Quantification of lactate in synovia by microchip with contactless conductivity detection

• Published in: Analytical biochemistry Vol. 434; no. 1; pp. 73 - 77
• Main Authors: Song, Zhirui, Xu, Yue, Chen, Zuanguang, Yang, Jianping, Li, Xinchun, Zhang, Zhiguang
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.03.2013
• Subjects: Adolescent; Adult; Capillary electrophoresis; cetyltrimethylammonium bromide; Contactless conductivity detection; correlation; detection limit; Electric Conductivity; Electrophoresis, Microchip - instrumentation; Electrophoresis, Microchip - methods; high performance liquid chromatography; Humans; hydrochloric acid; Lactate; lactates; Lactic Acid - analysis; Microchip; Middle Aged; quantitative analysis; Synovia; Synovial Fluid - metabolism; Young Adult; Contactless conductivity detection; Lactate; Microchip; Capillary electrophoresis; Synovia
• ISSN: 0003-2697; 1096-0309
• DOI: 10.1016/j.ab.2012.11.006

This article describes the determination of lactate in synovia by microchip capillary electrophoresis (MCE) integrated with contactless conductivity detection (CCD). The optimal running buffer consists of 10mM tris(hydroxymethyl)aminomethane, 1mM HCl, and 0.1mM hexadecyltrimethylammonium bromide (pH 9.1). The quantitative measurement of lactate in dilute synovia samples can be finished in less than 40s. The results indicated that the peak area had a good linear relationship with lactate concentration in the range of 20 to 1000μM, and the correlation coefficient was 0.9984. The average recovery was from 96.6% to 106.1%, and the interday relative standard deviation was less than 4.0% (n=6). The limit of detection (signal/noise=3) reached 6.5μM. To validate the assay results, we compared the current method with the high-performance liquid chromatography method by measuring lactate in synovia samples. The data analysis verified that there was no significant difference between the two methods. Due to significant features such as low cost, integration, and miniaturization, the MCE–CCD method may have great potential in clinical diagnosis.