Automated offline µ-SPE cleanup in GC-based multi-residue analysis: overcoming the challenges of fatty acids containing matrices

Ivan Aloisi; Lisa Elsinga; Michel Willemsen; Hans Mol

doi:10.1039/d6an00462h

January 1, 2026The AnalystOpen Access

Automated offline µ-SPE cleanup in GC-based multi-residue analysis: overcoming the challenges of fatty acids containing matrices

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Key Points

This work aims to optimize automated offline µ-SPE cleanup for GC analysis of pesticides in fatty acid matrices.
Investigated offline automated µ-SPE cleanup methods.
Analyzed GC-amenable pesticides in complex fatty acid matrices.
Evaluated method optimization for improved analysis efficiency.
Demonstrated significant reduction in matrix interferences during pesticide analysis.
Achieved enhanced recovery rates of GC-amenable pesticides.
Provided optimized protocols for analyzing pesticides in challenging samples.

Implication

Investigates automated cleanup effectiveness for analyzing pesticides in fatty acid matrices, indicating improved efficiency.

Abstract

The aim of this work was to investigate and optimize the use of offline automated µ-SPE cleanup for the analysis of GC-amenable pesticides in fatty acids containing matrices, such as...

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Aloisi et al. (2026) studied this question.

synapsesocial.com/papers/6a34dec865a5b0777af2e149 https://doi.org/10.1039/d6an00462h

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Automated offline µ-SPE cleanup in GC-based multi-residue analysis: overcoming the challenges of fatty acids containing matrices

Key Points

Implication

Abstract

Discussion

Cite This Study

Automated offline µ-SPE cleanup in GC-based multi-residue analysis: overcoming the challenges of fatty acids containing matrices

Key Points

Implication

Abstract

Discussion

Cite This Study

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