ArticleChemical science2017
Bioinspired M-13 bacteriophage-based photonic nose for differential cell recognition.
Article in Chemical science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 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
22 citing papers in PubMed.
- Comprehensive Analysis of Advancement in Optical Biosensing Techniques for Early Detection of Cancerous Cells.Biosensors · 2025Review
- Advancements in nanobiosensor technologies for in-vitro diagnostics to point of care testing.Heliyon · 2024Review
- Genetically engineered bacteriophages as novel nanomaterials: applications beyond antimicrobial agents.Frontiers in bioengineering and biotechnology · 2024Review
- M13 phage: a versatile building block for a highly specific analysis platform.Analytical and bioanalytical chemistry · 2023Review
- Review
- The development progress of multi-array colourimetric sensors based on the M13 bacteriophage.Nano convergence · 2023Review
- Artificial olfactory sensor technology that mimics the olfactory mechanism: a comprehensive review.Biomaterials research · 2022Review
- Eco-Friendly Fluorescent ELISA Based on Bifunctional Phage for Ultrasensitive Detection of Ochratoxin A in Corn.Foods (Basel, Switzerland) · 2021Article
- Review
- Use of Multiple Bacteriophage-Based Structural Color Sensors to Improve Accuracy for Discrimination of Geographical Origins of Agricultural Products.Sensors (Basel, Switzerland) · 2021Article
- Denatured M13 Bacteriophage-Templated Perovskite Solar Cells Exhibiting High Efficiency.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Article
- Pattern-recognition-based Sensor Arrays for Cell Characterization: From Materials and Data Analyses to Biomedical Applications.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2020Review
- Hierarchical Cluster Analysis of Medical Chemicals Detected by a Bacteriophage-Based Colorimetric Sensor Array.Nanomaterials (Basel, Switzerland) · 2020Article
- Recent Advances in Organic Piezoelectric Biomaterials for Energy and Biomedical Applications.Nanomaterials (Basel, Switzerland) · 2020Review
- Article
- Research Progress of M13 Bacteriophage-Based Biosensors.Nanomaterials (Basel, Switzerland) · 2019Review
- Poly(ionic liquid)s as a distinct receptor material to create a highly-integrated sensing platform for efficiently identifying numerous saccharides.Chemical science · 2019Article
- Improvement of High Affinity and Selectivity on Biosensors Using Genetically Engineered Phage by Binding Isotherm Screening.Viruses · 2019Article
- Intermolecular distance measurement with TNT suppressor on the M13 bacteriophage-based Förster resonance energy transfer system.Scientific reports · 2019Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A bioinspired M-13 bacteriophage-based photonic nose was developed for differential cell recognition. The M-13 bacteriophage-based photonic nose exhibits characteristic color patterns when phage bundle nanostructures, which were genetically modified to selectively capture vapor phase molecules, are structurally deformed. We characterized the color patterns of the phage bundle nanostructure in response to cell proliferation
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.