Optimizing the Spectral Properties of the Chemical Sensor to Detect Concentrations of Gas Mixtures
DOI:
https://doi.org/10.56801/MME987Keywords:
fluorescence background, Aromatic hydrocarbons, filter, noiseAbstract
Monitoring aromatic hydrocarbons is environmentally important because these chemical pollutants are ubiquitous. While waiting for powerful sensors capable of detecting hydrocarbons at extremely low levels, the current study demonstrates how each of the pure gas mixtures can be quickly and accurately identified. A noise removal unit was created for the chemical sensor data and then processed on the basis of the proposed algorithms in order to achieve matching and calibration. This method can be extended to other important aromatic hydrocarbon pollutants.
References
Hester, R., R. Harrison, and D.R. Crump, Volatile organic compounds in indoor air, in Volatile Organic Compounds in the Atmosphere. 1995. p. 109-124.
Lawrence, S.J., Description, Properties, and Degradation of Selected Volatile Organic Compounds Detected in Ground Water--A Review of Selected Literature. Open-File Report, 2006(2006-1338).
J.Hargis,Jr.Tisone,SWagner,W.Trahan,V.Smith, “Multispectral Ultraviolet Flurescent Liadar Detection of Volatile Componds in Atmosphere”.
Ahmed, A.M., et al. Quantitative analysis of petroleum hydrocarbon contaminated soils using spectroscopy, spectral unmixing and deep neural networks. in Image and Signal Processing for Remote Sensing XXIV. 2018. SPIE.
Ionov, D.S. Model of the formation of exciplexes of dibenzoylmethanate of boron difluoride with aromatic hydrocarbons on the surface of silica / D.S. Ionov, G.A. Yurasik, A.V. Antonov, V.A. Sazhnikov, M.V. Alfimov // High Energy Chemistry. - 2015. - Vol.49. - No. 3. - P. 210-215.
Zhao, Y., A spectral analysis based heteroscedastic model for the estimation of value at risk. The Journal of Risk Finance, 2018. 19(3): p. 295-314.
Ionov, D., et al., Simple fluorescent sensor for simultaneous selective quantification of benzene, toluene and xylene in a multicomponent mixture. Procedia Engineering, 2016. 168: p. 341-345.
Sommer, L., Analytical absorption spectrophotometry in the visible and ultraviolet: the principles. 2012: Elsevier.
Socrates, G., The theory of vibrational spectroscopy and its application to polymeric materials: Paul C. Painter, Michael M. Coleman and Jack L. Koenig John Wiley & Sons, USA, March 1982 522 pp£ 44.50 ISBN. 0 471 09346-7. 1982, Elsevier.
Quintero, L., S. Hunt, and M. Diem. Denoising of raman spectroscopy signals. in Poster presented at the 2007 R2C Multi Spectral Discrimination Methods Conference. 2007.
Gao, M., et al., Passive remote sensing of VOC in atmosphere by FTIR spectrometry. Guang pu xue yu Guang pu fen xi= Guang pu, 2005. 25(7): p. 1042-1044.
Krzempek, K., et al., CW DFB RT diode laser-based sensor for trace-gas detection of ethane using a novel compact multipass gas absorption cell. Applied Physics B, 2013. 112: p. 461-465.
Tao, L., et al., Low-power, open-path mobile sensing platform for high-resolution measurements of greenhouse gases and air pollutants. Applied Physics B, 2015. 119: p. 153-164.
Zeyad, A.-I., et al., Application of mathematical models and digital filters and their Processors of spectral analysis for aromatic compounds gas in a fluorescent chemical. International Journal of Nonlinear Analysis and Applications, 2021. 12: p. 109-122.
Mirzaei, A., et al., Resistive-based gas sensors for detection of benzene, toluene and xylene (BTX) gases: a review. Journal of Materials Chemistry C, 2018. 6(16): p. 4342-4370.
Shreve, A.P., N.J. Cherepy, and R.A. Mathies, Effective rejection of fluorescence interference in Raman spectroscopy using a shifted excitation difference technique. Applied spectroscopy, 1992. 46(4): p. 707-711.
Cocchi, M., R. Seeber, and A. Ulrici, Multivariate calibration of analytical signals by WILMA (wavelet interface to linear modelling analysis). Journal of Chemometrics: A Journal of the Chemometrics Society, 2003. 17(8‐9): p. 512-527.
Ulrici, A., et al. A feature selection strategy for the analysis of spectra from a photoacoustic sensing system. in Optical Materials and Biomaterials in Security and Defence Systems Technology IX. 2012. SPIE.
Huang, Y., et al., Simulation for infrared spectra of pollutant gas and parameters setting, Guangdian Gongcheng. Opto-Electronic Engineering, 2006. 33(6): p. 61-64.
Sulub, Y. and G.W. Small, Spectral simulation methodology for calibration transfer of near-infrared spectra. Applied spectroscopy, 2007. 61(4): p. 406-413
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Muthana Alboedam, A. A. Al-Rubaiee
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their published articles online (e.g., in institutional repositories or on their website, social networks like ResearchGate or Academia), as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Except where otherwise noted, the content on this site is licensed under a Creative Commons Attribution 4.0 International License.
In the 2019 year, the journal Metallurgical and Materials Engineering is indexed in 
According to the 