期刊
JOURNAL OF HAZARDOUS MATERIALS
卷 441, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jhazmat.2022.129960
关键词
MOF; MSPE; Homogeneous chemiluminescent; Ochratoxin A; Rapid detection
This study proposes a novel strategy for the detection of OTA in contaminated grains using a magnetic metal-organic framework for pre-enrichment and an optical fiber-mediated immunosensor for specific recognition. The magnetic metal-organic framework demonstrates excellent adsorption performance and can efficiently adsorb OTA within a short period of time. The sensor exhibits high sensitivity and reliability, making it suitable for on-site detection.
Ochratoxin A (OTA) is a fungal secondary metabolite produced by certain species of Aspergillus and Penicillium, and is generally found in contaminated grains, presenting considerable risks to human and animal health. Poor stability and insufficient miniaturization of equipment are the two main shortcomings of existing optical bio-sensors. Herein, we proposed a novel strategy where a magnetic metal-organic framework (MMOF) was used for the pre-enrichment of OTA in complex food matrices through magnetic-solid phase extraction, followed by a competitive optical fiber-mediated homogeneous chemiluminescent immunosensor (OFCI) for specific recognition of OTA in grain samples. A homemade miniaturized portable chemiluminescent device (PCD) was designed and applied as the signal readout. The MMOF performs well on OTA adsorption and its adsorption behavior could be well-described by the pseudo-second-order and Freundlich isotherm models. Compared with other MOF materials, this magnetic UiO-66-NH(2 )can simply synthesize, has convenient operation, and has high performance with a superior adsorption efficiency of 94 % within 10 min. The proposed MMOF-OFCI was able to quantify OTA from 0.1 to 100 ng/mL, with the limit of detection of 0.28 ng/mL. This sensor exhibited consistent results in comparison with those obtained by the HPLC-MS on real matrices of wheat and corn, thus making it more suitable for on-site detection.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据