Intelligent chemical profiling of 73 edible flowers by liquid chromatography-high resolution mass spectrometry combined with HRMS database and their authentication based on large-scale fingerprints
文献类型：期刊论文
| 作者 | Li, Ziqing3; Zhang, Jianqing3; Yang, Lin2; Li, Xiaolan3; Meng, Qian3; Li, Yun3; Yao, Shuai3; Wei, Wenlong3; Bi, Qirui3; Qu, Hua3 |
| 刊名 | FOOD CHEMISTRY
 |
| 出版日期 | 2024-07-15 |
| 卷号 | 446页码:9 |
| 关键词 | Edible flowers LC-HRMS Database Fingerprints Authentication |
| ISSN号 | 0308-8146 |
| DOI | 10.1016/j.foodchem.2024.138683 |
| 通讯作者 | Guo, De-an(daguo@simm.ac.cn) |
| 英文摘要 | A commercial high-resolution MS database "TCM-PCDL" was innovatively introduced to automatically identify multi-components in 73 edible flowers rapidly and accurately by liquid chromatography-high resolution mass spectrometry, which can be time-consuming and labor-intensive in traditional manual method. The database encompasses over 2565 natural products with various energy levels. Unknown compounds can be identified through direct matching and scoring MS2 spectra with database. A total of 870 compounds were identified from 73 flowers, with polyphenols constituting up to 75%. Focusing on polyphenols, a high performance liquid chromatography (HPLC) method was developed to generate fingerprints from 510 batches, establishing an "HPLC database" that enabled accurate authentication using similarity scores and rankings. This method demonstrated an accuracy rate of 100% when applied to 30 unknown samples. For flowers prone to confusion, additional statistical analysis methods could be employed as aids in authentication. This study provides valuable insights for large-scale sample chemical profiling and authentication. |
| WOS关键词 | ANTIOXIDANT |
| 资助项目 | Guangxi Science and Technology Major Program[GUIKEAA23023035] ; SIMM-National Engineering Research Center of TCM Standardization Technology independent research program ; SIMM-SHUTCM Traditional Chinese MedicineInnovation Joint Research Program[E2G809H] |
| WOS研究方向 | Chemistry ; Food Science & Technology ; Nutrition & Dietetics |
| 语种 | 英语 |
| WOS记录号 | WOS:001198991600001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://119.78.100.183/handle/2S10ELR8/310774]  |
| 专题 | 中国科学院上海药物研究所 |
| 通讯作者 | Guo, De-an |
| 作者单位 | 1.Chinese Acad Sci, Zhongshan Inst Drug Discovery, Shanghai Inst Mat Med, Zhongshan 528400, Peoples R China 2.Nanjing Univ Chinese Med, Sch Chinese Mat Med, Nanjing 210023, Peoples R China 3.Chinese Acad Sci, Shanghai Inst Mat Med, Natl Engn Res Ctr TCM Standardizat Technol, Haike Rd 501, Shanghai 201203, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Ziqing,Zhang, Jianqing,Yang, Lin,et al. Intelligent chemical profiling of 73 edible flowers by liquid chromatography-high resolution mass spectrometry combined with HRMS database and their authentication based on large-scale fingerprints[J]. FOOD CHEMISTRY,2024,446:9. |
| APA | Li, Ziqing.,Zhang, Jianqing.,Yang, Lin.,Li, Xiaolan.,Meng, Qian.,...&Guo, De-an.(2024).Intelligent chemical profiling of 73 edible flowers by liquid chromatography-high resolution mass spectrometry combined with HRMS database and their authentication based on large-scale fingerprints.FOOD CHEMISTRY,446,9. |
| MLA | Li, Ziqing,et al."Intelligent chemical profiling of 73 edible flowers by liquid chromatography-high resolution mass spectrometry combined with HRMS database and their authentication based on large-scale fingerprints".FOOD CHEMISTRY 446(2024):9. |
入库方式： OAI收割
来源：上海药物研究所
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