Mitigating Matrix Effects in Groundwater: A Simple and Versatile Method for Quantifying Contaminants in Groundwater Using Online SPE-UHPLC-MS/MS

Ricardo Mathias Orlando,Rodinei Augusti,Adriana Nori de Macedo,Mariana Ramos Almeida,Zenilda de Lourdes Cardeal,Helvecio C. Menezes, Claudia Carvalhinho Windmoeller, Cyntia Cabral Ribeiro, Millena Christie Ferreira Avelar, Marina Caneschi de Freitas, Lucas Pinto da Silva,Jose Messias Gomes, Julia Celia Lima Gomes, Julia Vasconcellos Augusti, Barbara Oliveira Lopes, Nathalia de Oliveira Melo, Luciene Paiva Moreira da Silva, Denise Versiane Monteiro de Sousa

ACS ES&T water(2023)

引用 0|浏览2
暂无评分
摘要
This manuscript describes a novel and simple strategy for optimizing the determination of contaminants in groundwater using online solid-phase extraction (SPE) coupled with ultrahigh-performance liquid chromatography (UHPLC) and tandem mass spectrometry (MS/MS). The methodology optimization process considered several factors: analyte sorption in the syringe filter material, SPE conditions for effective cleanup, maximum injection volume, and spiking samples with additives to mitigate matrix effects. Matrix effects posed the greatest challenge, which was addressed by adding a few microliters of additives (citric acid and hydroxylamine) directly into the groundwater samples. This simple yet advantageous approach was also demonstrated with UHPLC coupled to high-resolution mass spectrometry without employing SPE. Under the optimized conditions, ten contaminants were evaluated, yielding excellent results at detected levels ranging from parts per billion (ppb) to parts per trillion (ppt), even without using isotopically labeled internal standards. These findings highlight the importance of investigating possible experimental issues that have a critical influence on the performance of analytical protocols. Finally, this work provides valuable insights for other researchers working on LC-MS/MS methods for determining organic contaminants in groundwater.
更多
查看译文
关键词
Mass spectrometry optimization,Water quality assessment,Experimental additives,Matrix interference,Analytical variability
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要