Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Methods of Classification and Identification01:28

Methods of Classification and Identification

Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Deep eutectic solvent-based green extraction and antioxidant evaluation of polyphenols from Malus coronaria crabapple fruits.

Food chemistry·2026
Same author

A Porous Supramolecular Organic Framework for Direct CO<sub>2</sub> Capture and Photocatalytic Reduction From Air.

ChemSusChem·2026
Same author

Nondestructive tracking of viral infections by viral protein-initiated fluorescent sensors.

Journal of virology·2026
Same author

Advances in Heparin Reversal Agents: Design Strategies, Structural Features, and Pharmacological Insights.

Journal of medicinal chemistry·2026
Same author

Phylogenetic and genomic characterisation of the rare global Salmonella enterica serovar Wandsworth ST1498.

International journal of food microbiology·2026
Same author

Boosting Array-based Diagnosis of Urinary Tract Infections via a Heterobifunctional Bridge-Driven Strategy.

Angewandte Chemie (International ed. in English)·2025

Related Experiment Video

Updated: Jun 6, 2025

Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres
11:09

Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres

Published on: October 23, 2011

16.2K

A Universal Method for Fingerprinting Multiplexed Bacteria: Evolving Pruned Sensor Arrays via Machine Learning-Driven

Shuming Zhang1, Callum Stewart2, Xu Gao1

  • 1State Key Laboratory of Natural Medicines, National R&D Center for Chinese Herbal Medicine Processing, College of Engineering, China Pharmaceutical University, Nanjing 210009, China.

ACS Nano
|December 2, 2024
PubMed
Summary

This study presents a novel sensor array construction method for rapid, accurate detection of multiple bacterial strains. The developed arrays achieve high accuracy in diagnosing clinical infections like urinary tract infections and sepsis.

Keywords:
bacteriacombinatorial librarygroup-specificityinfectious diseasesmachine learningsensor array

More Related Videos

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
06:34

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Published on: July 11, 2016

17.8K
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K

Related Experiment Videos

Last Updated: Jun 6, 2025

Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres
11:09

Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres

Published on: October 23, 2011

16.2K
Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
06:34

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Published on: July 11, 2016

17.8K
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Clinical Diagnostics

Background:

  • Array-based sensing offers potential for biological system analysis but faces challenges in multianalyte identification and diverse disease diagnostics.
  • Developing universal strategies for simultaneous detection of various analytes and meeting clinical needs for multiclassified diseases remains difficult.

Purpose of the Study:

  • To introduce a combinatorial method for constructing sensor arrays with dual bacterial targeting capabilities.
  • To develop a rapid screening strategy using machine learning for optimal array generation.
  • To demonstrate the diagnostic potential of these arrays for clinical infectious diseases.

Main Methods:

  • Assembling two types of group-specific elements to create a library of 100 sensing units.
  • Employing a three-step screening strategy optimized by machine learning algorithms.
  • Utilizing nine multiclassification algorithms, including multilayer perceptron (MLP), for array optimization and performance evaluation.

Main Results:

  • Rapid generation of a library of 100 sensing units with dual bacterial targeting capabilities.
  • Identification of optimal five-element arrays for diverse clinical infectious models through machine learning-optimized screening.
  • Successful quantitative detection and identification of bacterial strains at disparate mixing ratios.
  • Achieved 100% accuracy in diagnosing clinical urinary tract infections (UTIs) and 99.4% accuracy in clinical sepsis detection using the optimized MLP model.

Conclusions:

  • The combinatorial library construction and screening process provides a standard approach for generating powerful sensor elements.
  • The developed mini-sensor arrays demonstrate high recognition and discriminative capabilities for clinical diagnostics.
  • This method offers insights into creating effective sensor arrays for complex biological and clinical challenges.