傅立叶变换红外光谱和化学计量学对某些苔藓物种的有效鉴别

IF 0.8 4区化学 Q4 SPECTROSCOPY

Spectroscopy Pub Date : 2023-03-01 DOI:10.56530/spectroscopy.bc8073t9

Zhen Cao, Zhenjie Wang, De Gao, Yongying Liu, Dongmei Xu, Peng Xu

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引用次数: 0

摘要

采用傅里叶变换红外光谱(FT-IR)与衰减全反射(ATR)技术对3个苔藓科(Mielichhoferiaceae, Bryaceae和Mniaceae)的14个样品(11种)进行了分类。得到了14个样品的FT-IR光谱范围为4000 ~ 650 cm−1。根据光谱在树状图中的相似度，对光谱进行聚类分析和主成分分析(PCA)。采用聚类分析和主成分分析相结合的方法对苔藓样品进行了粗略的分类。然而，属于同一属的一些物种表现出非常相似的化学成分和相似的FT-IR光谱。采用离散小波变换(DWT)增强具有相似化学成分和FT-IR光谱的物种之间的差异。选择三个尺度作为DWT域的特征提取空间。结果表明，傅里叶变换红外光谱与化学计量学相结合，可用于苔藓植物分类的系统研究。

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Efficient Discrimination of Some Moss Species by Fourier Transform Infrared Spectroscopy and Chemometrics

Fourier-transform infrared (FT-IR) spectroscopy with the attenuated total reflectance (ATR) technique was used to classify 14 samples (11 species) from three moss families (Mielichhoferiaceae, Bryaceae, and Mniaceae). The FT-IR spectra ranging from 4000 cm−1 to 650 cm−1 of the 14 samples were obtained. To group the spectra according to their spectral similarity in a dendrogram, cluster analysis and principal component analysis (PCA) were performed. Cluster analysis combined with PCA was used to give a rough result of classification among the moss samples. However, some species belonging to the same genus exhibited very similar chemical components and similar FT-IR spectra. Discrete wavelet transform (DWT) was used to enhance the differences among species with similar chemical components and FT-IR spectra. Three scales were selected as the feature-extracting space in the DWT domain. Results showed that FT-IR spectroscopy combined with chemometrics was suitable for a systematic research classification of bryophytes.

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来源期刊

Spectroscopy 物理-光谱学

CiteScore

1.10

自引率

0.00%

发文量

审稿时长

3 months

期刊介绍： Spectroscopy welcomes manuscripts that describe techniques and applications of all forms of spectroscopy and that are of immediate interest to users in industry, academia, and government.