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用于血液中多种小分子神经递质和神经肽的液相色谱-质谱平台,具备自动且稳定的固相萃取功能。

Liquid chromatography-mass spectrometry platform for both small neurotransmitters and neuropeptides in blood, with automatic and robust solid phase extraction.

作者信息

Johnsen Elin, Leknes Siri, Wilson Steven Ray, Lundanes Elsa

机构信息

Department of Chemistry, University of Oslo, PO Box 1033, Blindern, NO-0315, Oslo, Norway.

1] Department of Psychology, University of Oslo, PO Box 1094, Blindern, NO-0317, Oslo, Norway [2] The Intervention Centre, Oslo University Hospital, PO Box 4950 Nydalen, NO-0424 Oslo, Norway.

出版信息

Sci Rep. 2015 Mar 20;5:9308. doi: 10.1038/srep09308.

Abstract

Neurons communicate via chemical signals called neurotransmitters (NTs). The numerous identified NTs can have very different physiochemical properties (solubility, charge, size etc.), so quantification of the various NT classes traditionally requires several analytical platforms/methodologies. We here report that a diverse range of NTs, e.g. peptides oxytocin and vasopressin, monoamines adrenaline and serotonin, and amino acid GABA, can be simultaneously identified/measured in small samples, using an analytical platform based on liquid chromatography and high-resolution mass spectrometry (LC-MS). The automated platform is cost-efficient as manual sample preparation steps and one-time-use equipment are kept to a minimum. Zwitter-ionic HILIC stationary phases were used for both on-line solid phase extraction (SPE) and liquid chromatography (capillary format, cLC). This approach enabled compounds from all NT classes to elute in small volumes producing sharp and symmetric signals, and allowing precise quantifications of small samples, demonstrated with whole blood (100 microliters per sample). An additional robustness-enhancing feature is automatic filtration/filter back-flushing (AFFL), allowing hundreds of samples to be analyzed without any parts needing replacement. The platform can be installed by simple modification of a conventional LC-MS system.

摘要

神经元通过称为神经递质(NTs)的化学信号进行通信。众多已确定的神经递质可能具有非常不同的物理化学性质(溶解度、电荷、大小等),因此传统上对各种神经递质类别的定量需要几种分析平台/方法。我们在此报告,使用基于液相色谱和高分辨率质谱(LC-MS)的分析平台,可以在小样本中同时识别/测量多种神经递质,例如肽类催产素和加压素、单胺类肾上腺素和血清素,以及氨基酸类γ-氨基丁酸(GABA)。该自动化平台具有成本效益,因为手动样品制备步骤和一次性使用设备被保持在最低限度。两性离子亲水相互作用色谱(HILIC)固定相用于在线固相萃取(SPE)和液相色谱(毛细管形式,cLC)。这种方法使所有神经递质类别的化合物能够以小体积洗脱,产生尖锐且对称的信号,并允许对小样本进行精确定量,全血样本(每个样本100微升)证明了这一点。另一个增强稳健性的功能是自动过滤/滤器反冲洗(AFFL),允许在无需更换任何部件的情况下分析数百个样本。该平台可以通过对传统LC-MS系统进行简单修改来安装。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c4/5380133/010bfda7d708/srep09308-f1.jpg

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