Scalable Photoactive NO2-Sensing Framework for Plant Health Monitoring

  • Cho, Yun-haeng; 
  • Hong, Kootak; 
  • Seo, Jung Hwan; 
  • Chung, Jae Han; 
  • Lee, Jinho; 
  • 외 17명
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초록

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 NO2 sensor based on light-activated 3D TiO2 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 NO2 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.

키워드

3D nanoarchitectures; NO2 sensors; photoactivation; plant monitoring; room temperature; TiO2; wireless microcontrollers; SENSOR; NANOPARTICLES; POLLUTION; DIOXIDE
제목
Scalable Photoactive NO2-Sensing Framework for Plant Health Monitoring
저자
Cho, Yun-haeng; Hong, Kootak; Seo, Jung Hwan; Chung, Jae Han; Lee, Jinho; Nam, Sang-hyeon; Lee, Sunwoo; Lee, Jeong-o; Ahn, Changui; Kim, Hyojung; Han, Jae Hyun; Kim, Gyu-li; Ro, Seong-jun; Hwang, Jun Yeon; Gim, Hyeongyu; Park, Zion; Lee, Chil-hyoung; Kim, Dong-su; Lee, Kwangjae; Shim, Young-seok; Suh, Jun Min; Cho, Donghwi
DOI
10.1002/advs.202518368
발행일
2025-11-06
유형
Article; Early Access
저널명
Advanced Science
권
13
호
5