Abstract Ginkgo biloba was a popular phytomedicine as the essential ingredient of many food supplement. In this work, a bio-inspired HPTLC method was proposed for the visualized screening of nifedipine adulteration in food supplement based on Gingko biloba. To customize the visualization of the analyte by inhibiting bacterium (Photobacterium phosphoreum) bioluminescence, the silica gel plate that gives the highest detectability was selected as the stationary phase of separation. Thereafter, the HPTLC procedure (toluene and ethyl acetate 8/2, v/v, as the mobile phase, to a distance of 60 mm) was optimized and standardized as a sample cleanup tool to exclude noises caused by bioactive co-extracts. Then, the separation result fixed on the plate layer was selectively visualized as dark bands against the white background, only after 6 min exposure. To achieve quantitation of the obtained HPTLC images, an enhanced quantitative analysis was optimized via software (ImageJ) facilitated pixel scanning, offered remarkable sensitivity (LOD=24.0 μg/g), linearity (R2=0.9985 within 50–300 ng/band) and precision (RSD

中文翻译：

---

基于银杏叶的 HPTLC-bioautography/SERS 筛查食品补充剂中硝苯地平掺假

摘要 银杏是一种广受欢迎的植物药，是许多食品补充剂的必需成分。在这项工作中，提出了一种仿生的 HPTLC 方法，用于基于银杏叶的食品补充剂中硝苯地平掺假的可视化筛选。为了通过抑制细菌（磷光杆菌）生物发光来定制分析物的可视化，选择具有最高可检测性的硅胶板作为分离的固定相。此后，HPTLC 程序（甲苯和乙酸乙酯 8/2，v/v，作为流动相，距离 60 毫米）被优化和标准化作为样品净化工具，以排除由生物活性共提取物引起的噪音。然后，固定在板层上的分离结果被选择性地可视化为白色背景下的暗带，仅在曝光 6 分钟后。