Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Quartz-enhanced photoacoustic spectroscopy (QEPAS) is a promising technique for trace gas sensing, offering advantages such as compact size and high sensitivity. However, noise remains a critical factor limiting detection sensitivity. In this study, a novel approach was proposed to leverage noise for the enhancement of weak QEPAS signals. The method employs stochastic resonance (SR), which counterintuitively utilizes noise to amplify weak spectral signals, thereby significantly improving the signal-to-noise ratio of the QEPAS sensor. The effectiveness of this approach was demonstrated through methane (CH₄) detection using QEPAS. Experimental results indicate that the SR algorithm enhances the output signal by a factor of 3 and reduces the minimum detection limit (MDL) from 329 ppb to 85 ppb compared to conventional QEPAS. The proposed SR-enhanced algorithm presents a promising strategy for further improving QEPAS sensor performance in trace gas detection.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11919392 | PMC |
| http://dx.doi.org/10.1016/j.pacs.2025.100707 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Spherical Acoustic Resonator-Based Quartz-Enhanced Photoacoustic-Photothermal Dual Spectroscopy Sensing.
Anal Chem
September 2025
National Key Laboratory of Laser Spatial Information, Harbin Institute of Technology, Harbin 150001, China.
In this paper, a single-quartz-enhanced photoacoustic-photothermal dual spectroscopy sensor based on a spherical acoustic resonator (SAR) is reported for the first time. The dual spectroscopy of quartz-enhanced photoacoustic spectroscopy (QEPAS) and quartz-enhanced photothermal spectroscopy (QEPTS), utilizing a single quartz tuning fork (QTF), eliminates the frequency mismatch issue that occurs when multiple QTFs are used. The dual spectroscopy model was constructed using the finite element method, which provides numerical simulation support for subsequent experiments.
View Article and Find Full Text PDFA novel signal processing approach enabled by machine learning for the detection and identification of chemical warfare agent simulants using a GC-QEPAS system.
Forensic Sci Res
September 2025
Department of Law, University of Bergamo, Bergamo, Italy.
The detection and identification of chemical warfare agents (CWAs) present challenges in emergency response scenarios and for safety and security applications. This study presents the development and validation of an innovative analytical method using a gas chromatography (GC) and quartz-enhanced photoacoustic spectroscopy (QEPAS) sensor for the detection of stimulants for six CWAs. Following the guidelines of the European Network of Forensic Science Institute (ENFSI) and the Commission Implementing Regulation (EU) 2021/808, the analytical method was validated.
View Article and Find Full Text PDFHeterodyne-based light-induced thermoelastic spectroscopy (HLITES) is capable of correcting measurement errors by evaluating the parameters of the quartz tuning fork (QTF). However, the correcting performance of HLITES will deteriorate under low concentration levels or laser power due to the weakened QTF transient response. Therefore, we propose an electrical excitation beat-aided LITES (EEBA-LITES), which is realized by optical and electrical excitation to the QTF utilizing the time-division multiplexing technique.
View Article and Find Full Text PDFWhat we believe to be a novel load capacitance matching method is proposed for adjusting the resonant frequency of a quartz tuning fork (QTF) in a multi-QTF-based laser spectroscopy gas sensor for the first time. A sensing system integrating quartz-enhanced photoacoustic spectroscopy (QEPAS) and light-induced thermoelastic spectroscopy (LITES) was constructed to validate the proposed method. In this system, the QEPAS module consists of QTF1, while the LITES module is based on QTF2.
View Article and Find Full Text PDFConductance-photoacoustic spectroscopy for fast and concurrent sensing of hydrogen and hydrocarbons.
Photoacoustics
October 2025
International Cooperation Joint Laboratory for Optoelectronic Hybrid Integrated Circuits, Jinan University, Guangzhou 510632, China.
Accurate and rapid detection of hydrogen and hydrocarbons is critical for safety and efficiency in modern energy, industrial, and environmental systems. However, selective and simultaneous quantification of these species remains a significant technical challenge. Here, we introduce conductance-photoacoustic spectroscopy (ConPAS), an integrated sensing approach that combines conductance-based resonance modulation with quartz-enhanced photoacoustic spectroscopy in a single device.
View Article and Find Full Text PDF