Untargeted fatty acid profiles based on the selected ion monitoring mode |
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| Authors: | Liangxiao Zhang Peiwu Li Xiaoman Sun Wei Hu Xiupin Wang Qi Zhang Xiaoxia Ding |
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| Institution: | 1. Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China;2. Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan 430062, China;3. Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture, Wuhan 430062, China;4. Laboratory of Risk Assessment for Oilseeds Products (Wuhan), Ministry of Agriculture, Wuhan 430062, China;5. Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture, Wuhan 430062, China |
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| Abstract: | Fatty acids are potential biomarkers of some diseases and also key markers and quality parameters of different dietary fats and related products. Thus, untargeted fatty acid profiles are important in the study of dietary fat quality and fat-related diseases, as well as in other fields such as bioenergy. In addition, accurate identification of unknown components is a technological breakthrough for the selected ion monitoring (SIM) mode for untargeted profiles. In this study, we developed untargeted fatty acid profiles based on SIM. We also investigated mass spectral characteristics and equivalent chain lengths (ECL) to eliminate the influence of non-FAMEs for identifying fatty acids in samples. As an application example, fatty acid profiles were used to classify three edible vegetable oils. The results indicated that SIM-based untargeted fatty acid profiles could yield accurate qualitative and quantitative results for more fatty acids and benefit related studies of metabolite profiles. |
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| Keywords: | Untargeted fatty acid profiles Selected ion monitoring Mass spectral characteristics Edible vegetable oils |
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