Estimating Polysaccharide Content with Hyperspectral in Dendrobium Officinale
ZHANG Yin-tao1, GE Hong-li1*, SUN Zhen1, ZOU Hong-yu2
1. Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, Zhejiang Agriculture and Forestry University, Lin’an 311300, China 2. Tianmu College of Zhejiang Agriculture and Forestry University, Lin’an 311300, China
Abstract：The objectives in the present paper were to study the relationship between the polysaccharide content and the spectrum, aimed at finding a non destructive testing method for the measurement of polysaccharide content. Materials in this study were from tissue culture seedlings under different treatments and domesticated plants in different growth stages. In the study, 36 samples were used to build estimation models and another 11 as test samples to examine the models. The relationship between the spectrum and polysaccharide content was investigated by partial least squares regression (PLSR) and factor analysis. The results show that (1) there was stronger correlation between derivative reflectance and polysaccharide content, and the sensitive wavebands mainly concentrated in the visible region. (2) The PLSR model has a high precision, while its prediction accuracy is lower. The models of factor analysis have higher prediction accuracy, the RPD of the model based on spectral reflectance is 2.269 and that of derivative reflectance is 2.305.
[1] Wang Guangyuan, Xu Zhihong, Chia Tet-Fatt, et al. Science in China (Series C), 1997, 40(1): 35. [2] Luo Aoxue, He Xingjin, Zhou Songdong, et al. Carbohydrate Polymers, 2010, 79: 1014. [3] Wang Junhui, Luo Jianping, Zha Xueqiang, et al. Carbohydrate Polymers, 2010, 79: 114. [4] Ng T B, Liu Jingyi, Wong J H, et al. Appl. Microbiol. Biotechnol., 2012, 93: 1795. [5] FU Wei-li, HUANG Zuo-xi, TANG Zheng-yi, et al(付伟丽, 黄作喜, 唐正义, 等). Journal of Neijiang Normal University(内江师范学院学报), 2010, 26(4): 40. [6] HE Tie-guang, SU Jiang, WANG Can-qin, et al(何铁光, 苏 江, 王灿琴, 等). Guangxi Agricultural Sciences(广西农业科学), 2007, 38(1): 32. [7] ZHU Yan, SI Jin-ping, GUO Bao-lin, et al(诸 燕, 斯金平, 郭宝林, 等). China Journal of Chinese Materia Medica(中国中药杂志), 2010, 35(4): 427. [8] XU Xiao-fei, CHEN Jian(徐晓飞, 陈 健). Food Science(食品科学), 2009, 30(21): 443. [9] Baiano A, Terracone C, Peri G, et al. Computers and Electronics in Agriculture, 2012, 87: 142. [10] Thenkabail P S, Enclona E A, Ashton M S, et al. Remote Sensing of Environment, 2004, 91: 354. [11] LI Man-fei, XU Guo-jun，PINGTIAN Yi-zheng, et al(李满飞, 徐国钧, 平田义正, 等). Chinese Traditional and Herbal Drugs(中草药), 1990, 21(10): 442. [12] WANG Yuan-yuan, CHEN Yun-hao, LI Jing, et al(王圆圆, 陈云浩, 李 京, 等). Remote Sensing for Land & Resources(国土资源遥感), 2007, 1: 57. [13] LIN Min, DU Guang-nian, LIU Zhi-bin(林 敏, 杜光年, 刘志斌). Mathematics in Practice and Theory(数学的实践与认识), 2008, 38(9): 72. [14] ZHANG Juan-juan, TIAN Yong-chao, ZHU Yan, et al(张娟娟，田永超，朱 艳, 等). Scientia Agricultura Sinica(中国农业科学), 2009, 42(9): 3151. [15] Chang C W, Laird D A. Soil Science, 2002, 167(2): 110.
