[ Objective] The paper was to study the application d Fourier transform infrared spectroscopy （FTIR technology） in identification of peanut diseases. [Method] By using FFIR technology, combined with the methods of p...[ Objective] The paper was to study the application d Fourier transform infrared spectroscopy （FTIR technology） in identification of peanut diseases. [Method] By using FFIR technology, combined with the methods of principal component analysis and hierarchical cluster analysis, the healthy leaves and three kinds of diseased leaves （ eereospera black spot, cercospora brown spot and web blotch） were identified in the paper. [ Result ] IR spectra of both diseased and healthy samples were similar, but tiny differences in wave-numbers and absorption intensities of peaks were observed in the range of 1 750 -800 cm-1. Significant differences were found in second derivative speclra in the range of 3 600 - 2 800 and 1 750 -650 cm-1 which were selected to perform principle component and hier- archical cluster analysis. Three principal components had the cumulative contribution rate of 94.9% ; the correct rate of principal component analysis for classifica- tion was 100% and the correct rate of hierarchical cluster analysis for identification reached 94.6%. [ Conclusion] Fourier transform infrared spectroscopy has a tmtential to be develoned as a nowerful means for identification of cren diseases.展开更多
为区分不同种类花粉,采用扫描电子显微镜(Scanning Electron Microscope,SEM)和表面增强拉曼光谱对雪松花粉和茶花蜂花粉、荷花蜂花粉、玫瑰蜂花粉、荞麦蜂花粉、五味子蜂花粉、益母草蜂花粉、油菜蜂花粉等七种蜂花粉进行形貌观察和光...为区分不同种类花粉,采用扫描电子显微镜(Scanning Electron Microscope,SEM)和表面增强拉曼光谱对雪松花粉和茶花蜂花粉、荷花蜂花粉、玫瑰蜂花粉、荞麦蜂花粉、五味子蜂花粉、益母草蜂花粉、油菜蜂花粉等七种蜂花粉进行形貌观察和光谱表征。结果显示:花粉间的形态差异微小,扫描电子显微镜难于区分各种花粉,而表面增强拉曼光谱可以简单快速的鉴别不同种类花粉。七种蜂花粉在1800~400 cm^-1范围存在明显差异。相比蜂花粉,雪松花粉的拉曼信号更清晰可辨,其主要特征谱带出现在1701、1657、1572、1522、1397、1293、1208、810和565 cm^-1附近。展开更多
基金Supported by National Natural Science Foundation of China (30960179)Scientific Research Fund of Yunnan Provincial Department of Education (2012J096,2011Z013)
文摘[ Objective] The paper was to study the application d Fourier transform infrared spectroscopy （FTIR technology） in identification of peanut diseases. [Method] By using FFIR technology, combined with the methods of principal component analysis and hierarchical cluster analysis, the healthy leaves and three kinds of diseased leaves （ eereospera black spot, cercospora brown spot and web blotch） were identified in the paper. [ Result ] IR spectra of both diseased and healthy samples were similar, but tiny differences in wave-numbers and absorption intensities of peaks were observed in the range of 1 750 -800 cm-1. Significant differences were found in second derivative speclra in the range of 3 600 - 2 800 and 1 750 -650 cm-1 which were selected to perform principle component and hier- archical cluster analysis. Three principal components had the cumulative contribution rate of 94.9% ; the correct rate of principal component analysis for classifica- tion was 100% and the correct rate of hierarchical cluster analysis for identification reached 94.6%. [ Conclusion] Fourier transform infrared spectroscopy has a tmtential to be develoned as a nowerful means for identification of cren diseases.
文摘为区分不同种类花粉,采用扫描电子显微镜(Scanning Electron Microscope,SEM)和表面增强拉曼光谱对雪松花粉和茶花蜂花粉、荷花蜂花粉、玫瑰蜂花粉、荞麦蜂花粉、五味子蜂花粉、益母草蜂花粉、油菜蜂花粉等七种蜂花粉进行形貌观察和光谱表征。结果显示:花粉间的形态差异微小,扫描电子显微镜难于区分各种花粉,而表面增强拉曼光谱可以简单快速的鉴别不同种类花粉。七种蜂花粉在1800~400 cm^-1范围存在明显差异。相比蜂花粉,雪松花粉的拉曼信号更清晰可辨,其主要特征谱带出现在1701、1657、1572、1522、1397、1293、1208、810和565 cm^-1附近。
