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Lei X, Fan H, Zhao Y, Zhong M, Wu Z, Li L, Li S, Xing X, Liu J, Sun Y, Jiang Y, Ren G. MXene-Enhanced Laser-Induced Graphene Flexible Sensor with Rapid Response for Monitoring Pilots' Body Motion. MICROMACHINES 2025; 16:513. [PMID: 40428640 PMCID: PMC12114579 DOI: 10.3390/mi16050513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/03/2025] [Revised: 04/21/2025] [Accepted: 04/24/2025] [Indexed: 05/29/2025]
Abstract
Flexible wearable strain sensors demonstrate promising application prospects in health monitoring, human-machine interaction, motion tracking, and the detection of human physiological signals. Although laser-induced graphene (LIG) materials have been extensively utilized in these scenarios, traditional types of LIG sensors are constrained by intrinsic limitations, including discontinuous conductive networks and electromechanical responsive hysteresis. These limitations hinder their applications in micro-strain detection scenarios. Consequently, enhancing the performance of LIG-based sensors has become a crucial priority. To address this challenge, we developed a novel MXene/LIG composite featuring optimized conductive networks and interfacial coupling effects through the systematic enhancement of LIG. The flexible strain sensor fabricated using this composite exhibits exceptional performance, including an ultra-low sheet resistance of 14.1 Ω, a high sensitivity of 20.7, a micro-strain detection limit of 0.05%, and a rapid response time of approximately 65 ms. These improvements significantly enhance electromechanical responsiveness and strain detection sensitivity. Furthermore, the sensor exhibits remarkable stability under varying tensile strains, particularly showing outstanding repeatability across 2500 cyclic tests. Notably, when applied to the pilot health monitoring scenarios, the MXene/LIG-based sensor demonstrates robust capability in detecting body movement signals such as micro-expressions and joint movements. This establishes a novel and highly effective technological solution for the real-time monitoring of pilots' motion states during operational scenarios.
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Affiliation(s)
- Xia Lei
- College of Aviation and Electronics and Electrical, Civil Aviation Flight University of China, Deyang 618307, China; (X.L.); (H.F.); (Z.W.); (X.X.); (J.L.); (Y.S.)
| | - Hongyun Fan
- College of Aviation and Electronics and Electrical, Civil Aviation Flight University of China, Deyang 618307, China; (X.L.); (H.F.); (Z.W.); (X.X.); (J.L.); (Y.S.)
| | - Yilin Zhao
- Faculty of Chemical Engineering, Kunming University of Science and Technology, Kunming 650500, China;
| | - Mian Zhong
- College of Aviation and Electronics and Electrical, Civil Aviation Flight University of China, Deyang 618307, China; (X.L.); (H.F.); (Z.W.); (X.X.); (J.L.); (Y.S.)
| | - Zhanghui Wu
- College of Aviation and Electronics and Electrical, Civil Aviation Flight University of China, Deyang 618307, China; (X.L.); (H.F.); (Z.W.); (X.X.); (J.L.); (Y.S.)
| | - Lin Li
- School of Mathematics and Physics, Southwest University of Science and Technology, Mianyang 621010, China; (L.L.); (Y.J.)
| | - Shouqing Li
- Civil Aviation Administration of China Academy, Civil Aviation Flight University of China, Deyang 618307, China;
| | - Xiaoqing Xing
- College of Aviation and Electronics and Electrical, Civil Aviation Flight University of China, Deyang 618307, China; (X.L.); (H.F.); (Z.W.); (X.X.); (J.L.); (Y.S.)
| | - Jianhua Liu
- College of Aviation and Electronics and Electrical, Civil Aviation Flight University of China, Deyang 618307, China; (X.L.); (H.F.); (Z.W.); (X.X.); (J.L.); (Y.S.)
| | - Yibo Sun
- College of Aviation and Electronics and Electrical, Civil Aviation Flight University of China, Deyang 618307, China; (X.L.); (H.F.); (Z.W.); (X.X.); (J.L.); (Y.S.)
| | - Yong Jiang
- School of Mathematics and Physics, Southwest University of Science and Technology, Mianyang 621010, China; (L.L.); (Y.J.)
| | - Guogang Ren
- School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, Hertfordshire AL10 9AB, UK
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Kim T, Pak JJ. Fabrication and Characterization of a Flexible Non-Enzymatic Electrochemical Glucose Sensor Using a Cu Nanoparticle/Laser-Induced Graphene Fiber/Porous Laser-Induced Graphene Network Electrode. SENSORS (BASEL, SWITZERLAND) 2025; 25:2341. [PMID: 40218852 PMCID: PMC11991655 DOI: 10.3390/s25072341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2025] [Revised: 03/22/2025] [Accepted: 04/01/2025] [Indexed: 04/14/2025]
Abstract
We demonstrate a flexible electrochemical biosensor for non-enzymatic glucose detection under different bending conditions. The novel flexible glucose sensor consists of a Cu nanoparticle (NP)/laser-induced graphene fiber (LIGF)/porous laser-induced graphene (LIG) network structure on a polyimide film. The bare LIGF/LIG electrode fabricated using an 8.9 W laser power shows a measured sheet resistance and thickness of 6.8 Ω/□ and ~420 μm, respectively. In addition, a conventional Cu NP electroplating method is used to fabricate a Cu/LIGF/LIG electrode-based glucose sensor that shows excellent glucose detection characteristics, including a sensitivity of 1438.8 µA/mM∙cm2, a limit of detection (LOD) of 124 nM, and a broad linear range at an applied potential of +600 mV. Significantly, the Cu/LIGF/LIG electrode-based glucose sensor exhibits a relatively high sensitivity, low LOD, good linear detection range, and long-term stability at bending angles of 0°, 45°, 90°, 135°, and 180°.
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Affiliation(s)
| | - James Jungho Pak
- School of Electrical Engineering, Korea University, Seoul 136-713, Republic of Korea;
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Asgharian H, Kammarchedu V, Soltan Khamsi P, Brustoloni C, Ebrahimi A. Multi-Electrode Extended Gate Field Effect Transistors Based on Laser-Induced Graphene for the Detection of Vitamin C and SARS-CoV-2. ACS APPLIED MATERIALS & INTERFACES 2024; 16:63142-63154. [PMID: 39470169 DOI: 10.1021/acsami.4c11393] [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: 10/30/2024]
Abstract
Despite the clinical data showing the importance of ascorbic acid (AA or vitamin C) in managing viral respiratory infections, biosensors for their simultaneous detection are lacking. To address this need, we developed a portable and wireless device for simultaneous detection of AA and SARS-CoV-2 virus by integrating commercial transistors with printed laser-induced graphene (LIG) as the extended gate. We studied the effect of laser printing pass number and showed that with two laser printing passes (2-pass LIG), the sensor sensitivity and limit of detection (LOD) for AA improved by a factor of 1.6 and 12.8, respectively. Using complementary characterization methods, we attribute the improved response to a balanced interplay of crystallinity, defect density, surface area, surface roughness, pore density and diameter, and mechanical integrity/stability. These factors enhance analyte transport, reduce noise/variability, and ensure consistent sensor performance, making 2-pass LIG the most effective material in this work. Our sensors exhibit promising performance for detecting AA with a selective response in the presence of common salivary interfering molecules, with sensitivity and LOD of 73.67 mV/dec and 54.04 nM in 1× phosphate buffered saline and 81.05 mV/dec and 78.34 nM in artificial saliva, respectively. We also showed that functionalization of the 2-pass LIG gate with S-protein antibody enables the detection of SARS-CoV-2 protein antigens with an ultralow LOD of 52 zg/mL─an improvement of more than 10-fold compared to 1-pass LIG─and 4 particles/mL for virion mimics with a selective response against influenza virus and multiple human coronavirus strains. With low signal drift/hysteresis and wireless capabilities, the developed device holds great potential for improving at-home monitoring and clinical decision-making.
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Affiliation(s)
- Heshmat Asgharian
- Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Vinay Kammarchedu
- Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Center for Atomically Thin Multifunctional Coatings, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Pouya Soltan Khamsi
- Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Caroline Brustoloni
- Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Aida Ebrahimi
- Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Center for Atomically Thin Multifunctional Coatings, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Department of Biomedical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
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