4.8 Article

Polyurea-Modified Magnetic Particles with Versatile Probes for Chemoselective Capture of Carbonyl Metabolites and Biomarker Discovery

期刊

SMALL
卷 19, 期 1, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/smll.202204734

关键词

biomarkers; carbonyl metabolites; chemoselective capture; lung cancer; magnetic particles

向作者/读者索取更多资源

Researchers have developed a new method for the analysis of carbonyl metabolites using hydrazide-terminated polyurea-modified magnetic particles (HPMP), which have shown high capture ability and sensitivity. The HPMPs have been successfully applied in the quantitative analysis of metabolites in a large-scale serum sample, demonstrating their potential for accurate differentiation of patients with different health and disease conditions.
Playing a great role in human physiologies and pathologies, carbonyl metabolites are intimately associated with a variety of diseases, though the effective analysis method of them remains a challenge. A hydrazide-terminated polyurea-modified magnetic particle (HPMP) with versatile probes is developed to address this issue. The capture ability of HPMPs for carbonyl metabolite is more than 1200 mu mol g(-1), which is increased by 4 orders of magnitude via the introduction of polyurea. With a broad linear range of over 4 orders of magnitude, remarkably improved sensitivity, and limit of detection at attomole quantities, HPMPs are applied in relative quantification of more than 1500 carbonyl metabolites in 113 human serum samples with high throughput and high coverage. The combined indicators of these metabolites demonstrates a great diagnostic accuracy for distinguishing between health and disease subjects as well as differentiating the patients with benign lung disease and lung cancer. Combining powerful capture ability, low-cost preparation, and convenient operation, the HPMPs demonstrate extensive application in biomarker discovery and the detailed study of the biochemical landscape.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据