School of Life Sciences, University of Sussex, Brighton BN1 9QG, UK; School of Geography, Earth and Environmental Science, University of Birmingham, Edgbaston B15 2TT, UK.
School of Life Sciences, University of Sussex, Brighton BN1 9QG, UK.
Talanta. 2018 May 15;182:380-390. doi: 10.1016/j.talanta.2018.01.084. Epub 2018 Feb 5.
Liquid chromatography-electrospray ionisation-mass spectrometry (LC-ESI-MS) platforms are widely used to perform high throughput untargeted profiling of biological samples for metabolomics-based approaches. However, these LC-ESI platforms usually favour the detection of metabolites present at relatively high concentrations because of analytical limitations such as ion suppression, thus reducing overall sensitivity. To counter this issue of sensitivity, the latest in terms of analytical platforms can be adopted to enable a greater portion of the metabolome to be analysed in a single analytical run. Here, nanoflow liquid chromatography-nanoelectrospray ionisation (nLC-nESI), which has previously been utilised successfully in proteomics, is explored for use in metabolomic and exposomic research. As a discovery based field, the markedly increased sensitivity of these nLC-nESI platforms offer the potential to uncover the roles played by low abundant signalling metabolites (e.g. steroids, eicosanoids) in health and disease studies, and would also enable an improvement in the detection of xenobiotics present at trace levels in biological matrices to better characterise the chemical exposome. This review aims to give an insight into the advantages associated with nLC-nESI for metabolomics-based approaches. Initially we detail the source of improved sensitivity prior to reviewing the available approaches to achieving nanoflow rates and nanospray ionisation for metabolomics. The robustness of nLC-nESI platforms was then assessed using the literature available from a metabolomic viewpoint. We also discuss the challenging point of sample preparation which needs to be addressed to fully enjoy the benefits of these nLC-nESI platforms. Finally, we assess metabolomic analysis utilising nano scale platforms and look ahead to the future of metabolomics using these new highly sensitive platforms.
液相色谱-电喷雾电离-质谱(LC-ESI-MS)平台广泛用于进行高通量非靶向生物样品分析,以进行基于代谢组学的方法研究。然而,由于分析限制,如离子抑制,这些 LC-ESI 平台通常更有利于检测相对浓度较高的代谢物,从而降低整体灵敏度。为了解决这个灵敏度问题,可以采用最新的分析平台,以便在单次分析运行中分析更大比例的代谢组。在这里,我们探索了纳流液相色谱-纳电喷雾电离(nLC-nESI)在代谢组学和暴露组学研究中的应用,该技术先前已成功应用于蛋白质组学领域。作为一个基于发现的领域,这些 nLC-nESI 平台的显著提高的灵敏度有可能揭示低丰度信号代谢物(如类固醇、类花生酸)在健康和疾病研究中的作用,并能提高对生物基质中痕量存在的外源性物质的检测,从而更好地描述化学暴露组。本文旨在深入了解 nLC-nESI 对基于代谢组学方法的优势。首先,我们详细介绍了提高灵敏度的来源,然后综述了实现纳流和纳喷雾电离的方法。接着,从代谢组学的角度评估了 nLC-nESI 平台的稳健性。我们还讨论了样品制备这一挑战性问题,需要解决该问题才能充分利用这些 nLC-nESI 平台的优势。最后,我们评估了利用纳米尺度平台进行代谢组学分析,并展望了这些新的高灵敏度平台在代谢组学中的未来应用。