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用于测定巨噬细胞中亚硝酸盐以作为一氧化氮产生指标的电化学检测微芯片电泳方法的优化。

Optimization of a microchip electrophoresis method with electrochemical detection for the determination of nitrite in macrophage cells as an indicator of nitric oxide production.

作者信息

Siegel Joseph M, Schilly Kelci M, Wijesinghe Manjula B, Caruso Giuseppe, Fresta Claudia G, Lunte Susan M

机构信息

Department of Chemistry, University of Kansas, Lawrence, KS, USA.

Ralph N. Adams Institute for Bioanalytical Chemistry, University of Kansas, Lawrence, KS, USA.

出版信息

Anal Methods. 2019 Jan 14;11(2):148-156. doi: 10.1039/C8AY02014K. Epub 2018 Nov 26.

Abstract

Nitric oxide (NO) is involved in many biological functions, including blood pressure regulation, the immune response, and neurotransmission. However, excess production of NO can lead to the generation of reactive nitrogen species and nitrosative stress and has been linked to several neurodegenerative diseases and cardiovascular disorders. Because NO is short-lived and generally difficult to detect, its primary stable degradation product, nitrite, is frequently monitored in its place. In this paper, an improved method using microchip electrophoresis with electrochemical detection (ME-EC) was developed for the separation and detection of nitrite in cell lysates. A separation of nitrite from several electroactive cell constituents and interferences was optimized, and the effect of sample and buffer conductivity on peak efficiency was explored. It was found that the addition of 10 mM NaCl to the run buffer caused stacking of the nitrite peak and improved limits of detection. A platinum black working electrode was also evaluated for the detection of nitrite and other electroactive cellular species after electrophoretic separation. The use of a modified platinum working electrode resulted in 2.5-, 1.7-, and 7.2-fold signal enhancement for nitrite, ascorbic acid, and hydrogen peroxide, respectively, and increased the sensitivity of the method for nitrite twofold. The optimized ME-EC method was used to compare nitrite production by native and lipopolysaccharide-stimulated RAW 264.7 macrophage cells.

摘要

一氧化氮(NO)参与多种生物学功能,包括血压调节、免疫反应和神经传递。然而,NO的过量产生会导致活性氮物种的生成和亚硝化应激,并与多种神经退行性疾病和心血管疾病有关。由于NO寿命短且通常难以检测,其主要稳定降解产物亚硝酸盐常被用来替代监测。本文开发了一种改进的方法,即采用微芯片电泳结合电化学检测(ME-EC)来分离和检测细胞裂解物中的亚硝酸盐。优化了亚硝酸盐与几种电活性细胞成分及干扰物的分离,探讨了样品和缓冲液电导率对峰效率的影响。结果发现,在运行缓冲液中添加10 mM NaCl会导致亚硝酸盐峰堆积并改善检测限。还评估了铂黑工作电极用于电泳分离后亚硝酸盐和其他电活性细胞物质的检测。使用修饰的铂工作电极分别使亚硝酸盐、抗坏血酸和过氧化氢的信号增强了2.5倍、1.7倍和7.2倍,并使该方法对亚硝酸盐的灵敏度提高了两倍。优化后的ME-EC方法用于比较天然和脂多糖刺激的RAW 264.7巨噬细胞产生亚硝酸盐的情况。

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