Microfluidic programmable strategies for channels and flow

Lab on a Chip, Journal Year: 2024, Volume and Issue: 24(19), P. 4483 - 4513

Published: Jan. 1, 2024

This review summarizes programmable microfluidics, an advanced method for precise fluid control in microfluidic technology through microchannel design or liquid properties, referring to microvalves, micropumps, digital multiplexers, micromixers, slip-, and block-based configurations. Different microvalve types, including electrokinetic, hydraulic/pneumatic, pinch, phase-change check valves, cater diverse experimental needs. Programmable such as passive active play a crucial role achieving automation. Due their small size high integration, microvalves micropumps are widely used medical devices biological analysis. In addition, this provides in-depth exploration of the applications multiplexed mixer-based microfluidics manipulation movement, mixing, splitting. These methodologies leverage physical properties liquids, capillary forces dielectric forces, achieve over dynamics. SlipChip technology, which branches into rotational translational SlipChip, controls sliding motion microchannel. On other hand, innovative designs systems pursue better modularity, reconfigurability ease assembly. assembly strategies, from one-dimensional blocks two-dimensional Lego®-style three-dimensional reconfigurable modules, aim enhance flexibility accessibility. technologies user-friendliness accessibility by offering integrated systems, making them potentially usable outside specialized technical labs. Microfluidic strategies channels flow hold promising biomedical research, chemical analysis drug screening, providing theoretical practical guidance broader utilization scientific research applications.

Language: Английский

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Innovative technologies to address neglected tropical diseases in African settings with persistent sociopolitical instability

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Nov. 27, 2024

The health, economic, and social burden of neglected tropical diseases (NTDs) in Africa remains substantial, with elimination efforts hindered by persistent sociopolitical instability, including ongoing conflicts among political ethnic groups that lead to internal displacement migration. Here, we explore how innovative technologies can support addressing NTDs amidst such through analysis WHO UNHCR data a systematic literature review. Countries facing instability also bear high NTDs, the continent ranking second globally NTD (33%, 578 million people) first (50%, 31.6 2023. Studies have investigated for their potential prevention, surveillance, diagnosis, treatment management. Integrating evidence, discuss nine promising technologies—artificial intelligence, drones, mobile clinics, nanotechnology, telemedicine, augmented reality, advanced point-of-care diagnostics, health Apps, wearable sensors—that could enhance Africa's response face instability. As stability returns, these will evolve more comprehensive sustainable development. global community should facilitate deployment those greatest need help achieve 2030 Roadmap other targets. (NTDs). authors address

Language: Английский

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Artificial Intelligence-Based Microfluidic Platform for Detecting Contaminants in Water: A Review

Sensors, Journal Year: 2024, Volume and Issue: 24(13), P. 4350 - 4350

Published: July 4, 2024

Water pollution greatly impacts humans and ecosystems, so a series of policies have been enacted to control it. The first step in performing is detect contaminants the water. Various methods proposed for water quality testing, such as spectroscopy, chromatography, electrochemical techniques. However, traditional testing require utilization laboratory equipment, which large not suitable real-time field. Microfluidic devices can overcome limitations instruments become an efficient convenient tool analysis. At same time, artificial intelligence ideal means recognizing, classifying, predicting data obtained from microfluidic systems. based on machine learning are being developed with great significance next generation monitoring This review begins brief introduction algorithms involved materials used fabrication detection techniques platforms. Then, latest research development combining two pollutant bodies, including heavy metals, pesticides, micro- nanoplastics, microalgae, mainly introduced. Finally, challenges encountered future directions industrial chips discussed.

Language: Английский

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Microfluidics Detection Technologies and Applications

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 3, 2025

Microfluidic chips can condense an entire analytical detection laboratory into a chip of just few square centimeters, achieving miniaturization, integration, automation, and high-sensitivity. The main microfluidic technologies include electrochemical technology, capacitively coupled contactless conductivity photoelectric which are now widely used in environmental monitoring, food safety testing, drug disease diagnosis, agricultural detection. In this chapter, we summarize the typical methods integrated onto platforms. Applications these on environment, safety, biomedicine, other fields also have been discussed. At last, challenges future directions about microfluidics-based analysis development remarked.

Language: Английский

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Triplicate Dynamic Cell Culture Platform for Enhanced Reproducibility in Anti-Cancer Drug Testing

ACS Biomaterials Science & Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

The development of stable and standardized in vitro cytotoxicity testing models is essential for drug discovery personalized medicine. Microfluidic technologies, recognized their small size, reduced reagent consumption, control over experimental variables, have gained considerable attention. However, challenges associated with external pumps, particularly inconsistencies between individual pumping systems, limited the real-world application cancer-on-a-chip technology. This study introduces a novel triplicate cell culture system (Tri-CS) that simultaneously supports dynamic cultures three independent units using single peristaltic pump, ensuring consistent flow conditions. Our findings demonstrate Tri-CS significantly reduces variability compared to pump enhancing reliability anticancer testing. Furthermore, we evaluated gemcitabine cytotoxicity, which shows enhanced efficacy Fluorescein diffusion tests revealed greater efficiency cultures, contributed higher observed efficacy. potential broader Tri-CS, including its compatibility commercially available transwells opportunity use more complex cancer-on-chip models, positions this as valuable tool advancing microphysiological systems preclinical research.

Language: Английский

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Machine Learning Assisted-Intelligent Lactic Acid Monitoring in Sweat Supported by a Perspiration-Driven Self-Powered Sensor

Nano Letters, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Lactic acid has aroused increasing attention due to its close association with serious diseases. A real-time, dynamic, and intelligent detection method is vital for sensitive of lactic acid. Here, a machine learning (ML)-assisted perspiration-driven self-powered sensor (PDS sensor) fabricated using Ni-ZIF-8@lactate oxidase pyruvate (Ni-ZIF-8@LOx&POx)/laser-induced graphene (LIG), bilirubin (BOD)/LIG, microchannel highly real-time monitoring in sweat. Driven by the oxidation reaction acid, PDS sensors exhibit excellent sensitivity, wide range, good reproducibility, selectivity When subjects different body mass index (BMI) undergo aerobic or anaerobic exercise maintain sedentary state, can monitor sweat wirelessly real-time. Moreover, ML algorithm was employed assist detect subjects' high prediction accuracy 96.0%.

Language: Английский

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Digital microfluidic-based fluorescence methods for the automated determination of copper ions in wine

Microchimica Acta, Journal Year: 2025, Volume and Issue: 192(3)

Published: Feb. 13, 2025

Language: Английский

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Leveraging automated time-lapse microscopy coupled with deep learning to automate colony forming assay

Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 15

Published: Feb. 19, 2025

The colony forming assay (CFA) stands as a cornerstone technique for evaluating the clonal expansion ability of single cancer cells and is crucial assessing drug efficacy. However, traditional CFAs rely on labor-intensive, endpoint manual counting, offering limited insights into dynamic effects treatment. To overcome these limitations, we developed an Artificial Intelligence (AI)-assisted automated CFA combining time-lapse microscopy real-time tracking formation. Using B-acute lymphoblastic leukemia (B-ALL) from E2A-PBX1 mouse model, cultured them in collagen-based 3D matrix with cytokines under static conditions low volume (60 µl) culture vessel validated its comparability to methylcellulose-based media. No significant differences final count or plating efficiency were observed. Our platform utilizes deep learning multi-object approach counting. Brightfield images used train YOLOv8 object detection network, achieving mAP50 score 86% identifying cells, clusters, colonies, 97% accuracy Z-stack identification algorithm. model accurately identified majority objects dataset. This AI-assisted was successfully applied density optimization, enabling determination seeding densities that maximize (PE), IC50 determination, efficient, less labor-intensive method testing concentrations. In conclusion, our novel counting enables automated, high-throughput analysis dynamics, significantly reducing labor increasing accuracy. Furthermore, it allows detailed, long-term studies cell-cell interactions treatment responses using live-cell imaging cell tracking. Future integration perfusion-based screening system promises enhance personalized therapy by optimizing broad approaches evaluation therapeutic

Language: Английский

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Nature-Inspired Engineering Separation Materials and Devices

ACS Nano, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Separation is a fundamental process in natural living systems. Their separation capabilities have inspired the design of various materials and devices. Despite some progress having been made, comprehensive overview still lacking. In this Perspective, we first review development technologies. We then summarize typical systems exhibiting superior from compositions microstructures to mechanisms. Next, highlight key advancements nature-inspired integrated Finally, propose future research directions opportunities, emphasizing importance physical chemical internal external stimulus regulation. These devices show great potential biomedicine, environmental remediation, energy conversion, food safety, analysis testing.

Language: Английский

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An Automatic Diverter Microfluidic Chip with Dual-Channel Concentration Gradient for Drug Screening of Head and Neck Tumor Cells

Published: Jan. 19, 2025

Language: Английский

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