ArticleACS applied materials & interfaces2019
Rapid Identification of Biofilms Using a Robust Multichannel Polymer Sensor Array.
Article in ACS applied materials & interfaces, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- A fingerprint-based polymeric sensing platform for comprehensive quality assessment of complex culture media in cell manufacturing.Chemical science · 2026Article
- Expanding the recognition of monosaccharides and glycans: A comprehensive analytical approach using chemical-nose/tongue technology and a comparison to lectin microarrays.BBA advances · 2025Article
- A Glycopolymer Sensor Array That Differentiates Lectins and Bacteria.Biomacromolecules · 2024Article
- Nanosensor-Enabled Detection and Identification of Intracellular Bacterial Infections in Macrophages.Biosensors · 2024Article
- Nanotechnology improves the detection of bacteria: Recent advances and future perspectives.Heliyon · 2024Review
- Chemical tongues as multipurpose bioanalytical tools for the characterization of complex biological samples.Biophysics and physicobiology · 2024Review
- Biofilm-Associated Infections in Chronic Wounds and Their Management.Advances in experimental medicine and biology · 2023Article
- Direct discrimination of cell surface glycosylation signatures using a single pH-responsive boronic acid-functionalized polymer.Chemical science · 2022Article
- Direct Cytosolic Delivery of Proteins Using Lyophilized and Reconstituted Polymer-Protein Assemblies.Pharmaceutical research · 2022Article
- Polymer-based chemical-nose systems for optical-pattern recognition of gut microbiota.Chemical science · 2022Article
- Cell-Based Chemical Safety Assessment and Therapeutic Discovery Using Array-Based Sensors.International journal of molecular sciences · 2022Review
- Advances in the Sensing and Treatment of Wound Biofilms.Angewandte Chemie (International ed. in English) · 2022Review
- Advances in the Sensing and Treatment of Wound Biofilms.Angewandte Chemie (Weinheim an der Bergstrasse, Germany) · 2022Review
- An ionic liquid-assisted quantum dot-grafted covalent organic framework-based multi-dimensional sensing array for discrimination of insecticides using principal component analysis and clustered heat map.Mikrochimica acta · 2021Article
- Remote near infrared identification of pathogens with multiplexed nanosensors.Nature communications · 2020Article
- A Multichannel Pattern-Recognition-Based Protein Sensor with a Fluorophore-Conjugated Single-Stranded DNA Set.Sensors (Basel, Switzerland) · 2020Article
- High-content and high-throughput identification of macrophage polarization phenotypes.Chemical science · 2020Article
- Sensor Array Based Determination of Edman Degradated Amino Acids Using Poly(p-phenyleneethynylene)s.Chemistry (Weinheim an der Bergstrasse, Germany) · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Infections caused by bacterial biofilms are challenging to diagnose because of the complexity of both the bacteria and the heterogeneous biofilm matrix. We report here a robust polymer-based sensor array that uses selective interactions between polymer sensor elements and the biofilm matrix to identify bacteria species. In this array, an appropriate choice of fluorophore enabled excimer formation and interpolymer FRET, generating six output channels from three polymers. Selective multivalent interactions of these polymers with the biofilm matrices caused differential changes in fluorescent patterns, providing a species-based signature of the biofilm. The real-world potential of the platform was further validated through identification of mixed-species bacterial biofilms and discrimination of biofilms in a mammalian cell-biofilm co-culture wound model.
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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.