Discriminating the Geographical Origins of Chinese White Lotus Seeds by Near-Infrared Spectroscopy and Chemometrics
The traceability of a Chinese white lotus seed (WLS) with Protected Designation of Origin (PDO) was investigated using near-infrared (NIR) spectroscopy and chemometrics. Three chemometrics methods, discrimination analysis (DA), class modeling, and a newly proposed strategy, the fusion of DA and clas...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
|
| Series: | Journal of Spectroscopy |
| Online Access: | http://dx.doi.org/10.1155/2015/831246 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832561976215076864 |
|---|---|
| author | Lu Xu Chen-Bo Cai Yuan-Bin She Li-Juan Chen |
| author_facet | Lu Xu Chen-Bo Cai Yuan-Bin She Li-Juan Chen |
| author_sort | Lu Xu |
| collection | DOAJ |
| description | The traceability of a Chinese white lotus seed (WLS) with Protected Designation of Origin (PDO) was investigated using near-infrared (NIR) spectroscopy and chemometrics. Three chemometrics methods, discrimination analysis (DA), class modeling, and a newly proposed strategy, the fusion of DA and class modeling, were investigated to compare their capacity to trace the geographical origins of WLS. Least squares support vector machine (LS-SVM) was developed to distinguish the PDO WLS from non-PDO WLS of four main producing areas. A class modeling technique, one-class partial least squares (OCPLS), was developed only using the data of PDO WLS. By the fusion of LS-SVM and OCPLS, the best prediction sensitivity and specificity were 0.900 and 0.973, respectively. The results indicate that fusion of DA and class modeling can enhance the specificity for detection of non-PDO products. The conclusion is that DA and class modeling should be combined for tracing food geographical origins. |
| format | Article |
| id | doaj-art-5b2ff08699614efb8b8267d52e558ff1 |
| institution | Kabale University |
| issn | 2314-4920 2314-4939 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Spectroscopy |
| spelling | doaj-art-5b2ff08699614efb8b8267d52e558ff12025-02-03T01:23:43ZengWileyJournal of Spectroscopy2314-49202314-49392015-01-01201510.1155/2015/831246831246Discriminating the Geographical Origins of Chinese White Lotus Seeds by Near-Infrared Spectroscopy and ChemometricsLu Xu0Chen-Bo Cai1Yuan-Bin She2Li-Juan Chen3College of Material and Chemical Engineering, Tongren University, Tongren, Guizhou 554300, ChinaCollege of Chemistry and Life Science, Chuxiong Normal University, Chuxiong 675000, ChinaCollege of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, ChinaCollege of Material and Chemical Engineering, Tongren University, Tongren, Guizhou 554300, ChinaThe traceability of a Chinese white lotus seed (WLS) with Protected Designation of Origin (PDO) was investigated using near-infrared (NIR) spectroscopy and chemometrics. Three chemometrics methods, discrimination analysis (DA), class modeling, and a newly proposed strategy, the fusion of DA and class modeling, were investigated to compare their capacity to trace the geographical origins of WLS. Least squares support vector machine (LS-SVM) was developed to distinguish the PDO WLS from non-PDO WLS of four main producing areas. A class modeling technique, one-class partial least squares (OCPLS), was developed only using the data of PDO WLS. By the fusion of LS-SVM and OCPLS, the best prediction sensitivity and specificity were 0.900 and 0.973, respectively. The results indicate that fusion of DA and class modeling can enhance the specificity for detection of non-PDO products. The conclusion is that DA and class modeling should be combined for tracing food geographical origins.http://dx.doi.org/10.1155/2015/831246 |
| spellingShingle | Lu Xu Chen-Bo Cai Yuan-Bin She Li-Juan Chen Discriminating the Geographical Origins of Chinese White Lotus Seeds by Near-Infrared Spectroscopy and Chemometrics Journal of Spectroscopy |
| title | Discriminating the Geographical Origins of Chinese White Lotus Seeds by Near-Infrared Spectroscopy and Chemometrics |
| title_full | Discriminating the Geographical Origins of Chinese White Lotus Seeds by Near-Infrared Spectroscopy and Chemometrics |
| title_fullStr | Discriminating the Geographical Origins of Chinese White Lotus Seeds by Near-Infrared Spectroscopy and Chemometrics |
| title_full_unstemmed | Discriminating the Geographical Origins of Chinese White Lotus Seeds by Near-Infrared Spectroscopy and Chemometrics |
| title_short | Discriminating the Geographical Origins of Chinese White Lotus Seeds by Near-Infrared Spectroscopy and Chemometrics |
| title_sort | discriminating the geographical origins of chinese white lotus seeds by near infrared spectroscopy and chemometrics |
| url | http://dx.doi.org/10.1155/2015/831246 |
| work_keys_str_mv | AT luxu discriminatingthegeographicaloriginsofchinesewhitelotusseedsbynearinfraredspectroscopyandchemometrics AT chenbocai discriminatingthegeographicaloriginsofchinesewhitelotusseedsbynearinfraredspectroscopyandchemometrics AT yuanbinshe discriminatingthegeographicaloriginsofchinesewhitelotusseedsbynearinfraredspectroscopyandchemometrics AT lijuanchen discriminatingthegeographicaloriginsofchinesewhitelotusseedsbynearinfraredspectroscopyandchemometrics |