Label-free Raman imaging for screening of anti-inflammatory function food
| Autor: | Qi Zeng, Yangyao Peng, Xianzhen Zhou, Jiaojiao Zhang, Yuhang Yang, Xinyi Xu, Bin Guan, Yuntian Zhang, Xiaojia Hu, Xueli Chen |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Food Chemistry: X, Vol 22, Iss , Pp 101297- (2024) |
| Druh dokumentu: | article |
| ISSN: | 2590-1575 83382445 |
| DOI: | 10.1016/j.fochx.2024.101297 |
| Popis: | Natural bioactive compounds and plant constituents are considered to have a positive anti-inflammatory effect. This study aimed to establish a screening technique for anti-inflammatory function in foods based on label-free Raman imaging. A visible anti-inflammatory analysis method based on coherent anti-Stokes Raman scattering (CARS) was established with an LPS-induced RAW264.7 cell model. Dynamic changes in proteins and lipids were determined at laser pump light wavelengths of 2956 cm−1 and 2856 cm−1, respectively. The method was applied to a plant-based formula (JC) with anti-inflammatory activity. Q-TOF-MS and HPLC analyses revealed the main active constituents of JC as quercetin, kaempferol, l-glutamine, and sodium copper chlorophyllin. In in vitro and in vivo verification experiments, JC showed significant anti-inflammatory activity by regulating the TLR4/NF-κB pathway. In conclusion, this study successfully established a label-free and visible method for screening anti-inflammatory constituents in plant-based food products, which will facilitate the evaluation of functional foods. |
| Databáze: | Directory of Open Access Journals |
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