Microfluidic-Based Sensing
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B：Biology and Biomedicine".
Deadline for manuscript submissions: closed (25 April 2025) | Viewed by 2250
Special Issue Editors
Interests: medical diagnostics; environmental monitoring; handheld PCR/LAMP; organ-on-a-chip
Special Issue Information
Dear Colleagues,
Microfluidic-based sensing technology enables the precise manipulation of small volumes of fluids within microscale channels, facilitating the development of highly sensitive, portable, rapid analysis, and cost-effective sensing devices. As a result, microfluidic-based sensors are significant tools for the real-time monitoring of biomolecules, pathogens, pollutants, and chemical analytes with high accuracy and efficiency. This paradigm shift has profoundly impacted sensing in healthcare, the environment, and biotechnology. Presently, researchers are exploring diverse methodologies within microfluidic sensing, including electrochemical, optical, and mechanical techniques, to address a wide range of analytical challenges. Integration with microfabrication technologies further enhances these sensing platforms’ scalability, reproducibility, and customization. It also enables high-throughput assays, which can benefit drug tests, environmental toxicant assessments, cell-based assays, etc. Recently, high-throughput and/or high-dimensional data have become increasingly common in microfluidic-based sensing, where machine learning (ML) can play pivotal roles in analyzing them. The use of a smartphone, single-board microcontrollers (Arduino or Raspberry Pi), cloud computing, etc., are also gaining popularity in microfluidic-based sensing. Despite significant progress, several challenges remain, including standardizing fabrication techniques, optimizing device performance, and integrating with data analysis (especially ML) algorithms. Therefore, this Special Issue aims to consolidate cutting-edge research papers, short communications, and review articles focused on developing microfluidic-based systems for sensing applications, aiming to drive innovations in healthcare, environmental monitoring, and beyond.
Prof. Dr. Jeong-Yeol Yoon
Dr. Kattika Kaarj
Guest Editors
Manuscript Submission Information
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Keywords
- biosensors
- point-of-care diagnostics
- rapid test
- drug test
- environmental monitoring
- high-throughput analysis
- microfabrication
- machine learning
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