Multivariate-coupled-enhanced photoacoustic spectroscopy with Chebyshev rational fractional-order filtering algorithm for trace CH4 detection
An innovative and miniature photoacoustic spectroscopy (PAS) gas sensor based on a multivariate-coupled amplification photoacoustic cell (MVCA-PAC) with a total length of 100 mm was developed to achieve ultra-sensitive trace CH4 detection. Acoustic pressure distribution simulations reveal that at th...
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| Language: | English |
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Elsevier
2025-04-01
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| Series: | Photoacoustics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213597925000114 |
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| author | Shenlong Zha Hang Chen Chen Liu Yuxiang Guo Hongliang Ma Qilei Zhang Lingli Li Shengbao Zhan Gang Cheng Yanan Cao Pan Pan |
| author_facet | Shenlong Zha Hang Chen Chen Liu Yuxiang Guo Hongliang Ma Qilei Zhang Lingli Li Shengbao Zhan Gang Cheng Yanan Cao Pan Pan |
| author_sort | Shenlong Zha |
| collection | DOAJ |
| description | An innovative and miniature photoacoustic spectroscopy (PAS) gas sensor based on a multivariate-coupled amplification photoacoustic cell (MVCA-PAC) with a total length of 100 mm was developed to achieve ultra-sensitive trace CH4 detection. Acoustic pressure distribution simulations reveal that at the first-order resonance frequency, the MVCA-PAC achieves a maximum acoustic pressure approximately 3.9 times higher than that of a conventional photoacoustic cell. The absorption optical path of the MVCA-PAC reached 2068 mm through 22 reflections, resulting in a 2-fold increase in the amplitude of photoacoustic signals compared to the traditional photoacoustic cell with an equivalent absorption optical path. Furthermore, compared to a single-pass photoacoustic cell, the 2-f signal intensity of the MVCA-PAC increased by a factor of 4.5. Allan variance analysis indicated a detection limit of 0.572 ppm for CH4 detection with an averaging time of approximately 300 s. To further improve the measurement precision of the designed sensor, the Chebyshev rational fractional-order filtering (CRFOF) algorithm was introduced for PAS signal processing for the first time. Post-processing results demonstrated a 15.4-fold improvement in measurement precision, achieving a precision of 0.578 ppm. Finally, continuous monitoring of atmospheric CH4 over a 48-hour period validated the reliability and feasibility of the sensor. |
| format | Article |
| id | doaj-art-5529d44cd7d849efb354cc9978e97780 |
| institution | Kabale University |
| issn | 2213-5979 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Photoacoustics |
| spelling | doaj-art-5529d44cd7d849efb354cc9978e977802025-02-04T04:10:24ZengElsevierPhotoacoustics2213-59792025-04-0142100692Multivariate-coupled-enhanced photoacoustic spectroscopy with Chebyshev rational fractional-order filtering algorithm for trace CH4 detectionShenlong Zha0Hang Chen1Chen Liu2Yuxiang Guo3Hongliang Ma4Qilei Zhang5Lingli Li6Shengbao Zhan7Gang Cheng8Yanan Cao9Pan Pan10School of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, ChinaSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, ChinaSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, ChinaSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, ChinaSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, ChinaSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, ChinaSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, ChinaSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, ChinaState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, ChinaState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, ChinaSchool of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing, Anhui 246133, China; Corresponding author.An innovative and miniature photoacoustic spectroscopy (PAS) gas sensor based on a multivariate-coupled amplification photoacoustic cell (MVCA-PAC) with a total length of 100 mm was developed to achieve ultra-sensitive trace CH4 detection. Acoustic pressure distribution simulations reveal that at the first-order resonance frequency, the MVCA-PAC achieves a maximum acoustic pressure approximately 3.9 times higher than that of a conventional photoacoustic cell. The absorption optical path of the MVCA-PAC reached 2068 mm through 22 reflections, resulting in a 2-fold increase in the amplitude of photoacoustic signals compared to the traditional photoacoustic cell with an equivalent absorption optical path. Furthermore, compared to a single-pass photoacoustic cell, the 2-f signal intensity of the MVCA-PAC increased by a factor of 4.5. Allan variance analysis indicated a detection limit of 0.572 ppm for CH4 detection with an averaging time of approximately 300 s. To further improve the measurement precision of the designed sensor, the Chebyshev rational fractional-order filtering (CRFOF) algorithm was introduced for PAS signal processing for the first time. Post-processing results demonstrated a 15.4-fold improvement in measurement precision, achieving a precision of 0.578 ppm. Finally, continuous monitoring of atmospheric CH4 over a 48-hour period validated the reliability and feasibility of the sensor.http://www.sciencedirect.com/science/article/pii/S2213597925000114Photoacoustic spectroscopyMultivariate coupled amplificationChebyshev rational fractional-order filteringDetection limitMeasurement precision |
| spellingShingle | Shenlong Zha Hang Chen Chen Liu Yuxiang Guo Hongliang Ma Qilei Zhang Lingli Li Shengbao Zhan Gang Cheng Yanan Cao Pan Pan Multivariate-coupled-enhanced photoacoustic spectroscopy with Chebyshev rational fractional-order filtering algorithm for trace CH4 detection Photoacoustics Photoacoustic spectroscopy Multivariate coupled amplification Chebyshev rational fractional-order filtering Detection limit Measurement precision |
| title | Multivariate-coupled-enhanced photoacoustic spectroscopy with Chebyshev rational fractional-order filtering algorithm for trace CH4 detection |
| title_full | Multivariate-coupled-enhanced photoacoustic spectroscopy with Chebyshev rational fractional-order filtering algorithm for trace CH4 detection |
| title_fullStr | Multivariate-coupled-enhanced photoacoustic spectroscopy with Chebyshev rational fractional-order filtering algorithm for trace CH4 detection |
| title_full_unstemmed | Multivariate-coupled-enhanced photoacoustic spectroscopy with Chebyshev rational fractional-order filtering algorithm for trace CH4 detection |
| title_short | Multivariate-coupled-enhanced photoacoustic spectroscopy with Chebyshev rational fractional-order filtering algorithm for trace CH4 detection |
| title_sort | multivariate coupled enhanced photoacoustic spectroscopy with chebyshev rational fractional order filtering algorithm for trace ch4 detection |
| topic | Photoacoustic spectroscopy Multivariate coupled amplification Chebyshev rational fractional-order filtering Detection limit Measurement precision |
| url | http://www.sciencedirect.com/science/article/pii/S2213597925000114 |
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