Field-Applicable Quartz Crystal Microbalance Sensor Based on H-mTiO <sub>2</sub> @mPDA Nanotubes for Highly Selective and Sensitive Monitoring of <i>Listeria monocytogenes</i> in Ready-to-Eat Foods
<i>Listeria monocytogenes</i> (<i>LM</i>) causes severe foodborne illness with 20-30% mortality, which demands novel and rapid detection methods. Crucially, 3-hydroxy-2-butanone (3H2B) comprises 32.2% of the <i>LM</i>-emitted volatiles, serving as a specific biomarker for indirect <i>LM</i> monitoring. Mesoporous polydopamine (mPDA)-functionalized hollow mesoporous TiO<sub>2</sub> nanotubes (H-mTiO<sub>2</sub>@mPDA) are rationally engineered via cooperative assembly for constructing quartz crystal microbalance gas sensors to detect 3H2B. Optimized H-mTiO<sub>2</sub>@mPDA-2 sensors demonstrate exceptional performance, including high sensitivity (6.8 Hz/ppm), rapid response/recovery (7:9 s), and outstanding selectivity. The comparative experiments against <i>Escherichia coli</i> and <i>Staphylococcus aureus</i> in ready-to-eat foods, along with practical assessments of ham and lettuce samples, illustrate the sensor's remarkable potential for <i>LM</i> evaluation. Moreover, morphology characterizations, Gaussian simulations, thermodynamic analysis coupled with the Clausius-Clapeyron equation, and in situ diffuse reflectance infrared Fourier-transform were synthetically utilized to study the gas sensing mechanism. It is revealed that the mesoporous structures on both TiO<sub>2</sub> and mPDA surfaces with radial channels facilitate rapid diffusion of 3H2B and provide abundant active sites, while the hydrogen bond adsorption and Schiff base reaction between mPDA and 3H2B enhance gas-sensing efficiency and selectivity. This work pioneers an in situ monitoring paradigm for <i>LM</i> through synergistic material design and mechanistic innovation. Meanwhile, the established gas detection technology system exhibits significant potential for extension into environmental science, public health, and medical diagnostics.
Authors
- Tianjun Ni (ORCID: https://orcid.org/0000-0002-1064-8164)
- Yongheng Zhu (ORCID: https://orcid.org/0000-0001-6839-821X)
- Haijie Cai
- Siqi Sun (ORCID: https://orcid.org/0000-0002-1660-1172)
- Yaolei Zhang (ORCID: https://orcid.org/0000-0003-2131-0254)
- Xingyu Wang (ORCID: https://orcid.org/0000-0003-4419-6589)
- Ge Wang (ORCID: https://orcid.org/0009-0004-0164-9925)
- Zhihua Gao (ORCID: https://orcid.org/0000-0002-6163-5929)
- Weihao Wu (ORCID: https://orcid.org/0000-0001-6239-2984)
- Haixia Zhou (ORCID: https://orcid.org/0000-0002-9676-6267)
- Cheng Zhao (ORCID: https://orcid.org/0009-0001-6553-9600)
Institutions
- Institute of Food Science and Technology (CN)
- First Affiliated Hospital of Xinxiang Medical University (CN)
- Zhengzhou Railway Vocational & Technical College (CN)
- Shanghai Ocean University (CN)
- Henan Medical University (CN)
Publication Details
- Journal
- ACS Sensors
- Published
- 2025-11-13
- DOI
- https://doi.org/10.1021/acssensors.5c03231
- Citations
- 1
- Primary Topic
- Gas Sensing Nanomaterials and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.73