Biosensing and Bioprinting
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".
Deadline for manuscript submissions: closed (30 October 2023) | Viewed by 246
Special Issue Editors
Interests: 3D printing; microfluidics; tissue engineering; bio-printing
Special Issues, Collections and Topics in MDPI journals
Interests: 3D printing; machine learning; composite printing
Special Issues, Collections and Topics in MDPI journals
Interests: 3D printing; polymer composite; machine learning; multi-material 3D printing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The performance of biosensors is assessed on their sensitivity, specificity, and their ability to simultaneously detect multiple analytes. While these factors have yet to be fully realised in a single biosensor platform, recent advances in nano- and micro-fabrication technologies may revolutonize the fabrication of biosensors with spatial specificity and the heterogeneity of target analytes for multiplex sensing. One such fabrication technology is additive manufacturing, also known as 3D printing. Within the additive manufacturing processes, bioprinting serves as an ideal processing technology to introduce bio-functionality units, such as cells and microbes, towards the detection of molecules. This Special Issue will highlight the use of nano/microfabrication technologies such as 3D printing and bioprinting towards the fabrication of biosensors for detection and diagnostics. We will cover applications spanning from disease diagnostics, wearble sensors, food safety, and environmental monitoring. Advances in opto-photonics and microfluidics can be discussed as emerging technologies in Biosensors.
Dr. Jia Min Lee
Dr. Guo Dong Goh
Dr. Guo Liang Goh
Dr. Wensee Tan
Guest Editors
Manuscript Submission Information
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Keywords
- 3D printing
- bioprinting
- microfluidic
- opto-photonics
- bio-compatible
- wearable
- food safety
- environmental monitoring
- microbial
- sensing strategy
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