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Bong JH, Grebenchuk S, Nikolaev KG, Chee CPT, Yang K, Chen S, Baranov D, Woods CR, Andreeva DV, Novoselov KS. Graphene oxide-DNA/graphene oxide-PDDA sandwiched membranes with neuromorphic function. Nanoscale Horiz 2024; 9:863-872. [PMID: 38533738 DOI: 10.1039/d3nh00570d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
The behavior of polyelectrolytes in confined spaces has direct relevance to the protein mediated ion transport in living organisms. In this paper, we govern lithium chloride transport by the interface provided by polyelectrolytes, polycation, poly(diallyldimethylammonium chloride) (PDDA) and, polyanion, double stranded deoxyribonucleic acid (dsDNA), in confined graphene oxide (GO) membranes. Polyelectrolyte-GO interfaces demonstrate neuromorphic functions that were successfully applied with nanochannel ion interactions contributed, resulting in ion memory effects. Excitatory and inhibitory post-synaptic currents were tuned continuously as the number of pulses applied increased accordingly, increasing decay times. Furthermore, we demonstrated the short-term memory of a trained vs untrained device in computation. On account of its simple and safe production along with its robustness and stability, we anticipate our device to be a low dimensional building block for arrays to embed artificial neural networks in hardware for neuromorphic computing. Additionally, incorporating such devices with sensing and actuating parts for a complete feedback loop produces robotics with its own ability to learn by modifying actuation based on sensing data.
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Affiliation(s)
- Jia Hui Bong
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
- Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore
| | - Sergey Grebenchuk
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
- Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore
| | - Konstantin G Nikolaev
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
| | - Celestine P T Chee
- Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore
| | - Kou Yang
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
| | - Siyu Chen
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
- Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore
| | - Denis Baranov
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
| | - Colin R Woods
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
- Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore
| | - Daria V Andreeva
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
- Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore
| | - Kostya S Novoselov
- Institute for Functional Intelligent Materials, National University of Singapore, 117544, Singapore.
- Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore
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Jiang X, Shi C, Wang Z, Huang L, Chi L. Healthcare Monitoring Sensors Based on Organic Transistors: Surface/Interface Strategy and Performance. Adv Mater 2024; 36:e2308952. [PMID: 37951211 DOI: 10.1002/adma.202308952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/16/2023] [Indexed: 11/13/2023]
Abstract
Organic transistors possess inherent advantages such as flexibility, biocompatibility, customizable chemical structures, solution-processability, and amplifying capabilities, making them highly promising for portable healthcare sensor applications. Through convenient and diverse modifications at the material and device surfaces or interfaces, organic transistors allow for a wide range of sensor applications spanning from chemical and biological to physical sensing. In this comprehensive review, the surface and interface engineering aspect associated with four types of typical healthcare sensors is focused. The device operation principles and sensing mechanisms are systematically analyzed and highlighted, and particularly surface/interface functionalization strategies that contribute to the enhancement of sensing performance are focused. An outlook and perspective on the critical issues and challenges in the field of healthcare sensing using organic transistors are provided as well.
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Affiliation(s)
- Xingyu Jiang
- Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, 199 Ren'ai Road, Suzhou, Jiangsu, 215123, P. R. China
| | - Cheng Shi
- Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, 199 Ren'ai Road, Suzhou, Jiangsu, 215123, P. R. China
| | - Zi Wang
- Suzhou Laboratory, 388 Ruoshui Road, Suzhou, 215123, P. R. China
| | - Lizhen Huang
- Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, 199 Ren'ai Road, Suzhou, Jiangsu, 215123, P. R. China
| | - Lifeng Chi
- Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, 199 Ren'ai Road, Suzhou, Jiangsu, 215123, P. R. China
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Liu H, Song J, Zhao Z, Zhao S, Tian Z, Yan F. Organic Electrochemical Transistors for Biomarker Detections. Adv Sci (Weinh) 2024:e2305347. [PMID: 38263718 DOI: 10.1002/advs.202305347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/16/2023] [Indexed: 01/25/2024]
Abstract
The improvement of living standards and the advancement of medical technology have led to an increased focus on health among individuals. Detections of biomarkers are feasible approaches to obtaining information about health status, disease progression, and response to treatment of an individual. In recent years, organic electrochemical transistors (OECTs) have demonstrated high electrical performances and effectiveness in detecting various types of biomarkers. This review provides an overview of the working principles of OECTs and their performance in detecting multiple types of biomarkers, with a focus on the recent advances and representative applications of OECTs in wearable and implantable biomarker detections, and provides a perspective for the future development of OECT-based biomarker sensors.
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Affiliation(s)
- Hong Liu
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Jiajun Song
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Zeyu Zhao
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Sanqing Zhao
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Zhiyuan Tian
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Feng Yan
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
- Research Institute of Intelligent Wearable Systems, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
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Wu W, Feng K, Wang Y, Wang J, Huang E, Li Y, Jeong SY, Woo HY, Yang K, Guo X. Selenophene Substitution Enabled High-Performance n-Type Polymeric Mixed Ionic-Electronic Conductors for Organic Electrochemical Transistors and Glucose Sensors. Adv Mater 2024; 36:e2310503. [PMID: 37961011 DOI: 10.1002/adma.202310503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 11/06/2023] [Indexed: 11/15/2023]
Abstract
High-performance n-type polymeric mixed ionic-electronic conductors (PMIECs) are essential for realizing organic electrochemical transistors (OECTs)-based low-power complementary circuits and biosensors, but their development still remains a great challenge. Herein, by devising two novel n-type polymers (f-BTI2g-SVSCN and f-BSeI2g-SVSCN) containing varying selenophene contents together with their thiophene-based counterpart as the control, it is demonstrated that gradually increasing selenophene loading in polymer backbones can simultaneously yield lowered lowest unoccupied molecular orbital levels, boosted charge-transport properties, and improved ion-uptake capabilities. Therefore, a remarkable volumetric capacitance (C*) of 387.2 F cm-3 and a state-of-the-art OECT electron mobility (µe,OECT ) of 0.48 cm2 V-1 s-1 are synchronously achieved for f-BSeI2g-SVSCN having the highest selenophene content, yielding an unprecedented geometry-normalized transconductance (gm,norm ) of 71.4 S cm-1 and record figure of merit (µC*) value of 191.2 F cm-1 V-1 s-1 for n-type OECTs. Thanks to such excellent performance of f-BSeI2g-SVSCN-based OECTs, a glucose sensor with a remarkably low detection limit of 10 nMm and decent selectivity is further implemented, demonstrating the power of selenophene substitution strategy in enabling high-performance n-type PMIECs for biosensing applications.
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Affiliation(s)
- Wenchang Wu
- Department of Materials Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, 518055, China
| | - Kui Feng
- Department of Materials Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, 518055, China
| | - Yimei Wang
- Department of Materials Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, 518055, China
| | - Junwei Wang
- Department of Materials Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, 518055, China
| | - Enmin Huang
- Department of Materials Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, 518055, China
| | - Yongchun Li
- Department of Materials Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, 518055, China
| | - Sang Young Jeong
- Department of Chemistry, Korea University, Anamro 145, Seoul, 02841, Republic of Korea
| | - Han Young Woo
- Department of Chemistry, Korea University, Anamro 145, Seoul, 02841, Republic of Korea
| | - Kun Yang
- Department of Materials Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, 518055, China
- College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan, 410080, China
| | - Xugang Guo
- Department of Materials Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, 518055, China
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