ArticleEuropean physical journal plus2023
Numerical simulation and optimization of AC electrothermal microfluidic biosensor for COVID-19 detection through Taguchi method and artificial network.
Article in European physical journal plus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
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Who cites it
7 citing papers in PubMed.
- Integrative design and optimization of bioactive schiff bases using computational intelligence and molecular modeling.Journal of computer-aided molecular design · 2026Article
- A comprehensive review on electrically modulated transport of soft, multiphase systems in microflow: Perspectives on drops and vesicles.Biomicrofluidics · 2025Review
- Optimizing microfluidic chip for rapid SARS-CoV-2 detection using Taguchi method and artificial neural network PSO.Scientific reports · 2025Article
- Optimizing PCF-SPR sensor design through Taguchi approach, machine learning, and genetic algorithms.Scientific reports · 2024Article
- Utilizing a Two-Stage Taguchi Method and Artificial Neural Network for the Precise Forecasting of Cardiovascular Disease Risk.Bioengineering (Basel, Switzerland) · 2023Article
- Numerical optimization of microfluidic biosensor detection time for the SARS-CoV-2 using the Taguchi method.Indian journal of physics and proceedings of the Indian Association for the Cultivation of Science (2004) · 2023Article
- Taguchi method: artificial neural network approach for the optimization of high-efficiency microfluidic biosensor for COVID-19.European physical journal plus · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microfluidic biosensors have played an important and challenging role for the rapid detection of the new severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Previous studies have shown that the kinetic binding reaction of the target antigen is strongly affected by process parameters. The purpose of this research was to optimize the performance of a microfluidic biosensor using two different approaches: Taguchi optimization and artificial neural network (ANN) optimization. Taguchi L8(2
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Registered trials
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