Surface-enhanced Raman scattering nanoprobes for the simultaneous detection of endogenous hypochlorous acid and peroxynitrite in living cells

  • Da Wei Li*
  • , Hua Ying Chen
  • , Zhen Fei Gan
  • , Jia Jia Sun
  • , Dan Guo
  • , Lu Lu Qu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Hypochlorous acid (HOCl) and peroxynitrite (ONOO) are two important intracellular reactive oxygen species (ROS) as crucial mediators in diverse pathological and physiological processes. Nonetheless, many of their functions are still inexplicit due to the shortage of methods for simultaneously detecting intracellular HOCl and ONOO. Here we present a novel kind of reaction-based surface-enhanced Raman scattering (SERS) nanoprobes, gold nanoparticles (AuNPs) modified with synthesized 2-mercapto-4-methoxy-phenol (MMP) and 4-mercaptophenyl boronic acid pinacol ester (MBAPE), to synchronously detect HOCl and ONOO in single living cells. Taking advantage of narrow SERS peaks for spectral multiplexing, the simultaneous detection is accomplished with the SERS variation of AuNPs/MMP/MBAPE nanoprobes caused by the respective reaction of MMP and MBAPE bonded on AuNPs with HOCl and ONOO. The AuNPs/MMP/MBAPE nanoprobes demonstrate a less than 1 min response to HOCl and ONOO with a sensitivity at 10−7 M level. The presented nanoprobes also have high selectivity for HOCl and ONOO respectively, resulting from SERS fingerprinting coupling with reaction specificity. Moreover, the proposed SERS strategy can be used for the simultaneous imaging of endogenous HOCl and ONOO in a single living macrophage, showing great application potential in studies of HOCl- and ONOO- involved physiological events.

Original languageEnglish
Pages (from-to)8-13
Number of pages6
JournalSensors and Actuators B: Chemical
Volume277
DOIs
StatePublished - 20 Dec 2018
Externally publishedYes

Keywords

  • Hypochlorous acid
  • Living cells
  • Peroxynitrite
  • SERS nanoprobes
  • Simultaneous detection

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