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Identification of Eight Carnation Cultivars by Fourier Transform Infrared (FTIR) Spectroscopy
  • ISSN号:1000-0593
  • 期刊名称:《光谱学与光谱分析》
  • 时间:0
  • 分类:O174.22[理学—数学;理学—基础数学] O657.33[理学—分析化学;理学—化学]
  • 作者机构:School of Physics and Electronic Information, Yunnan Normal University, Kunming 650500, China
  • 相关基金:Supported by National Natural Science Foundation of China " Vibration Spec- trum-based Diagnosis of Biological Diseases in Broad Bean" (30960179); Science and Technology Innovation Program for Universities in Yunnan Prov- ince.
中文摘要:

In order to distinguish eight carnation cultivars,40 samples were analyzed by Fourier transform infrared(FTIR) spectroscopy combined with principal component analysis(PCA) and hierarchical cluster analysis(HCA).According to the results,infrared spectra of eight carnation cultivars were similar,but significant differences were observed in wave numbers and absorption peak intensities in the range of 1 800-700 cm-1.The second order derivative spectra in the range of 1 800-700 cm-1 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.

英文摘要:

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.

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期刊信息
  • 《光谱学与光谱分析》
  • 中国科技核心期刊
  • 主管单位:中国科学技术协会
  • 主办单位:中国光学学会
  • 主编:高松
  • 地址:北京海淀区魏公村学院南路76号
  • 邮编:100081
  • 邮箱:chngpxygpfx@vip.sina.com
  • 电话:010-62181070
  • 国际标准刊号:ISSN:1000-0593
  • 国内统一刊号:ISSN:11-2200/O4
  • 邮发代号:82-68
  • 获奖情况:
  • 1992年北京出版局编辑质量奖,1996年中国科协优秀科技期刊奖,1997-2000获中国科协择优支持基础性高科技学术期刊奖
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),荷兰文摘与引文数据库,美国工程索引,美国生物医学检索系统,美国科学引文索引(扩展库),英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),英国英国皇家化学学会文摘,中国北大核心期刊(2000版)
  • 被引量:40642