National Laser Centre, Council for Scientific and Industrial Research, P.O. Box 395, Pretoria 0001, South Africa.
School of Chemistry and Physics, College of Agriculture, Engineering and Science, University of Kwa-Zulu Natal, University Road, Westville, Durban 3630, South Africa.
Molecules. 2022 Apr 15;27(8):2554. doi: 10.3390/molecules27082554.
In this study, we show how surface enhanced Raman spectroscopy (SERS) can be used to monitor the molecular behaviour of aspirin and tenofovir as a means of screening medication for quality control purposes. Gold-coated slides combined with gold/dextran nanoaggregates were used to provide signal enhancement of the drugs using SERS. Aspirin (10% /) and tenofovir (20% /) were analysed in the presence of the nanomaterials to determine trends in molecular response to changes in gold/dextran concentrations. Qualitative analysis of the functional groups showed specific trends where the peak area increased with polarizability, electron density and decreased atomic radii. Steric hinderance effects also affected the trends in peak area due to the amount of gold/dextran nanoparticles in solution. Statistical analysis provided accurate and precise linear relationships (R = 0.99) for the ester and adenine functional groups of aspirin and tenofovir, respectively. From the above findings, the combined use of gold nano-scaffolds and gold/dextran nanomaterials amplified the Raman signal from the drugs to allow for systematic evaluation of their molecular properties. Although more experiments to correlate the findings are still needed, this SERS approach shows great potential as a screening method in the quality control of medications.
在这项研究中，我们展示了如何使用表面增强拉曼光谱（SERS）来监测阿司匹林和替诺福韦的分子行为，以此作为药物质量控制目的的筛选方法。使用 SERS，通过金涂层载玻片和金/葡聚糖纳米聚集体来提供药物的信号增强。在纳米材料存在的情况下分析了阿司匹林（10% /）和替诺福韦（20% /），以确定分子对金/葡聚糖浓度变化的响应趋势。对官能团的定性分析显示出特定的趋势，其中峰面积随极化率、电子密度和原子半径减小而增加。由于溶液中金/葡聚糖纳米粒子的数量，空间位阻效应也会影响峰面积的趋势。统计分析分别为阿司匹林和替诺福韦的酯基和腺嘌呤官能团提供了准确和精确的线性关系（R = 0.99）。从上述发现可以看出，金纳米支架和金/葡聚糖纳米材料的组合放大了药物的拉曼信号，从而可以对其分子性质进行系统评估。尽管仍需要进行更多的实验来关联这些发现，但这种 SERS 方法作为药物质量控制的筛选方法具有很大的潜力。
