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基于芯片的纳升液相色谱-飞行时间质谱是一种用于大规模高通量分析的高稳定性技术。

Chip-based nLC-TOF-MS is a highly stable technology for large-scale high-throughput analyses.

机构信息

Department of Chemistry, University of California Davis, Davis, CA 95616, USA.

出版信息

Anal Bioanal Chem. 2013 May;405(14):4953-8. doi: 10.1007/s00216-013-6908-z. Epub 2013 Mar 23.

Abstract

Many studies focused on the discovery of novel biomarkers for the diagnosis and treatment of disease states are facilitated by mass spectrometry-based technology. HPLC coupled to mass spectrometry is widely used; miniaturization of this technique using nano-liquid chromatography (LC)-mass spectrometry (MS) usually results in better sensitivity, but is associated with limited repeatability. The recent introduction of chip-based technology has significantly improved the stability of nano-LC-MS, but no substantial studies to verify this have been performed. To evaluate the temporal repeatability of chip-based nano-LC-MS analyses, N-glycans released from a serum sample were repeatedly analyzed using nLC-PGC-chip-TOF-MS on three non-consecutive days. With an average inter-day coefficient of variation of 4 %, determined on log10-transformed integrals, the repeatability of the system is very high. Overall, chip-based nano-LC-MS appears to be a highly stable technology, which is suitable for the profiling of large numbers of clinical samples for biomarker discovery.

摘要

许多研究都集中在基于质谱的技术,以发现用于疾病诊断和治疗的新型生物标志物。高效液相色谱与质谱联用被广泛应用;该技术的微型化,采用纳流液相色谱(LC)-质谱(MS),通常会提高灵敏度,但重复性有限。最近引入的芯片技术显著提高了纳 LC-MS 的稳定性,但尚未对此进行实质性研究。为了评估基于芯片的纳 LC-MS 分析的时间重复性,使用 nLC-PGC-chip-TOF-MS 在三个非连续的日子里,重复分析从血清样品中释放的 N-糖链。平均日内变异系数为 4%,在以对数转换积分后确定,系统的重复性非常高。总的来说,基于芯片的纳 LC-MS 似乎是一种高度稳定的技术,适用于对大量临床样本进行生物标志物发现的分析。

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Transl Res. 2012 Apr;159(4):290-302. doi: 10.1016/j.trsl.2012.01.020. Epub 2012 Feb 9.
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