ReviewSensors (Basel, Switzerland)2015
A Review of Membrane-Based Biosensors for Pathogen Detection.
Review in Sensors (Basel, Switzerland), 2015. 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.
- Enhancing Colorimetric Detection of Nucleic Acids on Nitrocellulose Membranes: Cutting-Edge Applications in Diagnostics and Forensics.Biosensors · 2024Article
- Emerging Designs and Applications for Biomembrane Biosensors.Annual review of analytical chemistry (Palo Alto, Calif.) · 2024Review
- Current Trends and Changes in Use of Membrane Molecular Dynamics Simulations within Academia and the Pharmaceutical Industry.Membranes · 2023Review
- Investigation of GOx Stability in a Chitosan Matrix: Applications for Enzymatic Electrodes.Sensors (Basel, Switzerland) · 2023Article
- Vesicular and Planar Membranes of Archaea Lipids: Unusual Physical Properties and Biomedical Applications.International journal of molecular sciences · 2022Review
- Demonstration of Hollow Fiber Membrane-Based Enclosed Space Air Remediation for Capture of an Aerosolized Synthetic SARS-CoV-2 Mimic and Pseudovirus Particles.ACS ES&T engineering · 2022Article
- Certain, but Not All, Tetraether Lipids from the Thermoacidophilic ArchaeonInternational journal of molecular sciences · 2021Article
- Solid-state membranes formed on natural menisci.Nanotechnology · 2020Article
- Dye-sensitized TiONanoscale advances · 2019Article
- A Storage-Dependent Platinum Functionalization with a Commercial Pre-Polymer Useful for Hydrogen Peroxide and Ascorbic Acid Detection.Sensors (Basel, Switzerland) · 2019Article
- Nanosensors based on polymer vesicles and planar membranes: a short review.Journal of nanobiotechnology · 2018Review
- Nanosensors for water quality monitoring.Nature nanotechnology · 2018Review
- Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications.Sensors and actuators. B, Chemical · 2018Review
- Advances in Diagnosis, Surveillance, and Monitoring of Zika Virus: An Update.Frontiers in microbiology · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biosensors are of increasing interest for the detection of bacterial pathogens in many applications such as human, animal and plant health, as well as food and water safety. Membranes and membrane-like structures have been integral part of several pathogen detection platforms. Such structures may serve as simple mechanical support, function as a part of the transduction mechanism, may be used to filter out or concentrate pathogens, and may be engineered to specifically house active proteins. This review focuses on membrane materials, their associated biosensing applications, chemical linking procedures, and transduction mechanisms. The sensitivity of membrane biosensors is discussed, and the state of the field is evaluated and summarized.
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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.