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Time-resolved polarization lock-in filtering for background suppression in Raman spectroscopy of biomass pyrolysis

Kim, Haisol LU ; Gong, Miaoxin LU ; Kristensson, Elias LU ; Ehn, Andreas LU ; Aldén, Marcus LU and Brackmann, Christian LU (2020) In Combustion and Flame 224. p.219-224
Abstract

Laser-based Raman spectroscopy is a powerful technique for non-intrusive measurements of chemical composition in gas, liquid, and solids. However, weak signals make it challenging to employ the technique for diagnostics under harsh conditions with various background interferences. To overcome such limitations, we have devised a method, polarization lock-in filtering (PLF) based on temporal modulation of the excitation laser polarization, to filter out polarization-independent signals from acquired data. The PLF method applied for continuous Raman spectroscopy measurements of a biomass pyrolysis process showed promising filtering abilities for unwanted background fluorescence signals. A broadband fluorescence background interference was... (More)

Laser-based Raman spectroscopy is a powerful technique for non-intrusive measurements of chemical composition in gas, liquid, and solids. However, weak signals make it challenging to employ the technique for diagnostics under harsh conditions with various background interferences. To overcome such limitations, we have devised a method, polarization lock-in filtering (PLF) based on temporal modulation of the excitation laser polarization, to filter out polarization-independent signals from acquired data. The PLF method applied for continuous Raman spectroscopy measurements of a biomass pyrolysis process showed promising filtering abilities for unwanted background fluorescence signals. A broadband fluorescence background interference was suppressed by up to a factor of 50. Therefore, released species during the biomass pyrolysis process were readily identified with their Raman spectrum signatures and their amounts quantified. In addition, the PLF method provided Raman spectra of low background, from which a gradual change in hydrocarbons released at different stages during the pyrolysis could be observed. Altogether, the efficient background suppression method increases the general applicability of Raman spectroscopy under conditions where interfering signals present a challenge and a limiting factor.

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author
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Biomass pyrolysis, Laser diagnostics, Polarization lock-in filtering, Raman spectroscopy
in
Combustion and Flame
volume
224
pages
219 - 224
publisher
Elsevier
external identifiers
  • scopus:85098640689
ISSN
0010-2180
DOI
10.1016/j.combustflame.2020.12.011
language
English
LU publication?
yes
id
02737e90-0cb9-48e7-9e11-bf0e01e5ee06
date added to LUP
2021-01-15 12:48:14
date last changed
2022-06-03 16:28:30
@article{02737e90-0cb9-48e7-9e11-bf0e01e5ee06,
  abstract     = {{<p>Laser-based Raman spectroscopy is a powerful technique for non-intrusive measurements of chemical composition in gas, liquid, and solids. However, weak signals make it challenging to employ the technique for diagnostics under harsh conditions with various background interferences. To overcome such limitations, we have devised a method, polarization lock-in filtering (PLF) based on temporal modulation of the excitation laser polarization, to filter out polarization-independent signals from acquired data. The PLF method applied for continuous Raman spectroscopy measurements of a biomass pyrolysis process showed promising filtering abilities for unwanted background fluorescence signals. A broadband fluorescence background interference was suppressed by up to a factor of 50. Therefore, released species during the biomass pyrolysis process were readily identified with their Raman spectrum signatures and their amounts quantified. In addition, the PLF method provided Raman spectra of low background, from which a gradual change in hydrocarbons released at different stages during the pyrolysis could be observed. Altogether, the efficient background suppression method increases the general applicability of Raman spectroscopy under conditions where interfering signals present a challenge and a limiting factor.</p>}},
  author       = {{Kim, Haisol and Gong, Miaoxin and Kristensson, Elias and Ehn, Andreas and Aldén, Marcus and Brackmann, Christian}},
  issn         = {{0010-2180}},
  keywords     = {{Biomass pyrolysis; Laser diagnostics; Polarization lock-in filtering; Raman spectroscopy}},
  language     = {{eng}},
  pages        = {{219--224}},
  publisher    = {{Elsevier}},
  series       = {{Combustion and Flame}},
  title        = {{Time-resolved polarization lock-in filtering for background suppression in Raman spectroscopy of biomass pyrolysis}},
  url          = {{https://lup.lub.lu.se/search/files/119445217/Kim_CnF_224_2021.pdf}},
  doi          = {{10.1016/j.combustflame.2020.12.011}},
  volume       = {{224}},
  year         = {{2020}},
}