| 光谱学与光谱分析 |
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| Study on Two Different Aromas Styles of Tobacco from Guizhou by Characteristics Spectroscopic Methods |
| RAN Xia1, MU Lan1*, LIU Ren-xiang1, CONG Hang1, ZHANG Qing-min2, WANG Fang2 |
1. The Key Laboratory of Tobacco Quality Guizhou Province, Guizhou University, Guiyang 550025, China
2. Tobacco Industry Co. Ltd., of Guizhou Province, Guiyang 550001, China |
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Abstract This paper made use of three-dimensional fluorescence and ultraviolet-absorption spectrum to analyze the spectral characteristics of etroleum ether extract from Guizhou flue-cured tobacco and the overall characteristic spectral information of tobacco chemical substances were obtained. The three dimensional fluorescence and ultraviolet-visible absorption spectrum of each petroleum ether extract of flue-cured tobacco from different areas are generally similar, but their intensity is different. There have three characteristic peaks in three dimensional fluorescence spectra: Ⅰ: Ex/Em=297/326 nm, Ⅱ: Ex/Em=250/330 nm, Ⅲ: Ex/Em=225/336 nm respectively and meanwhile the order of these peaks intensity is Ⅰ>Ⅲ>Ⅱ. The ultraviolet-visible absorption spectrum in 300～300 nm range presents four characteristic absorption peaks, whose maximum absorption wavelength are 329, 419, 445 and 419 nm respectively. Meanwhile, in accord with the relative intensity of characteristic peaks, it is known that there exist differences in the relative contents of the total chemical substances obtained from different flavor styles of the flue-cured tobacco. The clustering analysis results of three-dimensional fluorescence intensity score (D) and intensity ratio (R) show that in a certain range of distance coefficient, the flue-cured tobacco from different regions in Guizhou can be clearly divided into two classes “mildly sweet ”and “alcohol sweet ”. The classification can be well achieved in the smaller distance coefficient according to the ratio cluster of fluorescence intensity instead of the score cluster of fluorescence intensity. The method of three-dimensional fluorescence was better than that of ultraviolet-visible spectrometry in the matter of the clustering characteristic.
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Received: 2013-05-29
Accepted: 2013-08-08
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Corresponding Authors:
MU Lan
E-mail: sci.lmou@gzu.edu.cn
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[1] LI Zhang-hai, WANG Neng-ru, WANG Dong-sheng, et al. Journal of Anhui Agri. Sci.(安徽农业科学), 2009, 37(5): 2055.
[2] MU Biao, YANG Jian-song, LI Ming-hai. Chinese Journal of Eco-Agriculture(中国生态农业学报), 2003, 11(4): 148.
[3] LI Zhang-hai, WANG Neng-ru, WANG Dong-sheng, et al. Tobacoo Science & Technlogy(烟草科技), 2009, 30(5): 67.
[4] CHEN Wei-dong, LI Zhi-yong, LI Ji-xin, et al. Guizhou Tobacco BBS Development Strategy(贵州烟叶发展战略论坛). Guiyang: 2010, 112.
[5] YANG Mei-lin, LI Ji-xin, PAN wen-jie, et al. Journal of Anhui Agri. Sci.(安徽农业科学), 2011, 39(6): 3672.
[6] QIN Song, WANG Zheng-yin, SHI Jun-xiong. Scientia Agricultura Sinica(中国农业科学), 2006, 39(11): 2319.
[7] WANG Rui-xin(王瑞新). Tobacco Chemistry(烟草化学). Beijing: China Agriculture Press(北京: 中国农业出版社), 2003. 170.
[8] YAN Ke-yu(闫克玉). Tobacco Chemistry(烟草化学). Zhengzhou: Zhengzhou University Press(郑州: 郑州大学出版社), 2002. 23.
[9] ZHENG Yi-xin, CHENG Xin-sheng, ZHENG Geng-wu, et al. Analytical Instrument(分析仪器), 2005, (2): 35.
[10] YONG Ke-lan, Lü Jing-ci. Chemical Research and Application(化学研究与应用), 1998, 10(5): 495.
[11] Lü Hong-gang, ZHANG Xi-hui, GONG Chun-yimg, et al. China Environmental Science(中国环境科学), 2005, 25(5): 581.
[12] CAO Jia-jia, XU Yong-quan, CHEN Xiao-kang, et al. Journal of Analytical Sci.(分析科学学报), 2010, 26(4): 415.
[13] LI Yan-qiang, ZHAO Min-yue, HUANG Wei-dong, et al. Tobacoo Science&Technlogy(烟草科技), 2003, 192(7): 3.
[14] LI Hong-li, ZHAO Peng-xian, YANG Jun, et al. Acta Tabacaria Sinica(中国烟草学报), 2009, 15(4): 19. |
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