Nondestructive and Rapid Detection of Foodborne Pathogens in Foodstuffs Using Au Nanocluster-Sensitized WO<sub>3</sub> Gas Sensors

The nondestructive and rapid detection of <i>Listeria monocytogenes</i> in foodstuffs is critical for ensuring food safety, but it remains a significant challenge. Herein, we propose an efficient semiconductor gas sensor for nondestructive and rapid detection of <i>L. monocytogenes</i> in foodstuffs through sensing of volatile metabolites (<i>i.e.</i>, 3-hydroxy-2-butanone) without a complicated pretreatment process. The sensor is fabricated by using WO<sub>3</sub> nanoplates sensitized by Au nanoclusters. The sensor exhibits exceptional selectivity, ultralow detection limit (8 ppb), and a low working temperature (50 °C), surpassing existing 3-hydroxy-2-butanone gas sensors in performance. This sensor can detect <i>L. monocytogenes</i> at concentrations as low as 10 CFU/mL and effectively distinguishes it from other bacterial strains in pork, milk, and vegetables. Additionally, a handheld gas sensor is developed for the nondestructive and rapid (10 s) detection of <i>L. monocytogenes</i> in pork. The superior sensing performance is attributed to Au nanoclusters, which enhance the adsorption and activation of oxygen and 3-hydroxy-2-butanone molecule on the surface and facilitate electron transfer between gases and sensing materials. This study emphasizes the substantial potential of semiconductor gas sensors for nondestructive and rapid screening of foodstuffs by monitoring microbial metabolites, thereby facilitating the development of miniaturized sensing devices for food safety applications.

Authors

Institutions

Publication Details

Journal
ACS Sensors
Published
2025-07-05
DOI
https://doi.org/10.1021/acssensors.5c01670
Citations
4
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
2.70

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nondestructive and Rapid Detection of Foodborne Pathogens in Foodstuffs Using Au Nanocluster-Sensitized WO3 Gas Sensors

Dong Cheng, Jing Wei, Youyou Feng, Ping Li et al.
4 citations
ACS Sensors
Advanced Chemical Sensor Technologies
2.70
article

Nondestructive and Rapid Detection of Foodborne Pathogens in Foodstuffs Using Au Nanocluster-Sensitized WO3 Gas Sensors

Dong Cheng, Jing Wei, Youyou Feng, Ping Li, Liyong Diao
article en
4 citations

Abstract

The nondestructive and rapid detection of <i>Listeria monocytogenes</i> in foodstuffs is critical for ensuring food safety, but it remains a significant challenge. Herein, we propose an efficient semiconductor gas sensor for nondestructive and rapid detection of <i>L. monocytogenes</i> in foodstuffs through sensing of volatile metabolites (<i>i.e.</i>, 3-hydroxy-2-butanone) without a complicated pretreatment process. The sensor is fabricated by using WO<sub>3</sub> nanoplates sensitized by Au nanoclusters. The sensor exhibits exceptional selectivity, ultralow detection limit (8 ppb), and a low working temperature (50 °C), surpassing existing 3-hydroxy-2-butanone gas sensors in performance. This sensor can detect <i>L. monocytogenes</i> at concentrations as low as 10 CFU/mL and effectively distinguishes it from other bacterial strains in pork, milk, and vegetables. Additionally, a handheld gas sensor is developed for the nondestructive and rapid (10 s) detection of <i>L. monocytogenes</i> in pork. The superior sensing performance is attributed to Au nanoclusters, which enhance the adsorption and activation of oxygen and 3-hydroxy-2-butanone molecule on the surface and facilitate electron transfer between gases and sensing materials. This study emphasizes the substantial potential of semiconductor gas sensors for nondestructive and rapid screening of foodstuffs by monitoring microbial metabolites, thereby facilitating the development of miniaturized sensing devices for food safety applications.

ACS SensorsVol. 10(7)
Xi'an Jiaotong University (CN)
National Natural Science Foundation of China, Xi'an Municipal Bureau of Science and Technology, Key Research and Development Projects of Shaanxi Province
Zero hunger
Openalex Percentile: Top 10%
Advanced Chemical Sensor Technologies
2.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.