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

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 Fe<sub>3</sub>O<sub>4</sub>-ZnO-MnO<sub>2</sub> 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 H<sub>2</sub>O<sub>2</sub>. We established colorimetric detection systems based on Fe<sub>3</sub>O<sub>4</sub>-ZnO-MnO<sub>2</sub>-TMB both for nitrite (NO<sub>2</sub> <sup>-</sup>) and <i>Listeria monocytogenes</i> (LM) in food. Impressively, the detection limit of nitrite reached an astonishingly low level of 0.022 mg L<sup>-1</sup>, and the detection limit for LM was determined to be 3.5 cfu mL<sup>-1</sup>. 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.

Authors

Institutions

Publication Details

Journal
Food Chemistry X
Published
2024-11-08
DOI
https://doi.org/10.1016/j.fochx.2024.101968
Citations
2
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
0.23

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Mengjiao Wang, Daotan Liu, Wenteng Qiao, Mi Wei et al.
2 citations
Food Chemistry X
Advanced Nanomaterials in Catalysis
0.23
article

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

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

Abstract

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 Fe<sub>3</sub>O<sub>4</sub>-ZnO-MnO<sub>2</sub> 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 H<sub>2</sub>O<sub>2</sub>. We established colorimetric detection systems based on Fe<sub>3</sub>O<sub>4</sub>-ZnO-MnO<sub>2</sub>-TMB both for nitrite (NO<sub>2</sub> <sup>-</sup>) and <i>Listeria monocytogenes</i> (LM) in food. Impressively, the detection limit of nitrite reached an astonishingly low level of 0.022 mg L<sup>-1</sup>, and the detection limit for LM was determined to be 3.5 cfu mL<sup>-1</sup>. 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.

Food Chemistry XVol. 24
Binzhou Medical University (CN), Qingdao University of Science and Technology (CN), Ludong University (CN), Yantai University (CN), Jilin University (CN), Yantai Infectious Diseases Hospital (CN), Jingchu University of Technology (CN)
Natural Science Foundation of Shandong Province, Shandong Key Laboratory of Biochemical Analysis
Zero hunger
Openalex Percentile: Top 50%
Advanced Nanomaterials in Catalysis
0.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.