Single-Atom Au-Functionalized Mesoporous SnO 2 Nanospheres for Ultrasensitive Detection of Listeria monocytogenes Biomarker at Low Temperatures.
Bingxi FengZizheng WangYouyou FengPing LiYongheng ZhuYonghui DengLimin WuQin YueJing WeiPublished in: ACS nano (2024)
Semiconductor metal oxide gas sensors have been proven to be capable of detecting Listeria monocytogenes , one kind of foodborne bacteria, through monitoring the characteristic gaseous metabolic product 3-hydroxy-2-butanone. However, the detection still faces challenges because the sensors need to work at high temperatures and output limited gas sensing performance. The present study focuses on the design of single-atom Au-functionalized mesoporous SnO 2 nanospheres for the sensitive detection of ppb-level 3-hydroxy-2-butanone at low temperatures (50 °C). The fabricated sensors exhibit high sensitivity (291.5 ppm -1 ), excellent selectivity, short response time (10 s), and ultralow detection limit (10 ppb). The gas sensors exhibit exceptional efficacy in distinguishing L. monocytogenes from other bacterial strains (e.g., Escherichia coli ). Additionally, wireless detection of 3-hydroxy-2-butanone vapor is successfully achieved through microelectromechanical systems sensors, enabling real-time monitoring of the biomarker 3-hydroxy-2-butanone. The superior sensing performance is ascribed to the mesoporous framework with accessible active Au-O-Sn sites in the uniform sensing layer consisting of single-atom Au-modified mesoporous SnO 2 nanospheres, and such a feature facilitates the gas diffusion, adsorption, and catalytic conversion of 3-hydroxy-2-butanone molecules in the sensing layer, resulting in excellent sensing signal output at relatively low temperature that is favorable for developing low-energy-consumption gas sensors.
Keyphrases
- sensitive detection
- room temperature
- loop mediated isothermal amplification
- quantum dots
- low cost
- listeria monocytogenes
- reduced graphene oxide
- escherichia coli
- label free
- real time pcr
- molecular dynamics
- gold nanoparticles
- carbon dioxide
- machine learning
- highly efficient
- metal organic framework
- mass spectrometry
- multidrug resistant
- perovskite solar cells
- electron transfer