ArticleAnalytical chemistry2022
Simpler Procedure and Improved Performance for Pathogenic Bacteria Analysis with a Paper-Based Ratiometric Fluorescent Sensor Array.
Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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
14 citing papers in PubMed, 41 citations in OpenAlex.
- Species-specific discrimination of bacterial biofilms using a ratiometric fluorescence sensor array and machine learning.Sensors & diagnostics · 2026Article
- Deep Learning-Driven Intelligent Fluorescent Probes: Advancements in Molecular Design for Accurate Food Safety Detection.Foods (Basel, Switzerland) · 2025Review
- 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
- Biosensors; a novel concept in real-time detection of autophagy.Biosensors & bioelectronics · 2024Review
- Artificial intelligence applications in the diagnosis and treatment of bacterial infections.Frontiers in microbiology · 2024Review
- Illuminating Bacterial Contamination in Water Sources: The Power of Fluorescence-Based Methods.Journal of fluorescence · 2024Review
- Advancements of paper-based sensors for antibiotic-resistant bacterial species identification.Npj biosensing · 2024Review
- A review on machine learning-powered fluorescent and colorimetric sensor arrays for bacteria identification.Mikrochimica acta · 2023Review
- Portable biosensor-based oral pathogenic bacteria detection for community and family applications.Analytical and bioanalytical chemistry · 2023Review
- A novel single-particle multiple-signal sensor array combined with multidimensional data mining for the detection of tricarboxylic acid cycle metabolites and discrimination of cells.Analytical and bioanalytical chemistry · 2023Article
- Cellulose-Based Laser-Induced Graphene Devices for Electrochemical Monitoring of Bacterial Phenazine Production and Viability.Sensors and actuators. B, Chemical · 2023Article
- Back to the Drawing Board: A Unifying First-Principle Model for Correlating Sample UV-Vis Absorption and Fluorescence Emission.Analytical chemistry · 2022Article
- Rapid Fluorescence Sensor Guided Detection of Urinary Tract Bacterial Infections.International journal of nanomedicine · 2022Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Bacterial infections are the leading cause of morbidity and mortality in the world, particularly due to a delay in treatment and misidentification of the bacterial species causing the infection. Therefore, rapid and accurate identification of these pathogens has been of prime importance. The conventional diagnostic techniques include microbiological, biochemical, and genetic analyses, which are time-consuming, require large sample volumes, expensive equipment, reagents, and trained personnel. In response, we have now developed a paper-based ratiometric fluorescent sensor array. Environment-sensitive fluorescent dyes (3-hydroxyflavone derivatives) pre-adsorbed on paper microzone plates fabricated using photolithography, upon interaction with bacterial cell envelopes, generate unique fluorescence response patterns. The stability and reproducibility of the sensor array response were thoroughly investigated, and the analysis procedure was refined for optimal performance. Using neural networks for response pattern analysis, the sensor was able to identify 16 bacterial species and recognize their Gram status with an accuracy rate greater than 90%. The paper-based sensor was stable for up to 6 months after fabrication and required 30 times lower dye and sample volumes as compared to the analogous solution-based sensor. Therefore, this approach opens avenues to a state-of-the-art diagnostic tool that can be potentially translated into clinical applications in low-resource environments.
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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.