Academic Journal
Portable Electrochemiluminescence Microarray Sensor for Machine Learning-Assisted Quantitative Analysis of Zearalenone.
| Τίτλος: | Portable Electrochemiluminescence Microarray Sensor for Machine Learning-Assisted Quantitative Analysis of Zearalenone. |
|---|---|
| Συγγραφείς: | Manzoor R; College of Chemistry and Environmental Engineering, School of Biomedical Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen 518060, Guangdong, P. R. China., Sehrish A; School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China., Zhong G; College of Chemistry and Environmental Engineering, School of Biomedical Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen 518060, Guangdong, P. R. China., Kong T; College of Chemistry and Environmental Engineering, School of Biomedical Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen 518060, Guangdong, P. R. China., Xu T; College of Chemistry and Environmental Engineering, School of Biomedical Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen 518060, Guangdong, P. R. China., Liu C; College of Chemistry and Environmental Engineering, School of Biomedical Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen 518060, Guangdong, P. R. China. |
| Πηγή: | Analytical chemistry [Anal Chem] 2026 May 19; Vol. 98 (19), pp. 14406-14415. Date of Electronic Publication: 2026 May 07. |
| Τύπος έκδοσης: | Journal Article; Research Support, Non-U.S. Gov't |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: American Chemical Society Country of Publication: United States NLM ID: 0370536 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-6882 (Electronic) Linking ISSN: 00032700 NLM ISO Abbreviation: Anal Chem Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Washington, American Chemical Society. |
| Ιατρικοί όροι (MeSH): | Zearalenone*/analysis , Luminescent Measurements*/instrumentation , Electrochemical Techniques*/instrumentation , Microarray Analysis*/instrumentation , Machine Learning*, Zirconium/chemistry ; Electrodes ; Limit of Detection |
| Περίληψη: | Zearalenone (ZEN) is an estrogenic mycotoxin produced by Fusarium fungi and is widely present in cereal-based foodstuffs including wheat, rice, and maize. The exposure to ZEN can cause severe endocrine disruption and reproductive disorders. Therefore, we develop a portable electrode electrochemiluminescence (ECL) platform based on a micropillar electrode design for image-based quantitative analysis of ZEN. In this study, luminol-functionalized Zr-based metal-organic frameworks (Zr@Lu-MOFs) modified on micropillar electrodes exhibited stable ECL emission and enabled controlled signal generation, while a miniaturized electrochemical workstation supported portable operation. ECL images acquired by a smartphone are converted into red-green-blue (RGB) feature data sets, which are subsequently analyzed using a two-step machine learning workflow. K-nearest neighbor (KNN) classification is employed for signal pattern discrimination, followed by Gaussian process regression (GPR) for quantitative concentration prediction. This image-driven analytical strategy allows ZEN to be quantified over a broad linear range from 0.0001 to 100 ng/mL with a limit of detection (LOD) as low as 0.23 pg/mL. Benefiting from the microarray architecture and data-driven analysis, the platform exhibits high signal uniformity, good reproducibility, and reliable quantitative performance in real samples. This study demonstrates that integrating ECL microarrays with image-level data analysis provides an effective route toward scalable and portable analytical platforms for food safety monitoring. |
| Substance Nomenclature: | 5W827M159J (Zearalenone) C6V6S92N3C (Zirconium) |
| Entry Date(s): | Date Created: 20260507 Date Completed: 20260716 Latest Revision: 20260720 |
| Update Code: | 20260720 |
| DOI: | 10.1021/acs.analchem.6c01021 |
| PMID: | 42096180 |
| Βάση Δεδομένων: | MEDLINE |
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