A carbon monoxide detection device based on mid-infrared absorption spectroscopy at 4.6 μm

Li, Guolin; Sui, Yue; Dong, Mei; Ye, Weilin; Zheng, Chuantao; Wang, Yiding

doi:10.1007/s00340-015-6056-6

Cited by 11 publications

(8 citation statements)

References 21 publications

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“…However, since the two filter peak wavelengths λ 1 4.26 μm and λ 2 4.00 μm are too close to each other, the Raleigh scattering coefficient and Mie scattering coefficient at these two wavelengths are nearly the same. After the calculation of differential ratio signal ΔU ∕U 2 , the scattering and absorption coefficients could be eliminated, which was already proved in a previous work [17]. Therefore, the final CO 2 concentration could be expressed as…”

Section: E Differential Detection Structure and Theorymentioning

confidence: 75%

“…Furthermore, the greenhouse environment has its own special working conditions and required detection range for CO 2 . The existing infrared sensing techniques involve photoacoustic spectroscopy (PAS) [13], tunable diode laser absorption spectroscopy (TDLAS) [14][15][16][17], and direct absorption spectroscopy (DAS) [18]. PAS is one of the most famous spectroscopy techniques for trace gas detection because of its high sensitivity and selectivity.…”

Section: Introductionmentioning

confidence: 99%

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Mid-infrared absorption-spectroscopy-based carbon dioxide sensor network in greenhouse agriculture: development and deployment

et al. 2016

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A mid-infrared carbon dioxide (CO₂) sensor was experimentally demonstrated for application in a greenhouse farm environment. An optical module was developed using a lamp source, a dual-channel pyre-electrical detector, and a spherical mirror. A multi-pass gas chamber and a dual-channel detection method were adopted to effectively enhance light collection efficiency and suppress environmental influences. The moisture-proof function realized by a breathable waterproof chamber was specially designed for the application of such a sensor in a greenhouse with high humidity. Sensor structure of the optical part and electrical part were described, respectively, and related experiments were carried out to evaluate the sensor performance on CO₂ concentration. The limit of detection of the sensor is 30 ppm with an absorption length of 30 cm. The relative detection error is less than 5% within the measurement range of 30-5000 ppm. The fluctuations for the long-term (10 h) stability measurements on a 500 ppm CO₂ sample and a 2000 ppm CO₂ sample are 1.08% and 3.6%, respectively, indicating a good stability of the sensor. A wireless sensor network-based automatic monitoring system was implemented for greenhouse application using multiple mid-infrared CO₂ sensor nodes. A monitor software based on LabVIEW was realized via a laptop for real-time environmental data display, storage, and website sharing capabilities. A field experiment of the sensor network was carried out in the town of Shelin in Jilin Province, China, which proved that the whole monitoring system possesses stable sensing performance for practical application under the circumstances of a greenhouse.

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Section: E Differential Detection Structure and Theorymentioning

confidence: 75%

Section: Introductionmentioning

confidence: 99%

Mid-infrared absorption-spectroscopy-based carbon dioxide sensor network in greenhouse agriculture: development and deployment

et al. 2016

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“…Since the overtone bands only absorb photons with higher energy, they exhibit less absorption strength several orders of magnitude smaller than that of the fundamental band [98]. Due to its relatively less interference from other chemicals, the fundamental infrared absorption band at 4.6 µm is the most promising wavelength for CO infrared detection [105,108].…”

Section: Infrared Sensorsmentioning

confidence: 99%

Review of Dissolved CO and H2 Measurement Methods for Syngas Fermentation

Dang

Wang

Atiyeh

2021

Sensors

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Syngas fermentation is a promising technique to produce biofuels using syngas obtained through gasified biomass and other carbonaceous materials or collected from industrial CO-rich off-gases. The primary components of syngas, carbon monoxide (CO) and hydrogen (H2), are converted to alcohols and other chemicals through an anaerobic fermentation process by acetogenic bacteria. Dissolved CO and H2 concentrations in fermentation media are among the most important parameters for successful and stable operation. However, the difficulties in timely and precise dissolved CO and H2 measurements hinder the industrial-scale commercialization of this technique. The purpose of this article is to provide a comprehensive review of available dissolved CO and H2 measurement methods, focusing on their detection mechanisms, CO and H2 cross interference and operations in syngas fermentation process. This paper further discusses potential novel methods by providing a critical review of gas phase CO and H2 detection methods with regard to their capability to be modified for measuring dissolved CO and H2 in syngas fermentation conditions.

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“…At present, almost all light absorption gas detection systems [ 26 , 27 , 28 , 29 , 30 ] use a grating spectrometer to detect gases [ 31 , 32 , 33 ], but the system has a problem that must be considered: there are constraints between the spectral range and the resolution of spectrometer. With the performance of hyperspectral resolution, lack of moving parts, low requirements for components and high etendue, spatial heterodyne spectrometer (SHS) [ 34 , 35 ] is widely used in trace gasses detection [ 36 ], astrophysical observation [ 37 ].…”

Section: Introductionmentioning

confidence: 99%

Research on a Visual Electronic Nose System Based on Spatial Heterodyne Spectrometer

Zhang

Tian

Song

et al. 2018

Sensors

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Light absorption gas sensing technology has the characteristics of massive parallelism, cross-sensitivity and extensive responsiveness, which make it suitable for the sensing task of an electronic nose (e-nose). With the performance of hyperspectral resolution, spatial heterodyne spectrometer (SHS) can present absorption spectra of the gas in the form of a two dimensional (2D) interferogram which facilitates the analysis of gases with mature image processing techniques. Therefore, a visual e-nose system based on SHS was proposed. Firstly, a theoretical model of the visual e-nose system was constructed and its visual maps were obtained by an experiment. Then the local binary pattern (LBP) and Gray-Level Co-occurrence Matrix (GLCM) were used for feature extraction. Finally, classification algorithms based on distance similarity (Correlation coefficient (CC); Euclidean distance to centroids (EDC)) were chosen to carry on pattern recognition analysis to verify the feasibility of the visual e-nose system.

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A carbon monoxide detection device based on mid-infrared absorption spectroscopy at 4.6 μm

Cited by 11 publications

References 21 publications

Mid-infrared absorption-spectroscopy-based carbon dioxide sensor network in greenhouse agriculture: development and deployment

Mid-infrared absorption-spectroscopy-based carbon dioxide sensor network in greenhouse agriculture: development and deployment

Review of Dissolved CO and H2 Measurement Methods for Syngas Fermentation

Research on a Visual Electronic Nose System Based on Spatial Heterodyne Spectrometer

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