ReviewBiosensors2021
An Overview of Bio-Inspired Intelligent Imprinted Polymers for Virus Determination.
Review in Biosensors, 2021. 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
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
12 citing papers in PubMed.
- Construction of a thermoresponsive molecularly imprinted biomimetic hydrogel-based virus sensor and non-invasive cyclable detection of EV71.Mikrochimica acta · 2024Article
- Regulation of cell fate by cell imprinting approach in vitro.BioImpacts : BI · 2024Review
- Imprinted Polymers on the Route to Plastibodies for Biomacromolecules (MIPs), Viruses (VIPs), and Cells (CIPs).Advances in biochemical engineering/biotechnology · 2024Review
- Antibody Phage Display Technology for Sensor-Based Virus Detection: Current Status and Future Prospects.Biosensors · 2023Review
- Electrochemical and Bioelectrochemical Sensing Platforms for Diagnostics of COVID-19.Biosensors · 2023Review
- Molecularly Imprinted Nanomaterials with Stimuli Responsiveness for Applications in Biomedicine.Molecules (Basel, Switzerland) · 2023Review
- Worldwide fight against COVID-19 using nanotechnology, polymer science, and 3D printing technology.Polymer bulletin (Berlin, Germany) · 2023Review
- Picomolar or beyond Limit of Detection Using Molecularly Imprinted Polymer-Based Electrochemical Sensors: A Review.Biosensors · 2022Review
- Advantages of imprinted polymer electrodes for electrochemical pathogen detection.Current opinion in electrochemistry · 2022Article
- Article
- Nanomaterials and metal-organic frameworks for biosensing applications of mutations of the emerging viruses.Analytical biochemistry · 2022Review
- Molecularly Imprinted Polymer-Based Sensors for SARS-CoV-2: Where Are We Now?Biomimetics (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The molecular imprinting polymers (MIPs) have shown their potential in various applications including pharmaceuticals, chemical sensing and biosensing, medical diagnosis, and environmental related issues, owing to their artificial selective biomimetic recognition ability. Despite the challenges posed in the imprinting and recognition of biomacromolecules, the use of MIP for the imprinting of large biomolecular oragnism such as viruses is of huge interest because of the necessity of early diagnosis of virus-induced diseases for clinical and point-of-care (POC) purposes. Thus, many fascinating works have been documented in which such synthetic systems undoubtedly explore a variety of potential implementations, from virus elimination, purification, and diagnosis to virus and bacteria-borne disease therapy. This study is focused comprehensively on the fabrication strategies and their usage in many virus-imprinted works that have appeared in the literature. The drawbacks, challenges, and perspectives are also highlighted.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.