Enhanced oxidase mimic activity of raspberry-like N-doped Mn3O4 with oxygen vacancies for efficient colorimetric detection of gallic acid coupled with smartphone

Tao Zhou, Daqing Chen, Haoran Li, Danhua Ge, Xiaojun Chen

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

The content of gallic acid (GA) is positively correlated with the quality grade of tea. Here, we developed a colorimetric method based on raspberry-like N-doped Mn3O4 nanospheres (N-Mn3O4 NSs) with oxidase-like activity for GA assay. Modulating the electronic structure of Mn3O4 by N doping could promote the catalysis ability, and the produced oxygen vacancies (OVs) can provide high surface energy and abundant active sites. The N-Mn3O4 NSs presented low Michaelis-Menten constant (Km) of 0.142 mM and maximum initial velocity (Vmax) of 9.8 × 10−6 M s−1. The sensor exhibited excellent analytical performance towards GA detection, including low LOD (0.028 μM) and promising linear range (5 ∼ 30 μM). It is attributed that OVs and [rad]O2 participated in TMB oxidation. Based on the reaction color changes, a visualized semi-quantitative GA detection could be realized via a smartphone-based system. It could be applied for evaluating GA quality in market-purchased black tea and green tea.

Original languageEnglish
Article number138919
JournalFood Chemistry
Volume447
DOIs
StatePublished - 30 Jul 2024

Keywords

  • Colorimetric sensor
  • Gallic acid
  • N-doped MnO nanospheres
  • Oxidase-like activity
  • Smartphone-based colorimetric platform

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