In-situ ammonia escape measurement sensor integrating a multi-factor spectral signal processing model
A detection sensor based on tunable diode laser absorption spectroscopy (TDLAS) technology combined with wavelength modulation spectroscopy (WMS) has been developed to measure ammonia (NH3) escape during the denitrification process. The system includes a self-designed gas pretreatment unit and a fuz...
Saved in:
Published in | Sensors and actuators. B, Chemical Vol. 424; p. 136857 |
---|---|
Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.02.2025
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | A detection sensor based on tunable diode laser absorption spectroscopy (TDLAS) technology combined with wavelength modulation spectroscopy (WMS) has been developed to measure ammonia (NH3) escape during the denitrification process. The system includes a self-designed gas pretreatment unit and a fuzzy PID-based temperature controller. These components can reduce NH3 dissolution loss and gas cell temperature unevenness. In addition, a multi-factor spectral signal processing model was established to further improve the detection accuracy. In this model, use an algorithm to compensate for measured concentrations at different flow rates, and the time-varying filter empirical mode decomposition (TVFEMD) algorithm is used to filter noise from the spectrum signal. Adaptive optimization of radial basis function neural network parameters using slime mold algorithm (SMA-RBF). Calibration experiments confirm good linearity of the system (R2: 0.9995). The limit of detection (LoD) was determined to be 8.81 ppb with an integration time of 38 s by Allan-Werle deviation analysis. In addition, response time experiments validate the ability of the sensor to meet real-time NH3 escape detection requirements during denitrification processes.
•Sensors exhibit the linear response to 1–10 ppm NH3 with a LoD of 8.81 ppb.•The sensor exhibits fast response time and good stability.•Flow rate compensation and noise processing improve sensor measurement accuracy. |
---|---|
ISSN: | 0925-4005 |
DOI: | 10.1016/j.snb.2024.136857 |