光谱学与光谱分析 |
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Study on Fast Discrimination of Brands of Soy Sauce Using Near Infrared Spectra |
TONG Xiao-xing,BAO Yi-dan*,HE Yong |
College of Biosystems Engineering and Food Science,Zhejiang University,Hangzhou 310029,China |
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Abstract A new method for the fast discrimination of brands of soy sauce by means of near infrared spectroscopy (NIRS) was developed and these eight kinds of soy sauce had got its “identity card”. The experiment adopted typical eight brands of soy sauce which we bought in the market. Total 3 942 frequencies from 7 625 to 3 684 cm-1 transmit wavelength were gotten to set up a analyses model. In order to handle these data efficiently,after pretreatment,firstly,principal component analysis (PCA) was used to compress thousands of spectral data into several variables and to describe the body of the spectra,the analysis suggested that the cumulate reliabilities of the first eight components was more than 99.99%. According to the first eight components,the authors could distinguish some brand of the soy sauce but could not deal with all of them. So the authors chose ANN-BP as further research method. The eight components were secondly applied as ANN-BP inputs. The experiment took total 242 examples of 8 kinds of soy sauce as original model examples and left 10 every kind as unknown samples to predict. Finally,the result indicated the distinguishing rate is 98.75% in 0.98 reliable area. This paper could offer a new method to the discrimination of varieties of soy sauce.
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Received: 2006-11-16
Accepted: 2007-02-18
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Corresponding Authors:
BAO Yi-dan
E-mail: ydbao@zju.edu.cn
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[1] YU Li-yan,FANG Ru-ming,CHEN Bin(于丽燕,方如明,陈 斌). Food Science and Technology(食品科技),2001,(1):9. [2] SHEN Long-qing(沈龙青). China Condiment(中国调味品),2006,4(4):49. [3] YU Wei,YONG Ke-lan(俞 蔚,雍克岚). Food Science(食品科学),2003,24(11): 105. [4] WANG Si-hong,YIN Qi-fan,FAN Yan-ling,et al(王思宏,尹起范,范艳玲,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2004,24(8): 957. [5] HE Yong,LI Xiao-li,SHAO Yong-ni(何 勇,李晓丽,邵咏妮). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2006,26(5):850. [6] HE Yong,FENG Shui-juan,LI Xiao-li,et al(何 勇,冯水娟,李晓丽,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2006,26(11):2021. [7] LI Xiao-li,HU Xing-yue,HE Yong(李晓丽,胡兴越,何 勇). Chinese Journal of Infrared and Millimeter Waves (红外与毫米波学报),2006,25(6):417. [8] 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 of Agricultural Machinery(农业机械学报),2006,37(8):126. [9] DUAN Min-xiao,FAN Hong-wei,WANG Yuan-dong,et al (段民孝,范弘伟,王元东,等). Journal of Maize Sciences(玉米科学),2006,14(3):60;65. [10] Xing Juan,De Baerdemaeker Josse. Postharvest Biology and Technology,2007,45(2): 176. [11] DOU Yan-li,ZHANG Wan-xi,ZHANG Yu-jie,et al(窦艳丽,张万喜,张玉杰,等). Chinese Journal of Analytical Chemistry(分析化学),2006,34(11):1615. [12] WU Li-jun,YOU Yu-sheng,FENG Dian-ying,et al(吴立军,尤瑜生,冯典英,等). Engineering Plastics Application(工程塑料应用),2006,34(10):52. [13] Gilbert Tod,Krstic Vladimir D,Zak Gene. Journal of Materials Processing Technology,2007,189(1-3):409. [14] WANG Song-de,HAN Yun-xia,ZHU Xiao-long,et al(王松德,韩运侠,朱小龙,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(7):1061. [15] HOU Xin-lin,ZHOU Cong-le,LI Zhi-guang,et al(侯新琳,周丛乐,李志光,等). The Journal of Clinical Pediatrics(临床儿科杂志),2006,24(11):884. [16] WANG Gang-li,SHI Yan,WEI Yu-hai,et al(王钢力,石 岩,魏玉海,等). Chinese Traditional and Herbal Drugs(中草药),2006,37(10):1569. [17] Skibsted E T S,Boelens H F M,Westerhuis J A,et al. Journal of Pharmaceutical and Biomedical Analysis,2006,41(1):26. [18] Woo Young-Ah,Lim Hun-Rang,Kim Hyo-Jin,et al. Journal of Pharmaceutical and Biomedical Analysis,2003,33(5):1049. [19] XIE Hong-ping,XU Nai-yu,LI Yi-lin,et al (谢洪平,徐乃玉,李一林,等). Chinese Journal of Hospital Pharmacy(中国医院药学杂志),2006,26(10):1194. [20] QU Hai-bin,YE Ying-ya,CHENG Yi-yu(瞿海斌,叶颖雅,程翼宇). Chinese Journal of Pharmaceutical Analysis(药物分析杂志),2006,26(10):1413. [21] YAN Yan-lu,ZHAO Long-lian,HAN Dong-hai,et al(严衍禄,赵龙莲,韩东海,等). Foundation and Application of NIR 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. 101. |
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