Unveiling the impact of harvest time on Dioscorea opposita Thunb. cv. Tiegun maturity by NMR-based metabolomics and LC-MS/MS analysis
文献类型： 外文期刊
作者： An, Li 1 ; Liu, Hao 3 ; Li, Meng 1 ; Ma, Jingwei 1 ; Zheng, Lufei 4 ; Zhou, Juan 1 ; Zhang, Junfeng 1 ; Yuan, Yongliang 5 ; Wu, Xujin 1 ;
作者机构： 1.Henan Acad Agr Sci, Inst Qual & Safety Agroprod, Zhengzhou 450002, Henan, Peoples R China
2.Key Lab Grain Qual & Safety & Testing Henan Prov, Zhengzhou, Peoples R China
3.Henan Univ, Sch Life Sci, Int Joint Res Lab Global Change Ecol, Kaifeng, Peoples R China
4.Inst Qual Stand & Testing Technol Agroprod CAAS, Beijing, Peoples R China
5.Zhengzhou Univ, Dept Pharm, Affiliated Hosp 1, Zhengzhou, Peoples R China
关键词： Dioscorea opposita Thunb. cv. Tiegun; NMR; metabolomics; maturity
期刊名称：JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE （ 影响因子：4.1； 五年影响因子：4.2 ）
ISSN： 0022-5142
年卷期： 2024 年
页码：
收录情况： SCI
摘要： BACKGROUND: Dioscorea opposita Thunb. cv. Tiegun maturity (DM) is an important factor influencing its quality. However, there are few studies on the impact of harvest time on its maturation. In the present study, a NMR-based metabolomics approach was applied to investigate the dynamic metabolic changes of D. opposita Thunb. cv. Tiegun at six different harvest stages: stage 1 (S1), stage 2 (S2), Stage 3 (S3), stage 4 (S4), stage 5 (S5) and stage 6 (S6). RESULTS: Principal component analysis showed distinct segregation of samples obtained from S1, S2 and S3 compared to those derived from S4, S5 and S6. Interestingly, these samples from the two periods were obtained before and after frost, indicating that frost descent might be important for DM. Eight differential metabolites responsible for good separation of different groups were identified by the principal component analysis loading plot and partial least squares-discriminant analysis. In addition, quantitative analysis of these metabolites using liquid chromatography-tandem mass spectrometry determined the effects of harvest time on these metabolite contents, two of which, sucrose and allantoin, were considered as potential biomarkers to determine DM. CONCLUSION: The present study demonstrated that NMR-based metabolomics approach could serve as a powerful tool to identify differential metabolites during harvesting processes, also offering a fresh insight into understanding the DM and the potential mechanism of quality formation. (c) 2024 Society of Chemical Industry. (c) 2024 Society of Chemical Industry.
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