ZnO-co-CeO2 decorated chitosan fiber oxidase mimic identified for visual monitoring of NO2−, S2− and Fe2+ in food

IF 4.6 2区 农林科学 Q2 CHEMISTRY, APPLIED Journal of Food Composition and Analysis Pub Date : 2025-06-01 Epub Date: 2025-03-21 DOI:10.1016/j.jfca.2025.107512
Lei Hu , Rui Xu , Suxian Zhang , Xiaocai Lv , Xuejiao Ren , Lingwei Bu , Yaxuan Niu , Wenli Yao , Zhengquan Yan
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Abstract

Food safety and protection is one of the key research hotspots nowadays. To recognize toxic NO2/S2− and ultra-trace Fe2+ in food, nano ZnO-co-CeO2 decorated chitosan fiber (CeO2/ZnO@CC) was identified using microwave-assisted hydrothermal methods. Not only did CeO2/ZnO@CC possesses synergistic-enhancement oxidase-like activity (Km/Vmax for catalyzing the oxidization of 3,3’,5,5’-tetramethyl benzidine (TMB) were 0.0212 mM/5.045 × 10−8 M·s−1), trace NO2, S2− or Fe2+ could selectively make the color of CeO2/ZnO@CC-TMB changed with obvious hyperchromic or hypochromic effect. Under the optimized conditions, there were excellent linear relationships between A655 and cNO2, cS2− or cFe2+ with detection limits of 6.63 × 10−8 M, 9.83 × 10−9 M and 5.1 × 10−8 M, far below their permitted values in drinking water made by World Health Organization (WHO). When applied for visual monitoring of NO2/S2−/Fe2+ in food samples, the recoveries (%) were 98.5∼103.4 %/ 97.7∼100.6 %/ 98.6∼104.5 % respectively. The mechanisms for oxidase-like activity and NO2/S2−/Fe2+ recognition were also confirmed. This work will offer a promising way for visual monitoring of NO2, S2− or Fe2+ in complex food samples by virtue of enzyme-like signal amplification.
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ZnO-co-CeO2修饰壳聚糖纤维氧化酶模拟物用于食品中NO2−、S2−和Fe2+的可视化监测
食品安全与防护是当今食品安全领域的研究热点之一。为了识别食品中有毒的NO2−/S2−和超痕量Fe2+,采用微波辅助水热法对纳米ZnO-co-CeO2修饰壳聚糖纤维(CeO2/ZnO@CC)进行了鉴定。CeO2/ZnO@CC-TMB不仅具有协同增强氧化酶样活性(催化3,3 ',5,5 ' -四甲基联苯胺(TMB)氧化的Km/Vmax为0.0212 mM/5.045 × 10−8 M·s−1),微量NO2−、S2−或Fe2+可选择性地使CeO2/ZnO@CC-TMB的颜色发生变化,表现出明显的高变色或低变色效应。在优化条件下,A655与cco2−、cS2−或cFe2+具有良好的线性关系,检出限分别为6.63 × 10−8 M、9.83 × 10−9 M和5.1 × 10−8 M,远低于世界卫生组织(WHO)饮用水允许值。应用于食品样品中NO2−/S2−/Fe2+的目视监测,回收率(%)分别为98.5 ~ 103.4 %/ 97.7 ~ 100.6 %/ 98.6 ~ 104.5 %。氧化酶样活性和NO2−/S2−/Fe2+识别的机制也得到了证实。这项工作将为利用酶样信号放大技术可视化监测复杂食品样品中的NO2−、S2−或Fe2+提供一种有希望的方法。
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来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
期刊介绍: The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.
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