Identification and Validation of Metabolic Markers for Adulteration Detection of Edible Oils Using Metabolic Networks
Food adulteration is a challenge faced by consumers and researchers. Due to DNA fragmentation during oil processing, it is necessary to discover metabolic markers alternative to DNA for adulteration detection of edible oils. However, the contents of metabolic markers vary in response to various fact...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Metabolites |
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| Online Access: | https://www.mdpi.com/2218-1989/10/3/85 |
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| author | Xinjing Dou Liangxiao Zhang Xiao Wang Ruinan Yang Xuefang Wang Fei Ma Li Yu Jin Mao Hui Li Xiupin Wang Peiwu Li |
| author_facet | Xinjing Dou Liangxiao Zhang Xiao Wang Ruinan Yang Xuefang Wang Fei Ma Li Yu Jin Mao Hui Li Xiupin Wang Peiwu Li |
| author_sort | Xinjing Dou |
| collection | DOAJ |
| description | Food adulteration is a challenge faced by consumers and researchers. Due to DNA fragmentation during oil processing, it is necessary to discover metabolic markers alternative to DNA for adulteration detection of edible oils. However, the contents of metabolic markers vary in response to various factors, such as plant species, varieties, geographical origin, climate, and cultivation measures. Thus, it is difficult to identify a universal marker for all adulterants that may be present in some authentic samples. Currently, the specificity and selectivity of metabolic biomarkers are difficult to validate. Therefore, this study developed a screening strategy based on plant metabolic networks by developing a targeted analytical method for 56 metabolites in a metabolic network, using liquid/liquid extraction−liquid chromatography−tandem mass spectrometry (LC-MS/MS). We identified a chain of 11 metabolites that were related to isoflavonoid biosynthesis, which were detected in soybean oils but not rapeseed oils. Through multiple-marker mutual validation, these metabolites can be used as species-specific universal markers to differentiate soybean oil from rapeseed oil. Moreover, this method provides a model for screening characteristic markers of other edible vegetable oils and foods. |
| first_indexed | 2024-04-12T05:38:08Z |
| format | Article |
| id | doaj.art-cd28870c41cc42dfb196e60049c25b9d |
| institution | Directory Open Access Journal |
| issn | 2218-1989 |
| language | English |
| last_indexed | 2024-04-12T05:38:08Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metabolites |
| spelling | doaj.art-cd28870c41cc42dfb196e60049c25b9d2022-12-22T03:45:46ZengMDPI AGMetabolites2218-19892020-02-011038510.3390/metabo10030085metabo10030085Identification and Validation of Metabolic Markers for Adulteration Detection of Edible Oils Using Metabolic NetworksXinjing Dou0Liangxiao Zhang1Xiao Wang2Ruinan Yang3Xuefang Wang4Fei Ma5Li Yu6Jin Mao7Hui Li8Xiupin Wang9Peiwu Li10Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaFood adulteration is a challenge faced by consumers and researchers. Due to DNA fragmentation during oil processing, it is necessary to discover metabolic markers alternative to DNA for adulteration detection of edible oils. However, the contents of metabolic markers vary in response to various factors, such as plant species, varieties, geographical origin, climate, and cultivation measures. Thus, it is difficult to identify a universal marker for all adulterants that may be present in some authentic samples. Currently, the specificity and selectivity of metabolic biomarkers are difficult to validate. Therefore, this study developed a screening strategy based on plant metabolic networks by developing a targeted analytical method for 56 metabolites in a metabolic network, using liquid/liquid extraction−liquid chromatography−tandem mass spectrometry (LC-MS/MS). We identified a chain of 11 metabolites that were related to isoflavonoid biosynthesis, which were detected in soybean oils but not rapeseed oils. Through multiple-marker mutual validation, these metabolites can be used as species-specific universal markers to differentiate soybean oil from rapeseed oil. Moreover, this method provides a model for screening characteristic markers of other edible vegetable oils and foods.https://www.mdpi.com/2218-1989/10/3/85metabolic markersedible oiladulteration detectionmetabolic networklc-ms/ms |
| spellingShingle | Xinjing Dou Liangxiao Zhang Xiao Wang Ruinan Yang Xuefang Wang Fei Ma Li Yu Jin Mao Hui Li Xiupin Wang Peiwu Li Identification and Validation of Metabolic Markers for Adulteration Detection of Edible Oils Using Metabolic Networks Metabolites metabolic markers edible oil adulteration detection metabolic network lc-ms/ms |
| title | Identification and Validation of Metabolic Markers for Adulteration Detection of Edible Oils Using Metabolic Networks |
| title_full | Identification and Validation of Metabolic Markers for Adulteration Detection of Edible Oils Using Metabolic Networks |
| title_fullStr | Identification and Validation of Metabolic Markers for Adulteration Detection of Edible Oils Using Metabolic Networks |
| title_full_unstemmed | Identification and Validation of Metabolic Markers for Adulteration Detection of Edible Oils Using Metabolic Networks |
| title_short | Identification and Validation of Metabolic Markers for Adulteration Detection of Edible Oils Using Metabolic Networks |
| title_sort | identification and validation of metabolic markers for adulteration detection of edible oils using metabolic networks |
| topic | metabolic markers edible oil adulteration detection metabolic network lc-ms/ms |
| url | https://www.mdpi.com/2218-1989/10/3/85 |
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