GET THE APP

Microfluidic Systems for Point-of-Care Diagnostics Recent Developments and Future Prospects
..

Journal of Biomedical Systems & Emerging Technologies

ISSN: 2952-8526

Open Access

Perspective - (2023) Volume 10, Issue 2

Microfluidic Systems for Point-of-Care Diagnostics Recent Developments and Future Prospects

Alaniz Carolina*
*Correspondence: Alaniz Carolina, Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, USA, Email:
Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, USA

Received: 24-Feb-2023, Manuscript No. bset-23-94712; Editor assigned: 25-Feb-2023, Pre QC No. P-94712; Reviewed: 10-Mar-2023, QC No. Q-94712; Revised: 18-Mar-2023, Manuscript No. R-94712; Published: 25-Mar-2023 , DOI: 10.37421/2952-8526.2023.10.157
Citation: Carolina, Alaniz. “Microfluidic Systems for Point-of-Care Diagnostics Recent Developments and Future Prospects.” J Biomed Syst Emerg Technol 10 (2023): 157.
Copyright: © 2023 Carolina A. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Introduction

Microfluidic systems for point-of-care diagnostics have seen significant advancements in recent years, with promising future prospects. These systems integrate microscale technologies, such as microchannels, micropumps and microvalves, to manipulate and analyze small volumes of fluids, typically in the range of microliters to picoliters. Point-of-care diagnostics aim to provide rapid and accurate testing at the point of patient care, without the need for centralized laboratories, making them highly valuable for various applications, including infectious disease detection, cancer screening and monitoring of chronic conditions [1]. Here are some recent developments and future prospects in microfluidic systems for point-of-care diagnostics:

Lab-on-a-chip platforms: Lab-on-a-chip (LOC) platforms integrate multiple diagnostic functions, such as sample preparation, DNA amplification and detection, onto a single microfluidic chip. Recent advancements in LOC technologies have enabled the development of portable and user-friendly diagnostic devices that can provide rapid and accurate results in resourcelimited settings. Future prospects of LOC platforms include increased multiplexing capabilities for simultaneous detection of multiple analytes, improved sensitivity and specificity through the integration of novel detecti on techniques and the development of modular and customizable platforms for diverse diagnostic applications [2].

Description

Paper-based microfluidics: Paper-based microfluidic devices, also known as "paperfluidics" or "fluidics-on-paper," have gained attention as low-cost and portable diagnostic tools. These devices use porous paper as a substrate to transport and manipulate fluids, eliminating the need for external pumps or power sources. Recent developments in paper-based microfluidics include the integration of colorimetric assays for visual detection of analytes, the incorporation of electronic components for signal amplification and the use of advanced fabrication techniques for precise control of fluid flow. Future prospects of paper-based microfluidics include the development of multiplexed assays, enhanced sensitivity and quantification capabilities and the integration of paperfluidics with other technologies for increased functionality.

Smartphone-based diagnostics: The ubiquitous presence of smartphones has opened up new opportunities for point-of-care diagnostics. Smartphone-based diagnostic devices leverage the computational power, connectivity and imaging capabilities of smartphones for rapid and remote diagnostics. Recent advancements in smartphone-based diagnostics include the development of miniaturized attachments or add-ons that can transform smartphones into diagnostic devices, the use of machine learning algorithms for data analysis and the integration of cloud-based platforms for data storage and analysis. Future prospects of smartphone-based diagnostics include increased integration with other technologies, such as sensors and wearables, for personalized and continuous monitoring and the use of artificial intelligence for real-time data analysis and decision-making.

Microfluidic biosensors: Microfluidic biosensors are integrated devices that combine microfluidic components with biosensing elements, such as antibodies, enzymes, or nucleic acids, for specific detection of analytes. Recent developments in microfluidic biosensors include the use of novel biosensing elements, the integration of microscale sample preparation techniques for enhanced sensitivity and the incorporation of micro/nanostructures for improved capture and detection of analytes. Future prospects of microfluidic biosensors include the development of multiplexed biosensors for simultaneous detection of multiple analytes, the integration of biosensors with other microfluidic functions for sample-to-answer diagnostics and the use of advanced nanomaterials and biofabrication techniques for increased sensitivity and specificity.

Biosensors and Detection Techniques: Biosensors, which are devices that combine a biological recognition element with a transducer to convert a biological signal into a measurable output, are critical components of microfluidic systems for point-of-care diagnostics. Recent developments in biosensors and detection techniques have focused on enhancing the sensitivity, specificity and multiplexing capabilities of assays. For example, the use of nanomaterials, such as nanoparticles and nanocomposites, in biosensors has shown great promise in improving the detection limits of assays. Additionally, advances in microfabrication techniques have enabled the integration of various transducers, such as electrochemical, optical and magnetic, into microfluidic devices for real-time and label-free detection. Future prospects of biosensors and detection techniques include the development of novel recognition elements, such as aptamers and CRISPR-based sensors and the integration of biosensors with other diagnostic technologies, such as microarrays and next-generation sequencing, for comprehensive diagnostic capabilities [3,4].

Microfluidic systems for point-of-care diagnostics have made significant advancements in recent years and hold great promise for the future of healthcare. These systems offer numerous benefits, including rapid and costeffective diagnostic testing at the point of care, miniaturization, portability and ease of use. Recent developments have focused on lab-on-a-chip technology, paper-based microfluidics, digital microfluidics, biosensors and connectivity with digital technologies for data analysis and communication [5].

Conclusion

Future prospects for microfluidic systems in point-of-care diagnostics include further miniaturization and automation of devices, increased customization for different diagnostic applications and integration with digital technologies for real-time data analysis and connectivity. Advances in recognition elements, such as aptamers and CRISPR-based sensors and the integration of microfluidic systems with other diagnostic technologies, such as microarrays and next-generation sequencing, offer exciting opportunities for comprehensive and personalized diagnostic capabilities.

However, challenges still remain, including regulatory considerations, scalability and standardization of microfluidic devices. Nevertheless, the field of microfluidic systems for point-of-care diagnostics continues to grow rapidly and holds immense potential to transform healthcare by providing rapid, accessible and personalized diagnostic testing at the point of care.

References

  1. Li, Chu-Xin, Yong-Dan Qi, Jun Feng and Xian-Zheng Zhang. "Cell‐Based Bio‐Hybrid Delivery System for Disease Treatments." Adv Nanobiomed Res 1 (2021): 2000052.
  2. Google Scholar, Crossref, Indexed at

  3. Nguyen, Hung V. and Vincent Faivre. "Targeted drug delivery therapies inspired by natural taxes." J Control Release 322 (2020): 439-456.
  4. Google Scholar, Crossref, Indexed at

  5. Coyle, Stephen, Carmel Majidi, Philip LeDuc and K. Jimmy Hsia. "Bio-inspired soft robotics: Material selection, actuation and design." Extreme Mech Lett 22 (2018): 51-59.
  6. Google Scholar, Crossref, Indexed at

  7. Krujatz, Felix, Sophie Dani, Johannes Windisch and Julia Emmermacher, et al. "Think outside the box: 3D bioprinting concepts for biotechnological applications–recent developments and future perspectives." Biotechnol Adv 58 (2022): 107930.
  8. Google Scholar, Crossref, Indexed at

  9. Luo, Zhiqiang, Dara E. Weiss, Qingyun Liu and Bozhi Tian. "Biomimetic approaches toward smart bio-hybrid systems." Nano Res11 (2018): 3009-3030.
  10. Google Scholar, Crossref, Indexed at

Google Scholar citation report
Citations: 43

Journal of Biomedical Systems & Emerging Technologies received 43 citations as per Google Scholar report

Journal of Biomedical Systems & Emerging Technologies peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward