Scalable Photoactive NO <sub>2</sub> ‐Sensing Framework for Plant Health Monitoring

Conventional sensing platforms for plant health monitoring are often limited by high operating temperatures, rigid substrates, and poor compatibility with ambient, power-constrained, or biologically sensitive environments. These limitations hinder their integration into emerging platforms such as smart agriculture and plant-interfaced electronics, where mechanical flexibility, energy efficiency, and low thermal budgets are essential. This paper reports a scalable, thermally passive NO<sub>2</sub> sensor based on light-activated 3D TiO<sub>2</sub> nanoarchitectures. Fabricated via sequential glancing angle deposition, the highly ordered porous nanoarchitectures exhibit tunable broadband light scattering and defect-mediated sub-bandgap activation under ambient light. Integrated with a wireless microcontroller and mobile application, the sensor enables autonomous NO<sub>2</sub> monitoring in real-world conditions. Field deployment on Mentha suaveolens plants demonstrates real-time tracking of gas-induced physiological stress, establishing practical ecological relevance. This platform overcomes the key limitations of conventional sensors, offering a structurally tunable, spectrally adaptive, and fabrication-scalable solution for light-powered, bio-integrated environmental monitoring.

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Publication Details

Journal
Advanced Science
Published
2025-11-06
DOI
https://doi.org/10.1002/advs.202518368
Citations
1
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.73
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article

Scalable Photoactive NO 2 ‐Sensing Framework for Plant Health Monitoring

Jun Yeon Hwang, Zion Park, Hyeongyu Gim, Jinho Lee et al.
1 citations
Advanced Science
Gas Sensing Nanomaterials and Sensors
0.73
article

Scalable Photoactive NO 2 ‐Sensing Framework for Plant Health Monitoring

Jun Yeon Hwang, Zion Park, Hyeongyu Gim, Jinho Lee, Donghwi Cho, Kootak Hong, Jung Hwan Seo, Jun Min Suh, Gyu‐Li Kim, Young‐Seok Shim, Hyojung Kim, Sunwoo Lee, Changui Ahn, Chil‐Hyoung Lee, Jeong‐O Lee, Sang‐Hyeon Nam, Kwangjae Lee, Dongsu Kim, Jae Hyun Han, Yun‐Haeng Cho, S. T. Ro, Jae Han Chung
article en
1 citations

Abstract

Conventional sensing platforms for plant health monitoring are often limited by high operating temperatures, rigid substrates, and poor compatibility with ambient, power-constrained, or biologically sensitive environments. These limitations hinder their integration into emerging platforms such as smart agriculture and plant-interfaced electronics, where mechanical flexibility, energy efficiency, and low thermal budgets are essential. This paper reports a scalable, thermally passive NO<sub>2</sub> sensor based on light-activated 3D TiO<sub>2</sub> nanoarchitectures. Fabricated via sequential glancing angle deposition, the highly ordered porous nanoarchitectures exhibit tunable broadband light scattering and defect-mediated sub-bandgap activation under ambient light. Integrated with a wireless microcontroller and mobile application, the sensor enables autonomous NO<sub>2</sub> monitoring in real-world conditions. Field deployment on Mentha suaveolens plants demonstrates real-time tracking of gas-induced physiological stress, establishing practical ecological relevance. This platform overcomes the key limitations of conventional sensors, offering a structurally tunable, spectrally adaptive, and fabrication-scalable solution for light-powered, bio-integrated environmental monitoring.

Advanced ScienceVol. 13(5)
Chonnam National University (KR), Corning (United States) (US), Seoul National University (KR), Sangmyung University (KR), Korea Advanced Institute of Science and Technology (KR), Dow Chemical (Japan) (JP), Sejong University (KR), Korea University of Technology and Education (KR), Korea Institute of Ceramic Engineering and Technology (KR), Korea Research Institute of Chemical Technology (KR), Korea Institute of Science and Technology (KR), Massachusetts Institute of Technology (US), Korea University of Science and Technology (KR), Korea Institute of Industrial Technology (KR), Hongik University (KR)
Openalex Percentile: Top 22%
Gas Sensing Nanomaterials and Sensors
0.73
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