Chemical Composition, Hygroscopic Properties, Particle Size Distribution, and Morphological Characterization of Lignocellulosic Fibres from Virgin and Recycled Sources
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2026
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| _version_ | 1866902162795134976 |
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| author | López Gómez, Yeray Manuel Xu, Changling Alao, Percy Van Blokland, Joran Adamopoulos, Stergios |
| author_facet | López Gómez, Yeray Manuel Xu, Changling Alao, Percy Van Blokland, Joran Adamopoulos, Stergios |
| contents | <p><span lang="EN-GB">This record contains five complementary datasets describing the chemical, hygroscopic, and morphological properties of lignocellulosic fibres produced from virgin wood, recycled fibreboard waste, and mixed raw-material streams. The datasets include measurements of nitrogen content, dynamic vapor sorption behaviour, sieve-based particle size distribution, fibre and fines characterization using fibre tester image analysis, and fibre and fines morphology obtained by QICPIC dynamic image analysis. Together, these datasets enable systematic comparison of fibre composition, moisture–material interactions, particle size characteristics, and morphological descriptors across different industrial processing routes. The data support research in fibreboards, pulp and paper science, bio-based materials, and circular bioeconomy applications and can be used independently or in combination.</span></p> <p><strong><span lang="EN-GB">Keywords</span></strong></p> <p><span lang="EN-GB">Lignocellulosic fibres; Nitrogen content; Dynamic Vapor Sorption; Sieve analysis; Particle size distribution; Fibre morphology; Fines content; Fibre tester; QICPIC; Bio-based materials; Circular economy</span></p> <p> </p> <p><strong><span lang="EN-GB">Dataset 1: Nitrogen Content of Lignocellulosic Fibres</span></strong></p> <p><strong><span lang="EN-GB">Overview</span></strong></p> <p><span lang="EN-GB">This dataset compiles nitrogen content–related information for lignocellulosic fibres obtained from different raw materials and fibre-processing technologies. Nitrogen content is relevant for understanding fibre chemistry, emissions, and downstream material performance.</span></p> <p><strong><span lang="EN-GB">Content</span></strong></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Fibre sample identifiers.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Raw material origin (virgin, recycled, mixed).</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Fibre-processing route and process type.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Key processing parameters, when available.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Measured nitrogen, carbon and dry content.</span></p> <p> </p> <p><strong><span lang="EN-GB">Dataset 2: Dynamic Vapor Sorption (DVS) Analysis of Lignocellulosic Fibres</span></strong></p> <p><strong><span lang="EN-GB">Overview</span></strong></p> <p><span lang="EN-GB">This dataset contains Dynamic Vapor Sorption (DVS) measurements describing the hygroscopic behaviour of lignocellulosic fibres under controlled relative humidity conditions.</span></p> <p><strong><span lang="EN-GB">Content</span></strong></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Fibre sample identifiers and material descriptions.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Fibre origin and processing route.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">DVS experimental parameters.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Moisture sorption and desorption data.</span></p> <p><span lang="EN-GB"> </span></p> <p><strong><span lang="EN-GB">Dataset 3: Sieve Analysis and Particle Size Distribution of Lignocellulosic Fibres</span></strong></p> <p><strong><span lang="EN-GB">Overview</span></strong></p> <p><span lang="EN-GB">This dataset provides sieve analysis results describing the particle size distribution of lignocellulosic fibres from different production routes.</span></p> <p><strong><span lang="EN-GB">Content</span></strong></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Fibre sample identifiers and material descriptions.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Raw material origin and fibre-processing route.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Sieve size classes.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Percentage retained in each fraction.</span></p> <p><span lang="EN-GB"> </span></p> <p><strong><span lang="EN-GB">Dataset 4: Fibre and Fines Characterization Using Fibre Tester Image Analysis</span></strong></p> <p><strong><span lang="EN-GB">Overview</span></strong></p> <p><span lang="EN-GB">This dataset contains quantitative fibre and fines characterization data obtained using a fibre tester image analysis system. The method provides statistically robust morphological descriptors of fibres and fines, enabling systematic comparison of size and shape across processing conditions.</span></p> <p><strong><span lang="EN-GB">Methods</span></strong></p> <p><span lang="EN-GB">Fibre and fines measurements were carried out using an automated fibre tester image analysis system combining optical imaging and digital image processing. Measurements were conducted under controlled conditions to ensure reproducibility.</span></p> <p><strong><span lang="EN-GB">Content</span></strong></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Fibre source and processing route information.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Quantitative morphological parameters, including:</span></p> <p><span lang="EN-GB"> o </span><span lang="EN-GB">Fibre length and width indicators.</span></p> <p><span lang="EN-GB"> o </span><span lang="EN-GB">Kink and shape descriptors.</span></p> <p><span lang="EN-GB"> o </span><span lang="EN-GB">Fines content metrics.</span></p> <p><span lang="EN-GB"> </span></p> <p><strong><span lang="EN-GB">Dataset 5: Fibre and Fines Morphological Characterization Using QICPIC Dynamic Image Analysis</span></strong></p> <p><strong><span lang="EN-GB">Overview</span></strong></p> <p><span lang="EN-GB">This dataset contains fibre and fines morphological data obtained using QICPIC dynamic image analysis. The data provide quantitative descriptors of particle size, shape, and distribution for fibres produced by thermo-mechanical, modified thermo-mechanical, wet, and dry processes.</span></p> <p><strong><span lang="EN-GB">Methods</span></strong></p> <p><span lang="EN-GB">Measurements were performed using the QICPIC dynamic image analysis system, which captures high-speed images of particles in motion and extracts morphological parameters through automated image processing. Samples were dispersed to ensure representative particle flow and minimize agglomeration.</span></p> <p><strong><span lang="EN-GB">Content</span></strong></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Sample identifiers and processing route codes.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Fibre origin descriptions.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Quantitative morphological parameters, including:</span></p> <p><span lang="EN-GB"> o </span><span lang="EN-GB">Particle and fibre size distributions.</span></p> <p><span lang="EN-GB"> o </span><span lang="EN-GB">Length and width metrics.</span></p> <p><span lang="EN-GB"> o </span><span lang="EN-GB">Shape descriptors for fibre and fines classification.</span></p> <p><span lang="EN-GB"> </span></p> <p><span lang="EN-GB"> </span></p> <p><span lang="EN-GB"> </span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18696991 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Chemical Composition, Hygroscopic Properties, Particle Size Distribution, and Morphological Characterization of Lignocellulosic Fibres from Virgin and Recycled Sources López Gómez, Yeray Manuel Xu, Changling Alao, Percy Van Blokland, Joran Adamopoulos, Stergios Fibre morphology Lignocellulosic fibres Dynamic Vapor Sorption Particle size distribution Nitrogen content Fines content Fibre tester QICPIC Bio-based materials Circular economy Sieve analysis <p><span lang="EN-GB">This record contains five complementary datasets describing the chemical, hygroscopic, and morphological properties of lignocellulosic fibres produced from virgin wood, recycled fibreboard waste, and mixed raw-material streams. The datasets include measurements of nitrogen content, dynamic vapor sorption behaviour, sieve-based particle size distribution, fibre and fines characterization using fibre tester image analysis, and fibre and fines morphology obtained by QICPIC dynamic image analysis. Together, these datasets enable systematic comparison of fibre composition, moisture–material interactions, particle size characteristics, and morphological descriptors across different industrial processing routes. The data support research in fibreboards, pulp and paper science, bio-based materials, and circular bioeconomy applications and can be used independently or in combination.</span></p> <p><strong><span lang="EN-GB">Keywords</span></strong></p> <p><span lang="EN-GB">Lignocellulosic fibres; Nitrogen content; Dynamic Vapor Sorption; Sieve analysis; Particle size distribution; Fibre morphology; Fines content; Fibre tester; QICPIC; Bio-based materials; Circular economy</span></p> <p> </p> <p><strong><span lang="EN-GB">Dataset 1: Nitrogen Content of Lignocellulosic Fibres</span></strong></p> <p><strong><span lang="EN-GB">Overview</span></strong></p> <p><span lang="EN-GB">This dataset compiles nitrogen content–related information for lignocellulosic fibres obtained from different raw materials and fibre-processing technologies. Nitrogen content is relevant for understanding fibre chemistry, emissions, and downstream material performance.</span></p> <p><strong><span lang="EN-GB">Content</span></strong></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Fibre sample identifiers.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Raw material origin (virgin, recycled, mixed).</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Fibre-processing route and process type.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Key processing parameters, when available.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Measured nitrogen, carbon and dry content.</span></p> <p> </p> <p><strong><span lang="EN-GB">Dataset 2: Dynamic Vapor Sorption (DVS) Analysis of Lignocellulosic Fibres</span></strong></p> <p><strong><span lang="EN-GB">Overview</span></strong></p> <p><span lang="EN-GB">This dataset contains Dynamic Vapor Sorption (DVS) measurements describing the hygroscopic behaviour of lignocellulosic fibres under controlled relative humidity conditions.</span></p> <p><strong><span lang="EN-GB">Content</span></strong></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Fibre sample identifiers and material descriptions.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Fibre origin and processing route.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">DVS experimental parameters.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Moisture sorption and desorption data.</span></p> <p><span lang="EN-GB"> </span></p> <p><strong><span lang="EN-GB">Dataset 3: Sieve Analysis and Particle Size Distribution of Lignocellulosic Fibres</span></strong></p> <p><strong><span lang="EN-GB">Overview</span></strong></p> <p><span lang="EN-GB">This dataset provides sieve analysis results describing the particle size distribution of lignocellulosic fibres from different production routes.</span></p> <p><strong><span lang="EN-GB">Content</span></strong></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Fibre sample identifiers and material descriptions.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Raw material origin and fibre-processing route.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Sieve size classes.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Percentage retained in each fraction.</span></p> <p><span lang="EN-GB"> </span></p> <p><strong><span lang="EN-GB">Dataset 4: Fibre and Fines Characterization Using Fibre Tester Image Analysis</span></strong></p> <p><strong><span lang="EN-GB">Overview</span></strong></p> <p><span lang="EN-GB">This dataset contains quantitative fibre and fines characterization data obtained using a fibre tester image analysis system. The method provides statistically robust morphological descriptors of fibres and fines, enabling systematic comparison of size and shape across processing conditions.</span></p> <p><strong><span lang="EN-GB">Methods</span></strong></p> <p><span lang="EN-GB">Fibre and fines measurements were carried out using an automated fibre tester image analysis system combining optical imaging and digital image processing. Measurements were conducted under controlled conditions to ensure reproducibility.</span></p> <p><strong><span lang="EN-GB">Content</span></strong></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Fibre source and processing route information.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Quantitative morphological parameters, including:</span></p> <p><span lang="EN-GB"> o </span><span lang="EN-GB">Fibre length and width indicators.</span></p> <p><span lang="EN-GB"> o </span><span lang="EN-GB">Kink and shape descriptors.</span></p> <p><span lang="EN-GB"> o </span><span lang="EN-GB">Fines content metrics.</span></p> <p><span lang="EN-GB"> </span></p> <p><strong><span lang="EN-GB">Dataset 5: Fibre and Fines Morphological Characterization Using QICPIC Dynamic Image Analysis</span></strong></p> <p><strong><span lang="EN-GB">Overview</span></strong></p> <p><span lang="EN-GB">This dataset contains fibre and fines morphological data obtained using QICPIC dynamic image analysis. The data provide quantitative descriptors of particle size, shape, and distribution for fibres produced by thermo-mechanical, modified thermo-mechanical, wet, and dry processes.</span></p> <p><strong><span lang="EN-GB">Methods</span></strong></p> <p><span lang="EN-GB">Measurements were performed using the QICPIC dynamic image analysis system, which captures high-speed images of particles in motion and extracts morphological parameters through automated image processing. Samples were dispersed to ensure representative particle flow and minimize agglomeration.</span></p> <p><strong><span lang="EN-GB">Content</span></strong></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Sample identifiers and processing route codes.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Fibre origin descriptions.</span></p> <p><span lang="EN-GB">· </span><span lang="EN-GB">Quantitative morphological parameters, including:</span></p> <p><span lang="EN-GB"> o </span><span lang="EN-GB">Particle and fibre size distributions.</span></p> <p><span lang="EN-GB"> o </span><span lang="EN-GB">Length and width metrics.</span></p> <p><span lang="EN-GB"> o </span><span lang="EN-GB">Shape descriptors for fibre and fines classification.</span></p> <p><span lang="EN-GB"> </span></p> <p><span lang="EN-GB"> </span></p> <p><span lang="EN-GB"> </span></p> |
| title | Chemical Composition, Hygroscopic Properties, Particle Size Distribution, and Morphological Characterization of Lignocellulosic Fibres from Virgin and Recycled Sources |
| topic | Fibre morphology Lignocellulosic fibres Dynamic Vapor Sorption Particle size distribution Nitrogen content Fines content Fibre tester QICPIC Bio-based materials Circular economy Sieve analysis |
| url | https://doi.org/10.5281/zenodo.18696991 |