A Background-Free SERS Strategy for Sensitive Detection of Hydrogen Peroxide

Autor: Kaixin Chen, Haoling Chen, Songxian Liang, Jindan Wu, Ping Zhou, Nan Li
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Molecules, Vol 27, Iss 22, p 7918 (2022)
Druh dokumentu: article
ISSN: 1420-3049
DOI: 10.3390/molecules27227918
Popis: The accurate and sensitive detection of biomolecules by surface-enhanced Raman spectroscopy (SERS) is possible, but remains challenging due to the interference from biomolecules in complex samples. Herein, a new SERS sensor is developed for background-free detection of hydrogen peroxide (H2O2) with an ultralow detection limit (1 × 10−10 mol/L), using a Raman-silent strategy. The Au microparticles (Au-RSMPs) resembling rose-stones are devised as SERS substrates with a high enhancement effect, and 4-mercaptophenylboronic acid (4-MPBA) is selected as an H2O2-responsive Raman reporter. Upon the reaction with H2O2, the phenylboronic group of 4-MPBA was converted to a phenol group, which subsequently reacted with 4-diazonium-phenylalkyne (4-DP), an alkyne-carrying molecule via the azo reaction. The formed product exhibits an intense and sharp SERS signal in the Raman-silent region, avoiding interference of impurities and biomolecules. As a proof-of-concept demonstration, we show that this SERS sensor possesses significant merits towards the determination of H2O2 in terms of broad linear range, low limit of detection, and high selectivity, showing promise for the quantitative analysis of H2O2 in complicated biological samples.
Databáze: Directory of Open Access Journals
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