Rapid detection of nitrite and Listeria monocytogenes in food based on multiple simulated enzyme activities of Fe(3)O(4)-ZnO-MnO(2) nanocomposites

基于Fe(3)O(4)-ZnO-MnO(2)纳米复合材料多种模拟酶活性的食品中亚硝酸盐和单核细胞增生李斯特菌的快速检测

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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(3)O(4)-ZnO-MnO(2) 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(2)O(2). We established colorimetric detection systems based on Fe(3)O(4)-ZnO-MnO(2)-TMB both for nitrite (NO(2) (-)) 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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