Correlation Between Visual Assessment and CR 10-14 Color Measurement Devices in Turkish Salmon Fillets
Abstract
To reduce human errors in color evaluations that may lead to commercial issues, enterprises use color scales and measurement devices. This study presents a comparative evaluation of color measurements made using the SalmoFanTM color scale and the Konica Minolta CR 10 and CR14 Chroma Meter devices. As a result of the study, strong positive/negative correlations were found between the Ea, Eb, and EC values and the color scale values in all color scales, except for 22 color scales. The study also revealed that the non-homogeneous structure of salmon fillet color is a significant barrier in correlating the obtained data.
Keywords
References
- Alçiçek, Z., & Balaban, M.Ö. 2012. Development and application of “The Two Image” method for accurate object recognition and color analysis. Journal of Food Engineering, 111, 46-51. DOI: 10.1016/j.jfoodeng.2012.01.031
- Cai, L., Wu, X., Li, X., Zhong, K., Li, Y., & Li, J. (2014). Effects of different freezing treatments on physicochemical responses and microbial characteristics of Japanese sea bass (Lateolabrax japonicas) fillets during refrigerated storage. LWT–Food Science and Technology, 59, 122-129. DOI: 10.1016/j.lwt.2014.04.062
- Choubert, G., Blanc, J-M., & Vallde, F. (1997). Colour measurement, using the CIELCH colour space, of muscle of rainbow trout, Oncorhunchus mykiss (Walbaum), fed astaxanthin:effects of family, ploidy, sex, and location of reading. Aquaculture Research, 28, 15-22.
- Choubert, G., & Baccaunaud, M. (2006). Colour changes of fillets of rainbow trout (Oncorhynchus mykiss W.) fed astaxanthin or canthaxanthin during storage under controlled or modified atmosphere. LWT, 39, 1203-1213.
- Choi, J., Peters, M., & Mueller, R.O. (2010). Correlation analysis of ordinal data: from Pearson’s r to Bayesian polycoric correlation. Asia Pacific Educ. Rev., 11, 459-466.
- Cheng, J-H., Sun, D-W., Zeng, X-A., & Liu, D. (2015). Recent advances in methods and techniques for freshness quality determination and evaluation of fish and fish fillets: A review. Critical Reviews in Food Science and Nutrition, 55(7), 1012-1225. DOI: 10.1080/10408398.2013.769934
- Gümüş, B., Balaban, M.Ö., & Ünlüsayın, M. (2011). Machine vision applications to aquatic foods: A review. Turkish Journal of Fisheries and Aquatic Sciences, 11, 171-181. DOI: 10.4194/trjfas.2011.0124
- Hassoun, A., & Karoui, R. (2017). Quality evaluation of fish and other seafood by traditional and nondestructive instrumental methods: Advantages and limitations. Critical Reviews in Food Science and Nutrition, 57(9), 1976-1998. DOI: 10.1080/10408398.2015.1047926
- Keskin, M., Setlek, P., & Demir, S. (2017). Use of Color Measurement Systems in Food Science and Agriculture. Internetional Advanced Research & Engineering Congress Proceeding Book, 16-18 November, Osmaniye/Türkiye, 2350-2359 p.
- Leon, A.P., Vina, S.Z., Frezza, D., Chaves, A., & Chiesa, A. (2007). Estimation of Chlorophyll Contents by Correlations between SPAD-502 Meter and Chroma Meter in Butterhead Lettuce. Communications in Soil Science and Plant Analysis, 38, 2877-2885. DOI: 10.1080/0010362070163115
