ReviewBiosensors2013
Biomimetic strategies for sensing biological species.
Review in Biosensors, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Advances, applications, and limitations of portable and rapid detection technologies for routinely encountered foodborne pathogens.Frontiers in microbiology · 2022Review
- Thin Film Plastic Antibody-Based Microplate Assay for Human Serum Albumin Determination.Polymers · 2021Article
- Strategies for Molecular Imprinting and the Evolution of MIP Nanoparticles as Plastic Antibodies-Synthesis and Applications.International journal of molecular sciences · 2019Review
- Mass-Sensitive Sensing of Melamine in Dairy Products with Molecularly Imprinted Polymers: Matrix Challenges.Sensors (Basel, Switzerland) · 2019Article
- Novel electro-conductive nanocomposites based on electrospun PLGA/CNT for biomedical applications.Journal of materials science. Materials in medicine · 2018Article
- Label-Free Bioanalyte Detection from Nanometer to Micrometer Dimensions-Molecular Imprinting and QCMsBiosensors · 2018Review
- Combining Two Selection Principles: Sensor Arrays Based on Both Biomimetic Recognition and Chemometrics.Frontiers in chemistry · 2018Review
- Review
- Integrating sampling techniques and inverse virtual screening: toward the discovery of artificial peptide-based receptors for ligands.Molecular diversity · 2016Article
- Metal oxide nanosensors using polymeric membranes, enzymes and antibody receptors as ion and molecular recognition elements.Sensors (Basel, Switzerland) · 2014Review
- Special issue on organic electronic bio-devices.Biosensors · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The starting point of modern biosensing was the application of actual biological species for recognition. Increasing understanding of the principles underlying such recognition (and biofunctionality in general), however, has triggered a dynamic field in chemistry and materials sciences that aims at joining the best of two worlds by combining concepts derived from nature with the processability of manmade materials, e.g., sensitivity and ruggedness. This review covers different biomimetic strategies leading to highly selective (bio)chemical sensors: the first section covers molecularly imprinted polymers (MIP) that attempt to generate a fully artificial, macromolecular mold of a species in order to detect it selectively. A different strategy comprises of devising polymer coatings to change the biocompatibility of surfaces that can also be used to immobilized natural receptors/ligands and thus stabilize them. Rationally speaking, this leads to self-assembled monolayers closely resembling cell membranes, sometimes also including bioreceptors. Finally, this review will highlight some approaches to generate artificial analogs of natural recognition materials and biomimetic approaches in nanotechnology. It mainly focuses on the literature published since 2005.
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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.