光谱学与光谱分析 |
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Near Infrared Reflectance Spectroscopy (NIRS) and Its Application in the Determination for the Quality of Animal Feed and Products |
WANG Li1,2,MENG Qing-xiang1, REN Li-ping1*,YANG Jian-song1 |
1. National Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China 2. College of Science, China Agricultural University, Beijing 100193, China |
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Abstract Near-infrared reflectance spectroscopy (NIRS) has been the most rapidly developing and noticeable spectrographic analytical technique in recent years. The determining principle and progresses of near-infrared reflectance spectroscopy are presented briefly. It mainly includes the progresses in pre-processing technique and analyzing model of near-infrared reflectance spectroscopy. Two pre-processing techniques, including differential coefficient-dealt with technique, the signal-smoothing technique, and four analyzing models of near-infrared spectroscopy, including the multiplied lined regression (MLR), principal component analysis (PCA), partial least squares (PLS), and artificial nerve network (ANN). The application of near-infrared reflectance spectroscopy to the first time. The investigation of reviewed papers shows that the near- infrared reflectance spectroscopy is widely applied in feed analysis and animal products analysis because of its rapidness, non-destruction and non-pollution. The near infrared reflectance spectroscopy has been used to determine the feed common ingredient, such as dry matter, crude protein, crude fiber, crude fat and so on, micro-components including amino acid,vitamin, and noxious components, and to determine the physical and chemical properties of animal products which including egg, mutton, beef and pork. Details of the analytical characteristics of feed and animal products described in the reviewed papers are given. New trends and limits to the application of near-infrared reflectance spectroscopy in these fields are also discussed.
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Received: 2009-01-06
Accepted: 2009-04-08
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Corresponding Authors:
REN Li-ping
E-mail: renlp@cau.edu.cn
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[1] McClure W Fred. Analytical Chemistry, 1994, 66(1): 43A. [2] LU Wan-zhen(陆婉珍). Modern Scientific Instruments(现代科学仪器), 2006, (5):5. [3] JIANG Ze-hui, FEI Ben-hua, YANG Zhong(江泽慧, 费本华, 杨 忠). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(3): 435. [4] PENG Yu-hua(彭玉华). Wavelet Transform and Application in Engineering(小波变换及其在工程中应用). Beijing: Science Press(北京:科学出版社), 1999. 115. [5] Whitfield R G, Gerger M K, Sharp R L. Applied Spectroscopy, 1987, 41(7): 1204. [6] SHAO Xue-guang, CHEN Da(邵学广, 陈 达). Near Infrared Spectroscopy in Modern China(当代中国近红外光谱技术). Proceeding of the 1st Chinese Conference on Near Infrared Spectroscopy(全国第一届近红外光谱会议论文集), 2006. 250. [7] TANG Chang-bo, CHEN Min-yan, PENG Yu-kui, et al(唐长波, 陈敏艳, 彭玉魁, 等). Academic Periodical of Farm Products Processing(农产品加工(学刊)), 2007, (3):52. [8] YUAN Da-lin, LIANG Yi-zeng(袁大林, 梁逸曾). Chemometrics Studies for NIR Spectroscopic Analysis(近红外建模中的化学计量学方法研究). Proceeding of the 1st Chinese Conference on Near Infrared Spectroscopy(全国第一届近红外光谱会议论文集), 2006. 45. [9] LUAN Feng(栾 锋). Application of Support Vector Machines (SVM) and Radial Basis Function Neural Networks (RBFNN) in Chemistry, Environmental Chemistry and Medicinal Chemistry(支持向量机(SVM)和径向基神经网络(RBFNN)方法在化学、环境化学和药物化学中的应用研究). Lanzhou University(兰州大学), 2006. [10] DING Li-min, JI Cheng(丁丽敏, 计 成). Chinese Journal of Animal Nutrition(动物营养学报), 1999, 11(3): 12. [11] The Animal Institute of Chinese Agricultural Academy(中国农业科学院畜牧研究所编). Analytical Technology of Near Infrared Spectroscopy(近红外光谱分析技术). Beijing: China Agricultural Science and Technology Press(北京:中国农业科技出版社),1993. 23. [12] Williams P C, Norris K H, Sobering D C. Agric. Food Chem., 1985, 33: 239. [13] FENG Ping, ZHANG Zi-yi(冯 平, 张子仪). Chinese Journal of Animal Science(中国畜牧杂志), 1986,(2): 10. [14] Norris K H. Multivariate Analysis of Raw Material. In: Schmilt L W, ed. Chemistry and World Food Supplies. Manila: Reihold Publisher, 1984. 155. [15] Jackson D Al. Proc. Aust. Poult. Sci. Sym., 1996,(8): 46. [16] LIU Qiang, MENG Qing-xiang, BAI Qi-lin, et al(刘 强, 孟庆翔, 白琪林, 等). Chinese Journal of Animal Science(中国畜牧杂志), 2005, 41(11): 39. [17] Reeves J B, Blosser T H. Journal of Dairy Sci., 1989, 72(4): 79. [18] Nordheim H, Volden H. Animal Feed Science and Technology, 2007, 139(1-2): 92. [19] González-Martín I, Hernández-Hierro J, Bustamante-Rangel M, et al. Analytical and Bio-analytical Chemistry,2006, 386(5): 1553. [20] Cozzolino D, Labandera M. Journal of the Scinence of Food and Agriculture,2002, 82(5): 380. [21] LU Li-jun, ZHUANG Shu-hua, LI Ai-jun, et al(卢利军, 庄树华, 李爱军, 等). Journal of Molecular Science(分子科学学报),2001, 17(2): 115. [22] Kempen T Van, Bodin J C. Animal Feed Science and Technology, 1998, 76(1-2): 139. [23] SU Cai-zhu(苏彩珠). A Study on Fishmeal and Meat & Bone Meal Components Inspection by Near Infrared Quickly(鱼粉和肉骨粉近红外多成分快速检测研究). Jinan University(暨南大学), 2002. [24] Biston R, Dardennea P, Cwikowskib M, et al. JAOCS, 1988, 65(10): 1599. [25] Parrish A L. Journal of the American Oil Chemists’ Society, 1990, 67(5): 1324. [26] Birth G S, Ramet J H. Cereal Chemistry, 1992, 59(6): 516. [27] WEI Rui-lan, ZHANG Zi-yi, WU Xiu-qin(魏瑞兰, 张子仪, 吴秀琴). Chinese Journal of Animal Science(中国畜牧杂志), 1987, (6): 3. [28] Liu Yongliang, Lyon Brenda G, Windham William R. Meat Science,2003, 65: 1107. [29] Downey G, Beauchene D. Meat Science,1997, 45(3): 353. [30] Prieto N, Andre′s S. Meat Science,2006, 74: 487. [31] Moreno T, Varela A, Oliete B, et al. Meat Science,2006, 73: 209. [32] Realini C E, Duckett S K, Windham W R. Meat Science,2004, 68: 35. [33] Shackelford S D, Wheeler T L, Koohmaraie M. Meat Science,2005, 69: 409. [34] Abeni F, Bergoglio G. Meat Sience,2001, 57: 133. [35] Geesink G H, Schreutelkamp F H,Frankhuizen R, et al. Meat Science,2003, 65: 661. [36] Hoving-Bolink A H, Vedder H W, Merks J W M, et al. Meat Science,2005, 69: 417. [37] Gonza′ lez-Marti′n I, Gonza′ lez-Pe′ rez C, Herna′ndez-Me′ndez J, et al. Meat Science, 2003, 65: 713. [38] Cozzolino D, Barlocco N,Vadell A, et al. Lebensmittel Wissenschaft and Technol.,2003, 36: 195. [39] André’s S, Murray I. Meat Science,2007, 76: 509. [40] Viljoen M, Hoffman L C, Brand T S. Small Ruminant Research,2007, 69: 88. [41] Viljoen M, Hoffman L C. Meat Science,2005, 69: 255. [42] Downey G, Beauchene D. Food Chemistry, 1996, 55(3): 305. [43] HAN Dong-hai, LU Chao, LIU Yi(韩东海, 鲁 超, 刘 毅). Dairy Guide(中国乳业导刊), 2006, (4): 39. [44] WANG Li-jie, XU Ke-xin, GUO Jian-ying(王丽杰, 徐可欣, 郭建英). Jounal of Optoelectronics·Laser(光电子·激光), 2004, 15(4): 468.
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