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Article| Volume 87, ISSUE 1, P11-19, January 2004

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Preference Mapping of Cheddar Cheese with Varying Maturity Levels

      Abstract

      The objective of this study was to evaluate the flavor profile and acceptability of 7 Cheddar cheeses of varying maturity using descriptive analysis and consumer acceptance tests. Cheddar cheeses (n = 7) ranging in age from 1 to 19 mo were selected based on age, geographic region, and flavor profile. Descriptive sensory profiles of selected cheeses were determined using a trained panel (n = 14) and an established cheese flavor sensory language. Cheeses were evaluated for consumer acceptability in two demographic locations: North Carolina and Oregon. Consumers (n = 100 at each location) assessed the cheeses for overall liking and other consumer attributes. Cheddar cheeses demonstrated distinct differences in descriptive sensory profiles. Average consumer responses between the two locations were not different. Six distinct consumer clusters were identified, and the number of consumers in these clusters differed between the two locations. Consumers differentiated “young” and “aged” cheese flavor, but both young and mature cheeses were perceived by consumers as exhibiting intense Cheddar cheese flavors. Cheddar cheese acceptance varies widely among consumers and is related to consumer preferences for distinct cheese flavor profiles.

      Key words

      Abbreviation key:

      GPA (generalized procrustes analysis), NCSU (North Carolina State University), OSU (Oregon State University), PCA (principal component analysis)

      Introduction

      Flavor is widely recognized as a significant factor of cheese acceptance and quality. Extensive research has been conducted in understanding Cheddar cheese flavor through analytical and sensory analysis methods. Sensory methods have been used to determine Cheddar cheese flavor attributes using descriptive analysis and consumer evaluation methods (
      • McEwan J.A.
      • Moore J.D.
      • Colwill J.S.
      The sensory characteristics of Cheddar cheese and their relationship with acceptability.
      ;
      • Muir D.D.
      • Banks J.M.
      • Hunter E.A.
      A comparison of the flavour and texture of cheddar cheese of factory or Farmhouse origin.
      ;
      • Fenelon M.A.
      • Guinee T.P.
      • Delahunty C.
      • Murray J.
      • Crowe F.
      Composition and sensory attributes of retail cheddar cheese with different fat contents.
      ;
      • Guldfeldt L.U.
      • Sørensen K.I.
      • Strøman P.
      • Behrndt H.
      • Williams D.
      • Johansen E.
      Effect of starter cultures with a genetically modified peptidolytic or lytic system on Cheddar cheese ripening.
      ). In 2001, Drake et al. published a Cheddar cheese flavor lexicon for describing Cheddar cheese flavor attributes. The language was subsequently validated using independently trained sensory panels at three sites (
      • Drake M.A.
      • Gerard P.D.
      • Wright S.
      • Cadwallader K.R.
      • Civille G.V.
      Cross validation of a sensory language for Cheddar cheese.
      ). The development of a standardized flavor lexicon for Cheddar flavor provides a platform to link perceived flavors to volatile components and to consumer perception (
      • Drake M.A.
      • Civille G.V.
      Flavor lexicons.
      ).
      Preference mapping assists scientists in understanding the descriptive sensory attributes that influence consumer preferences (
      • Schlich P.
      Preference mapping: relating consumer preferences to sensory or instrumental measurements.
      ;
      • McEwan J.A.
      Preference mapping for product optimization.
      ;
      • Murray J.M.
      • Delahunty C.M.
      Consumer preference for Irish farmhouse and factory cheeses.
      ). Preference mapping techniques are commonly used to examine the relationship between descriptive sensory data and consumer responses (
      • McEwan J.A.
      Preference mapping for product optimization.
      ). The two main areas of preference mapping are internal preference mapping and external preference mapping. Internal preference mapping is a principal component analysis (PCA) of the matrix of hedonic scores across the products (the observations) and the consumer (the variables), which is carried out on a covariance matrix to allow for differences in the strength of the consumer preferences to be expressed (
      • Guinard J.X.
      Data collection and analysis methods for consumer testing.
      ). External preference mapping regresses individual consumer preferences onto the first two principal components of the covariance matrix of descriptive or other analytical ratings across products (
      • Schlich P.
      Preference mapping: relating consumer preferences to sensory or instrumental measurements.
      ;
      • Guinard J.X.
      Data collection and analysis methods for consumer testing.
      ). In external preference mapping, the dimensions of the descriptive analysis space are the predictor variables, whereas consumer acceptability is the response variable (
      • Schlich P.
      Preference mapping: relating consumer preferences to sensory or instrumental measurements.
      ). Both internal and external preference mapping techniques have been implemented in an increasing number of dairy research studies (
      • Pagliarini E.
      • Monteleone E.
      • Wakeling I.
      Sensory profile description of mozzarella cheese and its relationship with consumer preference.
      ;
      • Hough G.
      • Sánchez R.
      Descriptive analysis and external preference mapping of powdered chocolate milk.
      ;
      • Yackinous C.
      • Wee C.
      • Guinard J.X.
      Internal preference mapping of hedonic ratings for Ranch salad dressings varying in fat and garlic flavor.
      ;
      • Murray J.M.
      • Delahunty C.M.
      Mapping consumer preference for the sensory and packaging attributes for Cheddar cheese.
      ;
      • Richardson-Harman N.J.
      • Stevens R.
      • Walker S.
      • Gamble J.
      • Miller M.
      • Wong M.
      • McPherson A.
      Mapping consumer perceptions of creaminess and liking for liquid dairy products.
      ).
      Limited research has been performed using preference mapping techniques to understand consumer perception and acceptability of the flavor profiles of Cheddar cheese. Cheddar cheese flavor is characterized by complex flavors associated with age and processing procedures; cheeses with varying maturity levels have distinctive flavor profiles (
      • Drake M.A.
      • McIngvale S.C.
      • Gerard P.D.
      • Cadwallader K.R.
      • Civille G.V.
      Development of a descriptive language for cheddar cheese.
      ). Moreover, diverse demographics might have different attitudes relating to the consumer acceptability of Cheddar cheese. The objective of this study was to evaluate the flavor profile and acceptability of 7 Cheddar cheeses of varying maturity using descriptive analysis and consumer acceptance tests.

      Materials and Methods

      Selection of Cheeses

      Cheddar cheeses (n = 7) ranging in age from 1 to 19 mo were selected based on age and flavor profile from a diverse set (n = 30) of commercial 20-kg Cheddar cheese blocks received at North Carolina State University (NCSU). The cheeses were screened and the 7 blocks selected for the study by flavor evaluation by 4 individuals each with more than 200 h of experience with sensory analysis of Cheddar cheese flavor. Cheeses were stored at 7°C in the dark until analysis. All cheeses were full fat commercial US Cheddar cheeses, made from pasteurized milk with less than 39% moisture (wt/wt) (Table 1).
      Table 1Production and age description of Cheddar cheeses selected for this study.
      CheeseLocation of manufactureAge (mo)
      Treatment 1Midwest, stirred curd, location 11
      Treatment 2Midwest, milled curd, location 24
      Treatment 3Midwest, milled curd, location 28
      Treatment 4Midwest, milled curd, location 312
      Treatment 5Midwest, milled curd, location 319
      Treatment 6Northeast, milled curd, location 419
      Treatment 7Northeast, milled curd, location 519

      Descriptive Sensory Analysis

      Sensory testing was conducted in compliance with NCSU Institutional Review Board for Human Subjects approval. Cheddar cheeses were cut into 1-inch cubes for descriptive sensory analysis. The cheeses were placed into 4-oz. soufflé cups with 3-digit codes. The cheeses were tempered at 10°C for 1 h and were served at this temperature with spring water and unsalted crackers for palate cleansing. Descriptive analysis was conducted at NCSU and used a 15-point universal intensity scale with the Spectrum™ method (Meilgaard et al., 1999;
      • Drake M.A.
      • Civille G.V.
      Flavor lexicons.
      ) and a cheese flavor sensory language (
      • Drake M.A.
      • McIngvale S.C.
      • Gerard P.D.
      • Cadwallader K.R.
      • Civille G.V.
      Development of a descriptive language for cheddar cheese.
      ) (Table 2). A trained descriptive sensory panel (n = 14) with over 150 h of experience each with descriptive analysis of cheese flavor evaluated the cheeses. Consistent with Spectrum™ descriptive analysis training, panelists were presented with reference solutions of sweet, sour, salty, and bitter tastes to learn to consistently use the universal intensity scale (Meilgaard et al., 1999;
      • Drake M.A.
      • Civille G.V.
      Flavor lexicons.
      ). Following consistent use of the Spectrum™ scale with basic tastes, panelists learned to identify and scale flavor descriptors using the same intensity scale through presentation and discussion of flavor definitions, references (Table 2) and a wide array of cheeses. Discussion and evaluation of a wide array of cheeses (Cheddar and other cheeses) was also conducted during training to enable panelists to consistently differentiate and replicate samples. Analysis of data collected from training sessions confirmed that panel results were consistent and that terms were not redundant, consistent with previous use of the developed language (
      • Drake M.A.
      • McIngvale S.C.
      • Gerard P.D.
      • Cadwallader K.R.
      • Civille G.V.
      Development of a descriptive language for cheddar cheese.
      ). Cheeses were evaluated monadically in triplicate in a randomized balanced block design. Evaluations were conducted individually in an enclosed room dedicated to sensory analysis and free from external aromas, noise, and distractions. Panelists were instructed to expectorate samples after evaluation. Spring water was available to each panelist for palate cleansing.
      Table 2Sensory language used for descriptive analysis of Cheddar cheeses.
      Taken from Drake et al., 2001.
      TermDefinitionReference
      Cooked/milkyAromatics associated with cooked milkPasteurized skim milk heated to 85°C for 30 min.
      WheyAromatics associated with Cheddar cheese wheyFresh Cheddar whey
      DiacetylAromatic associated with diacetylDiacetyl, 20 ppm
      Milk fat/lactoneAromatics associated with milk fatFresh coconut meat, heavy cream, δ dodecalactone, 40 ppm
      FruityAromatics associated with different fruitsFresh pineapple, ethyl hexanoate, 40 ppm
      SulfurAromatics associated with sulfurous compoundsBoiled egg, H2S bubbled through water, freshly struck match
      Free fatty acidAromatics associated with short chain fatty acidsButyric acid, 20 parts per thousand
      BrothyAromatics associated with boiled meat or vegetable soup stockCanned potatoes, Wyler's low sodium beef broth cubes, methional, 20 ppm
      NuttyThe sweet roasted aromatic associated with various nutsLightly toasted unsalted nuts, wheat germ, unsalted Wheat Thins, roasted peanut oil extract
      CattyAroma associated with tom-cat urine2 Mercapto-2 methyl-pentan-4 one, 20 ppm
      Sour
      Reference taken from Meilgaard at al., 1999.
      Fundamental taste sensation elicited by acidsCitric acid (0.08% in water)
      Salty
      Reference taken from Meilgaard at al., 1999.
      Fundamental taste sensation elicited by saltsSodium chloride (0.5% in water)
      Sweet
      Reference taken from Meilgaard at al., 1999.
      Fundamental taste sensation elicited by sugarsSucrose (5% in water)
      Bitter
      Reference taken from Meilgaard at al., 1999.
      Fundamental taste sensation elicited by caffeine or quinineCaffeine (0.08% in water)
      Umami
      Reference taken from Meilgaard at al., 1999.
      Chemical feeling factor elicited by certain peptides and nucleotidesMSG (1% in water)
      1 Taken from
      • Drake M.A.
      • McIngvale S.C.
      • Gerard P.D.
      • Cadwallader K.R.
      • Civille G.V.
      Development of a descriptive language for cheddar cheese.
      .
      2 Reference taken from Meilgaard at al., 1999.

      Consumer Evaluation

      Consumer evaluation was conducted within 2 wk of the descriptive analysis of the cheeses. Cheeses were evaluated in two demographic locations: North Carolina and Oregon. Cheeses were sliced into 5-kg blocks, vacuum-sealed, and mailed by overnight carrier on ice gel packs to Oregon State University (OSU). Consumer testing was conducted at the OSU Sensory Center and at the NCSU Sensory Center in sensory booths. Testing at both sites was coordinated and conducted simultaneously. At OSU, consumers were recruited by e-mail from a database of over 1000 members of the Corvallis, OR, community. At NCSU, consumers were recruited from the university students, staff, and faculty through e-mails and fliers.
      Testing procedure was identical at each site. The Cheddar cheeses (n = 7) were tested across 2 d at each site using a constant control cheese presented each day. A constant control cheese was presented along with 3 cheeses each day (4 cheeses evaluated each day) to reduce the sample testing bias that could be associated with testing across 2 d. The constant control cheese that was presented both days was selected from descriptive analysis results based on its moderate flavor intensities. Cheeses were cut into 1-inch cubes and dispensed into 4-oz. soufflé cups with lids numbered with 3-digit codes. The cheeses were served at 10°C. Consumers (n = 100 at each location) were provided with consent forms consistent with NCSU Human Subjects approval, screener forms, and a scoring ballot. Cheeses were presented individually in a randomized balanced order (following presentation of the constant control cheese). A screener form was designed for collecting demographic information and evaluating consumer decisions for cheese and/or cheese products. The ballot was used to evaluate consumer evaluations of cheese for: overall acceptance, overall color liking, overall flavor liking, overall texture liking, and the intensity of overall Cheddar cheese flavor and overall aged cheese flavor using a 9-point hedonic scale where 1 = dislike extremely or low intensity and 9 = like extremely or high intensity. Consumers were provided with spring water and unsalted crackers for palate cleansing. Consumers were provided with gift certificates (Oregon) or food treats (North Carolina) for their participation.

      Statistical Analysis

      Univariate and multivariate statistical methods were used in analyzing the results. Descriptive and consumer data were analyzed individually and then together. Analysis of variance with means separation and PCA was used to analyze the descriptive data (SAS, version 8.2, Cary, NC). Chi-squared tests (PROC FREQ) were conducted to compare consumer demographic data from each location (SAS, version 8.2, Cary, NC). Frequency histograms of consumer results were created and investigated for each attribute to determine whether bimodal distributions occurred. Analysis of variance with means separation was then conducted. Correlation analysis was conducted on descriptive and consumer data individually and together to determine linear relationships. Possible nonlinear relationships between consumer attributes and cheese attribute intensities were visually assessed using scatterplots.
      Internal preference mapping was conducted on consumer means using SAS (version 8.2, Cary, NC) (PROC PRINQUAL) and treatment mean scores were plotted on the resulting principal component eigenvectors. External preference mapping was conducted on the descriptive data and the consumer acceptance scores using SPSS (v 10, Chicago, IL) and Sensetools (OP&P Product Research, Utrecht, The Netherlands). Briefly, consumer acceptability scores were segmented using PCA followed by cluster analysis. Clusters were confirmed using discriminant analysis. Generalized procrustes analysis (GPA) was then used to relate consumer clusters and descriptive data. Characteristics of each cluster were determined by analysis of variance of acceptance scores within each cluster and examining the external preference map.

      Results and Discussion

      Descriptive Analysis

      Descriptive analysis results showed distinguishing flavor differences between the Cheddar cheeses (Table 3) (Figure 1). The Spectrum™ descriptive analysis technique utilizes a universal intensity scale for descriptor scaling (Meilgaard et al., 1999;
      • Drake M.A.
      • Civille G.V.
      Flavor lexicons.
      ). By this method, panelists score intensities in the same manner across all attributes and all products. Because the scale is universal in nature, attribute intensities for many dairy products, including cheese, fall primarily between 0 and 7, with most attributes between 0 and 4 (
      • Drake M.A.
      • McIngvale S.C.
      • Gerard P.D.
      • Cadwallader K.R.
      • Civille G.V.
      Development of a descriptive language for cheddar cheese.
      ,
      • Drake M.A.
      • Gerard P.D.
      • Wright S.
      • Cadwallader K.R.
      • Civille G.V.
      Cross validation of a sensory language for Cheddar cheese.
      ). The advantages to this descriptive analysis technique are that one panel can be readily trained on multiple products because one intensity scale is used, different types of products can be directly compared, and panel scaling is less prone to drift with time (
      • Drake M.A.
      • Civille G.V.
      Flavor lexicons.
      ).
      Table 3Descriptive attribute means (n = 14) for the Cheddar cheeses.
      Intensities scored on a 15-point Universal Spectrum™ intensity scale where 0 = none and 15 = very. For cheese descriptions, see Table 1.
      CheeseTrt 1Trt 2Trt 3Trt 4Trt 5Trt 6Trt 7
      Cooked2.7
      Means in a row followed by different letters represent significant differences (P<0.05).
      2.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      2.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      1.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.8
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.8
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.6
      Means in a row followed by different letters represent significant differences (P<0.05).
      Whey2.9
      Means in a row followed by different letters represent significant differences (P<0.05).
      3.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      3.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.6
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      Diacetyl2.4
      Means in a row followed by different letters represent significant differences (P<0.05).
      1.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      1.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.4
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.1
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      Milkfat/lactone2.8
      Means in a row followed by different letters represent significant differences (P<0.05).
      2.4
      Means in a row followed by different letters represent significant differences (P<0.05).
      2.1
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.8
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.7
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.4d
      Fruity0.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.4
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.3
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.4
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      Sulfur0.1d0.4
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      3.1
      Means in a row followed by different letters represent significant differences (P<0.05).
      2.6
      Means in a row followed by different letters represent significant differences (P<0.05).
      2.7
      Means in a row followed by different letters represent significant differences (P<0.05).
      3.4
      Means in a row followed by different letters represent significant differences (P<0.05).
      Free fatty acid0.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.3
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.7
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.4
      Means in a row followed by different letters represent significant differences (P<0.05).
      Brothy0.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.7
      Means in a row followed by different letters represent significant differences (P<0.05).
      2.6
      Means in a row followed by different letters represent significant differences (P<0.05).
      4.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      2.4
      Means in a row followed by different letters represent significant differences (P<0.05).
      2.7
      Means in a row followed by different letters represent significant differences (P<0.05).
      Nutty0.0d0.2d0.1d1.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      1.3
      Means in a row followed by different letters represent significant differences (P<0.05).
      2.4
      Means in a row followed by different letters represent significant differences (P<0.05).
      1.9
      Means in a row followed by different letters represent significant differences (P<0.05).
      Catty0.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      1.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      1.1
      Means in a row followed by different letters represent significant differences (P<0.05).
      Sweet1.7
      Means in a row followed by different letters represent significant differences (P<0.05).
      1.6
      Means in a row followed by different letters represent significant differences (P<0.05).
      1.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      2.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      1.6
      Means in a row followed by different letters represent significant differences (P<0.05).
      1.8
      Means in a row followed by different letters represent significant differences (P<0.05).
      1.3
      Means in a row followed by different letters represent significant differences (P<0.05).
      Sour2.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      3.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      3.3
      Means in a row followed by different letters represent significant differences (P<0.05).
      3.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      2.9
      Means in a row followed by different letters represent significant differences (P<0.05).
      3.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      3.3
      Means in a row followed by different letters represent significant differences (P<0.05).
      Salty2.7
      Means in a row followed by different letters represent significant differences (P<0.05).
      2.9
      Means in a row followed by different letters represent significant differences (P<0.05).
      3.1
      Means in a row followed by different letters represent significant differences (P<0.05).
      3.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      3.1
      Means in a row followed by different letters represent significant differences (P<0.05).
      3.6
      Means in a row followed by different letters represent significant differences (P<0.05).
      3.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      Bitter0.1d0.1d0.2d0.4
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.9
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      1.6
      Means in a row followed by different letters represent significant differences (P<0.05).
      Umami0.1
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.8
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.9
      Means in a row followed by different letters represent significant differences (P<0.05).
      1.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      0.8
      Means in a row followed by different letters represent significant differences (P<0.05).
      a,b,c,d Means in a row followed by different letters represent significant differences (P < 0.05).
      1 Intensities scored on a 15-point Universal Spectrum™ intensity scale where 0 = none and 15 = very. For cheese descriptions, see Table 1.
      Figure thumbnail gr1
      Figure 1Principal component biplot of descriptive analysis of Cheddar cheeses.
      Some Cheddar cheeses (treatments 1, 2, 3) were characterized by the attributes “cooked/milky,” “whey,” “diacetyl,” and “milkfat/lactone.” These four attributes were previously classified as “young/undeveloped” by
      • Drake M.A.
      • McIngvale S.C.
      • Gerard P.D.
      • Cadwallader K.R.
      • Civille G.V.
      Development of a descriptive language for cheddar cheese.
      due to their prevalence in Cheddar cheeses less than 1 yr old. The cheeses in the present study that were characterized by these flavors were also less than 1 yr old. The Cheddar cheeses that were older than 1 yr were primarily characterized by the attributes “sulfur,” “brothy,” and “nutty” (treatments 4, 5, 6, 7) “Free fatty acid” and “catty” flavors were also detected in many of these more aged Cheddar cheeses. As previously reported (
      • Drake M.A.
      • McIngvale S.C.
      • Gerard P.D.
      • Cadwallader K.R.
      • Civille G.V.
      Development of a descriptive language for cheddar cheese.
      ), with increased cheese maturity, aged/developed flavors (sulfur, brothy, free fatty acid, nutty, and catty flavor attributes) become more prevalent as does the variety of Cheddar cheese flavors. Correlation analysis (Table 4) revealed positive correlations between the aged Cheddar cheese flavor attributes (“fruity,” “free fatty acid,” “sulfur,” “brothy,” and “nutty”) and the basic tastes (“sour” and “salty” and “salty” and “umami”). The basic taste “umami” was also positively correlated with the aged flavor attributes (“fruity,” “free fatty acid,” “sulfur,” “brothy,” “nutty,” and “catty”) and negatively correlated with “cooked/milky,” “whey,” “diacetyl,” and “milkfat/lactone.” Young Cheddar cheese flavor attributes (“cooked/milky,” “whey,” “diacetyl,” and “milkfat/lactone”) were negatively correlated with the mature Cheddar cheese flavor attributes. These relationships have been previously noted with Cheddar cheeses (
      • Drake M.A.
      • McIngvale S.C.
      • Gerard P.D.
      • Cadwallader K.R.
      • Civille G.V.
      Development of a descriptive language for cheddar cheese.
      ,
      • Drake M.A.
      • Gerard P.D.
      • Kleinhenz J.P.
      • Harper W.J.
      Application of an electronic nose to correlate with descriptive sensory analysis of Cheddar cheese.
      ).
      Table 4Correlations between descriptive sensory attributes used to profile Cheddar cheeses.
      Numbers in bold represent significant correlations (P<0.01).
      SampleCookedWheyDiacetylMilk fatFruitySulfurFFABrothyNuttyCattySourBitterSaltySweetUmami
      Cooked1.000.990.970.990.890.990.870.940.930.91−0.400.75−0.68−0.050.97
      Whey1.000.940.970.910.980.900.930.940.89−0.34−0.71−0.69−0.140.98
      Diacetyl1.000.980.850.950.840.910.910.84−0.60−0.700.760.020.96
      Milk fat1.000.860.970.840.950.910.87−0.490.75−0.710.010.96
      Fruity1.000.880.940.830.890.730.330.360.760.490.94
      Sulfur1.000.870.900.920.950.420.730.670.040.94
      Free Fatty Acid1.000.720.970.750.460.440.870.390.93
      Brothy1.000.780.780.280.680.530.060.92
      Nutty1.000.810.520.630.860.170.95
      Catty1.000.310.760.49−0.100.80
      Sour1.000.300.75−0.260.45
      Bitter1.000.32−0.560.62
      Salty1.000.270.79
      Sweet1.000.21
      Umami1.00
      1 Numbers in bold represent significant correlations (P < 0.01).

      Consumer Evaluation

      The consumer groups from the two locations differed in gender profile, segmentations by age, and types of cheese consumed (P < 0.05) (Table 5). In contrast, cheese consumption habits and factors that influenced cheese choice/purchase were not different (P > 0.05).
      Table 5Demographic information and consumption characteristics of cheese consumers.
      Location 1 (NCSU)
      NCSU = North Carolina State University.
      n = 101
      Location 2 (OSU)
      OSU = Oregon State University.
      n = 110
      Gender
      Indicates differences between the 2 locations (P<0 .05).
      (% males/females)
      43/5737/63
      Age group
      Indicates differences between the 2 locations (P<0 .05).
      0% ≤ 18 y1% ≤ 18 y
      38% 19–25 y20% 19–25 y
      30% 26–35 y30% 26–35 y
      18% 36–45 y18% 36–45 y
      10% 46–55 y24% 46–55 y
      4% > 56 y7% > 56 y
      Shop for household
      Indicates differences between the 2 locations (P<0 .05).
      (% yes/no)
      93/7100/0
      Cheese consumption0% never0% never
      5% once per mo4% once per mo
      18% 2–4 times per mo15% 2–4 times per mo
      77% > once per wk81% > once per wk
      Cheese types consumed
      Indicates differences between the 2 locations (P<0 .05).
      ,
      Consumers were allowed to choose more than one category so category percentages do not add up to 100.
      67% Processed cheeses23% Processed cheeses
      89% Mild cheeses92% Mild cheeses
      75% Aged/strong flavored cheeses89% Aged/strong flavored cheeses
      Factors influencing choice of cheese67% Price68% Price
      97% Flavor99% Flavor
      46% Texture49% Texture
      28% Health31% Health
      40% Availability38% Availability
      * Indicates differences between the 2 locations (P < 0 .05).
      1 NCSU = North Carolina State University.
      2 OSU = Oregon State University.
      3 Consumers were allowed to choose more than one category so category percentages do not add up to 100.
      Consumer acceptability responses for the cheeses between the two locations were not different by analysis of variance (P > 0.05). There were no differences in overall acceptance for the control cheese across the 2 d of testing for both locations (P > 0.05). Because consumer results across all attributes were consistent for the constant control cheese across the 2 d of testing for both locations (P > 0.05), consumer data across the 2 d were pooled. The consumer mean scores across both locations are featured in Table 6. Figures 2 and 3 are internal preference maps of the NCSU and OSU consumer data, respectively. The similarity between the two figures confirms the overall lack of differences noted between the two sites for the univariate analysis results.
      Table 6Combined NCSU
      NCSU = North Carolina State University.
      and OSU
      OSU = Oregon State University.
      consumer attribute means (n = 211) for the Cheddar cheeses. (Consumer acceptability or perceived intensity scored on a 9-point hedonic scale where 1 = dislike extremely or low intensity and 9 = like extremely or high intensity.)
      CheeseTrt 1
      For cheese description, see Table 1.
      Trt 2Trt 3Trt 4Trt 5Trt 6Trt 7
      Overall acceptance5.7
      Means in a row followed by different letters represent significant differences (P<0.05).
      7.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      5.6
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.1
      Means in a row followed by different letters represent significant differences (P<0.05).
      5.7
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.3
      Means in a row followed by different letters represent significant differences (P<0.05).
      Overall color liking6.4
      Means in a row followed by different letters represent significant differences (P<0.05).
      7.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.6
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.7
      Means in a row followed by different letters represent significant differences (P<0.05).
      7.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      7.1
      Means in a row followed by different letters represent significant differences (P<0.05).
      7.1
      Means in a row followed by different letters represent significant differences (P<0.05).
      Overall flavor liking5.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      7.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      5.3
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.1
      Means in a row followed by different letters represent significant differences (P<0.05).
      5.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.3
      Means in a row followed by different letters represent significant differences (P<0.05).
      Overall texture liking6.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      7.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.3
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.7
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.6
      Means in a row followed by different letters represent significant differences (P<0.05).
      Overall cheddar cheese intensity4.1
      Means in a row followed by different letters represent significant differences (P<0.05).
      7.0
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.3
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.3
      Means in a row followed by different letters represent significant differences (P<0.05).
      5.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.9
      Means in a row followed by different letters represent significant differences (P<0.05).
      Overall aged cheese intensity4.1
      Means in a row followed by different letters represent significant differences (P<0.05).
      5.9
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.7
      Means in a row followed by different letters represent significant differences (P<0.05).
      7.2
      Means in a row followed by different letters represent significant differences (P<0.05).
      4.6
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      6.5
      Means in a row followed by different letters represent significant differences (P<0.05).
      a,b,c,d Means in a row followed by different letters represent significant differences (P < 0.05).
      1 NCSU = North Carolina State University.
      2 OSU = Oregon State University.
      3 For cheese description, see Table 1.
      Figure thumbnail gr2
      Figure 2Internal preference map of perception of Cheddar cheese acceptability and attributes from consumers at Oregon State University (n = 111).
      Figure thumbnail gr3
      Figure 3Internal preference map of perception of Cheddar cheese acceptability and attributes from consumers at North Carolina State University (n = 101).
      The constant control cheese (treatment 3) received the highest consumer scores across all liking attributes (P < 0.05). This Cheddar cheese was initially chosen as the control in the consumer experimental design due to its primarily young/undeveloped or mild flavor profile. Treatments 4, 5, 6, and 7 were characterized by descriptive analysis as exhibiting aged, mature cheese flavors, and these cheeses had the highest consumer scores for overall aged cheese intensity (P < 0.05). These results indicate that consumers can distinguish “young” and “aged” cheese flavors and that these concepts are consistent with descriptive sensory analysis. That is, young cheese flavors encompass cooked/milky, whey, diacetyl, and milkfat/lactone flavors, whereas aged cheese flavor comprises flavors including sulfur, brothy, nutty, fruity, and catty. Both young and mature cheeses were perceived by consumers as exhibiting intense Cheddar cheese flavors. Treatments 3 and 6 received the highest scores for Cheddar cheese flavor intensity. These cheeses were quite diverse in flavor character by descriptive analysis (Table 3). Cheese 3 was characterized by young flavors, whereas cheese 6 exhibited sulfur, nutty, and brothy flavors.
      Several linear relationships among consumer and consumer/descriptive results were determined. Strong relationships were observed between “overall acceptance” and “overall flavor liking” (r = 0.99), “overall acceptance” and “overall texture liking” (r = 0.93), “overall flavor liking” and “overall texture liking” (r = 0.92), and “overall aged cheese intensity” and “overall cheddar cheese intensity” (r = 0.90) (Table 7). The consumer/descriptive correlations (data not shown) showed minimal linear relationships. Negative relationships were observed between “whey” flavor and “overall aged cheese intensity” (r = −0.92) and “diacetyl” and “overall aged cheese intensity” (r = −0.94), suggesting that consumers do associate these flavors with young cheeses. Scatterplot matrices were created to visually determine any nonlinear relationships existing between the consumer and descriptive/consumer attributes. No nonlinear relationships were observed (data not shown).
      Table 7Correlations between consumer perceptions of cheese attributes.
      Numbers in bold represent significant correlations (P<0.01).
      Overall acceptanceOverall color likingOverall flavor likingOverall texture likingOverall cheddar cheese intensityOverall aged cheese intensity
      Overall acceptance1.000.670.990.930.490.18
      Overall color liking1.000.620.730.690.38
      Overall flavor liking1.000.920.380.05
      Overall texture liking1.000.340.01
      Overall cheddar cheese intensity1.000.90
      Overall aged cheese intensity1.00
      1 Numbers in bold represent significant correlations (P < 0.01).
      Because consumer results indicated that both young flavored and aged flavored Cheddar cheese were associated with high Cheddar cheese flavor intensity (Table 6) this suggests, not surprisingly, that the Cheddar cheese flavor concept varies among consumers. Cheese 1, which was 1 mo old, was characterized by descriptive analysis as exhibiting young flavors (cooked/milky, whey, milk fat/lactone, diacetyl) and low sour and salty tastes. This cheese also received the lowest consumer scores for Cheddar cheese flavor intensity, which also suggests that while the Cheddar flavor concept may vary among consumers, it does not encompass Cheddar cheeses with extremely young and mild flavors.
      • Dacremont C.
      • Vickers Z.
      Classification of cheeses according to their closeness to the Cheddar cheese concept.
      used the R-index method to evaluate the Cheddar cheese concept with 17 consumers and Cheddar and non-Cheddar cheeses. In general, consumers distinguished between Cheddar and non-Cheddar cheeses. Both aged and young Cheddar cheeses were used in their study also, although descriptive analysis was not conducted.
      • Dacremont C.
      • Vickers Z.
      Concept matching technique for assessing importance of volatile compounds for Cheddar cheese aroma.
      used analysis of variance and the R-index method to evaluate the impact of individual volatile compounds on the Cheddar cheese aroma concept using 16 subjects who consumed Cheddar cheese regularly. Several Cheddar cheese extract mixtures were compared to several Cheddar and non-Cheddar cheeses. There were some relationships observed between the mixtures and the Cheddar cheese concept. Again, traditional descriptive analysis techniques were not used.
      Subtle differences in consumer likes and dislikes may be missed by analysis of variance where overall means from a number of consumers are generated and compared. For this reason, external preference mapping was conducted to determine whether there were distinct segments of Cheddar cheese consumers within the populations polled. The GPA and cluster analysis revealed six distinct clusters or segments of consumers (Figures 4 and 5). Six distinct consumer segments is a large number considering there were only 7 cheeses in the study. However, the 7 cheeses were carefully screened and selected to exhibit distinct and diverse flavor profiles. Due to the diverse nature of the Cheddar cheeses, it is not surprising that 6 distinct consumer segments were identified. The overall preferred cheese for consumers in segment 1 was a cheese characterized primarily by young flavors (cooked/milky, diacetyl, milk fat/lactone, whey) but with low intensities of sulfur and brothy flavors (treatment 2). These individuals liked young flavored cheeses (cooked/milky, diacetyl, milk fat/lactone, whey) but also liked nutty flavor and bitter taste in aged cheeses. Consumers in segment 2 liked the same cheeses as consumers in segment 1 but exhibited equal liking intensities for those cheeses with no outstanding preference. Consumers in segment 3 preferred young and brothy flavored cheeses. Consumers in segment 4 liked all cheeses except cheese 1, which was characterized by young flavors and a low intensity of sour taste. Consumers in segment 5 were characterized by their dislike of young-flavored cheeses. Consumers in segment 6 did not like brothy cheeses but did like other aged flavors including nutty and fruity flavors and sweet tastes.
      Figure thumbnail gr4
      Figure 4External preference map of combined consumer data (Oregon State University and North Carolina State University) with descriptive analysis results. Consumer segments are identified.
      Figure thumbnail gr5
      Figure 5External preference map of combined consumer data (Oregon State University and North Carolina State University) with descriptive analysis results. Consumer segments are identified.
      There were differences in the numbers of consumers within each segment at the two locations (Figure 6). These differences were primarily located in segments 2 and 6. Both of these segments were consumers that liked young and aged flavored cheeses, but they differed in specific likes/dislikes of cheese flavor. North Carolina consumers liked young and aged flavored cheeses, whereas Oregon consumers were more specific in terms of cheese flavor profiles they liked and preferred. For example, consumers in segment 2 liked cheeses 6 and 7, both characterized by aged flavors, equally, whereas consumers in segment 6 preferred cheese 6 over cheese 7. According to their different preferences for cheese flavor, there were differences in how each segment scored acceptability of the Cheddar cheeses (Figure 7). These differences in preferences among the different consumer segments indicate that Cheddar cheeses with specific flavor profiles could be marketed to specific target market segments.
      Figure thumbnail gr6
      Figure 6Consumer segment compositions at North Carolina State University (n = 101) and Oregon State University (n = 110).
      Figure thumbnail gr7
      Figure 7Overall acceptability scores for cheeses within different consumer segments. Acceptability was scored on a 9-point hedonic scale where 1 = dislike extremely and 9 = like extremely.
      Previous research has addressed cheese flavor and consumer testing methods, particularly Cheddar cheese.
      • Piggott J.R.
      • Mowat R.G.
      Sensory aspects of maturation of cheddar cheese by descriptive analysis.
      evaluated Cheddar cheeses using descriptive analysis techniques, in which the cheeses varied in age/maturity. Descriptive analysis identified the differences in the cheeses according to age and showed that maturation (age) dictated cheese flavor strength, aftertaste, and mouthfeel characteristics (
      • Piggott J.R.
      • Mowat R.G.
      Sensory aspects of maturation of cheddar cheese by descriptive analysis.
      ).
      • McEwan J.A.
      • Moore J.D.
      • Colwill J.S.
      The sensory characteristics of Cheddar cheese and their relationship with acceptability.
      used free-choice profiling and conventional methods to evaluate seven Cheddar cheese varieties. Their results indicated differences in matured cheese profiles, with results varying in flavor and texture profiles.
      • Drake M.A.
      • McIngvale S.C.
      • Gerard P.D.
      • Cadwallader K.R.
      • Civille G.V.
      Development of a descriptive language for cheddar cheese.
      confirmed these observations in their development of a referenced descriptive language for Cheddar cheese flavor.
      • Lawlor J.B.
      • Delahunty C.M.
      The sensory profile and consumer preference for ten specialty cheeses.
      determined consumer preferences for 10 specialty Irish cheeses using external preference mapping and cluster analysis. The results indicated diverse flavor differences among the different cheese varieties. Seven distinct consumer clusters were identified and related to their respective cheese sensory profiles. Wide consumer preferences would be expected among different types of cheeses.
      • Murray J.M.
      • Delahunty C.M.
      Consumer preference for Irish farmhouse and factory cheeses.
      conducted preference mapping with factory and farmstead Cheddar-type cheeses. Again, a wide variety was observed in descriptive flavor profiles of cheeses and in distinct consumer preference clusters. Consumer perception of “age” and “Cheddar flavor” were not evaluated. Our study indicates a wide variability in cheese preferences within one specific type of cheese: Cheddar cheese.

      Conclusions

      Descriptive analysis and consumer evaluation showed distinctive flavor profiles for all Cheddar cheeses and their relationship with acceptability. The concept of “Cheddar cheese” flavor varied widely among consumers, but consumers distinguished aged cheeses from young cheeses. These significant relationships illustrate that Cheddar cheese acceptance is related to maturity level and flavor characteristics and varies widely among consumers with specific segments preferring specific Cheddar flavor profiles.

      Acknowledgments

      This study was funded in part by Dairy Management, Inc., the California Dairy Research Foundation, and the North Carolina Agriculture Experiment Station. Paper number 03-45 of the North Carolina Experiment Station, North Carolina State University. The use of trade names in the publication does not imply endorsement by these organizations nor criticism of ones not mentioned.

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