化学
色谱法
固相微萃取
质谱法
再现性
电喷雾电离
检出限
样品制备
分析物
电喷雾
萃取(化学)
分析化学(期刊)
气相色谱-质谱法
作者
Milaan Thirukumaran,Varoon Singh,Yohei Arao,Yuka Fujito,Masayuki Nishimura,Takeshi Ogura,Janusz Pawliszyn
出处
期刊:Talanta
[Elsevier]
日期:2021-08-01
卷期号:231: 122317-122317
被引量:18
标识
DOI:10.1016/j.talanta.2021.122317
摘要
Probe electrospray ionization (PESI) is an ambient ionization mass spectrometry technique (AIMS) that is primarily used in qualitative studies, though researchers have recently combined it with sample preparation for the quantitative analysis of various analytes in biological matrices. This study presents a method that integrates solid-phase microextraction with PESI for direct coupling to a triple quadrupole mass spectrometer, and examines its ability to quantitate drugs of abuse. Intra- and inter-probe reproducibility experiments were conducted to assess the stability and reproducibility of the extraction-phase-coated PESI probes (coating length: 2 mm; coating thickness: 6.5 μm). This research is the first documented instance wherein highly sensitive determinations were successfully attained using these microextraction and micro-desorption techniques in conjunction with small volumes of sample and extraction phase. A mixture consisting of IPA/H2O (1/1 v/v) + 0.1% FA was determined to be the optimal desorption solvent for SPME-PESI-MS/MS, as it facilitated high analyte enrichment in a picolitre of the solvent, which acted at the same time as efficient electrospray media. Furthermore, a method of quantifying drugs of abuse in 30 μL of plasma without matrix modification was also developed. This method had an intra-day accuracy within the 80–120% range for all eight drugs of abuse at concentrations of 3, 30, and 90 pg μL−1; the exception to this result was lorazepam at 30 pg μL−1, which had an intra-day accuracy of 122%. The lower limit of quantification (LLOQ) for fentanyl and nordiazepam was pg μL−1; the LLOQ for buprenorphine, codeine, diazepam, lorazepam, and propranolol was 5 pg μL−1; and the LLOQ of oxazepam was 10 pg μL−1.
科研通智能强力驱动
Strongly Powered by AbleSci AI