Literature DB >> 29878230

Rapid Communication: Effect of machine, anatomical location, and replication on instrumental color of boneless pork loins.

Kayla E Barkley1, Brandon Fields2, Anna C Dilger1, Dustin D Boler1.   

Abstract

The objective was to determine the effect of machine, anatomical location, and replication (multiple readings) on instrumental color and to characterize the amount of variation each factor contributed to overall color. Instrumental color was measured three times on the anterior and three times on the posterior end of 250 pork loins with two different Minolta CR-400 Chroma meter devices. Each Minolta was programed to use a D65 illuminant, 2° observer with an 8 mm aperture, and calibrated with white tiles specific to each machine. Therefore, a total of 12 instrumental color measurements were collected on each loin. The VARCOMP procedure in SAS was used to estimate the proportion of variation contributed by each factor to CIE L*, a*, b*, chroma, and hue. Based on previous research, the average untrained consumer is able to distinguish between 3-L* units, 0.4-a* units, and 0.9-hue angle units. Loins evaluated with machine 1 were 0.71 L* units darker (P < 0.01), 1.09 b* units more yellow (P < 0.01), 0.47 chroma units more saturated (P < 0.01), and had a hue angle 5.12 units greater (P < 0.01) than when evaluated with machine 2 but did not differ (P = 0.24) in redness. The anterior portion of the loin was lighter, less red, more yellow, more saturated and had a greater hue angle than the posterior end (P < 0.01). All color trait values decreased (P < 0.01) as replication number increased. Inherent color differences among loins contributed the greatest proportion of variability for lightness (58%), redness (57%), yellowness (70%), saturation (70%), and hue angle (49%). Machine contributed 1% variability to lightness 3% to saturation, 23% to yellowness, and 31% to hue angle (31%) but did not contribute to variability for redness. Anatomical location contributed 41% to lightness, 43% to redness, 7% to yellowness, 27% to saturation, and 31% to hue angle. Replication did not contribute to total variation for any color traits, even though it did differ among measurements. Overall, there were differences in instrumental color values between the two machines tested, but those differences were likely less than the threshold for detection by a consumer. Even so, inherent color differences between loins were a greater contributor to total variability than the differences between the two machines. Therefore, it is more important to define the location of measurements than replication or machine when using a Minolta CR-400 when performing color evaluations, assuming the settings are the same.

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Year:  2018        PMID: 29878230      PMCID: PMC6095277          DOI: 10.1093/jas/sky223

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  6 in total

1.  Current research in meat color.

Authors:  R A Mancini; M C Hunt
Journal:  Meat Sci       Date:  2005-09       Impact factor: 5.209

2.  Measuring pork color: effects of bloom time, muscle, pH and relationship to instrumental parameters.

Authors:  M S Brewer; L G Zhu; B Bidner; D J Meisinger; F K McKeith
Journal:  Meat Sci       Date:  2001-02       Impact factor: 5.209

3.  Prediction of color and pH measurement throughout boneless center-cut pork loins.

Authors:  J L Norman; E P Berg; M R Ellersieck; C L Lorenzen
Journal:  Meat Sci       Date:  2004-02       Impact factor: 5.209

4.  Variation of the sensory quality within the m. longissimus thoracis et lumborum of PSE and normal pork.

Authors:  M J Van Oeckel; N Warnants
Journal:  Meat Sci       Date:  2003-03       Impact factor: 5.209

5.  Evaluation of pork colour: prediction of visual sensory quality of meat from instrumental and computer vision methods of colour analysis.

Authors:  M G O'Sullivan; D V Byrne; H Martens; L H Gidskehaug; H J Andersen; M Martens
Journal:  Meat Sci       Date:  2003-10       Impact factor: 5.209

6.  How is the instrumental color of meat measured?

Authors:  W N Tapp; J W S Yancey; J K Apple
Journal:  Meat Sci       Date:  2010-11-27       Impact factor: 5.209

  6 in total
  1 in total

1.  Improvement of Intramuscular Fat in longissimus Muscle of Finishing Thai Crossbred Black Pigs by Perilla Cake Supplementation in a Low-Lysine Diet.

Authors:  Korawan Sringarm; Niraporn Chaiwang; Watcharapong Wattanakul; Prapas Mahinchai; Apinya Satsook; Rakkiat Norkeaw; Mintra Seel-Audom; Tossapol Moonmanee; Supamit Mekchay; Sarana Rose Sommano; Warintorn Ruksiriwanich; Pornchai Rachtanapun; Kittisak Jantanasakulwong; Chaiwat Arjin
Journal:  Foods       Date:  2022-03-22
  1 in total

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