Thin Layer Chromatography and Image Analysis of Selected Liriodenine Bearing Plants in Thailand

Authors

  • Saranthinee Mongkolrat College of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand
  • Chanida Palanuvej College of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand
  • Nijsiri Ruangrungsi (1) College of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand; (2) Department of Pharmacognosy and Pharmaceutical Botany, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand

Keywords:

Liriodenine, Medicinal plant, Thin layer chromatography, Image analysis, High performance liquid chromatography

Abstract

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 (R2 > 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 Rf 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 M. longifolia and M. champaca bark. There was no significant difference between the results of both quantitative methods (p>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. 

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How to Cite

Mongkolrat, S., Palanuvej, C., & Ruangrungsi, N. (2017). Thin Layer Chromatography and Image Analysis of Selected Liriodenine Bearing Plants in Thailand. Journal of Health Research, 27(2), 67–72. Retrieved from https://he01.tci-thaijo.org/index.php/jhealthres/article/view/85769

Issue

Section

ORIGINAL RESEARCH ARTICLE