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测定血浆中的 S-亚硝基谷胱甘肽:两种方法的比较。

Determination of S-nitrosoglutathione in plasma: comparison of two methods.

机构信息

Italian National Research Council-Istituto per i Processi Chimico-Fisici, Laboratory of Instrumental Analytical Chemistry, Via G. Moruzzi 1, Pisa, Italy.

出版信息

Talanta. 2010 Jun 15;81(4-5):1295-9. doi: 10.1016/j.talanta.2010.02.024. Epub 2010 Feb 13.

Abstract

In this work we compared the results of the GSNO determination in human plasma by two independent methods. The first method is based on the pre-column derivatization of GSNO thiolic part by p-hydroxymercury benzoate (PHMB) and followed by the determination of GS-PHMB product by reversed phase chromatography coupled to chemical vapour generation atomic fluorescence spectrometry (RPC-CVGAFS). The second method is based on RPC separation of GSNO from interfering compounds and the post-column, on-line enzymatic hydrolysis of GSNO by commercial gamma-glutamyl transferase (GGT) and fluorescence detection. Endogenous GSNO was determined only in plasma from blood sampled by syringe (not by Vacutainers) and ranged between 157 and 257nM on the basis of RPC-CVGAFS method, and between 90 and 225nM by RPC-FD method. There was a good correlation between the two methods (slope=1.06+/-0.09, R(2)=0.9543). RPC-CVGAFS method based on PHMB derivatization determined a GSNO concentration 60+/-20nM in excess with respect to RPC-FD method. Sampling issues connected with common blood sampling procedures like venipuncture and sampling in syringe or Vacutainers still introduce in GSNO analysis unknown factors, which require further investigations.

摘要

在这项工作中,我们比较了两种独立方法测定人血浆中 GSNO 的结果。第一种方法基于 GSNO 巯基部分与对羟基汞苯甲酸(PHMB)的柱前衍生,然后通过反相色谱与化学蒸气发生原子荧光光谱法(RPC-CVGAFS)测定 GS-PHMB 产物。第二种方法基于 GSNO 与干扰化合物的 RPC 分离,以及在线通过商业γ-谷氨酰转移酶(GGT)进行的 GSNO 酶促水解,以及荧光检测。仅在通过注射器(而非 Vacutainers)采集的血液血浆中测定内源性 GSNO,基于 RPC-CVGAFS 方法,其范围为 157 至 257nM,基于 RPC-FD 方法为 90 至 225nM。两种方法之间存在良好的相关性(斜率=1.06+/-0.09,R(2)=0.9543)。基于 PHMB 衍生化的 RPC-CVGAFS 方法测定的 GSNO 浓度比 RPC-FD 方法高 60+/-20nM。与常见的静脉穿刺和注射器或 Vacutainers 采血程序相关的采样问题仍然会给 GSNO 分析带来未知因素,这需要进一步研究。

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