Maximizing sensitivity and selectivity in LC × LC-HRMS for pesticide analysis via exploitation of per-aqueous liquid chromatography

Accurate monitoring of pesticide residues at minimal concentrations is imperative for adherence to stringent regulatory standards in numerous countries. This study presents an innovative methodology employing comprehensive two-dimensional liquid chromatography coupled with high-resolution mass spectrometry (LC × LC-HRMS). The approach ensures high sensitivity and selectivity in detecting targeted compounds. A pivotal component of this methodology is the utilization of per-aqueous liquid chromatography (PALC) as the first dimension, facilitating the use of water-based mobile phases and addressing solvent mismatch issues. The second dimension employs reversed-phase liquid chromatography (RPLC), enhancing the separation of compounds. PALC proves instrumental in refocusing and enables the practical application of narrow-diameter columns (1.5 mm I.D.). This column design permits a direct split-free connection of the LC × LC to an electrospray-based mass spectrometer (ESI-MS), contributing to heightened sensitivity. The MS acquisition is performed in a targeted single-ion monitoring mode, ensuring reliable quantification and identification of the pesticide compounds. A comprehensive evaluation of key performance metrics, including signal-to-noise ratio, limit of detection, and response linearity, is conducted. The methodology achieves a limit of detection below the ng mL⁻¹ and exhibits response linearity within the concentration range of 1–100 ng mL⁻¹. The robustness of the approach is further demonstrated through intra-day and inter-day repeatability validations. Furthermore, the platform is finally tested on a surface water sample. This study not only introduces an advanced analytical methodology for pesticide multi-residue analysis but also underscores the significance of PALC in enhancing sensitivity by facilitating the use of smaller-diameter columns and water-based mobile phases, along with the role of RPLC in enhancing separation. The proposed approach showcases promising results in achieving detection limits that match the stringent regulatory standards and reliable quantification for effective pesticide residue monitoring.