Highly Selective Ammonia Detection in NiO‐Functionalized Graphene Micropatterns for Beef Quality Monitoring

Abstract Graphene has emerged as one of the most promising materials for next‐generation gas sensor platforms due to its high flexibility, transparency, and hydrophobicity. However, graphene shows inherent low selectivity in gas sensing. This has led to extensive development of noble‐metal decoration on graphene to modulate its surface chemistry for enhanced selectivity. While noble metals such as Pt, Pd, and Au have widely been employed to functionalize graphene surface, non‐noble metal decoration of graphene has remained underexplored. Here, an unprecedented room‐temperature self‐activated graphene gas sensor functionalized by NiO nanoparticles and its application to wearable devices monitoring ammonia gas in daily life are demonstrated. NiO‐functionalized graphene micropatterns show ultra‐high selectivity to ammonia with a low detection limit of 2.547 ppt. Density functional theory (DFT) calculations reveal that the strong attraction between NiO and NH 3 induced by charge depletion and the vertex region of NiO accelerate the adsorption of NH 3 molecules. Furthermore, a wearable graphene device demonstrates the capability to detect ammonia emissions from beef, triggering an alarm call when a specific threshold is exceeded. This work proposes the functionalization of graphene with transition metal oxides, extending beyond the conventional noble metal decoration, and the potential utilization of the graphene for wearable devices.

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Publication Details

Journal
Advanced Functional Materials
Published
2024-09-12
DOI
https://doi.org/10.1002/adfm.202407885
Citations
27
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
5.63

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article

Highly Selective Ammonia Detection in NiO‐Functionalized Graphene Micropatterns for Beef Quality Monitoring

Gwan‐Hyoung Lee, Yeonhoo Kim, Ho Won Jang, Seungsoo Kim et al.
27 citations
Advanced Functional Materials
Gas Sensing Nanomaterials and Sensors
5.63
article

Highly Selective Ammonia Detection in NiO‐Functionalized Graphene Micropatterns for Beef Quality Monitoring

Gwan‐Hyoung Lee, Yeonhoo Kim, Ho Won Jang, Seungsoo Kim, Sang Eon Jun, Jaegun Sim, Tae Hoon Eom, Mi‐Hwa Oh, Yun Suk Huh, Jiheon Lim, Byung Hee Hong, Hyeong Seok Lee, Jae Hyun Kim, Taehoon Kim, Seung Ju Kim
article en
27 citations

Abstract

Abstract Graphene has emerged as one of the most promising materials for next‐generation gas sensor platforms due to its high flexibility, transparency, and hydrophobicity. However, graphene shows inherent low selectivity in gas sensing. This has led to extensive development of noble‐metal decoration on graphene to modulate its surface chemistry for enhanced selectivity. While noble metals such as Pt, Pd, and Au have widely been employed to functionalize graphene surface, non‐noble metal decoration of graphene has remained underexplored. Here, an unprecedented room‐temperature self‐activated graphene gas sensor functionalized by NiO nanoparticles and its application to wearable devices monitoring ammonia gas in daily life are demonstrated. NiO‐functionalized graphene micropatterns show ultra‐high selectivity to ammonia with a low detection limit of 2.547 ppt. Density functional theory (DFT) calculations reveal that the strong attraction between NiO and NH 3 induced by charge depletion and the vertex region of NiO accelerate the adsorption of NH 3 molecules. Furthermore, a wearable graphene device demonstrates the capability to detect ammonia emissions from beef, triggering an alarm call when a specific threshold is exceeded. This work proposes the functionalization of graphene with transition metal oxides, extending beyond the conventional noble metal decoration, and the potential utilization of the graphene for wearable devices.

Advanced Functional MaterialsVol. 34(46)
Seoul National University (KR), Inha University (KR), Korea Research Institute of Standards and Science (KR), Rural Development Administration (KR), Advanced Institute of Convergence Technology (KR), National Institute of Animal Science (KR)
National Research Foundation, Seoul National University, Rural Development Administration, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, Institute of Engineering Research, Seoul National University
Openalex Percentile: Top 3%
Gas Sensing Nanomaterials and Sensors
5.63
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