ArticleMikrochimica acta2025
A reverse ELISA based on quantum dot-labeled TetR for rapid detection of tetracycline.
Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- A Novel Dual-Ratio Optical Probe Based on Europium-Doped Carbon Dots for the Detection of Tetracycline.Journal of fluorescence · 2026Article
- Research progress on functional carbon quantum dots fluorescent probes for detecting pesticide residues in food.Mikrochimica acta · 2026Review
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Authors and funding
11 authors.
Funding
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Abstract
The overuse of tetracycline (TC) a novel reverse ELISA assay integrating quantum dots (QDs) with an allosteric transcription factor (TetR) was developed for rapid tetracycline (TC) detection. Specifically, biotin-modified double-stranded DNA (dsDNA) was immobilized on a streptavidin-coated 96-well plate, after which QD-TetR conjugates were added. In the presence of TC, the QD-TetR conjugate binds TC and undergoes allosteric changes that result in its dissociation from the dsDNA. The developed QD-TetR-based reverse ELISA achieved quantitative TC detection within a linear dynamic range of 0.05-100 μM in just 5 min, with a method detection limit of 0.02 μM. The recoveries ranged from 93.43% to 106.6% for actual samples (seawater, sewage, milk, and honey) detection. Furthermore, on-site semi-quantitative detection of TC in actual samples was achieved across a concentration range 0.5-500 μM. The results were validated with commercial ELISA kits, indicating strong potential for monitoring TC residues in environmental and food samples.
Indexed as
Identifiers
40794206What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.