Food Chemistry: X (Dec 2024)

Rapid detection of nitrite and Listeria monocytogenes in food based on multiple simulated enzyme activities of Fe3O4-ZnO-MnO2 nanocomposites

  • Shuyang Sun,
  • Wenteng Qiao,
  • Feng Yin,
  • Wei Mi,
  • LuliangWang,
  • Yuhan Jia,
  • Mengjiao Wang,
  • Xinhui Liu,
  • Dacheng Wang,
  • Daotan Liu,
  • Chao Zhao,
  • Xiuling Song,
  • Yushen Liu,
  • Yue Zhai

Journal volume & issue
Vol. 24
p. 101968

Abstract

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Food safety has emerged as a paramount concern in global health, prompting innovative approaches to ensure the safety of people's sustenance. In this study, a novel strategy was devised to fabricate Fe3O4-ZnO-MnO2 hybrid nanobiocatalysts, which exhibited remarkable enzymatic activity surpassing that of Horseradish peroxidase (HRP) catalysis. It demonstrated exceptional proficiency in decomposing 3,3′,5,5′-tetramethylbenzidine (TMB) without the need for harsh reaction conditions or the aid of H2O2. We established colorimetric detection systems based on Fe3O4-ZnO-MnO2-TMB both for nitrite (NO2−) and Listeria monocytogenes (LM) in food. Impressively, the detection limit of nitrite reached an astonishingly low level of 0.022 mg L−1, and the detection limit for LM was determined to be 3.5 cfu mL−1. These compelling results unequivocally validate the potential of these hybrid nanobiocatalysts to fortify food safety measures. Moreover, they serve as a valuable reference for the colorimetric detection of diverse analytes and the simultaneous detection of multiple targets.

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