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carbendazim残留
MICROCHEMICAL JOURNAL · 2024 · IF 4.9

A smartphone-assisted fluorescent sensor using Eu/Tb-MOF nanorods for ultrasensitive and visual monitoring of carbendazim in food samples

Yuxin He,Hecun Zou,Xinhui Jiang,Yanrui Wei,Siqiao Li,Tong Wu,Zhengwei Zhang

Foodborne residue of carbendazim (CBZ) poses a major threat to human health. Here, we rationally designed a smartphone-assisted fluorescent sensor based on bimetallic-organic framework (Eu/Tb-MOF) for ultrasensitive and visual monitoring of CBZ. The Eu/Tb-MOF nanorods fabricated using Eu 3+ /Tb 3+ as metal nodes and homobenzoic tricarboxylic acid (H 3 BTC) as organic ligand exhibit superior optical properties. After adding CBZ, the strong orange fluorescence of Eu/Tb-MOF nanorods was suppressed by the inner filter effect (IFE). The linear ranges of the fluorescent sensor were 0.01–15 and 15–80 µg/mL, with a detection limit as low as 7.09 ng/mL. The analyses of CBZ residue in tomato and orange samples showed satisfactory recoveries of 99.32 %–101.97 % and low relative standard deviations of 0.87 %–3.44 %., verifying the practicality of the probe for CBZ. Notably, a simple and portable smartphone-assisted sensing platform based on the Eu/Tb-MOF nanorods was successfully constructed for quick, visual, and real-time monitoring of CBZ residue. This work provides an efficient onsite analytical method for assessment and warning-early of CBZ to safeguard food quality

研究领域: 食品安全 · 分析化学 · 光学传感
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JOURNAL OF ELECTROANALYTICAL CHEMISTRY · 2020 · IF 3.807

MoS2/MWCNTs porous nanohybrid network with oxidase-like characteristic as electrochemical nanozyme sensor coupled with machine learning for intelligent analysis of carbendazim

Xiaoyu Zhu,Peng Liu,Yu Ge,Ruimei Wu,Ting Xue,Yingying Sheng,Shirong Ai,Kaijie Tang,Yangping Wen

Electrochemical nanozyme sensor coupled with machine learning (ML) for intelligent analysis of carbendazim (CBZ) residues in tea and rice samples using graphene-like molybdenum disulfide (MoS 2 )/multi-walled carbon nanotubes (MWCNTs) porous nanohybrid network with oxidase-like characteristic was developed. MoS 2 /MWCNTs porous nanohybrid network was prepared by ultrasonic dispersion of MWCNTs into MoS 2 aqueous dispersion that was obtained by ultrasonic-assisted dispersion in sodium carboxymethyl cellulose water solution, which displayed low electron transfer resistance, high effective surface area, excellent film electrode stability. Machine learning via the artificial neural network for the intelligent analysis of CBZ was discussed in comparison with traditional regression analysis. Good electrocatalytic capacity, unique oxidase-like characteristic, wide linear range with 0.04–100 μM, low limit of detection with 7.4 nM, high sensitivity, and satisfactory practicability for CBZ demonstrated that electrochemical nanozyme sensor for the intelligent analysis of CBZ residues in edible agro-products was feasible. This will provide a new electrochemical sensing platform for the development of a graphene-like nanozyme sensor and its intelligent analysis of CBZ in food and agro-product safety.

研究领域: 食品科学 · 环境分析化学 · 纳米生物技术
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