Geographical classification of Nanfeng mandarin by near infrared spectroscopy coupled with chemometrics methods

作     者：Xuan Zhang Yiping Du Peijin Tong Yuanlong Wei Man Wang 

作者机构：Shanghai Key Laboratory of Functional Materials Chemistry and Research Center of Analysis and Test East China University of Science and Technology Meilong Rd 130ShanghaiP.R.China 200237 Comprehensive Technology Center of Jiangxi Entry-Exit Inspection and Quarantine Bureau and Jiangxi Province Engineering Research Center of Infrared Spectroscopy Application South Gan River Avenue 2666Nanchang Jiangxi ProvinceP.R.China 330038 

出 版 物：《Journal of Innovative Optical Health Sciences》 (创新光学健康科学杂志（英文）)

年 卷 期：2014年第7卷第6期

页      面：70-76页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by General Administration of Quality Supervision,Inspection and Quarantine of the People's Republic of China (2012IK169) National Natural Science Youth Foundation of China (21205053) 

主　　题：Near infrared spectroscopy Nanfeng mandarin geographical origin changeable size moving window principal component analysis,variable selection 

摘      要：Near infrared spectroscopy(NIRS),coupled with principal component analysis and wavelength selection techniques,has been sed to develop a robust and reliable reduced-spectrum classifi-cation model for determining the geographical origins of Nanfeng *** application of the changeable size moving window principal component analysis(CSMWPCA)provided a notably improved lassification model,with correct classification rates of 92.00%,100.00%,90.00%,100.00%,100.00%,100.00%and 100.00%for Fujian,Guangxi,Hunan,Baishe,Baofeng,Qiawan,Sanxi samples,respectively,as well as,a total dassification rate of 97.52%in the wavelength range from 1007 to 1296 *** test and apply the proposed method,the procedure was applied to the analysis of 59 samples in an independent test *** identification results(correct rate of 96.61%)were also *** improvement achieved by the application of CSMWPCA method was particularly remarkable when taking the low complexities of the final model(290 variables)into *** results of the study showed the great potential of NIRS as a fast,nondestructive and environmentally acceptable method for the rapid and reliable determination for geographical classifcation of Nanfeng mandarins.