Literature DB >> 30236692

A simple and sensitive SERS quantitative analysis method for urea using the dimethylglyoxime product as molecular probes in nanosilver sol substrate.

Aihui Liang1, Haolin Wang2, Dongmei Yao3, Zhiliang Jiang4.   

Abstract

Under the light wave irradiation, the stable and highly surface enhanced Raman scattering (SERS) active silver nanosol (AgNP) was prepared by reduction of AgNO3, using sodium citrate as reducer. Urea reacted with dimethylglyoxime to produce 4,5-dimethyl-2-imidazole ketone that exhibited a strong SERS peak at 1320 cm-1 in the as-prepared AgNPs substrate. Under the selected conditions, the increased SERS intensity ΔI was linear to urea concentration in the range of 8.25-825 nM, with a detection limit of 4.92 nM. Accordingly, a new, simple SERS quantitative analysis method for trace urea in foods was established, with relative standard deviation of 0.92-4.8% and recovery of 97.4-101%.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dimethylglyoxime; Nanosilver sol; SERS; Urea

Mesh:

Substances:

Year:  2018        PMID: 30236692     DOI: 10.1016/j.foodchem.2018.07.149

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  3 in total

1.  Multibranch Gold Nanoparticles as Surface-Enhanced Raman Spectroscopy Substrates for Rapid and Sensitive Analysis of Fipronil in Eggs.

Authors:  Haonuan Zhao; Dandan Huang; Shuhua Zhu
Journal:  Sensors (Basel)       Date:  2019-12-05       Impact factor: 3.576

2.  Aptamer Turn-On SERS/RRS/Fluorescence Tri-mode Platform for Ultra-trace Urea Determination Using Fe/N-Doped Carbon Dots.

Authors:  Chongning Li; Jiao Li; Aihui Liang; Guiqing Wen; Zhiliang Jiang
Journal:  Front Chem       Date:  2021-03-15       Impact factor: 5.221

3.  Stimulus-responsive surface-enhanced Raman scattering: a "Trojan horse" strategy for precision molecular diagnosis of cancer.

Authors:  Cai Zhang; Xiaoyu Cui; Jie Yang; Xueguang Shao; Yuying Zhang; Dingbin Liu
Journal:  Chem Sci       Date:  2020-05-19       Impact factor: 9.825

  3 in total

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