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Impact of injection solvent composition on 90 pesticides by LC-MS/MS: A data-driven framework for initial method
Abderrahim Eddahby1, Abdelkarim Chahine1, Lahcen Hssaini2
1Laboratory of Advanced Materials and Process Engineering (LAMPE), Faculty of Sciences, Ibn Tofaïl University, P.O. Box 133, 14000, Kénitra, Morocco.
Journal of Chromatography. A
|September 7, 2025
Summary
Optimizing injection solvent composition in liquid chromatography-tandem mass spectrometry (LC-MS/MS) significantly impacts pesticide analysis. Highly aqueous solvents enhance polar pesticide signals, while higher organic content benefits non-polar compounds.
Area of Science:
- Analytical Chemistry
- Environmental Science
- Forensic Science
Background:
- Injection solvent composition is a critical, yet often overlooked, factor in LC-MS/MS.
- Accurate pesticide quantification relies on understanding solvent effects on chromatography and ionization.
Purpose of the Study:
- To systematically evaluate the influence of injection solvent composition on pesticide analysis using LC-MS/MS.
- To determine optimal injection solvent ratios for diverse pesticide polarities.
Main Methods:
- Analysis of 90 pesticides using solvent-based standards in LC-MS/MS.
- Comparison of acetonitrile/water and acetonitrile/buffered mobile phase mixtures at various ratios (10/90 to 50/50 v/v).
- Focus on chromatographic and ionization effects, excluding matrix effects.
Main Results:
- Polar pesticides showed enhanced signals (up to 14-fold) in highly aqueous solvents due to on-column focusing.
- Non-polar pesticides required higher organic content for optimal solubility and response.
- A 30/70 acetonitrile/aqueous ratio proved effective for mid-polarity compounds.
- ANOVA confirmed significant impact of solvent ratio on MS response (p < 0.001).
Conclusions:
- Injection solvent selection is crucial for enhancing sensitivity and chromatographic integrity in pesticide LC-MS/MS.
- Guidelines are provided for optimizing injection solvents during method development.
- This foundational study aids in improving multi-residue pesticide analysis accuracy.
Keywords:
Acetonitrile solvent mixturesIonization enhancementLC-MS/MSMobile phase optimizationPesticide residue analysis
