Advancing microfluidic design with machine learning: a Bayesian optimization approach

Lab on a Chip, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

The proposed Bayesian optimization-based approach enhances micromixer performance by optimizing geometric parameters, significantly reducing required number of simulations, and accelerating the design process compared to conventional methods.

Язык: Английский

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Intelligent Microfluidics for Plasma Separation: Integrating Computational Fluid Dynamics and Machine Learning for Optimized Microchannel Design

Biosensors, Год журнала: 2025, Номер 15(2), С. 94 - 94

Опубликована: Фев. 6, 2025

Efficient separation of blood plasma and Packed Cell Volume (PCV) is vital for rapid sensing early disease detection, especially in point-of-care resource-limited environments. Conventional centrifugation methods are resource-intensive, time-consuming, off-chip, necessitating innovative alternatives. This study introduces "Intelligent Microfluidics", an ML-integrated microfluidic platform designed to optimize through computational fluid dynamics (CFD) simulations. The trifurcation microchannel, modeled using COMSOL Multiphysics, achieved yields 90-95% across varying inflow velocities (0.0001-0.05 m/s). input parameters mimic the viscosity density used with appropriate boundary conditions microchannels. Eight supervised ML algorithms, including Artificial Neural Networks (ANN) k-Nearest Neighbors (KNN), were employed predict key performance parameters, ANN achieving highest predictive accuracy (R2 = 0.97). Unlike traditional methods, this demonstrates scalability, portability, diagnostic potential, revolutionizing clinical workflows by enabling efficient real-time, diagnostics. By incorporating a detailed comparative analysis previous studies, efficiency, our work underscores superior ML-enhanced systems. platform's robust adaptable design particularly promising healthcare applications remote or resource-constrained settings where reliable tools urgently needed. novel approach establishes foundation developing next-generation, portable technologies tailored demands.

Язык: Английский

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Biosensor Technologies for Water Quality: Detection of Emerging Contaminants and Pathogens

Biosensors, Год журнала: 2025, Номер 15(3), С. 189 - 189

Опубликована: Март 15, 2025

This review explores the development, technological foundations, and applications of biosensor technologies across various fields, such as medicine for disease diagnosis monitoring, food industry. However, primary focus is on their use in detecting contaminants pathogens, well environmental monitoring water quality assessment. The classifies different types biosensors based bioreceptor transducer, highlighting how they are specifically designed detection emerging (ECs) pathogens water. Key innovations this technology critically examined, including advanced techniques systematic evolution ligands by exponential enrichment (SELEX), molecularly imprinted polymers (MIPs), self-assembled monolayers (SAMs), which enable fabrication sensors with improved sensitivity selectivity. Additionally, integration microfluidic systems into analyzed, demonstrating significant enhancements performance speed. Through these advancements, work emphasizes fundamental role key tools safeguarding public health preserving integrity.

Язык: Английский

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Advancements and innovations in liquid biopsy through microfluidic technology for cancer diagnosis

The Analyst, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Advancements and innovations in microfluidic technologies for cancer diagnosis. The integration of microfluidics with CRISPR gene editing, organ-on-a-chip models, 3D bioprinting, nanotechnology, AI

Язык: Английский

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Droplet Velocity and Film Thickness Studies of an Elongated Taylor Droplet in a Microchannel and Characterization Using Machine Learning

Industrial & Engineering Chemistry Research, Год журнала: 2025, Номер unknown

Опубликована: Апрель 20, 2025

Язык: Английский

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