化学
重复性
反褶积
柠檬酸
色谱法
质子核磁共振
分析化学(期刊)
信号(编程语言)
重氮甲烷
质子磁共振
核磁共振
立体化学
算法
生物化学
有机化学
物理
程序设计语言
计算机科学
作者
Xiaowan Huang,Yanli Wang,Wei Wang,Xiao Zhang,Lei Jiang,Jian Liu,Shuangyan Liu,Keqing Li,Chengping Xie,Qiang Wang
标识
DOI:10.1007/s44211-022-00221-4
摘要
We developed a quantitative proton nuclear magnetic resonance (qNMR) with global spectral deconvolution (GSD) method to determine the gamma-aminobutyric acid content in Chinese yam with the proton signal at δH 2.30. Trimethylsilyl-2,2,3,3-tetradeuteropropionic acid sodium salt was set as the internal standard. The method was validated and showed admissible stability, repeatability, and precision. Compared to the traditional high-performance liquid chromatography method, this method did not involve tedious pre-treatment and expensive standard. Compared to ordinary qNMR, GSD algorithm could effectively remove the effect of noise, baseline distortions and signal overlapping. Overall, qNMR with GSD method is a rapid, simple and reliable method to quantitatively determine functional metabolites even overlapped with other compounds in herbs or foods.
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