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Li J, Warren-Smith SC, McLaughlin RA, Ebendorff-Heidepriem H. Single-fiber probes for combined sensing and imaging in biological tissue: recent developments and prospects. BIOMEDICAL OPTICS EXPRESS 2024; 15:2392-2405. [PMID: 38633092 PMCID: PMC11019705 DOI: 10.1364/boe.517920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 02/28/2024] [Accepted: 02/29/2024] [Indexed: 04/19/2024]
Abstract
Single-fiber-based sensing and imaging probes enable the co-located and simultaneous observation and measurement (i.e., 'sense' and 'see') of intricate biological processes within deep anatomical structures. This innovation opens new opportunities for investigating complex physiological phenomena and potentially allows more accurate diagnosis and monitoring of disease. This prospective review starts with presenting recent studies of single-fiber-based probes for concurrent and co-located fluorescence-based sensing and imaging. Notwithstanding the successful initial demonstration of integrated sensing and imaging within single-fiber-based miniaturized devices, the realization of these devices with enhanced sensing sensitivity and imaging resolution poses notable challenges. These challenges, in turn, present opportunities for future research, including the design and fabrication of complex lens systems and fiber architectures, the integration of novel materials and other sensing and imaging techniques.
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Affiliation(s)
- Jiawen Li
- School of Electrical and Mechanical Engineering, The University of Adelaide, South Australia, 5005, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, South Australia, 5005, Australia
| | - Stephen C. Warren-Smith
- Institute for Photonics and Advanced Sensing, The University of Adelaide, South Australia, 5005, Australia
- Future Industries Institute, The University of South Australia, Mawson Lakes, South Australia, 5095, Australia
| | - Robert A. McLaughlin
- Institute for Photonics and Advanced Sensing, The University of Adelaide, South Australia, 5005, Australia
- Faculty of Health and Medical Sciences, The University of Adelaide, South Australia, 5005, Australia
| | - Heike Ebendorff-Heidepriem
- Institute for Photonics and Advanced Sensing, The University of Adelaide, South Australia, 5005, Australia
- School of Physics, Chemistry and Earth Sciences, The University of Adelaide, South Australia, 5005, Australia
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Wang J, Zhang D, Wang D, Xu Z, Zhang H, Chen X, Wang Z, Xia H, Cai H. Efficient Fabrication of TPU/MXene/Tungsten Disulfide Fibers with Ultra-Fast Response for Human Respiratory Pattern Recognition and Disease Diagnosis via Deep Learning. ACS APPLIED MATERIALS & INTERFACES 2023; 15:37946-37956. [PMID: 37523446 DOI: 10.1021/acsami.3c07589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
Flexible wearable pressure sensors have received increasing attention as the potential application of flexible wearable devices in human health monitoring and artificial intelligence. However, the complex and expensive process of the conductive filler has limited its practical production and application on a large scale to a certain extent. This study presents a kind of piezoresistive sensor by sinking nonwoven fabrics (NWFs) into tungsten disulfide (WS2) and Ti3C2Tx MXene solutions. With the advantages of a simple production process and practicality, it is conducive to the realization of large-scale production. The assembled flexible pressure sensor exhibits high sensitivity (45.81 kPa-1), wide detection range (0-410 kPa), fast response/recovery time (18/36 ms), and excellent stability and long-term durability (up to 5000 test cycles). Because of the high elastic modulus of MXene and the synergistic effect between WS2 and MXene, the detection range and sensitivity of the piezoresistive pressure sensor are greatly improved, realizing the stable detection of human motion status in all directions. Meanwhile, its high sensitivity at low pressure allows the sensor to accurately detect weak signals such as weak airflow and wrist pulses. In addition, combining the sensor with deep-learning makes it easy to recognize human respiratory patterns with high accuracy, demonstrating its potential impact in the fields of ergonomics and low-cost flexible electronics.
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Affiliation(s)
- Jun Wang
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Dongzhi Zhang
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Dongyue Wang
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Zhenyuan Xu
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Hao Zhang
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Xiaoya Chen
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Zihu Wang
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Hui Xia
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Haolin Cai
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
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Ma JN, Zhang YL, Han DD, Sun HB. Reconfigurable, Reversible, and Redefinable Deformation of GO Based on Quantum-Confined-Superfluidics Effect. NANO LETTERS 2022; 22:8093-8100. [PMID: 36201184 DOI: 10.1021/acs.nanolett.2c02212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Graphene oxide (GO) films with natural "quantum-confined-superfluidics" (QSF) channels for moisture actuation have emerged as a smart material for actuators and soft robots. However, programming the deformation of GO by engineering QSF nanochannels around 1 nm is extremely challenging. Herein, we report the reconfigurable, reversible, and redefinable deformation of GO under moisture actuation by tailoring QSF channels via moisture-assisted strain-induced wrinkling (MSW). The shape fixity ratio of a general GO film can reach ∼84% after the MSW process, and the shape recovery ratio is ∼83% at room temperature under moisture actuation. The flexible shaping and deformation abilites, as well as the self-healing property of GO make it possible to fabricate soft robots using GO. Besides, as a proof-of-concept, passive electronics and soft robots capable of crawling, turning, switching circuit, and automatic somersault are demonstrated. With unique shaping and deformation abilities, GO may bring great implications for future soft robotics.
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Affiliation(s)
- Jia-Nan Ma
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, 2699 Qianjin Street, Changchun130012, China
- Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan030024, China
| | - Yong-Lai Zhang
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, 2699 Qianjin Street, Changchun130012, China
| | - Dong-Dong Han
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, 2699 Qianjin Street, Changchun130012, China
| | - Hong-Bo Sun
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing100084, China
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Lin H, Zhang Z, Zhang H, Lin KT, Wen X, Liang Y, Fu Y, Lau AKT, Ma T, Qiu CW, Jia B. Engineering van der Waals Materials for Advanced Metaphotonics. Chem Rev 2022; 122:15204-15355. [PMID: 35749269 DOI: 10.1021/acs.chemrev.2c00048] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The outstanding chemical and physical properties of 2D materials, together with their atomically thin nature, make them ideal candidates for metaphotonic device integration and construction, which requires deep subwavelength light-matter interaction to achieve optical functionalities beyond conventional optical phenomena observed in naturally available materials. In addition to their intrinsic properties, the possibility to further manipulate the properties of 2D materials via chemical or physical engineering dramatically enhances their capability, evoking new science on light-matter interaction, leading to leaped performance of existing functional devices and giving birth to new metaphotonic devices that were unattainable previously. Comprehensive understanding of the intrinsic properties of 2D materials, approaches and capabilities for chemical and physical engineering methods, the resulting property modifications and novel functionalities, and applications of metaphotonic devices are provided in this review. Through reviewing the detailed progress in each aspect and the state-of-the-art achievement, insightful analyses of the outstanding challenges and future directions are elucidated in this cross-disciplinary comprehensive review with the aim to provide an overall development picture in the field of 2D material metaphotonics and promote rapid progress in this fast emerging and prosperous field.
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Affiliation(s)
- Han Lin
- School of Science, RMIT University, Melbourne, Victoria 3000, Australia.,The Australian Research Council (ARC) Industrial Transformation Training, Centre in Surface Engineering for Advanced Materials (SEAM), Swinburne University of Technology, Hawthorn, Victoria 3122, Australia
| | - Zhenfang Zhang
- School of Textile Science and Engineering, Xi'an Polytechnic University, Xi'an 710048, China
| | - Huihui Zhang
- Centre for Translational Atomaterials, School of Science, Computing and Engineering Technologies, Swinburne University of Technology, P.O. Box 218, Hawthorn, Victoria 3122, Australia
| | - Keng-Te Lin
- School of Science, RMIT University, Melbourne, Victoria 3000, Australia
| | - Xiaoming Wen
- Centre for Translational Atomaterials, School of Science, Computing and Engineering Technologies, Swinburne University of Technology, P.O. Box 218, Hawthorn, Victoria 3122, Australia
| | - Yao Liang
- Centre for Translational Atomaterials, School of Science, Computing and Engineering Technologies, Swinburne University of Technology, P.O. Box 218, Hawthorn, Victoria 3122, Australia
| | - Yang Fu
- Centre for Translational Atomaterials, School of Science, Computing and Engineering Technologies, Swinburne University of Technology, P.O. Box 218, Hawthorn, Victoria 3122, Australia
| | - Alan Kin Tak Lau
- Centre for Translational Atomaterials, School of Science, Computing and Engineering Technologies, Swinburne University of Technology, P.O. Box 218, Hawthorn, Victoria 3122, Australia
| | - Tianyi Ma
- School of Science, RMIT University, Melbourne, Victoria 3000, Australia.,Centre for Translational Atomaterials, School of Science, Computing and Engineering Technologies, Swinburne University of Technology, P.O. Box 218, Hawthorn, Victoria 3122, Australia
| | - Cheng-Wei Qiu
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Baohua Jia
- School of Science, RMIT University, Melbourne, Victoria 3000, Australia.,The Australian Research Council (ARC) Industrial Transformation Training, Centre in Surface Engineering for Advanced Materials (SEAM), Swinburne University of Technology, Hawthorn, Victoria 3122, Australia.,Centre for Translational Atomaterials, School of Science, Computing and Engineering Technologies, Swinburne University of Technology, P.O. Box 218, Hawthorn, Victoria 3122, Australia
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