Department of Analytical Chemistry, University of Valencia, Dr. Moliner 50, 46100 Burjassot, Valencia, Spain.
Department of Analytical Chemistry, University of Granada, 18071 Granada, Spain.
J Chromatogr A. 2015 Jan 30;1379:65-73. doi: 10.1016/j.chroma.2014.12.053. Epub 2014 Dec 24.
A method for the determination of parabens in human urine and serum by capillary liquid chromatography (cLC) with UV-Vis and mass spectrometry (MS) detection using methacrylate ester-based monolithic columns has been developed. The influence of composition of polymerization mixture was studied. The optimum monolith was obtained with butyl methacrylate monomer at 60/40% (wt/wt) butyl methacrylate/ethylene dimethacrylate ratio and 50wt% porogens (composed of 36wt% of 1,4-butanediol, 54wt% 1-propanol and 10wt% water). Baseline resolution of analytes was achieved through a mobile phase of acetonitrile/water in gradient elution mode. Additionally, dispersive liquid-liquid microextraction (DLLME) was combined with both cLC-UV-Vis and cLC-MS to achieve the determination of parabens in human urine and serum samples with very low limits of detection. Satisfactory intra- and inter-day repeatabilities were obtained in UV-Vis and MS detection, although the latter provided lower detection limits (up to 300-fold) than the UV-Vis detection. Recoveries for the target analytes from spiked biological samples ranged from 95.2% to 106.7%. The proposed methodology for the ultra-low determination of parabens in human urine and serum samples is simple and fast, the consumption of reagents is very low, and very small samples can be analyzed.
已开发出一种使用甲基丙烯酸酯酯基整体柱通过毛细管液相色谱(cLC)与紫外可见和质谱(MS)检测来测定人尿液和血清中对羟基苯甲酸酯的方法。研究了聚合混合物组成的影响。在 60/40%(wt/wt)甲基丙烯酸丁酯/乙二甲基丙烯酸酯比和 50wt%致孔剂(由 36wt%1,4-丁二醇、54wt%1-丙醇和 10wt%水组成)的条件下,获得了最佳整体柱。通过乙腈/水的流动相在梯度洗脱模式下实现了分析物的基线分离。此外,还将分散液液微萃取(DLLME)与 cLC-UV-Vis 和 cLC-MS 相结合,以实现对人尿液和血清样品中对羟基苯甲酸酯的测定,检测限非常低。尽管后者提供的检测限(低至 300 倍)低于 UV-Vis 检测,但在 UV-Vis 和 MS 检测中均获得了令人满意的日内和日间重复性。从加标生物样品中获得的目标分析物的回收率在 95.2%至 106.7%之间。用于人尿液和血清样品中超低测定对羟基苯甲酸酯的建议方法简单快速,试剂消耗非常低,并且可以分析非常小的样品。