Solvent selection in the quality analysis of white tea by nuclear magnetic resonance spectroscopy
文献类型： 外文期刊
作者： Huang, Yufei 1 ; Lu, Feifei 2 ; Guo, Yang 1 ; Cheng, Kian-Kai 4 ; Wang, Zijian 1 ; Li, Wei 2 ; Dong, Jiyang 1 ; Huang, Biao 2 ; Cui, Xiaohong 1 ;
作者机构： 1.Xiamen Univ, Sch Elect Sci & Engn, Dept Elect Sci,State Key Lab Phys Chem Solid Surfa, Fujian Prov Key Lab Plasma & Magnet Resonance, Xiamen, Peoples R China
2.Fujian Acad Agr Sci, Inst Qual Stand & Testing Technol Agroprod, Fuzhou 350003, Peoples R China
3.Fujian Key Lab Agroprod Qual & Safety, Fuzhou 350003, Peoples R China
4.Univ Teknol Malaysia, Fac Chem & Energy Engn, Johor Baharu 81310, Johor, Malaysia
关键词： Dissolution protocol; NMR spectroscopy; White tea; Variety discrimination; Storage year prediction
期刊名称：LWT-FOOD SCIENCE AND TECHNOLOGY （ 影响因子：6.6； 五年影响因子：6.9 ）
ISSN： 0023-6438
年卷期： 2025 年 215 卷
页码：
收录情况： SCI
摘要： The study aimed to assess the influence of diverse solvent schemes on the qualitative analysis of white tea and to establish a more comprehensive quality evaluation. A systematic study of solvent optimization was carried out using the quality analysis of white tea as an exemplar, highlighting the critical role of selecting appropriate solvents in NMR-based sample preparation process. Six sample dissolution protocols, encompassing extraction and reconstitution solvents, were evaluated. The aqueous methanol solution proved effective as an extraction solvent, offering optimal metabolite coverage and spectral resolution. For reconstitution solvents, D2O facilitated identification of specific metabolites, such as amino acids, organic acids and carbohydrates, while DMSO-d6 exhibited better performance in detecting catechins, alkaloids and lipid resonances. Additionally, DMSO-d6 enabled better discrimination among various white tea varieties, whereas D2O system demonstrated better ability for estimating the storage duration of white tea. The characteristic metabolites were exactly those that each of the two solvents is suited to solubilize. Therefore, it can be concluded that solvents suitable for the detection of a class of metabolites are more likely to highlight differences in that type of metabolites and multi- solvent combination captures more comprehensive information, revealing the necessity of optimizing solvent protocols for different assay targets.
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