Cao Zhen, Wang Zhenjie, Shang Zhonglin, Zhao Jiancheng
College of Life Science, Hebei Normal University, Shijiazhuang, China.
Hebei College of Industry and Technology, Shijiazhuang, China.
PLoS One. 2017 Feb 16;12(2):e0172359. doi: 10.1371/journal.pone.0172359. eCollection 2017.
Fourier-transform infrared spectroscopy (FTIR) with the attenuated total reflectance technique was used to identify Rhodobryum roseum from its four adulterants. The FTIR spectra of six samples in the range from 4000 cm-1 to 600 cm-1 were obtained. The second-derivative transformation test was used to identify the small and nearby absorption peaks. A cluster analysis was performed to classify the spectra in a dendrogram based on the spectral similarity. Principal component analysis (PCA) was used to classify the species of six moss samples. A cluster analysis with PCA was used to identify different genera. However, some species of the same genus exhibited highly similar chemical components and FTIR spectra. Fourier self-deconvolution and discrete wavelet transform (DWT) were used to enhance the differences among the species with similar chemical components and FTIR spectra. Three scales were selected as the feature-extracting space in the DWT domain. The results show that FTIR spectroscopy with chemometrics is suitable for identifying Rhodobryum roseum and its adulterants.
采用衰减全反射技术的傅里叶变换红外光谱（FTIR）用于从四种伪品中鉴别玫瑰藓。获得了六个样品在4000 cm⁻¹至600 cm⁻¹范围内的FTIR光谱。二阶导数变换测试用于识别小的和相邻的吸收峰。基于光谱相似性进行聚类分析，将光谱分类到树形图中。主成分分析（PCA）用于对六个苔藓样品的种类进行分类。采用带有PCA的聚类分析来鉴别不同的属。然而，同一属的一些物种表现出高度相似的化学成分和FTIR光谱。傅里叶自去卷积和离散小波变换（DWT）用于增强化学成分和FTIR光谱相似的物种之间的差异。在DWT域中选择三个尺度作为特征提取空间。结果表明，结合化学计量学的FTIR光谱法适用于鉴别玫瑰藓及其伪品。
