光谱学与光谱分析 |
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FTIR Study on the Leaf Spots, Near-Spot and Normal Tobacco Leaves |
REN Xian-pei1, LIU Gang1*, ZHOU Zai-jin1, LIU Fei1, LI Zhi-yong1, SONG Li-li2 |
1. Department of Physics, Yunnan Normal University, Kunming 650092, China 2. Tobacco Company Ltd, Wenshan Branch, Wenshan 663000,China |
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Abstract Fourier transform infrared spectroscopy (FTIR) was used to study three group tobacco leaves of brown spot, angular spot and weather speck, with each group being composed of three samples, namely, leaf spots, near-spot and normal tobacco leaves. The results indicate that the absorption ratio A1 631/A1 025 of the three group tobacco leaves showed the same change tendency, with the normal tobacco leaves<the near-spot leaves<the leaf spots. For a more objective and comprehensive analysis, the original and second-derivative spectra were selected for distance analysis in the whole region. The results show that the Pearson correlation coefficient of the near-spot leaves and normal leaves is greater than the corresponding coefficient of leaf spots and normal leaves, which suggest that the near-spot leaves and normal leaves have a closer relationship compared with the leaf spots and normal leaves. The ratios of the A1 631/A1 025 and Pearson correlation coefficients show that the chemical composition of the near-spot leaves changed gradually, that is, the near-spot leaves were in a transient state between normal and disease leaves. In conclusion, FTIR spectroscopy is a promising technique for diagnosing tobacco disease in the incubation period.
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Received: 2009-12-12
Accepted: 2010-03-16
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Corresponding Authors:
LIU Gang
E-mail: gliu66@163.com
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[1] YANG Jian-qing, JIANG Tong, CHENG He-yuan(杨建卿, 江 彤, 承河元). Tobacco Pathology(烟草病理学). Hefei: University of Science and Technology of China Press(合肥: 中国科学技术大学出版社), 2003. 155. [2] LIU Da-qun, DONG Jin-gao(刘大群,董金皋). Introduction to Plant Pathology(植物病理学导论). Beijing: Science Press(北京: 科学出版社), 2007. 168. [3] FENG Jie, LIAO Ning-fang, ZHAO Bo, et al(冯 洁,廖宁放, 赵 波, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2009,29(2):463. [4] CHEN Bing, WANG Ke-ru, LI Shao-kun, et al(陈 兵,王克如,李少昆, 等). Xinjiang Agricultural Sciences(新疆农业科学), 2007, 44(6): 740. [5] Gorgulu Sevgi Turker, Dogan Musa, Severcan Feride. Applied Spectroscopy, 2007, 61(3): 300. [6] Kamnev Alexander A, Colina Marinela, Rodriguez Jose, et al. Food Hydrocolloids, 1998, 12(3): 263. [7] Sebnem G, Faruk B, Feride S. Applied Spectroscopy, 2007, 61(2): 186. [8] XIE Jing-xi, CHANG Jun-biao, WANG Xu-ming(谢晶曦, 常俊标, 王绪明). Application of Infrared Spectrum in Organic Chemistry and Pharmaceutical Chemistry(红外光谱在有机化学和药物化学中的应用). Beijing: Science Press(北京: 科学出版社), 2001. 77. [9] ZHANG Wen-bo, CHEN Hong-yan(章文波,陈红艳). Useful Data for Statistical Analysis and the Application of SPSS 12.0(使用数据统计分析及SPSS12.0应用). Beijing: Post of Telecom Press(北京: 人民邮电出版社), 2006. 139.
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