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Updated: Jun 1, 2026

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures
Published on: January 7, 2019
A method for quantitatively differentiating crude natural extracts using high-performance liquid
R K Julian1, R E Higgs, J D Gygi
1Natural Products Research and Development, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana 46285.
This study introduces a new method using HPLC-ESI-MS to quantitatively differentiate natural extracts. This technique assesses chemical diversity in natural product libraries for drug discovery.
Area of Science:
- Analytical Chemistry
- Natural Product Chemistry
- Mass Spectrometry
Background:
- Natural product extracts are crucial for drug discovery.
- Quantitatively assessing the chemical diversity of these extracts is challenging.
- High-throughput screening requires high-quality, diverse compound libraries.
Purpose of the Study:
- To develop and validate a method for quantitatively differentiating crude natural extracts.
- To establish a reliable metric for assessing chemical diversity in natural extract libraries.
- To improve the quality control of natural product libraries for drug discovery.
Main Methods:
- Utilized high-performance liquid chromatography-electrospray mass spectrometry (HPLC-ESI-MS) with reversed-phase C18 gradient separation.
- Employed a dual-column HPLC system for enhanced throughput.
- Applied image analysis to reduce HPLC-MS data into m/z and retention time ion lists.
- Developed a pairwise comparison method to calculate a sample similarity index (0-1) based on common ions.
Main Results:
- The HPLC-ESI-MS method successfully generated comparable ion lists for crude natural extracts.
- A sample similarity index was computed, showing high similarity (0.8) for replicate samples.
- Analysis of 88 fungal extracts revealed a distribution of similarity indices, indicating varying chemical diversity.
- Control samples confirmed column and spectrometer stability and overall method sensitivity.
Conclusions:
- The developed HPLC-ESI-MS method provides a quantitative measure for differentiating natural extracts.
- The sample similarity index is a valuable tool for assessing chemical diversity and quality of natural extract libraries.
- This approach aids in selecting optimal libraries for high-throughput drug discovery screening.
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