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.
Keywords: Quality control; Salvia miltiorrhiza; Smartphone; TLC; Traditional Chinese medicines (TCMs).
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