journal article·2024-03-08

Rapid and Flexible Humidity Sensor Based on Laser-Induced Graphene for Monitoring Human Respiration

Changung Paeng, Arunkumar Shanmugasundaram, Gunwoo We, Taewook Kim, Jongsung Park, Dong-Weon Lee, Changyong Yim

ACS Applied Nano Materials· Volume 7· Issue 5
Publisher page

Abstract

Respiration is an important physiological parameter used to assess human health and metabolic activity. Herein, we propose a laser-induced graphene (LIG)-based humidity sensor for respiratory monitoring. This sensor is fabricated through a combination of laser irradiation and intense pulsed light (IPL) sintering techniques. Initially, an ink containing copper nanoparticles (CuNPs) and graphene nanoplatelets (GnPs) is coated onto a polyimide (PI) substrate. The LIG is formed on the PI film using laser irradiation. To establish a reliable electrical connection between the LIG and the copper electrode, the ink undergoes rapid IPL sintering, resulting in an IPL-sintered copper electrode. This technique not only optimizes the fabrication process but also obviates the need for traditional approaches, such as copper wire bonding, electrode patterning, or the application of conductive paint on the LIG sensor. The humidity-sensing capabilities of the sensor are assessed under various relative humidity (RH) conditions. The sensor’s response escalates from roughly 15 to 92% as RH levels increase from 13 to 67%. The sensor showed minimal response to various potential interfering gases like ammonia, ethanol, carbon monoxide, sulfur dioxide, and nitrogen dioxide (with responses of 0.4, 1.87, 0.102, 0.12, and 0.29%, respectively), confirming its high selectivity for RH (91.2%). Additionally, the sensor demonstrates exemplary reproducibility, as evidenced by its consistent responses (approximately 47.65, 49.13, 48.65, 49.09, and 49.39) over five cycles at 40% RH. The LIG sensor is used to monitor a wide range of respiratory patterns, including normal, slow, fast, and apnea events. The sensor effectiveness is proven through the consistent detection of human breathing patterns over 30 min, demonstrating its stability and reliability for extended use in continuous respiratory monitoring. These findings highlight the significant potential of LIG sensors as advanced precision devices in clinical respiratory monitoring with potential integration into modern medical practices.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · Advanced Sensor and Energy Harvesting Materials · Advanced Chemical Sensor Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Energy Materials & Chemical Engineering, Kyungpook National University (KNU), 2559 Gyeongsang-daero, Sangju-si, Gyeongsangbuk-do 37224, Republic of Korea

MEMS and Nanotechnology Laboratory, School of Mechanical Engineering, Chonnam National University (CNU), Gwangju 61186, Republic of Korea

Advanced Medical Device Research Center for Cardiovascular Disease, Chonnam National University (CNU), Gwangju 61186, Republic of Korea

Department of Energy Chemical Engineering, Kyungpook National University (KNU), 2559 Gyeongsang-daero, Sangju-si, Gyeongsangbuk-do 37224, Republic of Korea

Department of Advanced Science and Technology Convergence, Kyungpook National University (KNU), 2559 Gyeongsang-daero, Sangju-si, Gyeongsangbuk-do 37224, Republic of Korea

Department of Precision Mechanical Engineering, Kyungpook National University (KNU), 2559 Gyeongsang-daero, Sangju-si, Gyeongsangbuk-do 37224, Republic of Korea

Center for Next-Generation Sensor Research and Development, Chonnam National University (CNU), Gwangju 61186, Republic of Korea

Funding

National Research Foundation of Korea

References (61)

Show source-provided references
1. 10.1039/C5TC01171J10.1039/C5TC01171J ↗
2. 10.1021/acssensors.2c0073710.1021/acssensors.2c00737 ↗
3. 10.3109/02770903.2013.83825510.3109/02770903.2013.838255 ↗
4. 10.1088/1361-6579/ab299e10.1088/1361-6579/ab299e ↗
5. 10.1111/j.1440-1843.2010.01854.x10.1111/j.1440-1843.2010.01854.x ↗
6. 10.1021/acs.langmuir.0c0131510.1021/acs.langmuir.0c01315 ↗
7. 10.1016/j.rppnen.2014.08.00210.1016/j.rppnen.2014.08.002 ↗
8. 10.3389/fbioe.2022.107085510.3389/fbioe.2022.1070855 ↗
9. 10.1021/acsami.6b0220610.1021/acsami.6b02206 ↗
10. 10.1016/j.snb.2015.09.05110.1016/j.snb.2015.09.051 ↗
11. 10.1016/j.snb.2017.04.06910.1016/j.snb.2017.04.069 ↗
12. 10.1016/j.snb.2018.05.14010.1016/j.snb.2018.05.140 ↗
13. 10.1021/acs.langmuir.2c0056610.1021/acs.langmuir.2c00566 ↗
14. 10.1021/acsami.9b0570910.1021/acsami.9b05709 ↗
15. 10.1002/advs.20160040410.1002/advs.201600404 ↗
16. 10.1016/j.jhazmat.2018.01.04210.1016/j.jhazmat.2018.01.042 ↗
17. 10.1039/C8MH01160E10.1039/C8MH01160E ↗
18. 10.1039/C7NR01016H10.1039/C7NR01016H ↗
19. 10.1021/acsanm.3c0113110.1021/acsanm.3c01131 ↗
20. 10.1016/j.snb.2022.13153010.1016/j.snb.2022.131530 ↗
21. 10.1021/acsmaterialslett.0c0035510.1021/acsmaterialslett.0c00355 ↗
22. 10.1080/10667857.2018.144726510.1080/10667857.2018.1447265 ↗
23. 10.1063/5.010078510.1063/5.0100785 ↗
24. 10.1016/j.cartre.2023.10027110.1016/j.cartre.2023.100271 ↗
25. 10.1002/admt.20200063010.1002/admt.202000630 ↗
26. 10.1021/acsnano.8b0962210.1021/acsnano.8b09622 ↗
27. 10.1021/acsnano.0c0533010.1021/acsnano.0c05330 ↗
28. 10.1021/acs.nanolett.2c0422810.1021/acs.nanolett.2c04228 ↗
29. 10.1016/j.sna.2014.12.02310.1016/j.sna.2014.12.023 ↗
30. 10.1016/j.snb.2020.12879010.1016/j.snb.2020.128790 ↗
31. 10.1016/j.bios.2020.11236010.1016/j.bios.2020.112360 ↗
32. 10.1016/j.carbon.2017.10.03610.1016/j.carbon.2017.10.036 ↗
33. 10.3390/bios1206039710.3390/bios12060397 ↗
34. 10.1038/ncomms671410.1038/ncomms6714 ↗
35. 10.1021/ja00839a01310.1021/ja00839a013 ↗
36. 10.1021/acsnano.1c0580610.1021/acsnano.1c05806 ↗
37. 10.1021/acsami.6b0782610.1021/acsami.6b07826 ↗
38. 10.1149/1.298805910.1149/1.2988059 ↗
39. 10.1021/acsami.9b1040810.1021/acsami.9b10408 ↗
40. 10.1002/adma.20180362110.1002/adma.201803621 ↗
41. 10.1016/j.cej.2020.12774010.1016/j.cej.2020.127740 ↗
42. 10.1016/j.cej.2022.13773610.1016/j.cej.2022.137736 ↗
43. 10.1016/j.matchemphys.2018.07.04610.1016/j.matchemphys.2018.07.046 ↗
44. 10.1039/C9TA00755E10.1039/C9TA00755E ↗
45. 10.1021/acsami.1c0561410.1021/acsami.1c05614 ↗
46. 10.1039/C6RA00143B10.1039/C6RA00143B ↗
47. 10.1021/acsanm.1c0010110.1021/acsanm.1c00101 ↗
48. 10.1021/acsami.0c1172510.1021/acsami.0c11725 ↗
49. 10.1002/adma.20221185610.1002/adma.202211856 ↗
50. 10.1039/c5ra11454c10.1039/c5ra11454c ↗
51. 10.1016/j.bios.2018.05.03810.1016/j.bios.2018.05.038 ↗
52. 10.1016/j.snb.2014.02.07810.1016/j.snb.2014.02.078 ↗
53. 10.1016/j.matlet.2012.05.07410.1016/j.matlet.2012.05.074 ↗
54. 10.1038/s41598-017-10848-310.1038/s41598-017-10848-3 ↗
55. 10.1039/D0NH00594K10.1039/D0NH00594K ↗
56. 10.1039/C5RA17253E10.1039/C5RA17253E ↗
57. 10.1016/j.vacuum.2021.11064810.1016/j.vacuum.2021.110648 ↗
58. 10.1016/j.snb.2019.03.07010.1016/j.snb.2019.03.070 ↗
59. 10.1016/j.snb.2019.04.08610.1016/j.snb.2019.04.086 ↗
60. 10.3390/mi1105047610.3390/mi11050476 ↗
61. 10.3390/cryst1103028910.3390/cryst11030289 ↗