Developing an Analytical Method for the Analysis of a Medicinal Plant

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Table of Contents

  • Student Handout (Word, PDF)
  • Instructor’s Guide (Word, PDF)
  • On-line, interactive Version (Link)

Introduction

This module introduces students to the process of developing an analytical method using, as a case study, the quantitative analysis of eight analytes in the medicinal plant Danshen using a combination of a microwave extraction to isolate the analytes and HPLC with UV detection to determine their concentrations. The module is divided into nine parts:

  • Part I. Context of Analytical Problem
  • Part II. Separating and Analyzing Mixtures Using HPLC
  • Part III. Extracting Analytes From Samples
  • Part IV. Selecting the Solvent, Temperature, and Microwave Power
  • Part V. Optimizing the Solvent-to-Solid Ratio and the Extraction Time
  • Part VI. Finding the Global Optimum Across All Analytes
  • Part VII. Verifying the Analytical Method’s Accuracy
  • Part VIII. Applying the Analytical Method
  • Part IX. Closing Thoughts

Interspersed within the module’s narrative are a series of investigations, each of which asks students to stop and consider one or more important issues. As students progress through the module they are introduced to chromatographic separations, solvent extractions, response surfaces, one-factor-at-a-time optimizations, central-composite designs, desirability functions, and spike recoveries.

This exercise is based loosely on work described in the paper

“Simultaneous extraction of hydrosoluble phenolic acids and liposoluble tanshinones from Salvia miltiorrhiza radix by an optimized microwave-assisted extraction method”

the full reference for which is Fang, X.; Wang, J; Zhang, S. Zhao, Q.; Zheng, Z.; and Song, Z. Sep. Purif. Technol. 2012, 86, 149-156 (DOI:10.1016/j.seppur.2011.10.039). Although most of the data in this exercise are drawn directly from or extrapolated from data in the original paper, additional data are drawn from other papers or generated artificially; specific details of differences between the data in the original paper and the data in this case study are included in the instructor’s manual.

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Developed by:

Dr. David Harvey
DePauw University
harvey@depauw.edu

Filed in: Contextual Modules

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