基于多反射差分亥姆霍兹电池和 VMD-airPLS 算法的痕量气体检测系统

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL
Minghui Liu , Lei Li , Zhechen Fan, Yalan Luo, Shen Tian, Pengbo Chen, Yingying Qiao, Chongxin Shan
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引用次数: 0

摘要

本文提出了一种基于多反射差分亥姆霍兹单元和变异模态分解-自适应迭代重权重化最小二乘法(VMD-airPLS)算法的光声光谱传感器,以提高信噪比(SNR)并缩短系统的响应时间。黄铜制成的亥姆霍兹光声电池允许激光在其谐振腔内多次反射,从而有效地将气体吸收路径增加了 ∼ 6 倍。VMD-airPLS 算法可抑制非相干噪声和随时间缓慢变化的基线噪声。为了验证该系统的性能,使用波长为 1653.7 nm 的激光对甲烷进行了测量。实验结果表明,与单通道系统相比,该系统的灵敏度大幅提高,最高可达约 2.2 倍,信噪比最高可达约 4.2 倍。甲烷的最低检测限为 ∼ 96.79 ppb。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trace gas detection system based on multi-reflection differential Helmholtz cell and VMD-airPLS algorithm
In this paper, a photoacoustic spectroscopy sensor based on multi-reflection differential Helmholtz cell and Variational Mode Decomposition-adaptive iteratively reweighted penalized least squares (VMD-airPLS) algorithm is proposed to improve the signal-to-noise ratio (SNR) and reduce the response time of the system. The Helmholtz photoacoustic cell, fabricated from brass, allows multiple reflections of the laser light within its resonant cavity, effectively increasing the gas absorption path by a factor of ∼ 6. The VMD-airPLS algorithm suppresses incoherent noise and slowly varying baseline noise over time. To validate the performance of the system, methane is measured using a laser with a wavelength of 1653.7 nm. Experimental results demonstrate a significant enhancement in the sensitivity of system, up to approximately 2.2 times, and an improvement in the SNR by up to approximately 4.2 times compared to single-pass system. The minimum detection limit for methane is ∼ 96.79 ppb.
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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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