Zhao Xiaoming, Metcalfe Chris D
Worsfold Water Quality Centre, Trent University, Peterborough, Ontario, Canada.
Anal Chem. 2008 Mar 15;80(6):2010-7. doi: 10.1021/ac701633m. Epub 2008 Feb 22.
Matrix effects are a great challenge for the quantitative analysis of environmental samples by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Signal suppression or enhancement can compromise the accuracy of analytical results. While matrix effects have been relatively well studied for applications of LC-MS/MS instrumentation with electrospray ionization, there have been relatively few studies to evaluate matrix effects when using atmospheric pressure chemical ionization (APCI) as the ion source. In this study, we determined the effects of sample matrix on the analysis of six neutral pharmaceuticals (i.e., caffeine, cotinine, carbamazepine and its major metabolite, carbamazepine-10,11-dihydrodiol, trimethoprim, and fluoxetine) in samples of municipal wastewater using LC-APCI-MS/MS and evaluated whether isotope-labeled internal standards can be used to compensate for matrix effects. The matrix effects were measured using postextraction spikes and postcolumn direct infusion, respectively. The results showed that the matrix in the extracts prepared from municipal wastewater enhanced the signals for four of the six analytes when using an APCI source. Without correction for signal enhancement, apparent recoveries of the analytes from wastewater samples were overestimated to levels as high as 178% of the spiked amount. Isotope-labeled compounds corrected for these overestimates that occurred as a result of interferences from the sample matrix.
基质效应是液相色谱 - 串联质谱法(LC-MS/MS)对环境样品进行定量分析时面临的巨大挑战。信号抑制或增强会影响分析结果的准确性。虽然对于采用电喷雾电离的LC-MS/MS仪器的应用,基质效应已得到相对充分的研究,但在使用大气压化学电离(APCI)作为离子源时,评估基质效应的研究相对较少。在本研究中,我们使用LC-APCI-MS/MS测定了样品基质对城市污水样品中六种中性药物(即咖啡因、可替宁、卡马西平及其主要代谢物卡马西平-10,11-二氢二醇、甲氧苄啶和氟西汀)分析的影响,并评估了同位素标记内标是否可用于补偿基质效应。分别使用萃取后加标和柱后直接进样的方法测量基质效应。结果表明,当使用APCI源时,城市污水制备的提取物中的基质增强了六种分析物中四种的信号。如果不校正信号增强,污水样品中分析物的表观回收率被高估至加标量的178%之高。同位素标记化合物校正了由于样品基质干扰而导致的这些高估。