Literature DB >> 29343057

Cu-T1 Sensor for Versatile Analysis.

Mingling Dong1,2, Wenshu Zheng2, Yiping Chen2, Bei Ran1,2, Zhiyong Qian1, Xingyu Jiang2,3.   

Abstract

Conventional magnetic sensors usually employ Fe-based magnetic materials as signal probes. In this work, we find that Cu(II) is also a useful longitudinal relaxation time (T1) signal-based magnetic probe. We adopt bathocuproinedisulfonic acid disodium salt hydrate (BCS) to chelate Cu(I) and form a stable Cu(I)-BCS complex in aqueous solution and find the significant difference in the T1 value of water protons between Cu(II) aqueous solution and Cu(I)-BCS complex aqueous solution. Redox reaction can convert Cu(II) to Cu(I) followed by the complexation of BCS, which results in apparent change of T1 that can serve as magnetic signal readout, which is the basis of this Cu-T1 sensor. Many redox reactions between Cu(II) and Cu(I) allow this Cu-T1 sensor to not only realize "one-step mode" assay such as ascorbic acid, protein, and alkaline phosphatase but also enable "multi-step mode" immunoassay, such as biomacromolecules and small molecules. This Cu-T1 sensor employs Cu ion as signal readout, providing an alternative tool for biochemical analysis.

Entities:  

Year:  2018        PMID: 29343057     DOI: 10.1021/acs.analchem.7b04971

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  2 in total

1.  Three-dimensional assembly and disassembly of Fe3O4-decorated porous carbon nanocomposite with enhanced transversal relaxation for magnetic resonance sensing of bisphenol A.

Authors:  Zhou Xu; Rong Wang; Yanqiu Chen; Maolong Chen; Jian Zhang; Yunhui Cheng; Jianguo Xu; Wei Chen
Journal:  Mikrochim Acta       Date:  2021-02-18       Impact factor: 5.833

2.  Duplex Surface Enhanced Raman Scattering-Based Lateral Flow Immunosensor for the Low-Level Detection of Antibiotic Residues in Milk.

Authors:  Ruiqi Fan; Shusheng Tang; Sunlin Luo; Hu Liu; Wanjun Zhang; Chunjiang Yang; Lidong He; Yiqiang Chen
Journal:  Molecules       Date:  2020-11-11       Impact factor: 4.411

  2 in total

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