光谱学与光谱分析 |
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Prediction Analysis of Soluble Solids Content and Moisture in Honey by Near Infrared Spectroscopy |
LI Shui-fang1, ZHANG Xin2, SHAN Yang2*,LI Zhong-hai1 |
1. Central South University of Forestry & Technology, Changsha 410004, China 2. Hunan Center for Food Detection and Analysis, Changsha 410025, China |
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Abstract A new method for the analysis of soluble solids content (SSC) in honey by near infrared spectroscopy (NIR) was developed, and moisture was also analyzed. The partial least square regression models of SSC and moisture were built for different pretreatments of the raw spectra in different spectral range. Good predictions were always obtained for all models. The best models of SSC and moisture were obtained by using Norris (3,2) smoothing + first derivative + multiplicative signal correction in total spectral range. The coefficient of determination (R2CV) and root mean square error of cross validation (RMSECV), the coefficient of determination (R2p) and root mean square error of validation sets(RMSEP) were 0.998 6, 0.190, 0.998 5 and 0.127 respectively for SSC, while for moisture they were 0.998 4, 0.187, 0.998 6 and 0.125 respectively. NIR could be used to analyze SSC and moisture in honey. The result of this article was better than that of related documents for moisture.
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Received: 2009-12-06
Accepted: 2010-03-08
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Corresponding Authors:
SHAN Yang
E-mail: sy6302@sohu.com
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[1] HOU Rui-li(侯瑞丽). Shenyang Agricultural University(沈阳农业大学),2007, 14: 32. [2] Salim O,Hayette L,Paul S. Food Control,2007,18(1): 52. [3] LI Zi-jian,GUAN Chun-hua,LI Xiao-dong,et al(李子健,管春华,李晓栋,等). GB 18796—2005 (honey). [4] Meagher L P,Holroyd S E,Illingworth D,et al. J. Agric. Food Chem.,2007,55(8):2791. [5] Bureau S,Ruiz D,Reich M,et al. Food Chemistry,2009,113(4):1323. [6] Niu Xiao-ying,Shen Fei,Yu Yan-fei,et al. J. Agric. Food Chem.,2008,56(16):7271. [7] Liu Fei,He Yong,Wang Li,et al. J. Food Engineering,2007,83:430. [8] ZHANG Jian-xin,LI Hui(张建新,李 慧). Food and Fermentation Industries(食品与发酵工业),2008,34(1):124. [9] García-Alvarez M,Ceresuela S,Huidobro J F,et al. J. Agric. Food Chem.,2002,50(13):419. [10] CHEN Lan-zhen,XUE Xiao-feng,ZHONG Yan-ping,et al(陈兰珍,薛晓锋,钟艳萍,等). Food Science(食品科学),2009,30(8):147. [11] García-Alvarez M,Huidobro J F,Hermida M,et al. J. Agric. Food Chem.,2000,48(11):5154. [12] Cozzolino D,Corbella E. J. Apicultural Research,2003,42(1-2):16. [13] Ruoff K,Luginbuhl W,Bogdanov S,et al. Eur. Food Res. Techol.,2007,225:415. [14] LU Wan-zhen, YUAN Hong-fu, XU Guang-tong, et al(陆婉珍,袁洪福,徐广通,等). Modern Near Infrared Spectroscopy Analytical Technology(现代近红外光谱分析技术). Beijing:China Petrochemical Press(北京:中国石化出版社), 2007. 35. |
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