| 红外光谱技术结合聚类分析用于海洋绿藻分类研究 |
| |
| 引用本文： | 杨佰娟,郑立,韩笑天,藏家业,王小如,黎先春.红外光谱技术结合聚类分析用于海洋绿藻分类研究[J].海洋环境科学,2011,30(5):724-726. |
| |
| 作者姓名： | 杨佰娟 郑立 韩笑天 藏家业 王小如 黎先春 |
| |
| 作者单位： | 1. 国家海洋局第一海洋研究所海洋生态研究中心,山东青岛,266061
2. 中国科学院海洋研究所海洋生态与环境科学重点实验室,山东青岛,266071 |
| |
| 基金项目： | 海洋公益性行业科研专项(200805039号); 国家自然科学基金(20602009,41076108,40806053); 青岛市科技计划项目(08-1-3-10-JCH); 海洋一所基本科研业务费专项资金项目(2008G47,2008T32) |
| |
| 摘 要： | 利用傅里叶红外光谱研究了10种南极绿藻和6种浒苔,结果显示,傅里叶变换红外光谱主要由蛋白质、脂类化合物及多糖的振动吸收带组成。通过比较两类绿藻原始谱图,发现它们极为相似,在2000～500 cm-1范围内,即多糖吸收区有较小的差别。选取2000～500 cm-1范围的一阶导数进行系统聚类分析。10种南极绿藻、6种浒苔按其红外一阶导数的内在数理统计规律划归两类,南极绿藻为一类,浒苔为一类。傅里叶变换红外光谱技术结合化学统计学方法,为海洋藻类的分类研究提供一种新的方法。
|
| 关 键 词： | 绿藻 傅里叶变换红外光谱 系统聚类分析 |
Green seaweed classification by infrared spectroscopy coupled clustering analysis |
| |
| YANG Bai-juan,ZHENG Li,HAN Xiao-tian,ZANG Jia-ye,WANG Xiao-ru,LI Xian-chun.Green seaweed classification by infrared spectroscopy coupled clustering analysis[J].Marine Environmental Science,2011,30(5):724-726. |
| |
| Authors: | YANG Bai-juan ZHENG Li HAN Xiao-tian ZANG Jia-ye WANG Xiao-ru LI Xian-chun |
| |
| Institution: | YANG Bai-juan1,ZHENG Li1,HAN Xiao-tian2,ZANG Jia-ye1,WANG Xiao-ru1,LI Xian-chun1(1.Research Center for Marine Ecology,The First Institute of Oceanography,SOA,Qingdao 266061,China,2.Key Lab of Marine Ecology and Environmental Science,Chinese Academy of Science,Institute of Oceanography,Qingdao 266071,China) |
| |
| Abstract: | A fourier transform infrared spectroscopy(FTIR) was used to study 16 samples of Antarctic green alga and Enteromorpha prolifera.The infrared spectrum of sample was mainly composed of the absorption of protein,lignin,aliphatic compound and polysaccharide.The infrared spectrums of samples were very similar with a litter differentia in 500~2000 cm-1(polysaccharide).The first derivative spectrum data of 500~2000 cm-1 region was identified with clustering analysis.The results showed that the Antarctic green alga... |
| |
| Keywords: | green seaweed fourier transform infrared spectroscopy clustering analysis |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
