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| Content Provider | MDPI |
|---|---|
| Author | Gao, Yuan Ma, Shuai Wang, Meng Feng, Xiao-Yuan |
| Abstract | Phenolic acids are thought to be beneficial for human health and responsible for vegetables’ health-promoting properties. Free, conjugated, and bound phenolic acids of seven commonly consumed vegetables, including kidney bean, cow pea, snow pea, hyacinth bean, green soy bean, soybean sprouts and daylily, from the regions of Beijing, Hangzhou, and Guangzhou, were identified and quantified by ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Three vegetables, namely green soy bean, soybean sprouts, and daylily (Hemerocallis fulva L.), from the Beijing region contained higher concentrations of total phenolic acids than those from the Hangzhou and Guangzhou regions. The results indicated that the phenolic acid content in the seven vegetables appeared to be species-dependent. The highest content of phenolic acids was found in daylily, followed by green soy bean, while the least amounts were identified in kidney bean and hyacinth bean. Typically, phenolic acids are predominantly found in conjugated forms. Principle component analysis (PCA) revealed some key compounds that differentiated the seven vegetables. Green soy bean, compared to the other six vegetables, was characterized by higher levels of syringic acid, ferulic acid, vanillic acid, and sinapic acid. Other compounds, particularly p-coumaric acid, neochlorogenic acid, and caffeic acid, exhibited significantly higher concentrations in daylily. In addition, p-coumaric acid was the characteristic substance in cow pea. Results from this study can contribute to the development of vegetables with specific phytochemicals and health benefits. |
| File Size | 689152 |
| File Format | |
| e-ISSN | 14203049 |
| DOI | 10.3390/molecules22111878 |
| Journal | Molecules |
| Issue Number | 11 |
| Volume Number | 22 |
| Language | English |
| Publisher Date | 2017-11-01 |
| Access Restriction | Open |
| Subject Keyword | phenolic acid vegetables region characteristic components PCA |
| Content Type | Text |
| Resource Type | Article |
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