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A Simple Method for Automated Solid Phase Extraction of Water Samples for Immunological Analysis of Small Pollutants

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New practical algorithm for modelling analyte recovery in bioanalytical reversed phase and mixed-mode solid phase

G Hendriks¹, D R A Uges, J P Franke

¹PRA International, Early Development Services, P.O. Box 200, 9407AE Zuidlaren, The Netherlands. HendriksGert@PRAintl.com

Journal of Pharmaceutical and Biomedical Analysis

|June 27, 2008

Summary

This summary is machine-generated.

A new algorithm models solid phase extraction (SPE) behavior, predicting analyte recovery for optimized sample preparation. This method accurately forecasts elution under varied conditions, enhancing bioanalytical method development.

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Area of Science:

Analytical Chemistry
Chromatography

Background:

Solid phase extraction (SPE) is crucial for bioanalytical sample preparation.
Existing retention models are limited for ionized species, complex elution steps, and mixed-mode SPE sorbents.

Purpose of the Study:

To develop a novel SPE modeling algorithm overcoming limitations of previous methods.
To accurately predict analyte recovery and band shape under diverse SPE conditions.

Main Methods:

Developed an online HPLC-SPE system for direct retention behavior determination.
Employed a quadratic retention function and an exponentially modified Gaussian peak model.
Validated the algorithm using aqueous mixtures and spiked human plasma with varied wash/elution steps.

Main Results:

The proposed algorithm accurately predicted analyte recovery and band shape.
Model predictions showed good agreement with experimental SPE results.
Demonstrated applicability to mixed-mode SPE and complex elution protocols.

Conclusions:

The new algorithm effectively describes SPE analyte behavior on cartridges.
This tool is valuable for optimizing SPE methods in structural and automated development.
Enhances accuracy and efficiency in bioanalytical sample preparation.