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HPTLC-生物发光生物自显影筛选草药茶中是否掺有降血脂药物。

HPTLC-Bioluminescent Bioautography Screening of Herbal Teas for Adulteration with Hypolipidemic Drugs.

机构信息

State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China.

Sub-Institute of Agricultural Food Standardization, China National Institute of Standardization, Beijing 100191, China.

出版信息

Biosensors (Basel). 2023 Mar 17;13(3):392. doi: 10.3390/bios13030392.

Abstract

Teas based on nutraceutical herbs are an effective tool against hyperlipidemia. However, the adulteration with chemical drugs is frequently detected. By coupling bioluminescent bioautography with high performance thin-layer chromatography (HPTLC), we developed a facile method suitable for screening hypolipidemic drugs (ciprofibrate and bezafibrate) adulteration in five different herbal teas (lotus leaf, Apocynum, Ginkgo biloba, Gynostemia and chrysanthemum). First, the sensitivity of a bioluminescent bacteria to the analyte was evaluated on different HPTLC layer materials, revealing that the best performance was achieved on the silica gel layer. On this basis, sample extracts were separated on silica gel plates via a standardized HPTLC procedure, forming a selective detection window for the targeted compound. Then, the separation results were rapidly visualized by the bioluminescence inhibition of bacteria cells within 6 min after dipping. The observed inhibition displayed an acceptable limit of detection (<20 ng/zone or 2 mg/kg) and linearity ( ≥ 0.9279) within a wide concentration range (50-1000 ng/zone). Furthermore, the optimized method was performed with artificially adulterated samples and the recovery rates were determined to be within the range of 71% to 91%, bracing its practical reliability. Showing superiorly high simplicity, throughput and specificity, this work demonstrated that the analytical method jointly based on HPTLC and bioautography was an ideal tool for screening bioactive compounds in complex biological matrix.

摘要

基于药食同源草本植物的茶是对抗高血脂的有效工具。然而,其常被发现掺有化学药物。本研究通过将生物发光生物自显影与高效薄层色谱(HPTLC)相结合,开发了一种简便的方法,适用于筛查五种不同的草本茶(荷叶、罗布麻、银杏叶、绞股蓝和菊花)中降脂药物(氯贝丁酸和苯扎贝特)的掺假。首先,生物发光细菌对分析物的敏感性在不同的 HPTLC 层材料上进行了评估,结果表明硅胶层的性能最佳。在此基础上,通过标准化的 HPTLC 程序,将样品提取物分离在硅胶板上,形成针对目标化合物的选择性检测窗口。然后,在浸入后 6 分钟内,通过细菌细胞的生物发光抑制快速可视化分离结果。观察到的抑制作用在较宽的浓度范围内(50-1000 ng/区)表现出可接受的检测限(<20 ng/区或 2 mg/kg)和线性(≥0.9279)。此外,该优化方法应用于人工掺假样品,并确定回收率在 71%至 91%范围内,证明其实际可靠性。该工作表明,基于 HPTLC 和生物自显影的联合分析方法具有较高的简单性、通量和特异性,是筛查复杂生物基质中生物活性化合物的理想工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c4d/10046383/25288daac36e/biosensors-13-00392-g001.jpg

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