Fast Nondestructive Identification of Endothelium Corneum Gigeriae Galli Using Visible/Near-Infrared Spectroscopy

• 作者: 刘颂豪 孟耀勇 张小燕 张浩 欧文娟
• 来源期刊: 中国物理快报（英文版）
• 年，卷（期）: 2011,（12）
• 页码范围: 74-77
• 页数: 4页
• 语种: 英文
• DOI: 10.1088/0256-307X/28/12/120701

摘要

Vis/NIR spectroscopy,in combination with partial least square(PLS)analysis and a back-propagation neural network,is investigated to identify endothclium corneum gigeriae galli(ECGG).The spectral features of ECGGs and their counterfeits are reasonably differentiated in vis/NIR region,which provides enough qualitative information to establish the relationship between the spectra and samples for identification.After pretreatment of the spectral data,cross validation is implemented for extracting the best number of principal components.Then the calibration and validation set are performed well The PLS and back propagation neural network(BPNN)model gives the BPNN to be 0.9941 and the root mean square residual(RMSR)to be 0.0775 for the calibration set,and the multiple correlation coeffcient(MCC)to 0.9874 and the RMSE to 0.1134 for the validation set.Thus the PLS and BPNN model is reliable and practicable.Through testing,a recognition accuracy of 100％ is achieved.The present study could offer a new approach for fast and nondestructive discrimination of ECGG and its counterfeit.