Discrimination of pressed sesame oil: A comparison study of non-targeted UV spectral fingerprints combined with different chemometric methods
This study explores the utilization of various chemometric analytical methods for determining the quality of pressed sesame oil with different adulteration levels of refined sesame oil using UV spectral fingerprints. The goal of this study was to provide a reliable tool for assessing the quality of...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2024-12-01
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| Series: | Grain & Oil Science and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590259824000529 |
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| author | Dongmin Wang Yuxin Liu Jiahui Qian Yake Li Lixia Hou Huamin Liu |
| author_facet | Dongmin Wang Yuxin Liu Jiahui Qian Yake Li Lixia Hou Huamin Liu |
| author_sort | Dongmin Wang |
| collection | DOAJ |
| description | This study explores the utilization of various chemometric analytical methods for determining the quality of pressed sesame oil with different adulteration levels of refined sesame oil using UV spectral fingerprints. The goal of this study was to provide a reliable tool for assessing the quality of sesame oil. The UV spectra of 51 samples of pressed sesame oil and 420 adulterated samples with refined sesame oil were measured in the range of 200-330 nm. Various classification and prediction methods, including linear discrimination analysis (LDA), support vector machines (SVM), soft independent modeling of class analogy (SIMCA), partial least squares regression (PLSR), support vector machine regression (SVR), and back-propagation neural network (BPNN), were employed to analyze the UV spectral data of pressed sesame oil and adulterated sesame oil. The results indicated that SVM outperformed the other classification methods in qualitatively identifying adulterated sesame oil, achieving an accuracy of 96.15%, a sensitivity of 97.87%, and a specificity of 80%. For quantitative analysis, BPNN yielded the best prediction results, with an R2 value of 0.99, RMSEP of 2.34%, and RPD value of 10.60 (LOD of 8.60% and LOQ of 28.67%). Overall, the developed models exhibited significant potential for rapidly identifying and predicting the quality of sesame oil. |
| format | Article |
| id | doaj-art-ea552d60e8e544fcad7ecbd80a87b7cb |
| institution | DOAJ |
| issn | 2590-2598 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Grain & Oil Science and Technology |
| spelling | doaj-art-ea552d60e8e544fcad7ecbd80a87b7cb2025-08-20T02:50:26ZengKeAi Communications Co., Ltd.Grain & Oil Science and Technology2590-25982024-12-017425426110.1016/j.gaost.2024.08.001Discrimination of pressed sesame oil: A comparison study of non-targeted UV spectral fingerprints combined with different chemometric methodsDongmin Wang0Yuxin Liu1Jiahui Qian2Yake Li3Lixia Hou4Huamin Liu5College of Food Science and Engineering, Institute of Special Oilseed Processing and Technology, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Food Science and Engineering, Institute of Special Oilseed Processing and Technology, Henan University of Technology, Zhengzhou 450001, ChinaSchool of International Education, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Food Science and Engineering, Institute of Special Oilseed Processing and Technology, Henan University of Technology, Zhengzhou 450001, China; Corresponding author at: College of Food Science and Technology, No.100 Lotus Street, High-Tech Zone, Zhengzhou 450001, China.College of Food Science and Engineering, Institute of Special Oilseed Processing and Technology, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Food Science and Engineering, Institute of Special Oilseed Processing and Technology, Henan University of Technology, Zhengzhou 450001, ChinaThis study explores the utilization of various chemometric analytical methods for determining the quality of pressed sesame oil with different adulteration levels of refined sesame oil using UV spectral fingerprints. The goal of this study was to provide a reliable tool for assessing the quality of sesame oil. The UV spectra of 51 samples of pressed sesame oil and 420 adulterated samples with refined sesame oil were measured in the range of 200-330 nm. Various classification and prediction methods, including linear discrimination analysis (LDA), support vector machines (SVM), soft independent modeling of class analogy (SIMCA), partial least squares regression (PLSR), support vector machine regression (SVR), and back-propagation neural network (BPNN), were employed to analyze the UV spectral data of pressed sesame oil and adulterated sesame oil. The results indicated that SVM outperformed the other classification methods in qualitatively identifying adulterated sesame oil, achieving an accuracy of 96.15%, a sensitivity of 97.87%, and a specificity of 80%. For quantitative analysis, BPNN yielded the best prediction results, with an R2 value of 0.99, RMSEP of 2.34%, and RPD value of 10.60 (LOD of 8.60% and LOQ of 28.67%). Overall, the developed models exhibited significant potential for rapidly identifying and predicting the quality of sesame oil.http://www.sciencedirect.com/science/article/pii/S2590259824000529Pressed sesame oilRefined sesame oilAdulteration detectionUV spectraChemometrics |
| spellingShingle | Dongmin Wang Yuxin Liu Jiahui Qian Yake Li Lixia Hou Huamin Liu Discrimination of pressed sesame oil: A comparison study of non-targeted UV spectral fingerprints combined with different chemometric methods Grain & Oil Science and Technology Pressed sesame oil Refined sesame oil Adulteration detection UV spectra Chemometrics |
| title | Discrimination of pressed sesame oil: A comparison study of non-targeted UV spectral fingerprints combined with different chemometric methods |
| title_full | Discrimination of pressed sesame oil: A comparison study of non-targeted UV spectral fingerprints combined with different chemometric methods |
| title_fullStr | Discrimination of pressed sesame oil: A comparison study of non-targeted UV spectral fingerprints combined with different chemometric methods |
| title_full_unstemmed | Discrimination of pressed sesame oil: A comparison study of non-targeted UV spectral fingerprints combined with different chemometric methods |
| title_short | Discrimination of pressed sesame oil: A comparison study of non-targeted UV spectral fingerprints combined with different chemometric methods |
| title_sort | discrimination of pressed sesame oil a comparison study of non targeted uv spectral fingerprints combined with different chemometric methods |
| topic | Pressed sesame oil Refined sesame oil Adulteration detection UV spectra Chemometrics |
| url | http://www.sciencedirect.com/science/article/pii/S2590259824000529 |
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