Suppr超能文献

使用元素质谱法进行临床生物标志物定量的信号放大策略。

Signal amplification strategies for clinical biomarker quantification using elemental mass spectrometry.

作者信息

Larraga-Urdaz Andrea L, Sanchez Maria L Fernandez, Encinar Jorge Ruiz, Costa-Fernandez Jose M

机构信息

Department of Physical and Analytical Chemistry, University of Oviedo, Avda. Julian Claveria, 8, 33006, Oviedo, Spain.

出版信息

Anal Bioanal Chem. 2022 Jan;414(1):53-62. doi: 10.1007/s00216-021-03251-5. Epub 2021 Mar 5.

Abstract

The current trends in modern medicine towards early diagnosis, or even prognosis, of different diseases have brought about the need for the corresponding biomarker detection at ever lower levels in really complex matrices. To do so, it is necessary to use proper extremely sensitive detection techniques such as elemental mass spectrometry. However, target labelling with metals for subsequent sensitive ICP-MS detection falls short nowadays even if resorting to inorganic nanoparticles containing a high number of detectable elements. Thus, new amplification strategies are being proposed to face this analytical challenge that will be critically discussed in this paper. Fundamentals of different novel strategies developed to achieve signal amplification and sensitive elemental mass spectrometry detection are here discussed. Some representative examples of relevant clinical applications are highlighted, along with future prospects and challenges.

摘要

现代医学中针对不同疾病进行早期诊断甚至预后判断的当前趋势,使得在真正复杂的基质中以越来越低的水平进行相应生物标志物检测成为必要。为此,有必要使用适当的极其灵敏的检测技术,如元素质谱法。然而,即便采用含有大量可检测元素的无机纳米颗粒,如今通过金属进行靶标标记以用于后续灵敏的电感耦合等离子体质谱检测仍存在不足。因此,人们正在提出新的扩增策略来应对这一分析挑战,本文将对此进行批判性讨论。本文讨论了为实现信号放大和灵敏的元素质谱检测而开发的不同新颖策略的基本原理。文中突出了一些相关临床应用的代表性实例,以及未来前景和挑战。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验