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Division of Biomedical Technology
1. Journal Articles
Graphene-Liquid Crystal Synergy: Advancing Sensor Technologies across Multiple Domains
Adeshina, Mohammad Awwal
;
Ogunleye, Abdulazeez M.
;
Lee, Hakseon
;
Mareddi, Bharathkumar
;
Kim, Hyunmin
;
Park, Jonghoo
Division of Biomedical Technology
1. Journal Articles
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Title
Graphene-Liquid Crystal Synergy: Advancing Sensor Technologies across Multiple Domains
Issued Date
2024-09
Citation
Adeshina, Mohammad Awwal. (2024-09). Graphene-Liquid Crystal Synergy: Advancing Sensor Technologies across Multiple Domains. Materials, 17(17). doi: 10.3390/ma17174431
Type
Article
Author Keywords
liquid crystal
;
graphene
;
sensors
ISSN
1996-1944
Abstract
This review explores the integration of graphene and liquid crystals to advance sensor technologies across multiple domains, with a focus on recent developments in thermal and infrared sensing, flexible actuators, chemical and biological detection, and environmental monitoring systems. The synergy between graphene’s exceptional electrical, optical, and thermal properties and the dynamic behavior of liquid crystals leads to sensors with significantly enhanced sensitivity, selectivity, and versatility. Notable contributions of this review include highlighting key advancements such as graphene-doped liquid crystal IR detectors, shape-memory polymers for flexible actuators, and composite hydrogels for environmental pollutant detection. Additionally, this review addresses ongoing challenges in scalability and integration, providing insights into current research efforts aimed at overcoming these obstacles. The potential for multi-modal sensing, self-powered devices, and AI integration is discussed, suggesting a transformative impact of these composite sensors on various sectors, including health, environmental monitoring, and technology. This review demonstrates how the fusion of graphene and liquid crystals is pushing the boundaries of sensor technology, offering more sensitive, adaptable, and innovative solutions to global challenges. © 2024 by the authors.
URI
http://hdl.handle.net/20.500.11750/57330
DOI
10.3390/ma17174431
Publisher
MDPI
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