Lysine-Assisted Oxygen-Vacancy Engineering of In2O3/TiO2 Nanotube Heterostructures for Room-Temperature Triethylamine Sensing
Triethylamine (TEA), a representative volatile amine generated during seafood spoilage, is an important indicator for freshness evaluation and food-safety monitoring. However, most chemiresistive TEA sensors still rely on elevated operating temperatures, which limits their practical use in on-site analysis. Here, a room-temperature TEA sensing strategy is reported based on lysine-assisted defect engineering of an In2O3/TiO2 heterostructure grown on TiO2 nanotube arrays. By introducing lysine during the growth of an indium metal-organic framework precursor, the thermal conversion behavior of the precursor is modified, facilitating the formation of oxygen-vacancy (OV)-rich In2O3 while preserving the nanotube architecture. The resulting OV-In2O3/TiO2 heterostructure combines defect-activated surface chemistry with heterointerface-induced band bending and depletion-layer modulation, thereby promoting TEA adsorption/activation and accelerating interfacial charge transfer at room temperature. The resulting sensor shows a response of 2.23 toward 10 ppm TEA, fast response/recovery times of 27/50 s, and a detection limit of 37 ppb, together with good selectivity, reproducibility, and stability. A flexible TiO2NTs/Ti-based device further enables real-time monitoring of turbot spoilage, demonstrating its potential for nondestructive seafood freshness evaluation.
Authors
- Zhida Gao (ORCID: https://orcid.org/0000-0002-9804-8170)
- Yahui Cai (ORCID: https://orcid.org/0000-0002-6383-2096)
- Yan‐Yan Song (ORCID: https://orcid.org/0000-0001-5150-4784)
- Pei Song (ORCID: https://orcid.org/0000-0003-4968-8654)
- Yang Du
- Wenwen Zhang
- Yue Zhang
Institutions
- Northeastern University (US)
- Zhejiang University (CN)
Publication Details
- Journal
- ACS Sensors
- Published
- 2026-09-28
- DOI
- https://doi.org/10.1021/acssensors.6c02166
- Primary Topic
- Gas Sensing Nanomaterials and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.00