ArticleRSC advances2021
A novel strategy for sensitive and rapid detection of ascorbic acid
Article in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 16 citations in OpenAlex.
- Tyndall-effect-based colorimetric enzyme-linked aptamer assay for instrument-free thrombin detection via enzyme-triggered degradation of MnOAnalytical and bioanalytical chemistry · 2026Article
- Recent advances in electrochemical sensors for vitamin sensing: toward point-of-care micronutrient assessment.Discover nano · 2025Review
- Fast and non-invasive identification of Baijiu based on Tyndall effect and chemometrics.Food chemistry: X · 2024Article
- CeORSC advances · 2023Article
- Analyte-triggered in situ "off-on" of Tyndall effect for smartphone-based quantitative nanosensing of AgPhotochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2023Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cobalt oxyhydroxide (CoOOH) nanoflakes, as nanoenzymes and fluorescence quenchers, have been widely used in colorimetric and fluorescent analysis. However, their promising light scattering property-the Tyndall effect (TE)-has never been applied in biosensors and biological analysis to date. Herein, we report for the first time a novel strategy for point-of-care detection of ascorbic acid (AA) with the TE of CoOOH nanoflakes providing colorimetric signaling. In this detection system, CoOOH nanoflakes exhibit a strong red TE signal under the illumination of a hand-held 635 nm laser pointer pen. However, the introduction of AA could induce a significant decrease of the TE because it could reduce CoOOH into Co
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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.