@article{Mongkolrat_Palanuvej_Ruangrungsi_2017, title={Thin Layer Chromatography and Image Analysis of Selected Liriodenine Bearing Plants in Thailand}, volume={27}, url={https://he01.tci-thaijo.org/index.php/jhealthres/article/view/85769}, abstractNote={<p style="text-align: justify;">To determine liriodenine content in selected Thai medicinal plants by TLC image analysis as well as HPLC. Twenty-eight plant materials in Magnoliaceae, Annonaceae and Nelumbonaceae were collected from natural sources in Thailand. Crude extracts were prepared by Soxhlet extraction in 95% ethanol. Liriodenine content was analyzed by TLC image analysis using Scion Image software as well as HPLC-DAD method. Validations of both methods were performed including linearity, accuracy, precision and sensitivity based on International Conference of Harmonization (ICH) guideline. Calibration curves showed good linear correlation coefficients (<em>R<sup>2 </sup></em>> 0.995) over the range of concentration 5-200 µg/mL. Both method validation tests showed adequate performances in reliability and sensitivity.TLC image showed a well-defined fluorescent spot of liriodenine at the <em>R<sub>f</sub></em> value of 0.75, while HPLC chromatogram indicating liriodenine peak at 11 min of retention time. Top two highest contents of liriodenine were found in <em>M. longifolia</em> and <em>M. champaca</em> bark. There was no significant difference between the results of both quantitative methods (<em>p></em>0.05). This study presented that TLC image was advantageous for liriodenine analysis due to its simple, rapid and inexpensive. Both proposed methods could be used as a tool for the quantification of liriodenine in medicinal plants. </p>}, number={2}, journal={Journal of Health Research}, author={Mongkolrat, Saranthinee and Palanuvej, Chanida and Ruangrungsi, Nijsiri}, year={2017}, month={May}, pages={67–72} }