Cu-doped ZiF-8 and calcined UIO-66-based biomimetic enzyme electrochemical sensor for rapid and sensitive detection of Zearalenone in vegetable oil

IF 9.8 1区农林科学 Q1 CHEMISTRY, APPLIED

Food Chemistry Pub Date : 2025-04-09 DOI:10.1016/j.foodchem.2025.144260

Lin Zhiyuan , Kong Fanzhuo , Zhang Yuyang , Kouiti Oussama , Suo Hongbo , Huang Rubing , Zou Bin

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Abstract

In order to ensure the safety of the raw material vegetable oil deodorizer distillate (VODD) using in vitamin E and phytosterols production process, it is necessary to rapidly and sensitively detect the content of Zearalenone (ZEN) mycotoxins. In this study, the catalytic activity of ZIF-8 was enhanced by adding copper, and the synergistic effect of calcined UIO-66 and Cu-ZIF-8 was used to improve the electrical response of the sensor to ZEN, improve the conductivity and promote electron transfer, so as to enhance the recognition ability of ZEN. Cu-ZiF-8@CN-UIO-66 biomimetic enzyme was prepared and characterized using SEM, EDS, XPS, XRD and FT-IR. The linear range of the biosensor for ZEN detection was 10 ng mL⁻¹-25 μg mL⁻¹, and the detection limit was as low as 0.6 ng mL⁻¹. The experiment result indicated that the prepared composite nano-biomimetic enzyme was an ideal choice for the detection of ZEN in VODD and showed a broad application prospect in mycotoxin analysis.

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基于cu掺杂ZiF-8和煅烧uio -66的仿生酶电化学传感器快速灵敏检测植物油中玉米霉烯酮

为了保证植物油脱臭馏出物（VODD）在维生素E和植物甾醇生产过程中的安全性，有必要对玉米赤霉烯酮（ZEN）真菌毒素进行快速、灵敏的检测。本研究通过添加铜来增强ZIF-8的催化活性，并利用煅烧后的UIO-66与Cu-ZIF-8的协同效应，提高传感器对ZEN的电响应，提高电导率，促进电子转移，从而增强ZEN的识别能力。制备了Cu-ZiF-8@CN-UIO-66仿生酶，并用SEM、EDS、XPS、XRD和FT-IR对其进行了表征。该传感器检测ZEN的线性范围为10 ng mL−1 ~ 25 μ mL−1，检出限低至0.6 ng mL−1。实验结果表明，制备的复合纳米仿生酶是检测VODD中ZEN的理想选择，在霉菌毒素分析中具有广阔的应用前景。

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来源期刊

Food Chemistry 工程技术-食品科技

CiteScore

16.30

自引率

10.20%

发文量

3130

审稿时长

122 days

期刊介绍： Food Chemistry publishes original research papers dealing with the advancement of the chemistry and biochemistry of foods or the analytical methods/ approach used. All papers should focus on the novelty of the research carried out.