Identification of Eight Carnation Cultivars by Fourier Transform Infrared(FTIR) Spectroscopy  

作　　者：Haichao YU Gang LIU Quanhong OU Dianxu MA Huimei LI 

机构地区：[1]School of Physics and Electronic Information,Yunnan Normal University

出　　处：《Agricultural Biotechnology》2016年第2期20-23,共4页农业生物技术（英文版）

基　　金：Supported by National Natural Science Foundation of China"Vibration Spectrum-based Diagnosis of Biological Diseases in Broad Bean"(30960179);Science and Technology Innovation Program for Universities in Yunnan Province

摘　　要：In order to distinguish eight carnation cultivars, 40 samples were analyzed by Fourier transform infrared （FI＇IR） spectroscopy combined with principal component analysis （PCA） and hierarchical cluster analysis （HCA）. According to the results, infrared spectra of eight carnation cuhivars were similar, but signifi- cant differences were observed in wave numbers and absorption peak intensities in the range of 1 800 -700cm-1. The second order derivative spectra in the range of 1 800 -700 cm -l were selected to perform principal component analysis （PCA） and hierarchical cluster analysis （HCA）. The cumulative contribution rate of the first three principal components reached 96.2%. The classification accuracy rate of PCA and HCA was 95% and 100%, respectively. The results demonstrated that Fourier transform infrared （FTIR） spectroscopy combined with principal component analysis （PCA） and hierarchical cluster analysis （HCA） could be used for identification of different carnation cultivars.In order to distinguish eight carnation cultivars, 40 samples were analyzed by Fourier transform infrared （FI＇IR） spectroscopy combined with principal component analysis （PCA） and hierarchical cluster analysis （HCA）. According to the results, infrared spectra of eight carnation cuhivars were similar, but signifi- cant differences were observed in wave numbers and absorption peak intensities in the range of 1 800 -700cm-1. The second order derivative spectra in the range of 1 800 -700 cm -l were selected to perform principal component analysis （PCA） and hierarchical cluster analysis （HCA）. The cumulative contribution rate of the first three principal components reached 96.2%. The classification accuracy rate of PCA and HCA was 95% and 100%, respectively. The results demonstrated that Fourier transform infrared （FTIR） spectroscopy combined with principal component analysis （PCA） and hierarchical cluster analysis （HCA） could be used for identification of different carnation cultivars.

关 键 词：Fourier transform infrared （FFIR） spectroscopy CARNATION Principal component analysis Hierarchical luster analysis 

分 类 号：S682.19[农业科学—观赏园艺]