Microfluids in Metabolites Detection, Production, and Optimization DOI
Gholamreza Abdi,

Neha Chhabra,

Jueeli Shiriskar

et al.

Published: Jan. 1, 2024

Language: Английский

Recent Advances in Microfluidics for the Early Detection of Plant Diseases in Vegetables, Fruits, and Grains Caused by Bacteria, Fungi, and Viruses DOI Creative Commons
Xiaohan Zhao,

Lingzi Zhai,

Jingwen Chen

et al.

Journal of Agricultural and Food Chemistry, Journal Year: 2024, Volume and Issue: 72(28), P. 15401 - 15415

Published: June 14, 2024

In the context of global population growth expected in future, enhancing agri-food yield is crucial. Plant diseases significantly impact crop production and food security. Modern microfluidics offers a compact convenient approach for detecting these defects. Although this field still its infancy few comprehensive reviews have explored topic, practical research has great potential. This paper principles, materials, applications microfluidic technology plant caused by various pathogens. Its performance realizing separation, enrichment, detection different pathogens discussed depth to shed light on prospects. With versatile design, been developed rapid, sensitive, low-cost monitoring diseases. Incorporating modules preconcentration, amplification, enables early trace amounts pathogens, Coupling with imaging systems, smart digital devices are increasingly being reported as advanced solutions.

Language: Английский

Citations

8

Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members’ vision – part 2 DOI Creative Commons
Igor Petrušić, Chia‐Chun Chiang, David García‐Azorín

et al.

The Journal of Headache and Pain, Journal Year: 2025, Volume and Issue: 26(1)

Published: Jan. 2, 2025

Part 2 explores the transformative potential of artificial intelligence (AI) in addressing complexities headache disorders through innovative approaches, including digital twin models, wearable healthcare technologies and biosensors, AI-driven drug discovery. Digital twins, as dynamic representations patients, offer opportunities for personalized management by integrating diverse datasets such neuroimaging, multiomics, sensor data to advance research, optimize treatment, enable virtual trials. In addition, devices equipped with next-generation biosensors combined multi-agent chatbots could real-time physiological biochemical monitoring, diagnosing, facilitating early attack forecasting prevention, disease tracking, interventions. Furthermore, advances discovery leverage machine learning generative AI accelerate identification novel therapeutic targets treatment strategies migraine other disorders. Despite these advances, challenges standardization, model explainability, ethical considerations remain pivotal. Collaborative efforts between clinicians, biomedical biotechnological engineers, scientists, legal representatives bioethics experts are essential overcoming barriers unlocking AI's full transforming research healthcare. This is a call action proposing frameworks AI-based into care.

Language: Английский

Citations

1

Microfluidics enhanced biosensor technology for advancing food safety monitoring DOI
Guangfu Wu, Huijie Li, Jialong Chen

et al.

Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: 149, P. 104556 - 104556

Published: May 24, 2024

Language: Английский

Citations

6

A review on recent advances of AI-integrated microfluidics for analytical and bioanalytical applications DOI
Elham Asadian,

Farshad Bahramian,

Saeed Siavashy

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: 181, P. 118004 - 118004

Published: Oct. 9, 2024

Language: Английский

Citations

6

Machine Learning-Driven Innovations in Microfluidics DOI Creative Commons

JinSeok Park,

Y. Kim, Hee‐Jae Jeon

et al.

Biosensors, Journal Year: 2024, Volume and Issue: 14(12), P. 613 - 613

Published: Dec. 13, 2024

Microfluidic devices have revolutionized biosensing by enabling precise manipulation of minute fluid volumes across diverse applications. This review investigates the incorporation machine learning (ML) into design, fabrication, and application microfluidic biosensors, emphasizing how ML algorithms enhance performance improving design accuracy, operational efficiency, management complex diagnostic datasets. Integrating microfluidics with has fostered intelligent systems capable automating experimental workflows, real-time data analysis, supporting informed decision-making. Recent advances in health diagnostics, environmental monitoring, synthetic biology driven are critically examined. highlights transformative potential ML-enhanced systems, offering insights future trajectory this rapidly evolving field.

Language: Английский

Citations

5

Recent trends in electro-microfluidic devices for wireless monitoring of biomarker levels DOI
Sonal Fande,

Sai Kumar Pavar,

Sanket Goel

et al.

Applied Physics Letters, Journal Year: 2025, Volume and Issue: 126(4)

Published: Jan. 27, 2025

Wireless monitoring has emerged as a promising approach that enables real-time tracking of health, disease progression, and fitness, unlocking new possibilities for personalized healthcare. The review focuses on integrating electro-microfluidic (EM) devices with wireless technologies, revealing the potential miniaturized, portable, cost-effective systems. EM can noninvasively detect critical biomarkers such metabolites, proteins, pathogens. These advancements address growing demand accessible diagnostics, especially in resource-limited settings. Advancements microfabrication techniques biocompatible materials have enhanced sensitivity, specificity, ability to multiple simultaneously, ensuring reliable performance diverse applications. Incorporating Internet Things frameworks further bridges gap between laboratory diagnostics point-of-care testing, enabling seamless data transmission remote monitoring. Additionally, implementing flexible polymers, paper-based platforms, textile-integrated designs expanded scope wearable applications, providing user comfort convenience. improve diagnostic accuracy patient safety by continuous health early detection. highlights comprehensive overview cutting-edge devices, emphasizing their transformative making healthcare more accessible, efficient, personalized.

Language: Английский

Citations

0

Emerging microfluidic technologies for CRISPR-based diagnostics: an overview DOI
Fatemeh Nafian, Kimia Sadat Esfahani, Mina Hobabi Aghmiuni

et al.

Analytical Methods, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

This review explores emerging CRISPR-microfluidic platforms enhancing precision, speed, and portability for point-of-care diagnostics. Innovations like SHINE, CARMEN, ITP, DNAiTECH, Dμchip, FAST, MAPnavi highlight their potential.

Language: Английский

Citations

0

A new fibre microfluidic soil pore water sampling device for NH4+-N sensing using ion-selective electrode sensors (ISEs) DOI Creative Commons
Yafei Guo, Ernesto Saiz, Aleksandar Radu

et al.

Farming System, Journal Year: 2025, Volume and Issue: unknown, P. 100142 - 100142

Published: Feb. 1, 2025

Language: Английский

Citations

0

Study on the size and spatial configuration of liquid metal droplets in conductive hydrogels induced by surface acoustic waves DOI
Siyu Zhao, Zhaomiao Liu, Nan Zheng

et al.

Lab on a Chip, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Conductive hydrogels based on liquid metal microdroplets are widely used as wearable electronic devices. Droplet uniformity affects sensor sensitivity for weak signals, such heart rate and pulse rate. Surface acoustic waves at micrometer wavelengths allow precise control of a single droplet, have the potential to make uniformly discrete droplets distribute them in hydrogels. But law droplet size its spatial configuration by surface is not clear. The aim this paper present an analysis regulation mechanism interfacial evolution fluids with high tension coefficients, investigate influence microdroplet generation characteristics (size spacing) conductive mechanical properties results showed that combined action radiation force, shear force pressure difference helped overcome speed up necking process during filling squeezing stages. use serves diminish two-phase flow This provides effective approach achieving decoupled spacing, alongside formation homogenous array droplets. wave effect makes more uniform spacing. As content relative hydrogel substrate solution increases, decreases. hydrogel's initial conductivity after self-healing increase 10% 25%, respectively, which can realize monitoring ECG EMG signals. study helps reveal liquid-metal interfaces induced waves, elucidate effects spacing hydrogels, provide theoretical guidance high-precision preparation

Language: Английский

Citations

0

One-Step Fabrication of Microfluidic Channels in Polydimethylsiloxane: Influence of Laser Power on Channel Formation DOI Creative Commons

S.B. Kim,

Hyungbin Son, Hyo‐Ryoung Lim

et al.

Micromachines, Journal Year: 2025, Volume and Issue: 16(3), P. 282 - 282

Published: Feb. 28, 2025

Recent advancements in microfluidic technologies have revolutionized their applications, particularly drug monitoring, continuous biochemical analysis, and real-time physiological assessments. However, the fabrication of devices with precise flow control remains constrained by either cost-prohibitive photolithography processes or limited-precision 3D printing techniques. In this study, we propose a one-step method employing picosecond laser processing to directly create channels (PDMS). This achieves micron-scale channel precision while significantly simplifying process reducing costs. approach eliminates need for additional encapsulation steps, further contamination risks improving production scalability. These findings highlight potential advance next-generation wearable personalized healthcare technologies.

Language: Английский

Citations

0