Article ; Online: Ultrasensitive Electrochemiluminescence Sensor Utilizing Aggregation-Induced Emission Active Probe for Accurate Arsenite Quantification in Rice Grains.
Journal of agricultural and food chemistry
2024 Volume 72, Issue 5, Page(s) 2826–2833
Abstract: Arsenic (As) constitutes a substantial threat to global ecosystems and public health. An accurate quantification of inorganic arsenite (As(III)) in rice grains is crucial for ensuring food safety and human well-being. Herein, we constructed an ... ...
Abstract | Arsenic (As) constitutes a substantial threat to global ecosystems and public health. An accurate quantification of inorganic arsenite (As(III)) in rice grains is crucial for ensuring food safety and human well-being. Herein, we constructed an electrochemiluminescence (ECL) biosensor utilizing aggregation-induced emission (AIE) active Pdots for the sensitive detection of As(III) in rice. We synthesized tetraphenylethylene-based AIE-active Pdots, exhibiting stable and highly efficient ECL emission in their aggregated states. Owing to the overlap of spectra, we employed an electrochemiluminescence resonance energy transfer (ECL-RET) system, with the Pdots as the donor and black hole quencher (BHQ) as the acceptor. Upon the introduction of As(III), the conformational changes of As(III)-specific aptamer could trigger the detachment of BHQ-labeled DNA aptamer from the electrode surface, leading to the recovery of the ECL signal. The target-induced "signal-on" bioassay enabled the sensitive and specific detection of As(III) with a linear range of 10 pM to 500 nM, with an ultralow limit of detection (LOD) of 5.8 pM/0.4 ppt. These values significantly surpass those of existing sensors designed for As(III) quantification in rice. Furthermore, by employing amylase hydrolysis for efficient extraction, we successfully applied our sensor to measure As(III) in actual rice samples sourced from diverse regions of China. The results obtained using our sensor were in close agreement with those derived from the reference method of HPLC-ICP-MS. This study not only presents a sensitive and reliable method for detecting arsenite but also underscores its potential applications in enhancing food safety, agriculture practices, and environmental monitoring. |
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MeSH term(s) | Humans ; Oryza ; Arsenites ; Ecosystem ; Luminescent Measurements/methods ; Limit of Detection ; Biosensing Techniques/methods ; Electrochemical Techniques/methods |
Chemical Substances | Arsenites |
Language | English |
Publishing date | 2024-01-28 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 241619-0 |
ISSN | 1520-5118 ; 0021-8561 |
ISSN (online) | 1520-5118 |
ISSN | 0021-8561 |
DOI | 10.1021/acs.jafc.3c08389 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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