Li Yulin, Li Junbo, Wang Haisu, Qi Shaorui, Zhang Zhehao, Wang Yaqiu, Wang Ying, Ji Wei
College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, China.
School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China.
Biosensors (Basel). 2025 Aug 15;15(8):536. doi: 10.3390/bios15080536.
is an essential medicinal herb in traditional Chinese medicine, with its pharmacological properties largely attributed to bioactive flavonoids. The types and amounts of these flavonoids act as vital quality markers for both the raw materials and the resultant products. In this work, we introduce a TiO@AgNP nanocomposite designed as a surface-enhanced Raman scattering (SERS) sensor aimed at the preliminary quantification and identification of flavonoids. This is achieved by leveraging the effective molecular adsorption properties of TiO alongside the 'hot spots' generated by AgNPs. By optimizing SERS performance through adjustment of the molar ratio between TiO and Ag, we can quantitatively evaluate four flavonoids-luteolin, kaempferol, quercetin, and rutin-with low detection concentrations of 10 M, 10 M, 5 × 10 M, and 10 M, respectively. Additionally, we observe a nearly linear relationship between the SERS signals and the flavonoid concentrations, allowing for dual or multiplex analysis of these compounds. Furthermore, we successfully differentiated samples from six different geographical regions in China based on the detection of significant flavonoid constituents. This serves as a proof of concept for practical applications that can enhance the identification and distinction of traditional Chinese medicine, as well as assess quality and medicinal efficacy.
是中药中的一种重要草药，其药理特性主要归因于生物活性黄酮类化合物。这些黄酮类化合物的类型和含量是原材料及最终产品的重要质量指标。在这项工作中，我们介绍了一种设计为表面增强拉曼散射（SERS）传感器的TiO@AgNP纳米复合材料，旨在对黄酮类化合物进行初步定量和鉴定。这是通过利用TiO的有效分子吸附特性以及AgNP产生的“热点”来实现的。通过调整TiO与Ag之间的摩尔比来优化SERS性能，我们可以分别以10 M、10 M、5×10 M和10 M的低检测浓度定量评估四种黄酮类化合物——木犀草素、山柰酚、槲皮素和芦丁。此外，我们观察到SERS信号与黄酮类化合物浓度之间存在近乎线性的关系，从而可以对这些化合物进行双重或多重分析。此外，基于对重要黄酮类成分的检测，我们成功区分了来自中国六个不同地理区域的样本。这为实际应用提供了概念验证，可加强对中药的鉴定和区分，以及评估质量和药效。
