FTIR结合统计分析对竹类植物的鉴别分类研究

傅里叶变换红外光谱结合主成分分析和系统聚类分析用于竹类植物鉴别分类研究。六种竹亚科植物54个竹子叶片的红外光谱测试结果显示竹叶光谱主要由蛋白质、碳水化合物、脂类等吸收带组成, 竹叶光谱相似, 仅在1 800～700 cm-1范围峰数、峰位、峰强上存在较小的差异。六种竹子叶片红外光谱的二阶导数谱在1 800～700 cm-1范围显示明显差异。用1 800～700 cm-1范围二阶导数光谱进行主成分分析, 在主成分PC1, PC2, PC3三维空间图中, 所测试竹叶样本分类正确率达98%; 在PC3-PC4二维投影图显示所有竹叶样本正确分成六个区域; 用1 800～700 cm-1范围二阶导数光谱进行聚类分析, 所测竹叶样本正确聚为六类。表明FTIR结合统计分析能够在种水平对竹亚科植物鉴别分类。

Abstract

Fourier transform infrared (FTIR) spectroscopy combined with principal component analysis (PCA) and hierarchical cluster analysis (HCA) were used to identify and classify bamboo leaves. FTIR spectra of fifty-four bamboo leaf samples belonging to six species were obtained. The results showed that the infrared spectra of bamboo leaves were similar, and mainly composed of the bands of polysaccharides, protein and lipids. The original spectra exhibit minor differences in the region of 1 800~700cm-1. The second derivative spectra show apparent differences in the same region. Principal component analysis and hierarchical cluster analysis were performed on the second derivative infrared spectra in the range from 1 800 to 700 cm-1. The leaf samples were separated into 6 groups with accuracy of 98% with the first three principal components, and with 100% accuracy according to the third and fourth principal components. Hierarchical cluster analysis can correctly cluster the bamboo leaf samples. It is proved that Fourier transform infrared spectroscopy combined with PCA and HCA could be used to discriminate bamboo at species level with only a tiny leaf sample.

参考文献

[1] JIANG Ze-hui(江泽慧). World Bamboo and Rattan(世界竹藤). Shenyang: Liaoning Science and Technology Press(沈阳: 辽宁科学技术出版社), 2002.

[2] GENG Bo-jie(耿伯介). Flora of China, Vol. 9(中国植物志·第九卷). Beijing: Science Press(北京: 科学出版社), 1996.

[3] YI Tong-pei, JIANG Xue-li(易同培, 蒋学礼). Journal of Sichuan Forestry Science and Technology(四川林业科技), 2010, 31(4): 1.

[4] ZHANG Zhi-yong, WANG Qiang, FU Qiang, et al(张智勇, 王强, 付强, 等). Journal of Beijing Forestry University(北京林业大学学报), 2012, 34(6): 42.

[5] LI Yue-feng(李悦丰). Hunan Agricultural Science(湖南农业科学), 2009, (2): 37.

[6] LIN Xin-chun, FANG Wei(林新春, 方伟). Journal of Bamboo Research(竹子研究汇刊), 2005, 24(1): 1.

[7] LI Xiu-lan, LIN Ru-shun, FENG Xue-lin, et al(李秀兰, 林汝顺, 冯学琳, 等). Journal of Systematics and Evolution(植物分类学报), 2001, 39 (5): 433.

[8] TANG Li, LIU You-quan, ZHONG Qiu-ping(唐丽, 刘友全, 钟秋平). Journal of Central South Forestry University(中南林业科技大学学报), 2008, 28(3): 55.

[9] RUAN Xiao-sai, LIN Xin-chun, LOU Yong-feng, et al(阮晓赛, 林新春, 娄永峰, 等). Journal of Zhejiang Forestry Science and Technology(浙江林业科技), 2008, 28(2): 29.

[10] LI Zhi-yong, LIU Gang, LI Lun, et al(李志永, 刘刚, 李伦, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2012, 32(5): 1217.

[11] SUN Suqin, ZHOU Qun, CHEN Jianbo. Infrared Spectroscopy for Complex Mixtures: Applications in Food and Traditional Chinese Medicine. Beijing: Chemistry Industry Press, 2011. 67.

[12] She Jinbo, Lü Hongfei, Peng Qiufa, et al. Journal of Systematics and Evolution, 2008, 46(2): 194.

[13] LUO Bi-rong, LIU Gang, SHI You-ming, et al(罗庇荣, 刘刚, 时有明, 等). Infrared Technology(红外技术), 2009, 31(1): 39.

[14] Gorgulu S T, Dogan M, Severcan F. Applied Spectroscopy, 2007, 61(3): 300.

[15] DU Fu-you, ZHANG Xiao-yu, WANG Hong-xun, et al(杜甫佑, 张晓昱, 王宏勋, 等). Journal of Cellulose Science and Technology(纤维素科学与技术), 2005, 13(1): 17.

李伦, 刘刚, 张川云, 欧全宏, 张黎, 赵兴祥. FTIR结合统计分析对竹类植物的鉴别分类研究[J]. 光谱学与光谱分析, 2013, 33(12): 3221. LI Lun, LIU Gang, ZHANG Chuan-yun, OU Quan-hong, ZHANG Li, ZHAO Xing-xiang. Discrimination of Bamboo Using FTIR Spectroscopy and Statistical Analysis[J]. Spectroscopy and Spectral Analysis, 2013, 33(12): 3221.

FTIR结合统计分析对竹类植物的鉴别分类研究

关于本站 Cookie 的使用提示

全站搜索

FTIR结合统计分析对竹类植物的鉴别分类研究

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索