用于超快气体传感的扫描光机械增强BF-QEPAS

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Yang Chen;Linzhao Jiang;Cheng Yu;Peng Zhang;Lei Wang;Dawei Wu
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引用次数: 0

摘要

传统的热频石英增强光声光谱法(BF-QEPAS)受能量积累时间短和衰减周期的限制,导致信号较弱,测量周期较长。在这项工作中,我们提出了一种新的扫描光机械增强(SOE-) BF-QEPAS技术来实现超快速气体检测。通过周期性扫描调制信号,在音叉振动能量衰减之前补充激励能量,从而优化能量积累效率。我们首次引入了综合质量因子K来评估系统在能效和信噪比(SNR)方面的综合性能。参数优化后,信噪比比传统BF-QEPAS提高了1.88倍,响应速度提高了200-400倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scanning Optomechanical Enhanced BF-QEPAS for Ultrafast Gas Sensing
Traditional beat-frequency quartz-enhanced photoacoustic spectroscopy (BF-QEPAS) is constrained by short energy accumulation time and the necessity of attenuation cycles, resulting in weaker signals and longer measurement cycles. In this work, we propose a novel scanning optomechanical enhanced (SOE-) BF-QEPAS technique to achieve ultrafast gas detection. By periodically scanning the modulation signal, we supplement excitation energy before the attenuation of the tuning fork’s vibrational energy, thereby optimizing energy accumulation efficiency. For the first time, we introduce a comprehensive quality factor K to evaluate the integrated performance of the system in terms of energy efficiency and signal-to-noise ratio (SNR). After parameter optimization, the SNR demonstrated a 1.88-fold improvement compared to conventional BF-QEPAS, while the response speed increased by 200–400 times.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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