TY - JOUR AU - Mongkolrat, Saranthinee AU - Palanuvej, Chanida AU - Ruangrungsi, Nijsiri PY - 2017/05/05 Y2 - 2024/03/29 TI - Thin Layer Chromatography and Image Analysis of Selected Liriodenine Bearing Plants in Thailand JF - Journal of Health Research JA - J Health Res VL - 27 IS - 2 SE - ORIGINAL RESEARCH ARTICLE DO - UR - https://he01.tci-thaijo.org/index.php/jhealthres/article/view/85769 SP - 67-72 AB - <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>&gt; 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&gt;</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.&nbsp;</p> ER -