Hierarchical Pore Engineering Overcomes Diffusion Barriers in SERS Gas Sensors for 1 ppt-Level Bacterial Viability Monitoring

The diffusion limitation at the gas-solid interface remains a critical challenge hindering the advancement of surface-enhanced Raman scattering (SERS) for gas analysis. To address this issue, this study proposes a gas-flow modulation strategy based on a hierarchical pore metastructure (HPMS), which optimizes the mass transfer of gas molecules to the solid-phase SERS substrate and elucidates the synergistic mechanism between mass transfer and sensing performance in SERS systems. This approach is successfully applied to live bacterial metabolic monitoring. Fluid dynamics simulations reveal that the HPMS effectively increases the analyte concentration near the SERS substrate surface, concurrently enhancing the area-averaged velocity through the formation of a lateral concentration gradient. Electromagnetic field simulations further confirm that the in situ growth of Ag nanoparticles within the pores generates three-dimensional (3D) plasmonic hot spots, effectively increasing the hot spot density and enhancing the longitudinal laser utilization efficiency. Leveraging this strategy, a detection sensitivity of 1 part per trillion (ppt) is achieved for the gaseous bacterial metabolite dimethyl disulfide (DMDS), along with real-time monitoring capability for bacterial viability within 30 min. The proposed HPMS-based modulation strategy provides a universal solution for gas detection using solid SERS substrates, offering significant potential for advancing SERS-based gas analysis technologies.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2025-11-26
DOI
https://doi.org/10.1021/acs.analchem.5c05619
Primary Topic
Gold and Silver Nanoparticles Synthesis and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hierarchical Pore Engineering Overcomes Diffusion Barriers in SERS Gas Sensors for 1 ppt-Level Bacterial Viability Monitoring

Jingwen Zhou, Renxian Gao, Hongmei Li, Yichuan Kou et al.
Analytical Chemistry
Gold and Silver Nanoparticles Synthesis and Applications
article

Hierarchical Pore Engineering Overcomes Diffusion Barriers in SERS Gas Sensors for 1 ppt-Level Bacterial Viability Monitoring

Jingwen Zhou, Renxian Gao, Hongmei Li, Yichuan Kou, Hao Jiang, Qingchi Xu, Jian‐Feng Li, Yue‐Jiao Zhang, Xiaohang Wu
article en

Abstract

The diffusion limitation at the gas-solid interface remains a critical challenge hindering the advancement of surface-enhanced Raman scattering (SERS) for gas analysis. To address this issue, this study proposes a gas-flow modulation strategy based on a hierarchical pore metastructure (HPMS), which optimizes the mass transfer of gas molecules to the solid-phase SERS substrate and elucidates the synergistic mechanism between mass transfer and sensing performance in SERS systems. This approach is successfully applied to live bacterial metabolic monitoring. Fluid dynamics simulations reveal that the HPMS effectively increases the analyte concentration near the SERS substrate surface, concurrently enhancing the area-averaged velocity through the formation of a lateral concentration gradient. Electromagnetic field simulations further confirm that the in situ growth of Ag nanoparticles within the pores generates three-dimensional (3D) plasmonic hot spots, effectively increasing the hot spot density and enhancing the longitudinal laser utilization efficiency. Leveraging this strategy, a detection sensitivity of 1 part per trillion (ppt) is achieved for the gaseous bacterial metabolite dimethyl disulfide (DMDS), along with real-time monitoring capability for bacterial viability within 30 min. The proposed HPMS-based modulation strategy provides a universal solution for gas detection using solid SERS substrates, offering significant potential for advancing SERS-based gas analysis technologies.

Analytical ChemistryVol. 97(48)
Xiamen University (CN), Tan Kah Kee Innovation Laboratory (CN), Collaborative Innovation Center of Chemistry for Energy Materials (CN), Hangzhou Dianzi University (CN)
Openalex Percentile: Top 73%
Gold and Silver Nanoparticles Synthesis and Applications
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.