光谱学与光谱分析 |
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Visible/NIR Analysis of Fat, Protein and Water in Chilled Pork |
LIU Kui-wu, CHENG Fang*,LIN Hong-jian, SUN Tong, XU Kai, HU Lei-xiu, YING Yi-bin, XU Hui-rong |
College of Biosystem Engineering and Food Science, Zhejiang University, Hangzhou 310029, China |
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Abstract Fat, protein and water were determined by visible and NIR transmittance spectroscopy in chilled pork. After preprocessed by multiplicative scatter correction (MSC), the quantitative analysis models were developed based on the original, first derivative and second derivative spectra by using partial least squares (PLS) at the temperatures of 0-4 ℃ and 20 ℃, respectively. By comparing the correlation coefficient (r), RMSEC, and SEP, we found that the first derivative model was the best, and the performance for 0-4 ℃ was better than that for 20 ℃. At 0-4 ℃ and 20 ℃, the correlation coefficients were 0.950 and 0.924 for fat, 0.713 and 0.455 for protein and 0.944 and 0.914 for water respectively, SEP values were 2.41 and 2.95 for fat, 5.44 and 4.25 for protein, and 2.37 and 2.38 for water respectively. The results showed that the visible and NIR analysis could measure the fat and water contents in chilled pork well, but was bad for protein, and this was caused by processing line of chilled pork. What’s more, the spectrum offset was found in the original spectra at about 770 nm to be about 10 nm.
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Received: 2007-09-08
Accepted: 2007-12-18
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Corresponding Authors:
CHENG Fang
E-mail: fcheng@zju.edu.cn
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[1] WANG Duo-jia, ZHOU Xiang-yang, JIN Tong-ming, et al(王多加,周向阳,金同铭,等). Spectroscopy and Spectral Analysis(光谱学与学谱分析), 2004, 24(4): 447. [2] XU Hui-rong, YING Yi-bin(徐惠荣,应义斌). Journal of Zhejiang University(Agriculture & Life Sciences)(浙江大学学报·农业与生命科学版), 2002, 28(4): 460. [3] HOU Rui-feng, HUANG Lan, WANG Zhong-yi, et al(侯瑞锋,黄 岚,王忠义,等). Spectroscopy and Spectral Analysis(光谱与光谱分析). 2006, 26(12): 2193. [4] NIU Zhi-you, HAN Lu-jia, SU Xiao-ou, et al(牛智有,韩鲁佳,苏晓鸥,等). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报), 2006, 37(8): 126. [5] Geesinka G H, Schreutelkamp F H, Frankhuizen R, et al. Meat Science, 2003, 65: 661. [6] Inmaculada G M, Claudio G P, Jesús H M, et al. Analytica Chimica Acta, 2002, 453: 281. [7] Lanza E. Journal of Food Science, 1983, 48(2): 471. [8] Tùgersen G, Isaksson T, et al. Meat Science, 1999, 51: 97. [9] Chan D E, Walker P N, Mills E W. Transactions of the American Society of Agricultural Engineers(ASAE), 2002, 45(5): 1519. [10] LIU Wei, YU Xiang-lin, SUN Dong-dong, et al(刘 炜,俞湘麟,孙东东,等). Swine Production(养猪), 2005, (3): 47. [11] YAN Yan-lu, ZHAO Long-lian, HAN Dong-hai, et al(严衍禄,赵龙莲,韩东海,等). Basic and Application of Near-Infrared Spectral Analysis(近红外光谱分析基础与应用). Beijing: China Light Industry Press(北京:中国轻工业出版社), 2005. 132.
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