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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Architected acoustic metamaterials: An integrated design perspective

Applied Physics Reviews, Год журнала: 2025, Номер 12(1)

Опубликована: Март 1, 2025

The review focuses on architected acoustic metamaterials to manipulate airborne sound waves, with only limited discussions elastic related solid media. We the design of and physical mechanisms underpinning their performance manufacturing methodologies, while also examining potential issues challenges affecting use in acoustics. complexities several metamaterial architectures are discussed. A new classification system is proposed distinguish configurations based typology channels inside meta-atom. Several types architectures, such as perforated micro-perforated panels, foams, resonators, various geometrical paths, piezoelectric patches, fundamental these classes identified commented on. paper describes main measurement techniques used for quantities evaluated, providing a guide characterize assess performance. current designs discussed, focus complex synergy between architectural patterns thickness. clarify distinction metamaterials, emphasizing applications materials that waves fluid offers further comments about need practical tools allow real-world applications.

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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