ArticleACS sensors2018
Ratiometric Fluorescent Sensor Array as a Versatile Tool for Bacterial Pathogen Identification and Analysis.
Article in ACS sensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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.
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Who cites it
25 citing papers in PubMed, 66 citations in OpenAlex.
- Artificial intelligence-assisted phenotyping of drug-resistant bacteria using a monosaccharide-based fluorescent sensor array.Chemical science · 2026Article
- A fingerprint-based polymeric sensing platform for comprehensive quality assessment of complex culture media in cell manufacturing.Chemical science · 2026Article
- Species-specific discrimination of bacterial biofilms using a ratiometric fluorescence sensor array and machine learning.Sensors & diagnostics · 2026Article
- DNA-directed electrochemiluminescence nanosphere with electrocatalysis-enhanced microfluidic arrays for rapid multibacterial detection.Science advances · 2025Article
- Metal-free synthesis of tricyclic benzofuro[2,3-RSC advances · 2025Article
- Localized Light-Triggered CO Delivery: Comparing the Amount of CO Delivered and Cellular Toxicity.ACS chemical biology · 2025Article
- Review
- Machine learning assisted identification of antibiotic-resistantMicrochemical journal : devoted to the application of microtechniques in all branches of science · 2024Article
- Fast and accurate identification of pathogenic bacteria using excitation-emission spectroscopy and machine learning.Sensors & diagnostics · 2024Article
- A review on machine learning-powered fluorescent and colorimetric sensor arrays for bacteria identification.Mikrochimica acta · 2023Review
- 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
- Simpler Procedure and Improved Performance for Pathogenic Bacteria Analysis with a Paper-Based Ratiometric Fluorescent Sensor Array.Analytical chemistry · 2022Article
- Rapid Fluorescence Sensor Guided Detection of Urinary Tract Bacterial Infections.International journal of nanomedicine · 2022Article
- Nanotechnology for Targeted Detection and Removal of Bacteria: Opportunities and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Review
- Disposable Paper-Based Biosensors for the Point-of-Care Detection of Hazardous Contaminations-A Review.Biosensors · 2021Review
- [Application of carbon dots in analysis and detection of antibiotics].Se pu = Chinese journal of chromatography · 2021Review
- Water-Soluble Blue Fluorescent Nonconjugated Polymer Dots from Hyaluronic Acid and Hydrophobic Amino Acids.ACS omega · 2021Article
- Kaleidoscopic fluorescent arrays for machine-learning-based point-of-care chemical sensing.Sensors and actuators. B, Chemical · 2021Article
- One stone, three birds: one AIEgen with three colors for fast differentiation of three pathogens.Chemical science · 2020Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Rapid and reliable identification of pathogenic microorganisms is of great importance for human and animal health. Most conventional approaches are time-consuming and require expensive reagents, sophisticated equipment, trained personnel, and special storage and handling conditions. Sensor arrays based on small molecules offer a chemically stable and cost-effective alternative. Here we present a ratiometric fluorescent sensor array based on the derivatives of 2-(4'- N, N-dimethylamino)-3-hydroxyflavone and investigate its ability to provide a dual-channel ratiometric response. We demonstrate that, by using discriminant analysis of the sensor array responses, it is possible to effectively distinguish between eight bacterial species and recognize their Gram status. Thus, multiple parameters can be derived from the same data set. Moreover, the predictive potential of this sensor array is discussed, and its ability to analyze unknown samples beyond the list of species used for the training matrix is demonstrated. The proposed sensor array and analysis strategies open new avenues for the development of advanced ratiometric sensors for multiparametric analysis.
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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.