在这项工作中,构建了一种基于智能手机的装置,用于薄层色谱(TLC)检测和半定量分析丹参的成分。通过相对峰面积和信噪比研究了关键构造和射击参数。最佳条件如下:拍摄高度,17厘米;紫外灯和TLC板之间的角度,58°;曝光补偿,0~0.2EV;日光和UV365nm下的快门速度,1/50s和1/5s,分别。来自不同品牌的智能手机可以使用不同版本的软件复制这些理想条件。具有良好的精度,重复性和稳定性,该装置用于丹酚酸B的半定量分析,迷迭香酸,cryptotanshinone,丹参酮I,丹参酮IIA,和米替龙在10批丹参的薄层色谱分析中的应用。将结果与通过TLC光密度扫描仪和两种常见类型的图像处理软件获得的结果进行了比较,即,凝胶分析仪和ImageJ。除了丹酚酸B在TLC光密度扫描仪中,所有结果在这些方法中没有显着差异,这表明智能手机可能是中药质量控制的有用工具。
In this work, a smartphone-based device was constructed for thin-layer chromatography (TLC) detection and semi-quantitative analysis of the components of Salvia miltiorrhiza. The key construction and shooting parameters were investigated by the relative peak area and signal-to-noise ratio. The best conditions were as follows: shooting height, 17 cm; angle between the UV lamp and TLC plate, 58°; exposure compensation, 0~0.2 EV; and shutter speed under daylight and UV 365 nm, 1/50 s and 1/5 s, respectively. These ideal conditions could be replicated by smartphones from different brands with different versions of software. With good precision, repeatability and stability, the developed device was used for the semi-quantitative analysis of salvianolic acid B, rosmarinic acid, cryptotanshinone, tanshinone I, tanshinone IIA, and miltirone in the TLC analysis of 10 batches of S. miltiorrhiza. The results were compared with those obtained by a TLC densitometric scanner and two common types of image processing software, i.e., Gelanalyzer and ImageJ. Except for salvianolic acid B in the TLC densitometric scanner, all results were not significantly different among these methods, which suggested that smartphones might be a useful tool for the quality control of traditional Chinese medicines.