scholarly journals Non-Local Patch Regression Algorithm-Enhanced Differential Photoacoustic Methodology for Highly Sensitive Trace Gas Detection

Chemosensors ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 268
Author(s):  
Le Zhang ◽  
Lixian Liu ◽  
Huiting Huan ◽  
Xukun Yin ◽  
Xueshi Zhang ◽  
...  

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.

2000 ◽  
Vol 39 (36) ◽  
pp. 6866 ◽  
Author(s):  
Anatoliy A. Kosterev ◽  
Frank K. Tittel ◽  
Claire Gmachl ◽  
Federico Capasso ◽  
Deborah L. Sivco ◽  
...  

Author(s):  
Anatoliy Kosterev ◽  
R.F. Curl ◽  
F.K. Tittel ◽  
C. Gmachl ◽  
F. Capasso

1999 ◽  
Vol 69 (5-6) ◽  
pp. 459-465 ◽  
Author(s):  
D.G. Lancaster ◽  
D. Richter ◽  
F.K. Tittel

Sign in / Sign up

Export Citation Format

Share Document