ReviewJournal of chemical technology and biotechnology (Oxford, Oxfordshire : 1986)2022
Quantum dots against SARS-CoV-2: diagnostic and therapeutic potentials.
Review in Journal of chemical technology and biotechnology (Oxford, Oxfordshire : 1986), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
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
12 citing papers in PubMed.
- Glutathione-Coated Quantum Dots as Immobilized Substrates for the Evaluation of Glutathione-Dependent Enzymes: Glutathione Reductase and Glutathione S-Transferase.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Bright Semiconductor Quantum Dots Shed New Light on Precision Nanomedicine for Various Diseases.Small science · 2024Article
- Recent Advances in Quantum Dot-Based Lateral Flow Immunoassays for the Rapid, Point-of-Care Diagnosis of COVID-19.Biosensors · 2023Review
- Biosynthesis of Quantum Dots and Their Therapeutic Applications in the Diagnosis and Treatment of Cancer and SARS-CoV-2.Advanced pharmaceutical bulletin · 2023Review
- Advances in Structural Modifications and Properties of Graphene Quantum Dots for Biomedical Applications.ACS omega · 2023Review
- Recent progress on rapid diagnosis of COVID-19 by point-of-care testing platforms.Chinese chemical letters = Zhongguo hua xue kuai bao · 2023Review
- Fluorescence-Based Portable Assays for Detection of Biological and Chemical Analytes.Sensors (Basel, Switzerland) · 2023Review
- Carbon-based nanomaterials against SARS-CoV-2: Therapeutic and diagnostic applications.OpenNano · 2023Article
- An update on lateral flow immunoassay for the rapid detection of SARS-CoV-2 antibodies.AIMS microbiology · 2023Review
- Nanosponges: An overlooked promising strategy to combat SARS-CoV-2.Drug discovery today · 2022Review
- Review
- Drug delivery and anticancer activity of biosynthesised mesoporous FeIET nanobiotechnology · 2022Article
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
The application of quantum dots (QDs) for detecting and treating various types of coronaviruses is very promising, as their low toxicity and high surface performance make them superior among other nanomaterials; in conjugation with fluorescent probes they are promising semiconductor nanomaterials for the detection of various cellular processes and viral infections. In view of the successful results for inhibiting SARS-CoV-2, functional QDs could serve eminent role in the growth of safe nanotherapy for the cure of viral infections in the near future; their large surface areas help bind numerous molecules post-synthetically. Functionalized QDs with high functionality, targeted selectivity, stability and less cytotoxicity can be employed for highly sensitive co-delivery and imaging/diagnosis. Besides, due to the importance of safety and toxicity issues, QDs prepared from plant sources (e.g. curcumin) are much more attractive, as they provide good biocompatibility and low toxicity. In this review, the recent developments pertaining to the diagnostic and inhibitory potentials of QDs against SARS-CoV-2 are deliberated including important challenges and future outlooks. © 2022 Society of Chemical Industry (SCI).
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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.