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Related Concept Videos

Sample Preparation for Analysis: Overview01:21

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Sample preparation is an essential step in the analytical process. It involves preparing a sample so that it can be analyzed accurately. The goal is to extract the analyte, the substance you want to measure, from the sample while removing any components that may interfere with the analysis. Sample preparation techniques vary depending on the physical state of the sample.
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Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis
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Small-molecule bioanalytical sample preparation method development starting from the BASICS.

Ming Li1, Judy Chou1, Kristopher W King1

  • 1Biogen, 250 Binney Street, Cambridge, MA 02142, USA.

Bioanalysis
|September 18, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces an automation-assisted system for bioanalytical sample preparation, significantly reducing errors and labor. The system streamlines investigations of analytes and internal standards (IS), enhancing method development productivity.

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Area of Science:

  • Bioanalytical Chemistry
  • Pharmaceutical Analysis
  • Method Development

Background:

  • Systematic investigation of bioanalytical handling conditions for analytes and internal standards (IS) is crucial for robust small-molecule method development.
  • Current manual methods are labor-intensive, prone to errors, and inefficient.

Purpose of the Study:

  • To develop an automation-assisted system for systematic investigation of bioanalytical sample preparation.
  • To reduce labor and errors in method development for analytes and IS.

Main Methods:

  • Development of an automation-assisted system integrating experimental design.
  • Automation of wet laboratory procedures, data extraction, recovery/loss computation, graphing, and reporting.

Main Results:

  • The developed system automates the majority of wet laboratory work for systematic investigations.
  • Automated data processing, including recovery/loss computation, graphing, and reporting, is integrated.
  • Significant reduction in errors and labor associated with sample preparation method development.

Conclusions:

  • The automation-assisted system enhances efficiency in both wet chemistry experiments and data processing.
  • Overall productivity in bioanalytical sample preparation method development is significantly improved.
  • The system provides a robust solution for systematic investigation of analytes and IS.