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Yang Q, Jin W, Zhang Q, Wei Y, Guo Z, Li X, Yang Y, Luo Q, Tian H, Ren TL. Mixed-modality speech recognition and interaction using a wearable artificial throat. NAT MACH INTELL 2023. [DOI: 10.1038/s42256-023-00616-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
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Ismail Z, W Idris WF, Abdullah AH. Graphene-based temperature, humidity, and strain sensor: A review on progress, characterization, and potential applications during Covid-19 pandemic. SENSORS INTERNATIONAL 2022; 3:100183. [PMID: 35633818 PMCID: PMC9126002 DOI: 10.1016/j.sintl.2022.100183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 05/19/2022] [Accepted: 05/19/2022] [Indexed: 11/24/2022] Open
Abstract
Graphene's potential as material for wearable, highly sensitive and robust sensor in various fields of technology has been widely investigated until now in order to capitalize on its unique intrinsic physical and chemical properties. In the wake of Covid-19 pandemic, it has been noticed that there are various potentials roles that can be fulfilled by graphene-based temperature, humidity and strain sensor, whose roles has not been widely explored to date. This paper takes the liberty to mainly highlight the progress layout and characterization technique for graphene-based sensor while including a brief discussion on the possible strategy of sensing data analysis that can be employed to minimize and prevent the risk of Covid-19 infection within a living community. While majority of the reported sensor is still in the in-progress status, its highlighted role in this work may provide a brief idea on how the ongoing research in graphene-based sensor may lead to the future implementation of the device for routine healthcare check-up and diagnostic point-care during and post-pandemic era. On the other hand, the sensitivity and response time data against working temperature, humidity and strain range that are provided could serve as a reference for benchmarking purpose, which certainly would help enthusiast in the development of a graphene-based sensor with a better performance for the future.
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Jiang Q, Li R, Wang F, Shi X, Chen F, Huang Y, Wang B, Zhang W, Wu X, Wei F, Zhang R. Ultrasensitive Airflow Sensors Based on Suspended Carbon Nanotube Networks. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2107062. [PMID: 35245967 DOI: 10.1002/adma.202107062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 02/25/2022] [Indexed: 06/14/2023]
Abstract
High-performance airflow sensors are in great demand in numerous fields but still face many challenges, such as slow response speed, low sensitivity, large detection threshold, and narrow sensing range. Carbon nanotubes (CNTs) exhibit many advantages in fabricating airflow sensors due to their nanoscale diameters, excellent mechanical and electrical properties, and so on. However, the intrinsic extraordinary properties of CNTs are not fully exhibited in previously reported CNT-based airflow sensors due to the mixed structures of macroscale CNT assemblies. Herein, this article presents suspended CNT networks (SCNTNs) as high-performance airflow sensors, which are self-assembled by ultralong CNTs and short CNTs in a one-step floating catalyst chemical vapor deposition process. The SCNTN-based airflow sensors achieved a record-breaking short response time of 0.021 s, a high sensitivity of 0.0124 s m-1 , a small detection threshold of 0.11 m s-1 , and a wide detection range of ≈0.11-5.51 m s-1 , superior to most of the state-of-the-art airflow sensors. To reveal the sensing mechanism, an acoustic response testing system and a mathematical model are developed. It is found that the airflow-caused intertube stress change resulted in the resistance variation of SCNTNs.
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Affiliation(s)
- Qinyuan Jiang
- Department of Chemical Engineering, Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Tsinghua University, Beijing, 100084, China
| | - Run Li
- Department of Chemical Engineering, Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Tsinghua University, Beijing, 100084, China
| | - Fei Wang
- Department of Chemical Engineering, Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Tsinghua University, Beijing, 100084, China
| | - Xiaofei Shi
- Department of Chemical Engineering, Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Tsinghua University, Beijing, 100084, China
| | - Fengxiang Chen
- Department of Chemical Engineering, Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Tsinghua University, Beijing, 100084, China
| | - Ya Huang
- Department of Chemical Engineering, Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Tsinghua University, Beijing, 100084, China
| | - Baoshun Wang
- Department of Chemical Engineering, Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Tsinghua University, Beijing, 100084, China
| | - Wenshuo Zhang
- Department of Chemical Engineering, Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Tsinghua University, Beijing, 100084, China
| | - Xueke Wu
- Department of Chemical Engineering, Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Tsinghua University, Beijing, 100084, China
| | - Fei Wei
- Department of Chemical Engineering, Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Tsinghua University, Beijing, 100084, China
| | - Rufan Zhang
- Department of Chemical Engineering, Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Tsinghua University, Beijing, 100084, China
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Zhang R, Qi L, Lian H, Luo J. Direct printing of surface-embedded stretchable graphene patterns with strong adhesion on viscous substrates. J IND ENG CHEM 2022. [DOI: 10.1016/j.jiec.2022.02.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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Mechanical sensors based on two-dimensional materials: Sensing mechanisms, structural designs and wearable applications. iScience 2022; 25:103728. [PMID: 35072014 PMCID: PMC8762477 DOI: 10.1016/j.isci.2021.103728] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Compared with bulk materials, atomically thin two-dimensional (2D) crystals possess a range of unique mechanical properties, including relatively high in-plane stiffness and large bending flexibility. The atomic 2D building blocks can be reassembled into precisely designed heterogeneous composite structures of various geometries with customized mechanical sensing behaviors. Due to their small specific density, high flexibility, and environmental adaptability, mechanical sensors based on 2D materials can conform to soft and curved surfaces, thus providing suitable solutions for functional applications in future wearable devices. In this review, we summarize the latest developments in mechanical sensors based on 2D materials from the perspective of function-oriented applications. First, typical mechanical sensing mechanisms are introduced. Second, we attempt to establish a correspondence between typical structure designs and the performance/multi-functions of the devices. Afterward, several particularly promising areas for potential applications are discussed, following which we present perspectives on current challenges and future opportunities
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Wang D, Zhang J, Ma G, Fang Y, Liu L, Wang J, Sun T, Zhang C, Meng X, Wang K, Han Z, Niu S, Ren L. A Selective-Response Bioinspired Strain Sensor Using Viscoelastic Material as Middle Layer. ACS NANO 2021; 15:19629-19639. [PMID: 34855345 DOI: 10.1021/acsnano.1c06843] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Flexible strain sensors have an irreplaceable role in critical and emerging fields, such as electronic skins, flexible robots, and prosthetics. Although numerous efforts have been made to improve sensor sensitivity to meet specific application scenarios, the signal-to-noise ratio (SNR) is an extremely critical and non-negligible indicator, which takes into account higher sensitivity, meaning that they can also detect the noise signals with high sensitivity. Coincidentally, scorpions with ultrasensitive vibration sensilla also face such a dilemma. Here, it is found that the scorpion ingeniously uses the viscoelastic material in front of its slit sensilla to realize efficient preprocessing of the signal. Its mechanism is that the loss factor of materials changes with frequency, affecting energy storage and transmission. Inspired by this ingenious strategy, a bioinspired strain sensor insensitive to a low strain rate was designed using a two-step template transfer method. As a result, its relative change in resistance reached 110% under the same strain (0.3197%) but with different strain rates (0.1 Hz and ∼20 Hz). The noncontact vibration experiments also show different responses to low-frequency vibration and high-frequency impact. Moreover, it can also be used as a typical flexible strain sensor. Under the tensile state, it has a gauge factor (GF) as high as 4596 upon 0.6% strain, and the response time is 140 ms. Therefore, it is expected that this strain sensor will be used in many important ultraprecision measurement fields, especially when the measured signal is small.
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Affiliation(s)
- Dakai Wang
- Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
| | - Junqiu Zhang
- Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
| | - Guoliang Ma
- Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
| | - Yuqiang Fang
- Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
- School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China
| | - Linpeng Liu
- Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
| | - Jingxiang Wang
- Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
| | - Tao Sun
- Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
| | - Changchao Zhang
- Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
| | - Xiancun Meng
- Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
| | - Kejun Wang
- Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
- Jiangsu Provincial Key Laboratory of Advanced Robotics, Soochow University, Suzhou 215021, China
| | - Zhiwu Han
- Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
| | - Shichao Niu
- Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
| | - Luquan Ren
- Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
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Khan R, Radoi A, Rashid S, Hayat A, Vasilescu A, Andreescu S. Two-Dimensional Nanostructures for Electrochemical Biosensor. SENSORS (BASEL, SWITZERLAND) 2021; 21:3369. [PMID: 34066272 PMCID: PMC8152006 DOI: 10.3390/s21103369] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 05/04/2021] [Accepted: 05/05/2021] [Indexed: 12/12/2022]
Abstract
Current advancements in the development of functional nanomaterials and precisely designed nanostructures have created new opportunities for the fabrication of practical biosensors for field analysis. Two-dimensional (2D) and three-dimensional (3D) nanomaterials provide unique hierarchical structures, high surface area, and layered configurations with multiple length scales and porosity, and the possibility to create functionalities for targeted recognition at their surface. Such hierarchical structures offer prospects to tune the characteristics of materials-e.g., the electronic properties, performance, and mechanical flexibility-and they provide additional functions such as structural color, organized morphological features, and the ability to recognize and respond to external stimuli. Combining these unique features of the different types of nanostructures and using them as support for bimolecular assemblies can provide biosensing platforms with targeted recognition and transduction properties, and increased robustness, sensitivity, and selectivity for detection of a variety of analytes that can positively impact many fields. Herein, we first provide an overview of the recently developed 2D nanostructures focusing on the characteristics that are most relevant for the design of practical biosensors. Then, we discuss the integration of these materials with bio-elements such as bacteriophages, antibodies, nucleic acids, enzymes, and proteins, and we provide examples of applications in the environmental, food, and clinical fields. We conclude with a discussion of the manufacturing challenges of these devices and opportunities for the future development and exploration of these nanomaterials to design field-deployable biosensors.
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Affiliation(s)
- Reem Khan
- Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699, USA;
| | - Antonio Radoi
- National Institute for Research and Development in Microtechnology—IMT Bucharest, 126A Erou Iancu Nicolae Street, 077190 Voluntari, Romania;
| | - Sidra Rashid
- IRCBM, COMSATS University Islamabad, Lahore Campus, Lahore 54000, Pakistan; (S.R.); (A.H.)
| | - Akhtar Hayat
- IRCBM, COMSATS University Islamabad, Lahore Campus, Lahore 54000, Pakistan; (S.R.); (A.H.)
| | - Alina Vasilescu
- International Centre of Biodynamics, 1B Intrarea Portocalelor, 060101 Bucharest, Romania;
| | - Silvana Andreescu
- Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699, USA;
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