A novel method for the nondestructive classification of different-age Citri Reticulatae Pericarpium based on data combination technique
文献类型： 外文期刊
作者： Li, Pao 1 ; Zhang, Xinxin 2 ; Zheng, Yu 3 ; Yang, Fei 3 ; Jiang, Liwen 2 ; Liu, Xia 2 ; Ding, Shenghua 1 ; Shan, Yang 1 ;
作者机构： 1.Hunan Acad Agr Sci, Hunan Agr Prod Proc Inst, Changsha 410125, Peoples R China
2.Hunan Agr Univ, Coll Food Sci & Technol, Hunan Prov Key Lab Food Sci & Biotechnol, Changsha, Peoples R China
3.Hunan Normal Univ, Sch Med, Changsha, Peoples R China
关键词： chemometric method; Citri Reticulatae Pericarpium; classification; data combination; near-infrared diffuse reflectance spectroscopy
期刊名称：FOOD SCIENCE & NUTRITION （ 影响因子：2.863； 五年影响因子：3.141 ）
ISSN： 2048-7177
年卷期： 2021 年 9 卷 2 期
页码：
收录情况： SCI
摘要： The quality of Citri Reticulatae Pericarpium (CRP) is closely correlated with the aging time. However, CRPs in different storage ages are similar in appearance, and the young CRP may be labeled as the aged one to obtain the excess profit by some unscrupulous traders. Most traditional analysis methods are laborious and time-consuming, and they can hardly realize the nondestructive classification. In this paper, a novel method based on near-infrared diffuse reflectance spectroscopy (NIRDRS) and data combination technique for the nondestructive classification of different-age CRPs was proposed. The CRPs in different storage ages (5, 10, 15, 20, and 25 years) were measured. The near-infrared spectra of outer skin and inner capsule were obtained. Principal component analysis (PCA), soft independent modeling of class analogy (SIMCA), and Fisher's linear discriminant analysis (FLD), with different data pretreatment methods, were used for the classification analysis. Data combination of the outer skin and inner capsule spectra was discussed for further improving the classification results. The results show that multiple sensors provide more useful and complementary information than a single sensor does for improving the prediction accuracy. With the help of data combination strategy, 100% prediction accuracy can be obtained with both second-order derivative-FLD and continuous wavelet transform-multiplicative scatter correction-FLD methods.
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