Mu Liang, Xuechao Du, Mengya Lu, Shen Tian, Yingying Qiao, Yang Gao, Pengbo Chen, Mingqi Jiao, Lei Li, Chongxin Shan
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引用次数: 0
Abstract
In this paper, we present for the first time a photoacoustic sensor that uses a fuzzy c-means algorithm based on baseline correction to detect HF gas in the presence of an SF background. This algorithm was proposed to address the issue of unstable amplitude of the second harmonic signal detected by photoacoustic sensors in the near-infrared region due to the weak absorption intensity of gases. The fuzzy c-means algorithm based on baseline correction mainly consists of two parts: firstly, to address the issue of baseline drift in the second harmonic signal, an adaptive iterative reweighted penalty least squares (airPLS) algorithm is employed to remove the drifting baseline, thus stabilizing the signal; secondly, instead of solely relying on the peak value of second harmonic signal for gas concentration calibration, multiple characteristic values of the signal are extracted to form a vector, a fuzzy c-means (FCM) algorithm is then utilized for clustering analysis in a three-dimensional space, using cluster centroids to calibrate gas concentration. The experimental results demonstrate that following algorithmic processing, the R value of the calibration line increases from 0.984 to 0.997, and the minimum detection limit at 1 noise level for HF decreases from 295 ppb to 88 ppb.
期刊介绍:
Sensors & Actuators, B: Chemical is an international journal focused on the research and development of chemical transducers. It covers chemical sensors and biosensors, chemical actuators, and analytical microsystems. The journal is interdisciplinary, aiming to publish original works showcasing substantial advancements beyond the current state of the art in these fields, with practical applicability to solving meaningful analytical problems. Review articles are accepted by invitation from an Editor of the journal.