title: Rapid classification of Chinese quince (Chaenomeles speciosa Nakai) fruit provenance by near-infrared spectroscopy and multivariate calibration.
abstract: The quality of Chinese quince fruit is a significant factor for medicinal materials, influencing the quality of the medicine. However, it is difficult to distinguish different types of Chinese quince fruit. The main objective of this work was to use near-infrared (NIR) spectroscopy, which is a rapid and non-destructive analysis method, to classify the varieties of Chinese quince fruits. Raw spectra in the range of 1000 to 2500 nm were combined with linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), and support vector machines (SVMs) for classification. The first three principal component analysis (PCA) scores were used as input variables to build LDA, QDA, and SVM discriminant models. The results indicate that all three of these methods are effective for distinguishing the different types of Chinese quince fruit. The classification accuracies for LDA, QDA, and SVM are 94, 96, and 98 %, respectively. QDA led to high-level classification accuracy of Chinese quince fruit.
authors: Research Institute of Subtropical Forestry, Chinese Academy of Forestry, No. 73 Daqiao Road, Fuyang County, 311400, Zhejiang, China. whshao8119@163.com.
authors: Wenhao
authors: W
authors: Shao
authors: Research Institute of Subtropical Forestry, Chinese Academy of Forestry, No. 73 Daqiao Road, Fuyang County, 311400, Zhejiang, China. yanjie.li@pg.canterbury.ac.nz.|School of Forestry, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand. yanjie.li@pg.canterbury.ac.nz.
authors: Yanjie
authors: Y
authors: Li
authors: China Paulownia Research Centre, Non-timber Forest Research and Development Centre of Chinese Academy of Forestry, 3 Weiwu Road, Zhengzhou, 450003, Henan, China.
authors: Songfeng
authors: S
authors: Diao
authors: Research Institute of Subtropical Forestry, Chinese Academy of Forestry, No. 73 Daqiao Road, Fuyang County, 311400, Zhejiang, China. jmjiang6001@126.com.
authors: Jingmin
authors: J
authors: Jiang
authors: Research Institute of Subtropical Forestry, Chinese Academy of Forestry, No. 73 Daqiao Road, Fuyang County, 311400, Zhejiang, China.
authors: Ruxiang
authors: R
authors: Dong
mesh_terms: D002138:Calibration; D016002:Discriminant Analysis; D004365:Drugs, Chinese Herbal / Q000737:chemistry* / Q000145:classification; D005638:Fruit / Q000737:chemistry* / Q000145:classification; D016018:Least-Squares Analysis; D025341:Principal Component Analysis; D027824:Rosaceae / Q000737:chemistry* / Q000145:classification; D019265:Spectroscopy, Near-Infrared / Q000191:economics / Q000379:methods*; D060388:Support Vector Machine; D013997:Time Factors
chemical_list: D004365:Drugs, Chinese Herbal
keywords: Chinese quince; LDA; NIR; QDA; SVM