Microfluidic-Based Sensing

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• biosensors
• point-of-care diagnostics
• rapid test
• drug test
• environmental monitoring
• high-throughput analysis
• microfabrication
• machine learning