Rapid Determination of the Freshness of Lotus Seeds Using Surface Desorption Atmospheric Pressure Chemical Ionization-Mass Spectrometry with Multivariate Analyses
In order to explore a new method to detect the freshness of lotus seeds, the lotus seeds stored for 0, 1, 2, and 3 years, respectively, were used as experimental materials and analyzed by DAPCI-MS (desorption atmospheric pressure chemical ionization-mass spectrometry). The obtained data were process...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Journal of Food Quality |
| Online Access: | http://dx.doi.org/10.1155/2019/1628796 |
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| _version_ | 1832561258745823232 |
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| author | Yunyang Chi Liping Luo Xueyong Huang Meng Cui Ximo Dai Yingbin Hao Xiali Guo Huolin Luo |
| author_facet | Yunyang Chi Liping Luo Xueyong Huang Meng Cui Ximo Dai Yingbin Hao Xiali Guo Huolin Luo |
| author_sort | Yunyang Chi |
| collection | DOAJ |
| description | In order to explore a new method to detect the freshness of lotus seeds, the lotus seeds stored for 0, 1, 2, and 3 years, respectively, were used as experimental materials and analyzed by DAPCI-MS (desorption atmospheric pressure chemical ionization-mass spectrometry). The obtained data were processed by principal component analysis (PCA) and backpropagation artificial neural networks (BP-ANNs). The result showed that DAPCI-MS could obtain abundant chemical material information from the slice surface of lotus seeds. The BP-ANNs model could be applied not only to distinguish fresh and aged lotus seeds with the testing set accuracies of 95.0% and 91.7%, respectively, but also to classify lotus seeds with different storage times with the testing set accuracies of 90.0%, 85.0%, 85.0%, and 90.0%, respectively. The paper developed a fast, convenient, and accurate method for the freshness detection of lotus seed and would provide reliable reference value for rapid authentication of food freshness by the rapid mass spectrometry technique. |
| format | Article |
| id | doaj-art-f55bc3a36b0e44d4a5d3c406fc8563c9 |
| institution | Kabale University |
| issn | 0146-9428 1745-4557 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Food Quality |
| spelling | doaj-art-f55bc3a36b0e44d4a5d3c406fc8563c92025-02-03T01:25:31ZengWileyJournal of Food Quality0146-94281745-45572019-01-01201910.1155/2019/16287961628796Rapid Determination of the Freshness of Lotus Seeds Using Surface Desorption Atmospheric Pressure Chemical Ionization-Mass Spectrometry with Multivariate AnalysesYunyang Chi0Liping Luo1Xueyong Huang2Meng Cui3Ximo Dai4Yingbin Hao5Xiali Guo6Huolin Luo7College of Life Sciences, Nanchang University, Nanchang 330031, ChinaCollege of Life Sciences, Nanchang University, Nanchang 330031, ChinaCollege of Life Sciences, Nanchang University, Nanchang 330031, ChinaCollege of Life Sciences, Nanchang University, Nanchang 330031, ChinaCollege of Life Sciences, Nanchang University, Nanchang 330031, ChinaCollege of Life Sciences, Nanchang University, Nanchang 330031, ChinaCollege of Life Sciences, Nanchang University, Nanchang 330031, ChinaCollege of Life Sciences, Nanchang University, Nanchang 330031, ChinaIn order to explore a new method to detect the freshness of lotus seeds, the lotus seeds stored for 0, 1, 2, and 3 years, respectively, were used as experimental materials and analyzed by DAPCI-MS (desorption atmospheric pressure chemical ionization-mass spectrometry). The obtained data were processed by principal component analysis (PCA) and backpropagation artificial neural networks (BP-ANNs). The result showed that DAPCI-MS could obtain abundant chemical material information from the slice surface of lotus seeds. The BP-ANNs model could be applied not only to distinguish fresh and aged lotus seeds with the testing set accuracies of 95.0% and 91.7%, respectively, but also to classify lotus seeds with different storage times with the testing set accuracies of 90.0%, 85.0%, 85.0%, and 90.0%, respectively. The paper developed a fast, convenient, and accurate method for the freshness detection of lotus seed and would provide reliable reference value for rapid authentication of food freshness by the rapid mass spectrometry technique.http://dx.doi.org/10.1155/2019/1628796 |
| spellingShingle | Yunyang Chi Liping Luo Xueyong Huang Meng Cui Ximo Dai Yingbin Hao Xiali Guo Huolin Luo Rapid Determination of the Freshness of Lotus Seeds Using Surface Desorption Atmospheric Pressure Chemical Ionization-Mass Spectrometry with Multivariate Analyses Journal of Food Quality |
| title | Rapid Determination of the Freshness of Lotus Seeds Using Surface Desorption Atmospheric Pressure Chemical Ionization-Mass Spectrometry with Multivariate Analyses |
| title_full | Rapid Determination of the Freshness of Lotus Seeds Using Surface Desorption Atmospheric Pressure Chemical Ionization-Mass Spectrometry with Multivariate Analyses |
| title_fullStr | Rapid Determination of the Freshness of Lotus Seeds Using Surface Desorption Atmospheric Pressure Chemical Ionization-Mass Spectrometry with Multivariate Analyses |
| title_full_unstemmed | Rapid Determination of the Freshness of Lotus Seeds Using Surface Desorption Atmospheric Pressure Chemical Ionization-Mass Spectrometry with Multivariate Analyses |
| title_short | Rapid Determination of the Freshness of Lotus Seeds Using Surface Desorption Atmospheric Pressure Chemical Ionization-Mass Spectrometry with Multivariate Analyses |
| title_sort | rapid determination of the freshness of lotus seeds using surface desorption atmospheric pressure chemical ionization mass spectrometry with multivariate analyses |
| url | http://dx.doi.org/10.1155/2019/1628796 |
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