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Expression of Cementitious Pore Solution and the Analysis of Its Chemical Composition and Resistivity Using X-ray Fluorescence
Published on: September 23, 2018
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On-Site X-ray Fluorescence Spectrometry Measurement Strategy for Assessing the Sulfonation to Improve Chemimechanical
Hafizur Rahman1, Siwen An2, Börje Norlin1
1Mid Sweden University, Holmgatan 10, 851 70 Sundsvall, Sweden.
ACS Omega
|January 2, 2023
Summary
Improving chemimechanical pulp requires even sulfonation. A new miniaturized ED-XRF method effectively measures sulfur distribution in wood fibers, aiding process optimization.
Area of Science:
- Pulp and Paper Science
- Materials Science
- Analytical Chemistry
Background:
- Minimizing fiber property variation can enhance chemimechanical pulp quality and process efficiency.
- Even distribution of sodium sulfite (Na2SO3) in chemimechanical pulping is challenging due to raw material variability and processing methods.
- Understanding microscale sulfonation is crucial for optimizing pulp properties.
Purpose of the Study:
- To develop a method for measuring microscale sulfonate distribution in wood chips and fibers.
- To assess the evenness of sodium sulfite impregnation at the fiber level.
- To provide insights for improving chemimechanical pulping processes.
Main Methods:
- Development of a miniaturized energy-dispersive X-ray fluorescence (ED-XRF) method.
- Analysis of elemental sulfur distribution within wood structures.
- Measurement of counterions (e.g., sodium, calcium) associated with sulfonate groups.
Main Results:
- The developed ED-XRF method enables effective measurement of sulfur distribution at the microscale.
- The technique provides data on the unevenness of fiber sulfonation prior to defibration.
- Sulfur distribution analysis can be performed on individual wood chips and fibers.
Conclusions:
- Accurate measurement of sulfonation distribution is essential for improving pulp properties and process efficiency.
- The miniaturized ED-XRF method is suitable for industrial laboratories.
- Further development can enhance image resolution and reduce measurement time for broader application.
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