Institute of Quality and Safety for Agro-products, Henan Academy of Agricultural Sciences, Zhengzhou, China.
Key Laboratory of Grain Quality and Safety and Testing Henan Province, Zhengzhou, China.
J Sci Food Agric. 2024 Aug 15;104(10):6342-6349. doi: 10.1002/jsfa.13418. Epub 2024 Mar 8.
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).
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.
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. © 2024 Society of Chemical Industry.
怀山药 cv. 铁杆山药的成熟度（DM）是影响其品质的重要因素。然而，关于收获时间对其成熟度影响的研究较少。本研究采用基于 NMR 的代谢组学方法研究了怀山药 cv. 铁杆山药在 6 个不同收获期（S1、S2、S3、S4、S5 和 S6）的动态代谢变化。
主成分分析显示，S1、S2 和 S3 收获的样品与 S4、S5 和 S6 收获的样品明显分离。有趣的是，这两个时期的样品是在霜前和霜后获得的，表明降霜可能对 DM 很重要。通过主成分分析载荷图和偏最小二乘判别分析，确定了 8 个负责不同组良好分离的差异代谢物。此外，采用液相色谱-串联质谱法对这些代谢物进行定量分析，确定了收获时间对这些代谢物含量的影响，其中蔗糖和尿囊素被认为是确定 DM 的潜在标志物。
本研究表明，基于 NMR 的代谢组学方法可作为一种有效的工具，用于识别收获过程中的差异代谢物，也为深入了解 DM 形成的潜在机制提供了新的思路。 © 2024 化学工业协会。
