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XRF mapping with polycapillary optics for assessing sulfonate distribution in impregnated CTMP fibers
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-).ORCID iD: 0009-0002-6915-3892
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-).
Mid Sweden University, Faculty of Science, Technology and Media, Department of Engineering, Mathematics, and Science Education (2023-).ORCID iD: 0000-0003-1108-9816
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-).ORCID iD: 0000-0002-5619-409X
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2025 (English)In: 26th International Workshop on Radiation Imaging Detectors, 2025, article id poster/115Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Uniform sulfonation using Na₂SO₃ is critical in chemithermomechanical pulp (CTMP) productionfor ensuring efficient processing and high product quality. However, achieving even distributionof sulfonate groups (–SO₃⁻) across wood fibers is challenging due to variability in wood chip size.To investigate sulfur(S) at the microscale, we developed a cost-effective X-ray fluorescence (XRF)imaging system utilizing polycapillary focusing optics. This setup enables high-resolution elementalmapping, achieving a spot size of ˜15 μm and spatial resolution of 15–20 μm, as confirmed witha chromium test pattern. A 3D-printed sealed chamber enables helium flushing, significantly enhancingthe detection of low atomic number elements, particularly sodium (Na). XRF imaging ofCTMP sheets reveals the distribution contours of S along individual wood fibers. This method offersa practical tool for evaluating and optimizing sulfonation uniformity during fiber impregnation inindustrial CTMP processes.

Place, publisher, year, edition, pages
2025. article id poster/115
Keywords [en]
XRF, Polycapillary Optics, CTMP fiber
National Category
Engineering and Technology Electrical Engineering, Electronic Engineering, Information Engineering Chemical Engineering
Identifiers
URN: urn:nbn:se:miun:diva-55933OAI: oai:DiVA.org:miun-55933DiVA, id: diva2:2012007
Conference
IWORID 2025 (26th International Workshop on Radiation Imaging Detectors), Bratislava, Slovakia, 6-10 July, 2025
Note

Abstract at Abstract Book,  Poster number 115.

Available from: 2025-11-06 Created: 2025-11-06 Last updated: 2025-12-08Bibliographically approved

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Foroughi, FarangisRahman, HafizurKrapohl, DavidMenk, Ralf HendrikNorlin, Börje

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Foroughi, FarangisRahman, HafizurKrapohl, DavidMenk, Ralf HendrikNorlin, Börje
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Department of Computer and Electrical Engineering (2023-)Department of Engineering, Mathematics, and Science Education (2023-)
Engineering and TechnologyElectrical Engineering, Electronic Engineering, Information EngineeringChemical Engineering

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