Zeng Qi, Peng Yangyao, Zhou Xianzhen, Zhang Jiaojiao, Yang Yuhang, Xu Xinyi, Guan Bin, Zhang Yuntian, Hu Xiaojia, Chen Xueli
Center for Biomedical-photonics and Molecular Imaging, Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China.
Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xidian University, Xi'an, Shaanxi 710126, China.
Food Chem X. 2024 Mar 16;22:101297. doi: 10.1016/j.fochx.2024.101297. eCollection 2024 Jun 30.
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 and 2856 cm, 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 and 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.
天然生物活性化合物和植物成分被认为具有积极的抗炎作用。本研究旨在建立一种基于无标记拉曼成像的食品抗炎功能筛选技术。利用脂多糖诱导的RAW264.7细胞模型建立了一种基于相干反斯托克斯拉曼散射（CARS）的可视化抗炎分析方法。分别在2956 cm和2856 cm的激光泵浦光波长下测定蛋白质和脂质的动态变化。该方法应用于具有抗炎活性的植物性配方（JC）。Q-TOF-MS和HPLC分析表明，JC的主要活性成分是槲皮素、山奈酚、L-谷氨酰胺和叶绿素铜钠。在体内和体外验证实验中，JC通过调节TLR4/NF-κB途径显示出显著的抗炎活性。总之，本研究成功建立了一种用于筛选植物性食品中抗炎成分的无标记可视化方法，这将有助于功能性食品的评价。
