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

You might also read

Related Articles

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

Sort by
Same author

Integrative design and optimization of bioactive schiff bases using computational intelligence and molecular modeling.

Journal of computer-aided molecular design·2026
Same author

Optimizing microfluidic chip for rapid SARS-CoV-2 detection using Taguchi method and artificial neural network PSO.

Scientific reports·2025
Same author

High-Performance ZIF-7@PANI Electrochemical Sensor for Simultaneous Trace Cadmium and Lead Detection in Water Samples: A Box-Behnken Design Optimization Approach.

Sensors (Basel, Switzerland)·2025
Same author

A High-Performance Electrochemical Sensor Based on Ni-Pt Bimetallic Nanoparticles Doped Metal Organic Framework ZIF-8 for the Detection of Dopamine.

ChemPlusChem·2025
Same author

Optimizing PCF-SPR sensor design through Taguchi approach, machine learning, and genetic algorithms.

Scientific reports·2024
Same author

Transfer factors for natural radioactivity into olive mill pomace.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2023

Related Experiment Video

Updated: Aug 20, 2025

Computer Numerical Control Micromilling of a Microfluidic Acrylic Device with a Staggered Restriction for Magnetic Nanoparticle-Based Immunoassays
09:58

Computer Numerical Control Micromilling of a Microfluidic Acrylic Device with a Staggered Restriction for Magnetic Nanoparticle-Based Immunoassays

Published on: June 23, 2022

2.2K

Taguchi optimization of integrated flow microfluidic biosensor for COVID-19 detection.

Sameh Kaziz1,2, Ibrahim Ben Mariem1, Fraj Echouchene3,4

  • 1Quantum and Statistical Physics Laboratory, Faculty of Sciences of Monastir, University of Monastir, Environment Boulevard, 5019 Monastir, Tunisia.

European Physical Journal Plus
|November 21, 2022
PubMed
Summary

Taguchi

More Related Videos

Microfluidic Chip Fabrication and Method to Detect Influenza
09:43

Microfluidic Chip Fabrication and Method to Detect Influenza

Published on: March 26, 2013

15.1K
Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation
13:42

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation

Published on: September 19, 2017

11.9K

Related Experiment Videos

Last Updated: Aug 20, 2025

Computer Numerical Control Micromilling of a Microfluidic Acrylic Device with a Staggered Restriction for Magnetic Nanoparticle-Based Immunoassays
09:58

Computer Numerical Control Micromilling of a Microfluidic Acrylic Device with a Staggered Restriction for Magnetic Nanoparticle-Based Immunoassays

Published on: June 23, 2022

2.2K
Microfluidic Chip Fabrication and Method to Detect Influenza
09:43

Microfluidic Chip Fabrication and Method to Detect Influenza

Published on: March 26, 2013

15.1K
Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation
13:42

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation

Published on: September 19, 2017

11.9K

Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry

Background:

  • Microfluidic biosensors offer rapid detection capabilities.
  • Optimizing these sensors is crucial for accurate SARS-CoV-2 diagnosis.

Purpose of the Study:

  • To optimize a microfluidic biosensor for rapid SARS-CoV-2 detection using Taguchi's method.
  • To identify key parameters influencing sensor performance and response time.

Main Methods:

  • Utilized Taguchi's method with an orthogonal array to analyze seven critical parameters.
  • Employed the finite element method for physical modeling and validated with experimental data.
  • Applied Analysis of Variance (ANOVA) to determine parameter contributions.

Main Results:

  • Identified optimal parameter combination: Re=10⁻², Da=1000, KD=5, Sc=10⁵, α=2, X=2, achieving a dimensionless response time of 0.11.
  • Relative adsorption capacity significantly impacted response time (37% contribution).
  • Schmidt number had the least impact on response time (7% contribution).

Conclusions:

  • Taguchi's method effectively optimizes microfluidic biosensor performance for rapid viral detection.
  • Relative adsorption capacity is the most critical factor for reducing response time in this biosensor design.