SynthesisJournal of pharmaceutical and biomedical analysis2022
Updating the use of nano-biosensors as promising devices for the diagnosis of coronavirus family members: A systematic review.
Synthesis in Journal of pharmaceutical and biomedical analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
14 citing papers in PubMed, 41 citations in OpenAlex.
- Biosensors as transformative tools for multiplex detection of respiratory viral pathogens.Archives of microbiology · 2026Review
- Nanomaterial-enhanced biosensors for polycystic ovarian syndrome diagnosis and pathophysiological insights.Mikrochimica acta · 2025Review
- Nanobiosensors for revolutionizing parasitic infections diagnosis: a critical review to improve global health with an update on future challenges prospect.European journal of medical research · 2025Review
- Emerging Trends of Gold Nanostructures for Point-of-Care Biosensor-Based Detection of COVID-19.Molecular biotechnology · 2025Review
- Recent Progress of Polymer-Based Biosensors for Cancer Diagnostic Applications: Natural versus Synthetic Polymers.ACS omega · 2025Review
- COVID severity test (CoST sensor)-An electrochemical immunosensing approach to stratify disease severity.Bioengineering & translational medicine · 2023Article
- Review
- Trends in Drug Delivery Systems for Natural Bioactive Molecules to Treat Health Disorders: The Importance of Nano-Liposomes.Pharmaceutics · 2022Review
- Ultrasensitive voltammetric detection of SARS-CoV-2 in clinical samples.Sensors and actuators. B, Chemical · 2022Article
- Highly sensitive aptasensor for the detection of SARS-CoV-2-RBD using aptamer-gated methylene blue@mesoporous silica film/laser engraved graphene electrode.Biosensors & bioelectronics · 2022Article
- AuNP-based biosensors for the diagnosis of pathogenic human coronaviruses: COVID-19 pandemic developments.Analytical and bioanalytical chemistry · 2022Review
- Explicating the publication paradigm by bibliometric approaches: A case of interplay between nanoscience and ferroptosis.Health care science · 2022Article
- Review
- Advances in Microbial Diagnostics: Machine Learning and Nanotechnology for Zoonotic Disease Control.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronavidae viruses, such as SARS-CoV, SARS-CoV-2, and MERS-CoV, cause severe lower respiratory tract infection, acute respiratory distress syndrome and extrapulmonary manifestations, such as diarrhea and fever, eventually leading to death. Fast, accurate, reproductible, and cost-effective SARS-CoV-2 identification can be achieved employing nano-biosensors, reinforcing conventional methodologies to avoid the spread of COVID-19 within and across communities. Nano-biosensors built using gold, silver, graphene, In
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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.