDL cholesterol, and triacylglycerol levels in hypercholesterolemic patients (
      • Miettinen T.A.
      • Vanhanen H.
      Serum concentration and metabolism of cholesterol during rapeseed oil and squalene feeding.
      ;
      • Chan P.
      • Tomlinson B.
      • Lee C.-B.
      • Lee Y.
      Effectiveness and safety of low-dose pravastatin and squalene, alone and in combination, in elderly patients with hypercholesterolemia.
      ). In addition, squalene participates in the synthesis of vitamin D in the human body (
      • Campos-Vega R.
      • Oomah B.D.
      Chemistry and Classification of Phytochemicals.
      ). However, Table 3 shows that 5,6,7,7a-tetrahydro-4,4,7a-trimethyl-2(4H) benzofuranone and diethylmalonic acid monochloride tetrahydro furfuryl ester recorded 1.68 and 0.95%, respectively, which were related to thermal processing in dehydrated carrots (
      • Soria A.C.
      • Sanz J.
      • Villamiel M.
      Analysis of volatiles in dehydrated carrot samples by solid-phase microextraction followed by GC-MS.
      ). Ethyl-8H-naphtho[2', 1:5,6]pyrano[4,3-b] quinoline-11-carboxylate and 6,8-dichloro-2-[4-chlorophenyl]-4-bromoacetyl quinoline in Table 3 recorded 1.78 and 1.01%, respectively, and belong to a group of quinoline derivatives, which are considered important fragrance substances (
      • Fahlbusch K.
      • Hammerschmidt F.
      • Panten J.
      • Pickenhagen W.
      • Schatkowski D.
      • Bauer K.
      • Garbe D.
      • Surburg H.
      Flavors and Fragrances.
      ). They also have antioxidant, antitumor, and antimalarial activities (
      • Abas F.
      • Lajis N.H.
      • Israf D.A.
      • Khozirah S.
      • Umi Kalsom Y.
      Antioxidant and nitric oxide inhibition activities of selected Malay traditional vegetables.
      ;
      • Behforouz M.
      • Cai W.
      • Mohammadi F.
      • Stocksdale M.G.
      • Gu Z.
      • Ahmadian M.
      • Baty D.E.
      • Etling M.R.
      • Al-Anzi C.H.
      • Swiftney T.M.
      Synthesis and evaluation of antitumor activity of novel N-acyllavendamycin analogues and quinoline-5,8-diones.
      ;
      • Kaur K.
      • Jain M.
      • Kaur T.
      • Jain R.
      Antimalarials from nature.
      ). Also, Table 3 indicates several fatty acids and their esters in carrot powder samples, similar to 9,12-octadecadienoic acid (z,z)-,2(acetyloxy)-1-[(acetyloxy)methyl] ethyl ester, tetradecanoic acid, 1-methylethyl ester, hexadecanoic acid methyl ester, hexadecanoic acid, ethyl ester, trans-delta(sup 9)-octadecenoic acid, oleic acid, 9-octadecenoic acid (Z)-, eicosyl ester, octadecanoic acid, methyl ester, 3-methyl-2,6-dioxo-4-hexenoic acid, delta 9-cis-oleic acid, butyl 9,12-octadecadienoate and (6Z)-6-octadecenoic acid. While the compound 6-fluoro-7-dehydrocholesterol was detected (0.30%) in carrot powder samples (Table 3), it also plays an important role in the synthesizing of vitamin D (Miguel et al., 2019). Data in Table 3 revealed that falcarinol recorded 2.01%. Also, it was found that carrot extracts contain different amounts of falcarinol, falcarindiol, and falcarindiol 3-acetate (
      • Purup S.
      • Larsen E.
      • Christensen L.P.
      Differential effects of falcarinol and related aliphatic C17-polyacetylenes on intestinal cell proliferation.
      ). In addition, another study revealed that falcarinol had anticancer properties (
      • Zidorn C.
      • Jöhrer K.
      • Ganzera M.
      • Schubert B.
      • Sigmund E.M.
      • Mader J.
      • Greil R.
      • Ellmerer E.P.
      • Stuppner H.
      Polyacetylenes from the Apiaceae vegetables carrot, celery, fennel, parsley, and parsnip and their cytotoxic activities.
      ). Table 3 shows that eicosane content recorded 0.43%, which has very strong anti-inflammatory effects (
      • Okechukwu P.N.
      Evaluation of anti-inflammatory, analgesic, antipyretic effect of eicosane, pentadecane, octacosane, and heneicosane.
      ). Also, it was shown that eicosane had an antimicrobial and antifungal effect (
      • Ahsan T.
      • Chen J.
      • Zhao X.
      • Irfan M.
      • Wu Y.
      Extraction and identification of bioactive compounds (eicosane and dibutyl phthalate) produced by Streptomyces strain KX852460 for the biological control of Rhizoctonia solani AG-3 strain KX852461 to control target spot disease in tobacco leaf.
      ). Estra-1,3,5(10)-trien-17.β.-ol in Table 3 recorded 2.93%, which has antitumor, anti-inflammatory, antioxidant, and antimicrobial activities (
      • Mohammed G.J.
      • Al-Jassani M.J.
      • Hameed I.H.
      anti-bacterial, antifungal activity, and chemical analysis of Punica grantanum (pomegranate peel) using GC-MS and FTIR spectroscopy.
      ). In contrast, Table 3 shows that carrot powder contains 1-(4-bromobutyl)-2-piperidinone, which has a strong effect on the pathogenic microorganisms (
      • Al-Salman H.N.K.
      Antimicrobial activity of the compound 2-Piperidinone, N-[4-Bromo-n-butyl]-extracted from pomegranate peels.
      ), whereas estra-1,3,5(10)-trien-17β-ol in our research recorded 2.93%, which has antitumor, anti-inflammatory, antioxidant, and antimicrobial activities (
      • Mohammed G.J.
      • Al-Jassani M.J.
      • Hameed I.H.
      anti-bacterial, antifungal activity, and chemical analysis of Punica grantanum (pomegranate peel) using GC-MS and FTIR spectroscopy.
      ). Moreover, 2-fluorophenyl methyl-1H-purin-6-amine in Table 3 recorded 3.69%, which has antioxidant properties (
      • Budayatin
      • Waluyo J.
      • Wahyuni D.
      • Dafik
      Antibacterial effects of Pheretima javanica extract and bioactive chemical analysis using Gas Chromatography Mass Spectrum.
      ). However, 1.2.3.4-tetrol-L-ribo-octadecane was 3.08%, belonging to guggultetrols, which has a potential treatment for type-II diabetes (
      • Angadi K.K.
      • Gundampati R.K.
      • Jagannadham M.V.
      • Kandru A.
      Molecular docking studies of guggultetrol from Nymphaea pubescens with target glucokinase (GK) related to type-II diabetes.
      ).
      Table 3Gas chromatography-mass spectrometry analysis results of carrot powder methanolic extract
      No.Retention time (min)CompoundValue (%)
      113.703Tetrahydro-2-[(3-methyltricyclo[2.2.1.0(2,6)] hept-3-yl)oxyl-2H-pyran0.214
      214.207Caryophyllene0.842
      314.285Alpha terpinene1.630
      414.66(E)-geranylacetone1.475
      515.372Trans-beta-ionone3.781
      615.695O-cyanobenzaldehyde4.116
      716.083Trans-gamma-bisabolene0.682
      817.1385,6,7,7a-tetrahydro-4,4,7a-trimethyl-2(4H)benzofuranone1.681
      917.474Diethylmalonic acid, monochloride, tetrahydrofurfuryl ester0.955
      1017.875Ethyl-8H-naphtho[2', 1:5,6]pyrano[4,3-b] quinoline-11-carboxylate1.779
      1220.624Phytane0.241
      1321.0849,12-octadecadienoic acid (z,z)-,2(acetyloxy)-1-[(acetyloxy)methyl] ethylester0.474
      1422.0156,8-dichloro-2-[4-chlorophenyl]-4-bromoacetyl quinoline1.013
      1522.339Cis-p-mentha-2,8-dien-1–010.190
      1623.348Tetradecanoic acid, 1-methylethyl ester1.753
      1724.156-fluoro-7-dehydrocholesterol0.298
      1824.318Cystine, Tbs 2×1.148
      1924.725Trans-geranylgeraniol1.867
      2024.874Hexadecanoic acid methyl ester2.097
      2125.01Squalene0.280
      2225.4892-methyl-6-tert-octylphenol0.657
      2325.6123 beta-hydroxy-8-oxo-6.β.H.7.α.H, 11.β. H-germacran-4(14),9(10)-dien0.431
      2425.709Hexadecanoic acid, ethyl ester1.604
      2526.31Trans-delta(sup 9)-octadecenoic acid0.153
      2626.776Falcarinol2.014
      2727.041Oleic acid1.666
      2827.1329-octadecenoic acid (Z)-, eicosyl ester0.930
      2927.403Octadecanoic acid, methyl ester1.992
      3028.2833-methyl-2,6-dioxo-4-hexenoic acid0.222
      3128.3932-octadecoxyethanol0.350
      3229.034Delta 9-cis-oleic acid0.664
      3330.276Eicosane0.430
      3430.502Estra-1,3,5(10)-trien-17.β.-ol2.932
      3532.6561-(4-bromobutyl)-2-piperidinone1.302
      3633.672Venlafaxine1.387
      3734.014Butyl 9,12-octadecadienoate5.228
      3837.1717.7',8,8',11,11,12,12,15,15-decahydro psi-carotene3.999
      3938.044(2-fluorophenyl)methyl)-1H-purin-6-amine3.686
      4039.4091.2.3.4-tetrol-L-ribo-octadecane3.080
      4141.143(6Z)-6-octadecenoic acid1.299
      4241.469,10 dibromopentacosane1.682
      4345.27Glycerol 1-palmitate4.536

      Antimicrobial Activity

      The antimicrobial potential of carrot powder extracts against 6 pathogens was examined in terms of zone inhibition of bacterial growth, and the results are exemplified in Table 4. The growth inhibition zone was measured for 50 µL of carrot powder methanolic extracts, and the zones were in the range of 7.0–10.0 mm. The maximum zone formation was against Pseudomonas aeruginosa. According to a previous study (
      • John S.
      • Priyadarshini S.
      • Monica S.J.
      • Sivaraj C.
      • Arumugam P.
      In vitro evaluation of antioxidant and antimicrobial activity of carrot peel.
      ), it was observed that the growth inhibition zone of the methanolic extracts of carrot peel for 4 bacteria (Shigella flexneri, Escherichia coli, Staphylococcus aureus, and Klebsiella pneumonia) ranged from 12 to 14 mm. These differences in zone inhibition of carrot extracts could be attributed to the variation in sample extract concentrations.
      Table 4Antimicrobial activity ± SD of carrot powder methanolic extract
      Bacterial strain
      AUMC no. = Assiut University Mycological Center.
      Inhibition zone
      Cont = chloramphenicol as the antimicrobial standard.
      (mm)
      Carrot powder methanolic extractCont
      Bacillus cereus (positive) AUMC no. B-527.0 ± 2.020.0 ± 3.0
      Escherichia coli (negative) AUMC no. B-538.0 ± 1.023.0 ± 3.0
      Micrococcus luteus (positive) AUMC no. B-1127.0 ± 3.022.0 ± 2.0
      Pseudomonas aeruginosa (negative) AUMC no. B-7310.0 ± 1.018.0 ± 3.0
      Serratia marcescens (negative) AUMC no. B-558.0 ± 4.022.0 ± 2.0
      Staphylococcus aureus (positive) AUMC no. B- 547.0 ± 2.020.0 ± 3.0
      1 AUMC no. = Assiut University Mycological Center.
      2 Cont = chloramphenicol as the antimicrobial standard.

      Probiotic Soft Cheese: Cheese Yield

      Figure 1 demonstrates the cheese yield of probiotic soft cheese. The cheese yield ranged from 18.2 to 20.5%. These results were lower than the yield of fresh soft cheeses made from cow's milk with different systems (monoculture system and intensive silvopastoral system in different seasons;
      • Mohammed A.H.M.
      • Aguilar-Pérez C.F.
      • Ayala-Burgos A.J.
      • Bottini-Luzardo M.B.
      • Solorio-Sánchez F.J.
      • Ku-Vera J.C.
      Evaluation of milk composition and fresh soft cheese from an intensive silvopastoral system in the tropics.
      ). The presence of somatic cell proteinases in milk could be responsible for these differences (
      • Holt C.
      • Roginski H.
      ). According to Figure 1, the carrot addition in probiotic soft cheese samples reflected a significant (P < 0.05) increase in cheese yield. This increase in cheese yield could be associated with the presence of fiber content in carrot powder, containing hydroxyl groups that interact with the hydrogen bonds of water (
      • Gómez M.
      • Jiménez S.
      • Ruiz E.
      • Oliete B.
      Effect of extruded wheat bran on dough rheology and bread quality.
      ). This, in turn, increases the water holding capacity (
      • Guyih M.D.
      • Dinnah A.
      • Ojotu Eke M.
      Production and quality evaluation of cookies from wheat, almond seed, and carrot flour blends.
      ), and thereby elevates the moisture content and yield of the final cheese.
      • Emmons D.B.
      found that increasing the moisture content in cheese from 0.32 to 0.57% elevated the yield from 1.67 to 2.87%.
      • Mehaia M.A.
      Fresh soft white cheese (Domiati-type) from camel milk: Composition, yield, and sensory evaluation.
      reported that low cheese yield might be caused by lower moisture content in the cheese.
      Figure thumbnail gr1
      Figure 1Cheese yield (%) of probiotic soft cheese supplemented with carrot powder. C = probiotic soft cheese without any carrot; T1 = probiotic soft cheese with 0.2% carrot powder; T2 = probiotic soft cheese with 0.4% carrot powder; T3 = probiotic soft cheese with 0.6% carrot powder. Means within treatments not sharing a common letter (a, b) are different (P < 0.05). Values shown are mean ± SD.

      Properties of Probiotic Soft Cheese

      Sensory Evaluation

      Sensory evaluation results for fresh cheese and after 28 d of storage are shown in Table 5 and Figure 2. According to Table 5, probiotic cheese with 0.2% carrot powder recorded the highest values in all studied parameters after 28 d, but this increase was not significant (P > 0.05). Carrot addition enhances the flavor due to its content of terpenoids and sugars, which are responsible for carrot flavor (
      • Jones M.G.
      ). Although we observed an increase in the additional percentage of carrot powder during cheese making to 0.6%, body and texture parameters decreased which resulted in holes and increased firmness in the final cheese. In terms of color and appearance, T3 (probiotic cheese with 0.6% carrot powder) had a slight orange color. This observation of color was reported in another study (
      • Hussein M.A.
      • Yonis A.A.M.
      • Abd El - Mageed H.A.
      Effect of adding carrot powder on the rheological and sensory properties of pan bread.
      ). With the increase in the storage duration and ripening of cheese samples, we observed an increase in the overall sensory characteristics of all cheese samples as illustrated in Table 5, which was similar to another report (
      • Hamdy A.M.
      • Ahmed M.E.
      • Mehta D.
      • Elfaruk M.S.
      • Hammam A.R.A.
      • El-Derwy Y.M.A.
      Enhancement of low-fat Feta cheese characteristics using probiotic bacteria.
      ). They noticed enhancement of flavor, body, and texture of low-fat Feta cheeses after 30 d of storage at 4°C. Table 5 shows that we observed no significant differences between all cheese samples in all parameters after 28 d of storage, except for sample T3 which had the lowest (P < 0.05) color and appearance. The total score of the sensory evaluation is presented in Figure 2. Sample T1 (probiotic cheese with 0.2% carrot powder) had the highest overall score (P < 0.05) at the beginning of the ripening, whereas we observed no significant differences in overall score between all cheese samples after 28 d of storage.
      Table 5Sensory evaluation of probiotic soft cheese supplemented with carrot powder; values shown are mean ± SD
      Storage period (d)Treatment
      Treatment: control = probiotic soft cheese without any carrot; T1 = probiotic soft cheese with 0.2% carrot powder; T2 = probiotic soft cheese with 0.4% carrot powder; T3 = probiotic soft cheese with 0.6% carrot powder.
      Flavor (50 points)Body and texture (40 points)Color and appearance (10 points)
      0Control44.50
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 4.20
      35.50
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 3.07
      8.37
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 1.18
      T144.87
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 3.83
      36.00
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 2.26
      8.62
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.91
      T240.87
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 4.29
      31.50
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 3.16
      7.31
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.79
      T336.37
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 5.85
      29.87
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 5.43
      6.75
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 1.48
      28Control45.00
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.00
      40.00
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.00
      9.66
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.57
      T144.00
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 4.50
      38.00
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 2.88
      8.66
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.57
      T240.00
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 1.15
      37.00
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 2.51
      8.00
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 1.00
      T340.00
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 5.00
      33.00
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 5.77
      7.00
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 2.00
      a–c Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      1 Treatment: control = probiotic soft cheese without any carrot; T1 = probiotic soft cheese with 0.2% carrot powder; T2 = probiotic soft cheese with 0.4% carrot powder; T3 = probiotic soft cheese with 0.6% carrot powder.
      Figure thumbnail gr2
      Figure 2Total scores of organoleptic properties of probiotic soft cheese supplemented with carrot powder. C = probiotic soft cheese without any carrot; T1 = probiotic soft cheese with 0.2% carrot powder; T2 = probiotic soft cheese with 0.4% carrot powder; T3 = probiotic soft cheese with 0.6% carrot powder. Means within treatments not sharing a common letter (a, b) are different (P < 0.05). Values shown are mean ± SD.

      Protein Content and Nitrogenous Fractions

      The protein content of probiotic soft cheese is revealed in Table 6. The TP was calculated in fresh cheese samples by multiplying nitrogen content by 6.38. The TP was 24.84, 27.62, 27.67, and 31.26% in the control, T1, T2, and T3 cheese on a dry basis, respectively. These results reflected the enhancement of protein levels after carrot powder addition. It was found that the protein content in fresh soft cheeses made from cow milk ranged from 32.7 to 36.4% on a dry basis (
      • Mohammed A.H.M.
      • Aguilar-Pérez C.F.
      • Ayala-Burgos A.J.
      • Bottini-Luzardo M.B.
      • Solorio-Sánchez F.J.
      • Ku-Vera J.C.
      Evaluation of milk composition and fresh soft cheese from an intensive silvopastoral system in the tropics.
      ). Table 6 illustrates that SN content in fresh control cheese samples was 0.6% (1.24% on a dry basis), which is in agreement with another study (
      • Efthymiou C.C.
      • Mattick J.F.
      Development of domestic Feta cheese.
      ). The effect of rennet in casein hydrolysis was greater (into water-soluble peptides) than bacterial enzymes during the early stage of ripening (
      • Pereira C.I.
      • Neto D.M.
      • Capucho J.C.
      • Gião M.S.
      • Gomes A.M.P.
      • Malcata F.X.
      How three adventitious lactic acid bacteria affect proteolysis and organic acid production in model Portuguese cheeses manufactured from several milk sources and two alternative coagulants.
      ). Additionally, we observed a trend of decreasing SN values of fresh cheese samples at 0 d with an elevation in carrot powder concentration. This could be due to the effect of carrot powder on the rennet in the curd (keeping it trapped). referring to the curd ability to trap chymosin (
      • McSweeney P.L.H.
      Biochemistry of cheese ripening.
      ). In our study, at 28 d of ripening, SN content increased in all samples, while others found that SN contents in soft ultrafiltrate and control cheese samples at 21 d of ripening recorded higher values (1.41 and 1.08%, respectively;
      • Furtado M.M.
      • Partridge J.A.
      Characterization of nitrogen fractions during ripening of a soft cheese made from ultrafiltration retentates.
      ). These differences may be due to the difference in cheese salting, which delays the proteolysis activity (
      • Park Y.W.
      Proteolysis and lipolysis of goat milk cheese.
      ).
      Table 6Protein content and nitrogenous fractions of probiotic soft cheese supplemented with carrot powder; values shown are mean ± SD
      Storage period (d)Treatment
      Treatment: control = probiotic soft cheese without any carrot; T1 = probiotic soft cheese with 0.2% carrot powder; T2 = probiotic soft cheese with 0.4% carrot powder; T3 = probiotic soft cheese with 0.6% carrot powder. TP = total protein; SN = soluble nitrogen.
      TP
      TP on a dry basis; TP = nitrogen content × 6.38.
      SNNPN
      0Control24.84
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.00
      0.60
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.00
      0.60
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.00
      T127.62
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.51
      0.41
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.06
      0.38
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.00
      T227.67
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.96
      0.35
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.073
      0.27
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.00
      T331.26
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.99
      0.40
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.02
      0.36
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.00
      28Control0.76
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.13
      0.75
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.26
      T10.84
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.13
      0.79
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.35
      T20.82
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.23
      0.77
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.20
      T30.71
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.03
      0.66
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      ± 0.00
      a–d Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      1 Treatment: control = probiotic soft cheese without any carrot; T1 = probiotic soft cheese with 0.2% carrot powder; T2 = probiotic soft cheese with 0.4% carrot powder; T3 = probiotic soft cheese with 0.6% carrot powder. TP = total protein; SN = soluble nitrogen.
      2 TP on a dry basis; TP = nitrogen content × 6.38.
      In contrast, NPN contents in control cheese samples at 0 d were higher than other cheese samples (Table 6),whereas
      • Furtado M.M.
      • Partridge J.A.
      Characterization of nitrogen fractions during ripening of a soft cheese made from ultrafiltration retentates.
      found that NPN values after 1 d of ripening were 0.30 and 0.21% in soft ultrafiltrate and control cheese samples, respectively. The NPN values revealed the capability of microbial origin enzymes to degrade large peptides (which are released by the rennet) and produced small peptides, free amino acids, and ammonia nitrogen (
      • Calvo M.V.
      • Castillo I.
      • Díaz-Barcos V.
      • Requena T.
      • Fontecha J.
      Effect of a hygienized rennet paste and a defined strain starter on proteolysis, texture, and sensory properties of semi-hard goat cheese.
      ). Table 6 shows that the addition of carrot powder contributed to secondary proteolysis after 28 d of storage; however, this addition decreased the NPN nonsignificantly. These results may be attributed to the inhibition effect of carrot powder on proteolytic bacteria.
      Figure 3 shows the ripening extension index in cheese made with carrot powder. The ripening extension index ranged from 25.41 to 36.58% at 0 d, with the control sample being the highest (P < 0.05) in the ripening extension index. Similar results were reported by
      • Efthymiou C.C.
      • Mattick J.F.
      Development of domestic Feta cheese.
      . After 28 d of ripening, the extension index increased at a slow rate, which might be attributed to the low temperature during storage, and this, in turn, reduce the rate of protein hydrolysis (
      • Daigle A.
      • Roy D.
      • Bélanger G.
      • Vuillemard J.C.
      Production of probiotic cheese (cheddar-like cheese) using enriched cream fermented by Bifidobacterium infantis.
      ). Furthermore,
      • Furtado M.M.
      • Partridge J.A.
      Characterization of nitrogen fractions during ripening of a soft cheese made from ultrafiltration retentates.
      found that the ripening extension index values in soft ultrafiltrate and control cheese samples after 21 d of ripening were 48.5 and 41.1%, respectively.
      Figure thumbnail gr3
      Figure 3Ripening extension index of probiotic soft cheese supplemented with carrot powder. SN%TN = soluble nitrogen as a percentage of total nitrogen; C = probiotic soft cheese without any carrot; T1 = probiotic soft cheese with 0.2% carrot powder; T2 = probiotic soft cheese with 0.4% carrot powder; T3 = probiotic soft cheese with 0.6% carrot powder. Means within treatments not sharing a common letter (a, b) are different (P < 0.05). Values shown are mean ± SD.
      However, Figure 4 shows the ripening depth index in all cheese samples at 0 d and after 28 d of storage. Lower values of the ripening depth index were found by
      • Furtado M.M.
      • Partridge J.A.
      Characterization of nitrogen fractions during ripening of a soft cheese made from ultrafiltration retentates.
      . These differences might be attributed to the use of 4 bacterial starters with rennet in the current study, which activates casein hydrolysis (
      • Sousa M.
      • Ardö Y.
      • McSweeney P.L.
      Advances in the study of proteolysis during cheese ripening.
      ). Furthermore, the addition of carrot powder caused a decrease in the ripening depth index. Although we observed the ability of carrot addition to increase the numbers of LAB (which release enzymes and produce NPN), this addition had a small influence on proteolysis due to the low ability of Lactiplantibacillus plantarum ssp. plantarum in protein hydrolysis (
      • Zhang X.
      • Hao X.
      • Wang H.
      • Li X.
      • Liu L.
      • Yang W.
      • Zhao M.
      • Wang L.
      • Massounga Bora A.F.
      The effects of Lactobacillus plantarum combined with inulin on the physicochemical properties and sensory acceptance of low-fat cheddar cheese during ripening.
      ). In addition, LAB consume amino acids as a nitrogen source during the growth (
      • Pereira C.I.
      • Neto D.M.
      • Capucho J.C.
      • Gião M.S.
      • Gomes A.M.P.
      • Malcata F.X.
      How three adventitious lactic acid bacteria affect proteolysis and organic acid production in model Portuguese cheeses manufactured from several milk sources and two alternative coagulants.
      ).
      Figure thumbnail gr4
      Figure 4Ripening depth index of probiotic soft cheese samples supplemented with carrot powder. NPN%TN = nonprotein nitrogen as a percentage of total nitrogen; C = probiotic soft cheese without any carrot; T1 = probiotic soft cheese with 0.2% carrot powder; T2 = probiotic soft cheese with 0.4% carrot powder; T3 = probiotic soft cheese with 0.6% carrot powder. Means within treatments not sharing a common letter (a, b) are different (P < 0.05). Values shown are mean ± SD.

      Moisture, Fat, Salt, and Acidity Contents

      Table 7 exemplifies that the moisture content of probiotic cheese supplemented with carrot powder increased significantly (P < 0.05) by elevating the concentration of carrot addition. This increase could be due to the enhancement of water holding capacity (
      • Guyih M.D.
      • Dinnah A.
      • Ojotu Eke M.
      Production and quality evaluation of cookies from wheat, almond seed, and carrot flour blends.
      ). We observed a trend in decreasing water content during storage so the control sample had the lowest moisture content (51.66%) after 28 d of storage. Similar results were noticed by others, as they found that the moisture content decreased in cheese samples during storage (
      • Abd El-Rafee S.
      • Abd El-Gawad M.A.M.
      Effect of milk types on the properties of Provolone cheese.
      ). In contrast, Table 7 reveals that cheeses treated with carrot powder had higher moisture contents and lower fat (especially in sample T3). Similar findings were reported by other researchers when they treated soft white cheese with cranberry fruit extract (
      • Khalifa S.A.
      • Wahdan K.M.
      Improving the quality characteristics of white soft cheese using cranberry (Vaccinium macrocarpon) fruit extract.
      ). Meanwhile, it was found that fat content ranged between 25.5 and 25.75% in probiotic cheeses with different starters (
      • Yerlikaya O.
      • Ozer E.
      Production of probiotic fresh white cheese using co-culture with Streptococcus thermophilus.
      ). After 28 d of storage, fat content increased in cheese treated with carrot powder (Table 7) due to the increment of dry matter. Elevating the content of carrot powder to 0.6% during the making of probiotic soft cheese had a significant effect (P < 0.05) on salt contents, as sample T3 recorded the highest ash value (4.09%). These results might be related to the increment of moisture content with carrot addition, which increases the cheese's ability to absorb more salt (
      • Ayyash M.
      • Abu-Jdayil B.
      • Hamed F.
      • Shaker R.
      Rheological, textural, microstructural, and sensory impact of exopolysaccharide-producing Lactobacillus plantarum isolated from camel milk on low-fat akawi cheese.
      ). Moreover,
      • Yerlikaya O.
      • Ozer E.
      Production of probiotic fresh white cheese using co-culture with Streptococcus thermophilus.
      found that salt content ranged from 4.91 to 5.03% in white cheeses, which were manufactured with different probiotic bacteria. Even though throughout the ripening period, salt content fluctuated due to the diffusion of salt between whey and cheese samples (
      • Topçu A.
      • Saldamli I.
      Proteolytical, chemical, textural, and sensorial changes during the ripening of Turkish white cheese made of pasteurized cows’.
      ;
      • Pereira C.I.
      • Neto D.M.
      • Capucho J.C.
      • Gião M.S.
      • Gomes A.M.P.
      • Malcata F.X.
      How three adventitious lactic acid bacteria affect proteolysis and organic acid production in model Portuguese cheeses manufactured from several milk sources and two alternative coagulants.
      ), we observed no significant differences (P > 0.05) between all fresh cheese samples in titratable acidity. By increasing the storage period, the control cheese samples had a higher significant (P < 0.05) titratable acidity than the cheese samples treated with carrot powder. These results agreed with the findings of several studies (
      • Yerlikaya O.
      • Ozer E.
      Production of probiotic fresh white cheese using co-culture with Streptococcus thermophilus.
      ;
      • Khalifa S.A.
      • Wahdan K.M.
      Improving the quality characteristics of white soft cheese using cranberry (Vaccinium macrocarpon) fruit extract.
      ) as they found a similar trend in the titratable acidity.
      Table 7Mean (n = 3) ± SD composition (%) of probiotic soft cheese supplemented with carrot powder during storage for 28 d
      ItemTreatment
      Treatment: control = probiotic soft cheese without any carrot; T1 = probiotic soft cheese with 0.2% carrot powder; T2 = probiotic soft cheese with 0.4% carrot powder; T3 = probiotic soft cheese with 0.6% carrot powder.
      Storage period (d)
      07142128Mean
      MoistureControl57.88 ± 0.8858.65 ± 0.8366.26 ± 3.8559.66 ± 1.0851.66 ± 0.6058.82
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T166.18 ± 0.7762.03 ± 5.8866.30 ± 1.6158.94 ± 2.8161.43 ± 3.3362.97
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T266.72 ± 0.7262.00 ± 3.4268.30 ± 1.3565.84 ± 1.0259.51 ± 0.3064.47
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T370.61 ± 0.6167.26 ± 1.7668.18 ± 1.2366.70 ± 1.0767.60 ± 1.6268.07
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      Mean65.34
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      62.48
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      67.26
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      62.78
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      60.05
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      FatControl24.00 ± 1.0024.66 ± 0.5725.33 ± 1.1520.66 ± 0.5720.66 ± 0.5723.06
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T123.33 ± 1.5221.00 ± 1.0023.66 ± 2.5124.66 ± 0.5731.33 ± 1.1524.80
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T222.00 ± 2.6419.66 ± 0.5722.66 ± 3.2122.33 ± 0.5728.33 ± 0.5723.00
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T321.00 ± 1.1517.33 ± 0.5723.66 ± 0.5720.33 ± 1.1523.33 ± 0.0521.20
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      Mean22.66
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      20.66
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      23.83
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      22.00
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      25.92
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      SaltControl3.97 ± 0.044.16 ± 0.004.19 ± 0.163.60 ± 0.043.77 ± 0.043.94
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T13.65 ± 0.004.31 ± 0.014.18 ± 0.043.75 ± 0.043.65 ± 0.003.91
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T23.99 ± 0.084.16 ± 0.003.77 ± 0.043.99 ± 0.043.85 ± 0.043.95
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T34.09 ± 0.004.53 ± 0.004.01 ± 0.073.92 ± 0.043.71 ± 0.014.05
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      Mean3.93
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      4.29
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      4.04
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      3.82
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      3.75
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      AcidityControl0.45 ± 0.000.45 ± 0.000.90 ± 0.00000.90 ± 0.01.15 ± 0.050.77
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T10.52 ± 0.120.67 ± 0.000.67 ± 0.002890.75 ± 0.120.90 ± 0.000.70
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T20.45 ± 0.000.67 ± 0.000.67 ± 0.00500.67 ± 0.000.67 ± 0.000.62
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T30.45 ± 0.000.67 ± 0.000.67 ± 0.00500.67 ± 0.000.45 ± 0.000.58
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      Mean0.46
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      0.61
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      0.73
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      0.75
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      0.79
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      a–d Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      A–D Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      1 Treatment: control = probiotic soft cheese without any carrot; T1 = probiotic soft cheese with 0.2% carrot powder; T2 = probiotic soft cheese with 0.4% carrot powder; T3 = probiotic soft cheese with 0.6% carrot powder.

      Microbiological Characteristics

      The TBC of probiotic soft cheese made with carrot is shown in Table 8. We observed an increase in TBC during storage. Similarly,
      • Khalifa S.A.
      • Wahdan K.M.
      Improving the quality characteristics of white soft cheese using cranberry (Vaccinium macrocarpon) fruit extract.
      reported a rise in TBC in soft white cheese during the storage period. However, our study showed a significant reduction (P < 0.05) of TBC at 0 d of storage for samples T2 and T3 containing carrot concentrations of 0.4 and 0.6%, respectively, compared with the control sample. The decline of TBC in cheese made with carrot powder revealed the preservative effect of carrot used in probiotic soft cheese. The current study also evaluated the growth of LAB and Bifidobacterium species during the storage period (Table 8) and observed a significant (P < 0.05) increase in both probiotic cultures during the storage of samples T2 and T3. Because LAB are known to release bacteriocins, the reduction in TBC counts can be a result of the increase in LAB (
      • Arqués J.L.
      • Rodríguez E.
      • Langa S.
      • Landete J.M.
      • Medina M.
      Antimicrobial activity of lactic acid bacteria in dairy products and gut: Effect on pathogens.
      ;
      • Garnier L.
      • Mounier J.
      • Lê S.
      • Pawtowski A.
      • Pinon N.
      • Camier B.
      • Chatel M.
      • Garric G.
      • Thierry A.
      • Coton E.
      • Valence F.
      Development of antifungal ingredients for dairy products: From in vitro screening to pilot scale application.
      ). Lactic acid bacteria recorded their highest number in sample T3 after 21 d of storage, followed by a decrease from 8.77 to 8.47 log cfu/g (Table 8). This decline may be due to the consumption of nutrients and lactic acid production by LAB, which affected their growth and numbers (
      • Mushtaq M.
      • Gani A.
      • Shetty P.H.
      • Masoodi F.A.
      • Ahmad M.
      Himalayan cheese (Kalari/kradi): Effect of different storage temperatures on its physicochemical, microbiological, and antioxidant properties.
      ). A previous study referred to the recommended level of probiotic bacteria in food during consumption as 6 log cfu/g (
      • Karimi R.
      • Sohrabvandi S.
      • Mortazavian A.M.
      Review article: Sensory characteristics of probiotic cheese.
      ), whereas in our study, LAB and Bifidobacterium longum counts were 8.47 and 9.40 log cfu/g in T3 after 28 d of ripening. These results indicate that probiotic bacteria can survive in the final cheese with carrot powder addition during ripening, as carrot powder induced and maintained the growth of probiotic bacteria. However, proteolytic bacteria appeared in all cheese samples after 14 d of storage, followed by a decrease in counts by the end of storage. Similar growth trends of proteolytic and lipolytic bacteria were reported (
      • Khalifa S.A.
      • Wahdan K.M.
      Improving the quality characteristics of white soft cheese using cranberry (Vaccinium macrocarpon) fruit extract.
      ). Furthermore, elevating the carrot powder concentration in probiotic cheese samples resulted in a decrease in proteolytic counts, while no lipolytic bacteria were observed. However, psychotropic counts were observed after 28 d of storage for all samples. Test T3 recorded the lowest psychotropic count. The results of yeast and mold analysis revealed the growth of molds in the control samples only after 21 d of storage, whereas yeast counts were not detected in any of the cheese samples during storage for 28 d.
      Table 8Mean (n = 3) ± SD microbiological characteristics (log cfu/g) of probiotic soft cheese supplemented with carrot powder during storage for 28 d
      ItemTreatment
      Treatment: control = probiotic soft cheese without any carrot; T1 = probiotic soft cheese with 0.2% carrot powder; T2 = probiotic soft cheese with 0.4% carrot powder; T3 = probiotic soft cheese with 0.6% carrot powder. ND = not detected.
      Storage period (d)Mean
      07142128
      Total bacterial count (TBC)Control7.48 ± 0.048.30 ± 0.029.38 ± 0.019.44 ± 0.019.29 ± 0.068.78
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T17.47 ± 0.0408.25 ± 0.059.29 ± 0.029.35 ± 0.009.29 ± 0.048.73
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T27.37 ± 0.0158.23 ± 0.019.17 ± 0.019.19 ± 0.008.99 ± 0.028.59
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T37.35 ± 0.047.71 ± 0.027.99 ± 0.088.05 ± 0.057.99 ± 0.047.81
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      Mean7.42
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      8.12
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      8.96
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      9.01
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      8.89
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      Lactic acid bacteria (LAB)Control7.11 ± 0.067.64 ± 0.027.59 ± 0.046.57 ± 0.036.47 ± 0.017.07
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T17.13 ± 0.057.72 ± 0.027.99 ± 0.047.47 ± 0.017.47 ± 0.037.55
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T27.14 ± 0.037.80 ± 0.038.17 ± 0.028.46 ± 0.118.29 ± 0.027.97
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T37.17 ± 0.037.90 ± 0.058.36 ± 0.018.77 ± 0.038.47 ± 0.078.13
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      Mean7.13
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      7.76
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      8.03
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      7.82
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      7.67
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      Bifidobacterium longumControl7.65 ± 0.047.49 ± 0.117.20 ± 0.016.84 ± 0.016.71 ± 0.027.17
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T17.70 ± 0.018.29 ± 0.029.14 ± 0.129.09 ± 0.338.90 ± 0.008.62
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T28.18 ± 0.658.40 ± 0.019.38 ± 0.169.19 ± 0.059.15 ± 0.028.86
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T38.79 ± 0.918.45 ± 0.049.39 ± 0.039.31 ± 0.349.40 ± 0.279.07
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      Mean8.08
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      8.16
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      8.78
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      8.60
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      8.54
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      ProteolyticControlNDND7.55 ± 0.018.31 ± 0.016.94 ± 0.147.60
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T1NDND7.49 ± 0.027.92 ± 0.036.71 ± 0.807.37
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T2NDND7.27 ± 0.036.31 ± 0.016.44 ± 1.186.67
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T3NDND6.74 ± 0.046.80 ± 0.286.73 ± 0.776.75
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      Mean7.26
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      7.33
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      6.70
      Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      PsychotropicsControlNDNDNDND8.26
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T1NDNDNDND8.27
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T2NDNDNDND8.20
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      T3NDNDNDND7.73
      Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      LipolyticControlNDNDND6.546.3
      T1NDNDNDNDND
      T2NDNDNDNDND
      T3NDNDNDNDND
      MoldControlNDNDND66.89
      T1NDNDNDNDND
      T2NDNDNDNDND
      T3NDNDNDNDND
      YeastControlNDNDNDNDND
      T1NDNDNDNDND
      T2NDNDNDNDND
      T3NDNDNDNDND
      a–d Means in the same column within the same period not sharing a common superscript are different (P < 0.05).
      A–E Means in the same row within the same period not sharing a common superscript are different (P < 0.05).
      1 Treatment: control = probiotic soft cheese without any carrot; T1 = probiotic soft cheese with 0.2% carrot powder; T2 = probiotic soft cheese with 0.4% carrot powder; T3 = probiotic soft cheese with 0.6% carrot powder. ND = not detected.

      CONCLUSIONS

      Results of the present study indicated that carrot powder is a good source of nutrients, such as minerals, β-carotene, lycopene, phenolic compounds, and flavonoids. We also found that carrot powder enhanced the antimicrobial and antioxidative value of the probiotic cheese cheese. Using carrot powder as a functional ingredient in probiotic soft cheese induces the growth of probiotic bacteria, and therefore can be used as a potential prebiotic to improve the viability of probiotic bacteria in various food applications similar to white cheese.

      ACKNOWLEDGMENTS

      This study received no external funding. The authors thank Adel Tammam (Professor of Dairy Science at the Dairy Science Department, Faculty of Agriculture, Assiut University, Egypt) for his guidance and support. The authors have not stated any conflicts of interest.

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