Identification of peanut oil origins based on Raman spectroscopy combined with multivariate data analysis methods
This study aimed to use Raman spectroscopy to identify the producing areas of peanut oil and build a robust discriminant model to further screen out the characteristic spectra closely related to the origin. Raman spectra of 159 peanut oil samples from different provinces and different cities of the...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2022-01-01
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| Series: | Journal of Integrative Agriculture |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095311922000351 |
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| author | Peng-fei ZHU Qing-li YANG Hai-yan ZHAO |
| author_facet | Peng-fei ZHU Qing-li YANG Hai-yan ZHAO |
| author_sort | Peng-fei ZHU |
| collection | DOAJ |
| description | This study aimed to use Raman spectroscopy to identify the producing areas of peanut oil and build a robust discriminant model to further screen out the characteristic spectra closely related to the origin. Raman spectra of 159 peanut oil samples from different provinces and different cities of the same province were collected. The obtained data were analyzed by stepwise linear discriminant analysis (SLDA), k-nearest neighbor analysis (k-NN), support vector machine (SVM) and multi-way analysis of variance. The results showed that the overall recognition rate of samples based on full spectra was higher than 90%. The producing origin, variety and their interaction influenced Raman spectra of peanut oil significantly, and 1 400–1 500 cm−1 and 1 600–1 700 cm−1 were selected as the characteristic spectra of origin and less affected by variety. The best classification model established by SLDA combined with characteristic spectra could rapidly and accurately identify peanut oil's origin. |
| format | Article |
| id | doaj-art-9d35fab19ea84416aae784eafc46f592 |
| institution | Kabale University |
| issn | 2095-3119 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Journal of Integrative Agriculture |
| spelling | doaj-art-9d35fab19ea84416aae784eafc46f5922025-08-20T03:57:08ZengKeAi Communications Co., Ltd.Journal of Integrative Agriculture2095-31192022-01-012192777278510.1016/j.jia.2022.07.026Identification of peanut oil origins based on Raman spectroscopy combined with multivariate data analysis methodsPeng-fei ZHU0Qing-li YANG1Hai-yan ZHAO2College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, P.R.ChinaCollege of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, P.R.ChinaCorrespondence ZHAO Hai-yan, Tel/Fax: +86-532-58957771; College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, P.R.ChinaThis study aimed to use Raman spectroscopy to identify the producing areas of peanut oil and build a robust discriminant model to further screen out the characteristic spectra closely related to the origin. Raman spectra of 159 peanut oil samples from different provinces and different cities of the same province were collected. The obtained data were analyzed by stepwise linear discriminant analysis (SLDA), k-nearest neighbor analysis (k-NN), support vector machine (SVM) and multi-way analysis of variance. The results showed that the overall recognition rate of samples based on full spectra was higher than 90%. The producing origin, variety and their interaction influenced Raman spectra of peanut oil significantly, and 1 400–1 500 cm−1 and 1 600–1 700 cm−1 were selected as the characteristic spectra of origin and less affected by variety. The best classification model established by SLDA combined with characteristic spectra could rapidly and accurately identify peanut oil's origin.http://www.sciencedirect.com/science/article/pii/S2095311922000351Raman spectroscopypeanut oillarge-scale districtsmall-scale districtvarietychemometrics |
| spellingShingle | Peng-fei ZHU Qing-li YANG Hai-yan ZHAO Identification of peanut oil origins based on Raman spectroscopy combined with multivariate data analysis methods Journal of Integrative Agriculture Raman spectroscopy peanut oil large-scale district small-scale district variety chemometrics |
| title | Identification of peanut oil origins based on Raman spectroscopy combined with multivariate data analysis methods |
| title_full | Identification of peanut oil origins based on Raman spectroscopy combined with multivariate data analysis methods |
| title_fullStr | Identification of peanut oil origins based on Raman spectroscopy combined with multivariate data analysis methods |
| title_full_unstemmed | Identification of peanut oil origins based on Raman spectroscopy combined with multivariate data analysis methods |
| title_short | Identification of peanut oil origins based on Raman spectroscopy combined with multivariate data analysis methods |
| title_sort | identification of peanut oil origins based on raman spectroscopy combined with multivariate data analysis methods |
| topic | Raman spectroscopy peanut oil large-scale district small-scale district variety chemometrics |
| url | http://www.sciencedirect.com/science/article/pii/S2095311922000351 |
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