Hydrogen sulfide measurement of combustion gaseous product using ultraviolet absorption spectroscopy

Yang, Bin; Li, Weihao; Xie, Jing; Zhu, Xingchen; Wang, Rui; Yang, Yang; Li, Zhihua

doi:10.1016/j.measurement.2023.112766

Measurement

2023

DOI: 10.1016/j.measurement.2023.112766

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Hydrogen sulfide measurement of combustion gaseous product using ultraviolet absorption spectroscopy

Bin Yang

Weihao Li

Jing Xie³

et al.

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2024

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Cited by 3 publications

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References 21 publications

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“…In contrast, spectroscopic methods can provide strong support for online detection because of their high sensitivity and rapid analysis. Spectroscopic methods include tunable diode laser absorption spectroscopy (TDLAS), − photoacoustic spectroscopy (PAS), − light-induced thermoelastic spectroscopy (LITES), − Raman spectroscopy, − Fourier transform infrared absorption spectroscopy (FTIR), − and ultraviolet (UV) absorption spectroscopy. − TDLAS enables NO measurement, but NO absorption intensity is relatively weak. To achieve trace detection of NO, an extremely long optical path is required, resulting in a bulky and complex device.…”

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confidence: 99%

Ultrasensitive Online NO Sensor Based on a Distributed Parallel Self-Regulating Neural Network and Ultraviolet Differential Optical Absorption Spectroscopy for Exhaled Breath Diagnosis

Zhu,

Gao,

et al. 2024

ACS Sens.

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The concentration of fractional exhaled nitric oxide (FeNO) is closely related to human respiratory inflammation, and the detection of its concentration plays a key role in aiding diagnosing inflammatory airway diseases. In this paper, we report a gas sensor system based on a distributed parallel self-regulating neural network (DPSRNN) model combined with ultraviolet differential optical absorption spectroscopy for detecting ppb-level FeNO concentrations. The noise signals in the spectrum are eliminated by discrete wavelet transform. The DPSRNN model is then built based on the separated multipeak characteristic absorption structure of the UV absorption spectrum of NO. Furthermore, a distributed parallel network structure is built based on each absorption feature region, which is given self-regulating weights and finally trained by a unified model structure. The final self-regulating weights obtained by the model indicate that each absorption feature region contributes a different weight to the concentration prediction. Compared with the regular convolutional neural network model structure, the proposed model has better performance by considering the effect of separated characteristic absorptions in the spectrum on the concentration and breaking the habit of bringing the spectrum as a whole into the model training in previous related studies. Lab-based results show that the sensor system can stably achieve high-precision detection of NO (2.59−750.66 ppb) with a mean absolute error of 0.17 ppb and a measurement accuracy of 0.84%, which is the best result to date. More interestingly, the proposed sensor system is capable of achieving high-precision online detection of FeNO, as confirmed by the exhaled breath analysis.

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Ultrasensitive Online NO Sensor Based on a Distributed Parallel Self-Regulating Neural Network and Ultraviolet Differential Optical Absorption Spectroscopy for Exhaled Breath Diagnosis

Zhu,

Gao,

et al. 2024

ACS Sens.

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An ultra-rapid optical gas standard for dynamic processes: Absolute NH3 quantification and uncertainty evaluation

Zhu,

Agarwal,

Shu

et al. 2024

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L -norm relaxation approach for 3D measurement via instantaneous light field of ethylene premixed flames

Gao,

Niu,

Shi

et al. 2024

Measurement

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Hydrogen sulfide measurement of combustion gaseous product using ultraviolet absorption spectroscopy

Cited by 3 publications

References 21 publications

Ultrasensitive Online NO Sensor Based on a Distributed Parallel Self-Regulating Neural Network and Ultraviolet Differential Optical Absorption Spectroscopy for Exhaled Breath Diagnosis

Ultrasensitive Online NO Sensor Based on a Distributed Parallel Self-Regulating Neural Network and Ultraviolet Differential Optical Absorption Spectroscopy for Exhaled Breath Diagnosis

An ultra-rapid optical gas standard for dynamic processes: Absolute NH3 quantification and uncertainty evaluation

L -norm relaxation approach for 3D measurement via instantaneous light field of ethylene premixed flames

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