Luo Guanzhong, Li Youxin, Bao James J
Tianjin Key Laboratory for Modern Drug Delivery and High-Efficiency, School of Pharmaceutical Science and Technology, Tianjin University, 92 Weijin Road, Nankai District, Tianjin, 300072, China.
Tianjin Product Quality Inspection Technology Research Institute, 26, Kaihua Road, Huayuan Industrial Area, Tianjin, China.
Anal Bioanal Chem. 2016 Feb;408(4):1137-49. doi: 10.1007/s00216-015-9213-1. Epub 2016 Jan 6.
A novel high-throughput sample pretreatment system was developed by the integration of protein precipitation (PP), phospholipid removal (PPR), and hollow fiber liquid-phase microextraction (HF-LPME) into two simple 96-well plates and a matching 96-grid lid. With this system, 16 steroids were separated from biological matrices of plasma, milk, and urine and analyzed by liquid chromatography-triple quadrupole mass spectrometry. In the tandem sample cleanup process, the prepositive PP and PPR step preliminarily removed some of the interferences from the biological matrices. The following HF-LPME step kept the residual interference out of the hollow fiber and enriched the steroids in the hollow fiber to achieve high sensitivity. By a series of method optimizations, acetonitrile was chosen as the crash solvent for PP and PPR. A mixture of octanol and toluene (1:1 v/v) was used as the acceptor phase for HF-LPME. The extraction was conducted at 80 rpm for 50 min in a donor phase containing 1 mL 20% sodium chloride at 25 °C. Under these conditions, the limits of detection for the 16 steroids were 3.6-300.0 pg(.)mL(-1) in plasma, 3.0-270.0 pg·mL(-1) in milk, and 2.2-210.0 pg(.)mL(-1) in urine. The recoveries of the 16 steroids were 81.9-97.9% in plasma (relative standard deviation 1.0-8.0%), 80.6-97.7% in milk (relative standard deviation 0.8-5.4%), and 87.3-98.7% in urine (relative standard deviation 1.0-4.9%). Further, the integrated 96-well platform of PP, PPR, and HF-LPME enabled us to run this assay in an automatic and high-throughput fashion. The reliability of the method was further corroborated by evaluation of its applicability in plasma and urine samples from volunteers and fresh bovine milk from local dairy enterprises.
通过将蛋白质沉淀(PP)、磷脂去除(PPR)和中空纤维液相微萃取(HF-LPME)集成到两个简单的96孔板和一个匹配的96格盖子中,开发了一种新型高通量样品预处理系统。利用该系统,从血浆、牛奶和尿液的生物基质中分离出16种类固醇,并通过液相色谱-三重四极杆质谱进行分析。在串联样品净化过程中,前置的PP和PPR步骤初步去除了生物基质中的一些干扰物。随后的HF-LPME步骤将残留干扰物挡在中空纤维之外,并在中空纤维中富集类固醇以实现高灵敏度。通过一系列方法优化,选择乙腈作为PP和PPR的沉淀溶剂。使用正辛醇和甲苯的混合物(1:1 v/v)作为HF-LPME的接受相。在25℃下,于含有1 mL 20%氯化钠的供体相中,以80 rpm的转速进行50分钟的萃取。在这些条件下,16种类固醇在血浆中的检测限为3.6 - 300.0 pg·mL⁻¹,在牛奶中为3.0 - 270.0 pg·mL⁻¹,在尿液中为2.2 - 210.0 pg·mL⁻¹。16种类固醇在血浆中的回收率为81.9% - 97.9%(相对标准偏差1.0% - 8.0%),在牛奶中为80.6% - 97.7%(相对标准偏差0.8% - 5.4%),在尿液中为87.3% - 98.7%(相对标准偏差1.0% - 4.9%)。此外,PP、PPR和HF-LPME集成的96孔平台使我们能够以自动且高通量的方式进行该检测。通过评估其在志愿者血浆和尿液样本以及当地乳制品企业新鲜牛乳中的适用性,进一步证实了该方法的可靠性。