A Rapid and Nondestructive Approach for the Classification of Different-Age Citri Reticulatae Pericarpium Using Portable Near Infrared Spectroscopy

被引:31
|
作者
Li, Pao [1 ,2 ]
Zhang, Xinxin [1 ]
Li, Shangke [1 ]
Du, Guorong [3 ]
Jiang, Liwen [1 ]
Liu, Xia [1 ]
Ding, Shenghua [2 ]
Shan, Yang [2 ]
机构
[1] Hunan Agr Univ, Coll Food Sci & Technol, Hunan Prov Key Lab Food Sci & Biotechnol, Changsha 410128, Peoples R China
[2] Hunan Acad Agr Sci, Hunan Agr Prod Proc Inst, Changsha 410128, Peoples R China
[3] Shanghai Tobacco Grp Co Ltd, Beijing Work Stn, Ctr Technol, Beijing 101121, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
citri reticulatae pericarpium; portable near infrared spectroscopy; nondestructive analysis; principal component analysis; fisher linear discriminant analysis; PARTIAL LEAST-SQUARES; MULTIVARIATE CALIBRATION; SCATTER-CORRECTION; DISCRIMINATION;
D O I
10.3390/s20061586
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Citri Reticulatae Pericarpium (CRP), has been used in China for hundreds of years as a functional food and medicine. However, some short-age CRPs are disguised as long-age CRPs by unscrupulous businessmen in order to obtain higher profits. In this paper, a rapid and nondestructive method for the classification of different-age CRPs was established using portable near infrared spectroscopy (NIRS) in diffuse reflectance mode combination with appropriate chemometric methods. The spectra of outer skin and inner capsule of CRPs at different storage ages were obtained directly without destroying the samples. Principal component analysis (PCA) with single and combined spectral pretreatment methods was used for the classification of different-age CRPs. Furthermore, the data were pretreated with the PCA method, and Fisher linear discriminant analysis (FLD) with optimized pretreatment methods was discussed for improving the accuracy of classification. Data pretreatment methods can be used to eliminate the noise and background interference. The classification accuracy of inner capsule is better than that of outer skin data. Furthermore, the best results with 100% prediction accuracy can be obtained with FLD method, even without pretreatment.
引用
收藏
页数:16
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