光谱学与光谱分析 |
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Quality Analysis of Chinese Bacon with Near Infrared Spectroscopy |
ZHAO Li-li1,ZHANG Lu-da2,SONG Zhong-xiang3,LI Yong4,YAN Yan-lu5, MA Chang-wei1* |
1. College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China 2. College of Science, China Agricultural University, Beijing 100094, China 3. Tang Ren Shen Group, Zhuzhou 412002, China 4. Institute of Agro-Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100094, China 5. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China |
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Abstract The feasibility of fast and correctly detecting the quality of Chinese bacon by NIR was studied. The acid value (AV) can reflect the quality of Chinese bacon during processing and storage which is prescribed in the Chinese national standard methods definitely. The fat is abundant in Chinese bacon, so the AV index is important for the quality of Bacon. Samples were scanned on the Bruker FTNIR reflected spectra instrument after being ground. The preprocess method of Additional Scattered Correction was used for the mathematic model of AV and moisture content of Chinese Bacon by PLS. The correlation ratio and the RMSCV of AV and moisture content of the prediction set were 0.98, 0.25, 0.90 and 0.02 respectively. The results showed that NIR spectroscopy analysis technology can be used for fast detecting AV and moisture content of Chinese Bacon.
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Received: 2005-12-06
Accepted: 2006-03-18
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Corresponding Authors:
MA Chang-wei
E-mail: zhaolili_china@163.com
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Cite this article: |
ZHAO Li-li,ZHANG Lu-da,SONG Zhong-xiang, et al. Quality Analysis of Chinese Bacon with Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(01): 46-49.
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URL: |
https://www.gpxygpfx.com/EN/Y2007/V27/I01/46 |
[1] YAN Yan-lu, ZHAO Long-lian, ZHANG Lu-da(严衍禄, 赵龙莲, 张录达). Near Infrared Spectroscopy’s Foundation and Application(近红外光谱分析基础及应用). Beijing: China Light Industry Press(北京:中国轻工业出版社),2005. [2] 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(光谱学与光谱分析),2004, 24(4):447. [3] TU Kang(屠 康). Journal of Northwest Science and Technology University of Agriculture and Forestry(Natural Science Edition)(西北农林科技大学学报·自然科学版),2005,33(1):25. [4] ZHU Xun-tao(朱迅涛). Meat Research(肉类研究),2002, (2): 42. [5] Ripoche A, Guillard A S. Meat Science, 2001, 58: 299. [6] Sante C V S. Meat Science, 1996, 43(3-4): 283. [7] Folch J, Lees M, Sloane-Standley G R. J. Biol. Chem., 1957, 226: 497. [8] CHU Xiao-li, YUAN Hong-fu, LU Wan-zhen(褚小立,袁洪福,陆婉珍). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005, 25(6):886.
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