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Development of Analytical Methods

Development of Analytical Methods

An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...

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Updated: Sep 18, 2025

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods.

Gregory Janesch¹, Erik Tyler Carr², Sakuntala Sivasupramaniam³

¹Oak Ridge Affiliated Universities (ORAU) Student Services Contractor; Janesch.Gregory@epa.gov.

Journal of Visualized Experiments : Jove

|June 23, 2025

Summary

This summary is machine-generated.

This study created a searchable database of over 7,000 analytical methods, linking chemical identifiers to structures and spectra. This resource aids in finding and filtering chemical analysis methods for various applications.

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Area of Science:

Analytical Chemistry
Cheminformatics
Scientific Databases

Background:

Analytical methods vary in detail, from regulatory documents to vendor summaries.
Government agencies (e.g., USEPA, FDA) and instrument vendors provide extensive method information.
Accessing and utilizing this vast amount of method data is challenging.

Purpose of the Study:

To develop a cheminformatics-enabled database of analytical methods.
To facilitate the search and retrieval of chemical analysis methods.
To integrate chemical information with spectral data for enhanced usability.

Main Methods:

Developed a database extracting chemicals from method documents.
Mapped chemical identifiers (names, CASRN) to chemical structures.
Integrated approximately one million public domain spectra (LC/MS, GC/MS, NMR, IR).

Main Results:

Created a database containing approximately 7,000 analytical methods.
Database is searchable by chemical identifier, structure, and structural similarity.
Application allows filtering by analytes, usage, and method sources.

Conclusions:

The developed database provides a powerful, searchable resource for analytical methods.
Cheminformatics approach enables efficient retrieval and analysis of chemical method data.
Integration with spectral data enhances the utility for researchers and analysts.