化学
色谱法
四极飞行时间
亲水作用色谱法
质谱法
逆流色谱法
极性(国际关系)
分辨率(逻辑)
高效液相色谱法
电喷雾电离
生物化学
细胞
人工智能
计算机科学
作者
He Sun,Mengyao Wang,Jiaqi Huang,Dian-xin Cui,Ling Leng,Xiumei Gao,Xue Li,Wenzhi Yang
标识
DOI:10.1016/j.chroma.2024.465233
摘要
Metabolites identification is crucial to develop functional foods or perform quality control. Prunella vulgaris (Xia-Ku-Cao) is a medicinal and edible plant used as the herbal medicine or main additive in functional beverage. However, current analytical strategies can only on-line characterize tens of compounds, restricted by insufficient chromatographic resolution and low coverage of the mass spectrometric scan methods. This work was designed to characterize the wide-polarity components from the ear of P. vulgaris. The total extract was fractionated by semi-preparative high-performance liquid chromatography into the retained medium-polarity fraction and unretained polar fraction, which were further analyzed by offline two-dimensional liquid chromatography (2D-LC) and hydrophilic interaction chromatography, respectively. Data-independent high-definition MS
科研通智能强力驱动
Strongly Powered by AbleSci AI