Intelligent Microfluidic Biosensing
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Nano- and Micro-Technologies in Biosensors".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 18
Special Issue Editor
Interests: CMOS optical/chemical sensor; lab-on-CMOS; microfluidics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The convergence of microfluidics and intelligent technologies is opening new frontiers in biosensing. Microfluidic systems offer precise, low-volume, and high-throughput handling of biological samples, enabling portable and cost-effective platforms for real-time analysis. When combined with intelligent components—such as machine learning, advanced signal processing, and IoT connectivity—these systems become powerful tools for rapid, sensitive, and automated biosensing. This Special Issue focuses on the latest advancements in intelligent microfluidic biosensing, highlighting interdisciplinary efforts in device design, sensing strategies, and data-driven analysis. We welcome original research and review articles on topics including lab-on-a-chip platforms, wearable or implantable microfluidic biosensors, AI-assisted detection of biomarkers, and integrated systems for point-of-care diagnostics. Applications may range from clinical testing and infectious disease monitoring to food safety and environmental sensing. Contributions that demonstrate system-level innovation, real-world deployment, or address current challenges in sensitivity, selectivity, and robustness are particularly encouraged. This Special Issue aims to showcase how the integration of intelligence into microfluidic biosensing is driving the development of next-generation diagnostic technologies.
Prof. Dr. Xiwei Huang
Guest Editor
Manuscript Submission Information
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Keywords
- microfluidics
- intelligent bio-sensing
- lab-on-a-chip
- devices and systems
- artificial intelligence
- machine learning
- data analytics
- Internet of Medical Things (IoMT)
- point-of-care testing
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