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Journal of Dairy Science
Volume 90, Issue 3
, Pages
1122-1132
, March 2007
Evaluating Mid-infrared Spectroscopy as a New Technique for Predicting Sensory Texture Attributes of Processed Cheese
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Linear regression plots of actual vs. predicted sensory attributes of (A) firmness, (B) rubbery, (C) creamy, (D) chewy, (E) mouth-coating, (F) fragmentable, (G) melting, and (H) mass-forming. RER = ra
Linear regression plots of actual vs. predicted sensory attributes of (A) firmness, (B) rubbery, (C) creamy, (D) chewy, (E) mouth-coating, (F) fragmentable, (G) melting, and (H) mass-forming. RER = range error ratio.
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Loading plots for partial least squares models of the sensory attributes of (A) firmness, (B) rubbery, (C) creamy, (D) chewy, (E) mouth-coating, (F) fragmentable (G) melting, and (H) mass-forming.Loading plots for partial least squares models of the sensory attributes of (A) firmness, (B) rubbery, (C) creamy, (D) chewy, (E) mouth-coating, (F) fragmentable (G) melting, and (H) mass-forming.
PII: S0022-0302(07)71598-9
doi: 10.3168/jds.S0022-0302(07)71598-9
© 2007 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.
« Previous
Next »
Journal of Dairy Science
Volume 90, Issue 3
, Pages
1122-1132
, March 2007
