Abstract
Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative efforts, scientific breakthroughs can be made sooner and capitalized for the betterment of humanity.
| Original language | English |
|---|---|
| Pages (from-to) | 5211-5295 |
| Number of pages | 85 |
| Journal | ACS Nano |
| Volume | 17 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 28 Mar 2023 |
Keywords
- bioelectronics
- body area sensor networks
- conformable sensors
- flexible electronics
- human-machine interfaces
- mechanics engineering
- soft materials
- sustainable electronics
- technology translation
ASJC Scopus subject areas
- General Materials Science
- General Engineering
- General Physics and Astronomy
Fingerprint
Dive into the research topics of 'Technology Roadmap for Flexible Sensors'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver
}
In: ACS Nano, Vol. 17, No. 6, 28.03.2023, p. 5211-5295.
Research output: Journal article publication › Review article › Academic research › peer-review
TY - JOUR
T1 - Technology Roadmap for Flexible Sensors
AU - Luo, Yifei
AU - Abidian, Mohammad Reza
AU - Ahn, Jong Hyun
AU - Akinwande, Deji
AU - Andrews, Anne M.
AU - Antonietti, Markus
AU - Bao, Zhenan
AU - Berggren, Magnus
AU - Berkey, Christopher A.
AU - Bettinger, Christopher John
AU - Chen, Jun
AU - Chen, Peng
AU - Cheng, Wenlong
AU - Cheng, Xu
AU - Choi, Seon Jin
AU - Chortos, Alex
AU - Dagdeviren, Canan
AU - Dauskardt, Reinhold H.
AU - Di, Chong An
AU - Dickey, Michael D.
AU - Duan, Xiangfeng
AU - Facchetti, Antonio
AU - Fan, Zhiyong
AU - Fang, Yin
AU - Feng, Jianyou
AU - Feng, Xue
AU - Gao, Huajian
AU - Gao, Wei
AU - Gong, Xiwen
AU - Guo, Chuan Fei
AU - Guo, Xiaojun
AU - Hartel, Martin C.
AU - He, Zihan
AU - Ho, John S.
AU - Hu, Youfan
AU - Huang, Qiyao
AU - Huang, Yu
AU - Huo, Fengwei
AU - Hussain, Muhammad M.
AU - Javey, Ali
AU - Jeong, Unyong
AU - Jiang, Chen
AU - Jiang, Xingyu
AU - Kang, Jiheong
AU - Karnaushenko, Daniil
AU - Khademhosseini, Ali
AU - Kim, Dae Hyeong
AU - Kim, Il Doo
AU - Kireev, Dmitry
AU - Kong, Lingxuan
AU - Lee, Chengkuo
AU - Lee, Nae Eung
AU - Lee, Pooi See
AU - Lee, Tae Woo
AU - Li, Fengyu
AU - Li, Jinxing
AU - Liang, Cuiyuan
AU - Lim, Chwee Teck
AU - Lin, Yuanjing
AU - Lipomi, Darren J.
AU - Liu, Jia
AU - Liu, Kai
AU - Liu, Nan
AU - Liu, Ren
AU - Liu, Yuxin
AU - Liu, Yuxuan
AU - Liu, Zhiyuan
AU - Liu, Zhuangjian
AU - Loh, Xian Jun
AU - Lu, Nanshu
AU - Lv, Zhisheng
AU - Magdassi, Shlomo
AU - Malliaras, George G.
AU - Matsuhisa, Naoji
AU - Nathan, Arokia
AU - Niu, Simiao
AU - Pan, Jieming
AU - Pang, Changhyun
AU - Pei, Qibing
AU - Peng, Huisheng
AU - Qi, Dianpeng
AU - Ren, Huaying
AU - Rogers, John A.
AU - Rowe, Aaron
AU - Schmidt, Oliver G.
AU - Sekitani, Tsuyoshi
AU - Seo, Dae Gyo
AU - Shen, Guozhen
AU - Sheng, Xing
AU - Shi, Qiongfeng
AU - Someya, Takao
AU - Song, Yanlin
AU - Stavrinidou, Eleni
AU - Su, Meng
AU - Sun, Xuemei
AU - Takei, Kuniharu
AU - Tao, Xiao Ming
AU - Tee, Benjamin C.K.
AU - Thean, Aaron Voon Yew
AU - Trung, Tran Quang
AU - Wan, Changjin
AU - Wang, Huiliang
AU - Wang, Joseph
AU - Wang, Ming
AU - Wang, Sihong
AU - Wang, Ting
AU - Wang, Zhong Lin
AU - Weiss, Paul S.
AU - Wen, Hanqi
AU - Xu, Sheng
AU - Xu, Tailin
AU - Yan, Hongping
AU - Yan, Xuzhou
AU - Yang, Hui
AU - Yang, Le
AU - Yang, Shuaijian
AU - Yin, Lan
AU - Yu, Cunjiang
AU - Yu, Guihua
AU - Yu, Jing
AU - Yu, Shu Hong
AU - Yu, Xinge
AU - Zamburg, Evgeny
AU - Zhang, Haixia
AU - Zhang, Xiangyu
AU - Zhang, Xiaosheng
AU - Zhang, Xueji
AU - Zhang, Yihui
AU - Zhang, Yu
AU - Zhao, Siyuan
AU - Zhao, Xuanhe
AU - Zheng, Yuanjin
AU - Zheng, Yu Qing
AU - Zheng, Zijian
AU - Zhou, Tao
AU - Zhu, Bowen
AU - Zhu, Ming
AU - Zhu, Rong
AU - Zhu, Yangzhi
AU - Zhu, Yong
AU - Zou, Guijin
AU - Chen, Xiaodong
N1 - Funding Information: Y.L., Z.L., M.Z., and X.C. acknowledge the National Research Foundation, Singapore (NRF) under NRF’s Medium Sized Centre: Singapore Hybrid-Integrated Next-Generation μ-Electronics (SHINE) Centre funding programme, and AME programming funding scheme of Cyber Physiochemical Interface (CPI) project (no. A18A1b0045). Y.L. acknowledges National Natural Science Foundation of China (62201243). C.J. acknowledges funding support from the National Key R&D Program of China (no. 2019YFA0706100), the National Natural Science Foundation of China (82151305), Lingang Laboratory (LG-QS-202202-09). T.Q.T. and N.E.L. acknowledge support by the Basic Science Research Program (no. 2020R1A2C3013480) through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT. A.F. acknowledges the AFOSR (grant FA9550-22-1-0423). Y.L. and Y.Z. would like to acknowledge the NSF (award no. 2134664) and NIH (award no. R01HD108473) for financial support. X.F. acknowledges the support from the National Natural Science Foundation of China (grant no. U20A6001). L.Y. would like to thank the A*STAR Central Research Fund (CRF) and the AME Programmatic A18A1b0045 (Cyber Physiochemical Interfaces) for funding support. C.F.G. acknowledges the National Natural Science Foundation of China (no. T2225017). T.Q.T. acknowledges the Brain Pool Program (No. 2020H1D3A2A02111068) through the National Research Foundation (NRF) funded by the Ministry of Science. Z.L. acknowledges the support from RIE2020 AME Programmatic Grant funded by A*STAR-SERC, Singapore (Grant No. A18A1b0045). X.G. acknowledges funding support through the Shanghai Science and Technology Commission (grant no. 19JC1412400), the National Science Fund for Excellent Young Scholars (grant no. 61922057). C.D. acknowledges National Science Foundation CAREER: Conformable Piezoelectrics for Soft Tissue Imaging (grant no. 2044688) and MIT Media Lab Consortium funding. D.K. and O.G.S. acknowledge Leibniz Association and the German Research Foundation DFG (Gottfried Wilhelm Leibniz Program SCHM 1298/22-1, KA5051/1-1 and KA 5051/3-1), as well as the Leibniz association (Leibniz Transfer Program T62/2019). C.W. acknowledges the National Key Research and Development Program of China (grant no. 2021YFA1202600), National Natural Science Foundation of China (grant no. 62174082). A.V.-Y.T., E.Z., Y.Z., X.Z., and J.P. acknowledge the National Research Foundation, Singapore (NRF) under NRF’s Medium Sized Centre: Singapore Hybrid-Integrated Next-Generation μ-Electronics (SHINE) Centre funding programme, and AME programming funding scheme of Cyber Physiochemical Interface (CPI) project (no. A18A1b0045). R.Z. acknowledges National Natural Science Foundation of China (grant no. 51735007) and Beijing Natural Science Foundation (grant no. 3191001). N.M. acknowledges the support by JST PRESTO Grant Number JPMJPR20B7 and JST Adaptable and Seamless Technology transfer Program through Target-driven R&D (A-STEP) grant number JPMJTM22BK. C.P. acknowledges the Korean government (Ministry of Science and ICT, MSIT) (2022R1A4A3032923). M.W. acknowledges the National Key R&D Program of China under Grant (2021YFB3601200). X.Z. acknowledges National Natural Science Foundation of China (no. 62074029). S.X. acknowledges the 3M nontenured faculty award. T.-W.L. and D.-G.S. acknowledge the Pioneer Research Center Program through the National Research Foundation of Korea funded by the Ministry of Science, ICT & Future Planning (grant no. NRF-2022M3C1A3081211). C.T.L. would like to acknowledge support from the Institute for Health Innovation and Technology (iHealthtech), the MechanoBioEngineering Laboratory at the Department of Biomedical Engineering and the Institute for Functional Intelligent Materials (I-FIM) at the National University of Singapore (NUS). C.T.L. also acknowledges support from the National Research Foundation and A*STAR, under its RIE2020 Industry Alignment Fund – Industry Collaboration Projects (IAF-ICP) (grant no. I2001E0059) – SIA-NUS Digital Aviation Corp Lab and the NUS ARTIC Research (grant no. HFM-RP1). X.Y. acknowledges funding support by City University of Hong Kong (grant no. 9667221). T.X. and X.Z. acknowledge National Natural Science Foundation of China (22234006). B.C.K.T. acknowledges Cyber-Physiochemical Interfaces CPI, A*STAR A18A1b0045. H.G. acknowledges a research start-up grant (002479-00001) from Nanyang Technological University and the Agency for Science, Technology and Research (A*STAR) in Singapore. W.G. acknowledges National Science Foundation grant 2145802. D.J.L. acknowledges support from the US National Science Foundation grant number CBET-2223566. G.Y. acknowledges support from The Welch Foundation award F-1861, and Camille Dreyfus Teacher-Scholar Award. M.D.D. acknowledges funding support from NSF (grant no. EEC-1160483). J.-H.A acknowledges the National Research Foundation of Korea (NRF-2015R1A3A2066337). J.C. acknowledges the Henry Samueli School of Engineering & Applied Science and the Department of Bioengineering at the University of California, Los Angeles for startup support and a Brain & Behavior Research Foundation Young Investigator Grant. K.T. acknowledges JST AIP Accelerated Program (no. JPMJCR21U1) and JSPS KAKENHI (grant no. JP22H00594). P.S.W. acknowledges the National Science Foundation (CMMI-1636136) for support. A.M.A., M.C.H., and P.S.W. thank the National Institute on Drug Abuse (DA045550) for support. S.M. and X.C. appreciated the support from the Smart Grippers for Soft Robotics (SGSR) Programme under the National Research Foundation, Prime Minister’s Office, Singapore under its Campus of Research Excellence and Technological Enterprise (CREATE) programme. Publisher Copyright: © 2023 American Chemical Society. All rights reserved.
PY - 2023/3/28
Y1 - 2023/3/28
N2 - Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative efforts, scientific breakthroughs can be made sooner and capitalized for the betterment of humanity.
AB - Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative efforts, scientific breakthroughs can be made sooner and capitalized for the betterment of humanity.
KW - bioelectronics
KW - body area sensor networks
KW - conformable sensors
KW - flexible electronics
KW - human-machine interfaces
KW - mechanics engineering
KW - soft materials
KW - sustainable electronics
KW - technology translation
UR - http://www.scopus.com/inward/record.url?scp=85150042634&partnerID=8YFLogxK
U2 - 10.1021/acsnano.2c12606
DO - 10.1021/acsnano.2c12606
M3 - Review article
C2 - 36892156
AN - SCOPUS:85150042634
SN - 1936-0851
VL - 17
SP - 5211
EP - 5295
JO - ACS Nano
JF - ACS Nano
IS - 6
ER -