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'Polymeromics': Mass spectrometry based strategies in polymer science toward complete sequencing approaches: A review

机译:“高分子组学”:高分子科学中基于质谱的策略朝向完整的测序方法:综述

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Mass spectrometry (MS) is the most versatile and comprehensive method in "OMICS" sciences (i.e. in proteomics, genomics, metabolomics and lipidomics). The applications of MS and tandem MS (MS/MS or MS") provide sequence information of the full complement of biological samples in order to understand the importance of the sequences on their precise and specific functions. Nowadays, the control of polymer sequences and their accurate characterization is one of the significant challenges of current polymer science. Therefore, a similar approach can be very beneficial for characterizing and understanding the complex structures of synthetic macromolecules. MS-based strategies allow a relatively precise examination of polymeric structures (e.g. their molar mass distributions, monomer units, side chain sub-stituents, end-group functionalities, and copolymer compositions). Moreover, tandem MS offer accurate structural information from intricate macromolecular structures; however, it produces vast amount of data to interpret. In "OMICS" sciences, the software application to interpret the obtained data has developed satisfyingly (e.g. in proteomics), because it is not possible to handle the amount of data acquired via (tandem) MS studies on the biological samples manually. It can be expected that special software tools will improve the interpretation of (tandem) MS output from the investigations of synthetic polymers as well. Eventually, the MS/MS field will also open up for polymer scientists who are not MS-specialists. In this review, we dissect the overall framework of the MS and MS/MS analysis of synthetic polymers into its key components. We discuss the fundamentals of polymer analyses as well as recent advances in the areas of tandem mass spectrometry, software developments, and the overall future perspectives on the way to polymer sequencing, one of the last Holy Grail in polymer science.
机译:质谱(MS)是“ OMICS”科学(即蛋白质组学,基因组学,代谢组学和脂质组学)中用途最广泛,最全面的方法。 MS和串联MS(MS / MS或MS“)的应用提供了完整的生物样品的序列信息,以了解序列在其精确和特定功能上的重要性。准确的表征是当前聚合物科学的重大挑战之一,因此,类似的方法对于表征和理解合成大分子的复杂结构可能非常有益。基于质谱的策略可以相对精确地检查聚合物的结构(例如其摩尔质量)。分布,单体单元,侧链取代基,端基官能团和共聚物组成)。此外,串联质谱可从复杂的大分子结构中提供准确的结构信息;但是,它产生了大量可解释的数据。 ,用于解释获得的数据的软件应用程序已经令人满意地开发了(例如,在proteo中麦克风),因为无法手动处理通过(串联)MS研究获得的有关生物样品的数据量。可以预期,特殊的软件工具也将改善合成聚合物研究中对(串联)质谱分析结果的解释。最终,MS / MS领域也将为非MS专家的高分子科学家打开。在这篇综述中,我们将合成聚合物的MS和MS / MS分析的总体框架分解为关键组成部分。我们讨论了聚合物分析的基础知识,以及串联质谱,软件开发以及聚合物测序方法(聚合物科学中的最后一个圣杯)的整体未来前景等方面的最新进展。

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