光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2013年
12期
3221-3225
,共5页
李伦%刘刚%张川云%欧全宏%张黎%赵兴祥
李倫%劉剛%張川雲%歐全宏%張黎%趙興祥
리륜%류강%장천운%구전굉%장려%조흥상
傅里叶变换红外光谱%竹叶%主成分分析%聚类分析
傅裏葉變換紅外光譜%竹葉%主成分分析%聚類分析
부리협변환홍외광보%죽협%주성분분석%취류분석
FTIR%Bamboo leaves%Principal component analysis%Hierarchical cluster analysis
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1800~700 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1800~700 cm-1范围显示明显差异。用1800~700 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1800~700 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FT IR结合统计分析能够在种水平对竹亚科植物鉴别分类。
傅裏葉變換紅外光譜結閤主成分分析和繫統聚類分析用于竹類植物鑒彆分類研究。六種竹亞科植物54箇竹子葉片的紅外光譜測試結果顯示竹葉光譜主要由蛋白質、碳水化閤物、脂類等吸收帶組成,竹葉光譜相似,僅在1800~700 cm -1範圍峰數、峰位、峰彊上存在較小的差異。六種竹子葉片紅外光譜的二階導數譜在1800~700 cm-1範圍顯示明顯差異。用1800~700 cm-1範圍二階導數光譜進行主成分分析,在主成分PC1,PC2,PC3三維空間圖中,所測試竹葉樣本分類正確率達98%;在PC3-PC4二維投影圖顯示所有竹葉樣本正確分成六箇區域;用1800~700 cm -1範圍二階導數光譜進行聚類分析,所測竹葉樣本正確聚為六類。錶明FT IR結閤統計分析能夠在種水平對竹亞科植物鑒彆分類。
부리협변환홍외광보결합주성분분석화계통취류분석용우죽류식물감별분류연구。륙충죽아과식물54개죽자협편적홍외광보측시결과현시죽협광보주요유단백질、탄수화합물、지류등흡수대조성,죽협광보상사,부재1800~700 cm -1범위봉수、봉위、봉강상존재교소적차이。륙충죽자협편홍외광보적이계도수보재1800~700 cm-1범위현시명현차이。용1800~700 cm-1범위이계도수광보진행주성분분석,재주성분PC1,PC2,PC3삼유공간도중,소측시죽협양본분류정학솔체98%;재PC3-PC4이유투영도현시소유죽협양본정학분성륙개구역;용1800~700 cm -1범위이계도수광보진행취류분석,소측죽협양본정학취위륙류。표명FT IR결합통계분석능구재충수평대죽아과식물감별분류。
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 belong-ing to six species were obtained .The results showed that the infrared spectra of bamboo leaves were similar ,and mainly com-posed 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 hierar-chical 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 sam-ples .It is proved that Fourier transform infrared spectroscopy combined with PCA and HCA could be used to discriminate bam-boo at species level with only a tiny leaf sample .