ArticleRSC advances2025
Polydopamine-based electrochemical immunosensor for sensitive and selective detection of cotinine.
Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Electrochemical Detection of Levofloxacin Using a Polydopamine-Based Molecular Imprinting Polymer.Molecules (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tobacco use is a leading cause of preventable disease and death worldwide. Cotinine, the primary metabolite of nicotine, is widely recognized as a reliable biomarker for tobacco exposure. In this study, we developed a sensitive and specific electrochemical biosensor for cotinine detection using polydopamine nanoparticles (PDA NPs) conjugated with anti-cotinine antibodies. Dynamic light scattering and Fourier transform infrared spectroscopy confirmed successful antibody conjugation and nanoparticle functionalization. The optimized biosensor exhibited diffusion-controlled redox behaviour and a linear response across a wide cotinine concentration range (0.1-10 000 ng mL
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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 OpenQuestion graph.