Non-Local Patch Regression Algorithm-Enhanced Differential Photoacoustic Methodology for Highly Sensitive Trace Gas Detection
| Autor: | Huiting Huan, Lixian Liu, Xiaopeng Shao, Xueshi Zhang, Le Zhang, Andreas Mandelis, Xukun Yin |
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| Rok vydání: | 2021 |
| Předmět: |
Materials science
multi-component QD415-436 Biochemistry 01 natural sciences Noise (electronics) Spectral line Analytical Chemistry 010309 optics Wavelet Optics 0103 physical sciences Globar Physical and Theoretical Chemistry non-local denoising algorithm Absorption (electromagnetic radiation) Photoacoustic spectroscopy photoacoustic spectroscopy Dynamic range business.industry 010401 analytical chemistry 0104 chemical sciences Trace gas gas sensors business |
| Zdroj: | Chemosensors; Volume 9; Issue 9; Pages: 268 Chemosensors, Vol 9, Iss 268, p 268 (2021) |
| ISSN: | 2227-9040 |
| DOI: | 10.3390/chemosensors9090268 |
| Popis: | A non-local patch regression (NLPR) denoising-enhanced differential broadband photoacoustic (PA) sensor was developed for the high-sensitive detection of multiple trace gases. Using the edge preservation index (EPI) and signal-to-noise ratio (SNR) as a dual-criterion, the fluctuation was dramatically suppressed while the spectral absorption peaks were maintained by the introduction of a NLPR algorithm. The feasibility of the broadband framework was verified by measuring the C2H2 in the background of ambient air. A normalized noise equivalent absorption (NNEA) coefficient of 6.13 × 10−11 cm−1·W·Hz−1/2 was obtained with a 30-mW globar source and a SNR improvement factor of 23. Furthermore, the simultaneous multiple-trace-gas detection capability was determined by measuring C2H2, H2O, and CO2. Following the guidance of single-component processing, the NLPR processed results showed higher EPI and SNR compared to the spectra denoised by the wavelet method and the non-local means algorithm. The experimentally determined SNRs of the C2H2, H2O, and CO2 spectra were improved by a factor of 20. The NNEA coefficient reached a value of 7.02 × 10−11 cm−1·W·Hz−1/2 for C2H2. The NLPR algorithm presented good performance in noise suppression and absorption peak fidelity, which offered a higher dynamic range and was demonstrated to be an effective approach for trace gas analysis. |
| Databáze: | OpenAIRE |
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