光散射学报, 2015, 27 (4): 0390, 网络出版: 2016-01-20   

基于离散小波变换对不同种类瓜籽的FTIR鉴别研究

Determination of Different Species of Melon Seeds by Fourier Transform Infrared Spectroscopy Combined with Discrete Wavelet Transform
作者单位
云南师范大学物理与电子信息学院,昆明 650500
摘要
傅里叶变换红外光谱(FTIR)结合离散小波变换(DWT)对不同种类的瓜籽进行鉴别研究。测试了6种瓜籽30个样品的红外光谱,结果表明:不同种类瓜籽的红外图谱相似,但在1700~900 cm-1范围,光谱的峰位、吸收强度及峰形状存在一定差异。选取该区域光谱进行离散小波变换,发现第二尺度细节系数差异明显。基于第二尺度细节系数对样品进行相关分析、主成分分析和聚类分析,其相关性最大的为丝瓜籽和南瓜籽,相关系数达到0.9279,最小是丝瓜籽和冬瓜籽为0.2147;主成分分析中,前2个主成分的累计贡献率达到95.50%,能准确代表6种瓜籽的光谱信息,且主成分分析和聚类分析正确率达100%。研究结果表明FTIR结合离散小波变换分析方法可以用来鉴别研究不同种类的瓜籽。
Abstract
Fourier transform infrared spectroscopy combined with discrete wavelet transform was used to discriminate 6 species of melon seeds. Spectra of 30 samples were obtained. The results showed that the infrared spectra of the samples were similar,while in the range of 1700~900 cm-1,tiny differences in wave-numbers and absorption intensity of peaks were observed. The spectra in this range were selected to perform discrete wavelet transform,and the obvious differences were found in the second scale detail coefficients. The second scale coefficients were selected to perform the correlation analysis,principal component analysis(PCA)and hierarchical cluster analysis(HCA). The results showed that towel gourd seeds had very significant positive correlation with cushaw seeds with correlation coefficient 0.9279,while the towel gourd seeds and semen benincasae had minimum correlation coefficient. The contributing rates of the first two principal components in PCA had reached 95.50%,which can reflect the main information in the spectra. The accuracy of PCA and HCA were 100%. It demonstrates that Fourier Transform Infrared spectroscopy combined with discrete wavelet transform was a rapid and effective method for discriminating different species of melon seeds.

马殿旭, 刘刚, 于海超, 李会梅, 刘艳, 任静, 吴跃. 基于离散小波变换对不同种类瓜籽的FTIR鉴别研究[J]. 光散射学报, 2015, 27(4): 0390. 马殿旭, 刘刚, 于海超, 李会梅, 刘艳, 任静, 吴跃. Determination of Different Species of Melon Seeds by Fourier Transform Infrared Spectroscopy Combined with Discrete Wavelet Transform[J]. The Journal of Light Scattering, 2015, 27(4): 0390.

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