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Published, Version of Record (VoR)CC BY V4.0, Open
Journal article
The Boom in 3D-Printed Sensor Technology
Sensors (Basel, Switzerland), v 17(5), p1166
01 May 2017
PMID: 28534832
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Future sensing applications will include high-performance features, such as toxin detection, real-time monitoring of physiological events, advanced diagnostics, and connected feedback. However, such multi-functional sensors require advancements in sensitivity, specificity, and throughput with the simultaneous delivery of multiple detection in a short time. Recent advances in 3D printing and electronics have brought us closer to sensors with multiplex advantages, and additive manufacturing approaches offer a new scope for sensor fabrication. To this end, we review the recent advances in 3D-printed cutting-edge sensors. These achievements demonstrate the successful application of 3D-printing technology in sensor fabrication, and the selected studies deeply explore the potential for creating sensors with higher performance. Further development of multi-process 3D printing is expected to expand future sensor utility and availability.
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Details
- Title
- The Boom in 3D-Printed Sensor Technology
- Creators
- Yuanyuan Xu - Tsinghua–Berkeley Shenzhen InstituteXiaoyue Wu - Tsinghua Univ, Grad Sch Shenzhen, Shenzhen 518055, Peoples R ChinaXiao Guo - Tsinghua Univ, Grad Sch Shenzhen, Shenzhen 518055, Peoples R ChinaBin Kong - Tsinghua–Berkeley Shenzhen InstituteMin Zhang - Tsinghua UniversityXiang Qian - Tsinghua UniversityShengli Mi - Tsinghua UniversityWei Sun - Tsinghua–Berkeley Shenzhen Institute
- Publication Details
- Sensors (Basel, Switzerland), v 17(5), p1166
- Publisher
- Mdpi
- Number of pages
- 37
- Grant note
- JC20140005 / Cross Scientific Research Innovation Fund of Graduate School at Shenzhen of Tsinghua University JCYJ20150731154850925; JCYJ20160509154951210; JCYJ20160608165954934 / Projects of Basic Research of Shenzhen
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000404553300226
- Scopus ID
- 2-s2.0-85076576462
- Other Identifier
- 991019167633304721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Chemistry, Analytical
- Engineering, Electrical & Electronic
- Instruments & Instrumentation