Impact of Two-Dimensional Particle Size Distribution on Estimation of Water Vapor Diffusivity in Micrometric Size Cellulose Particles

Autor:	Hélène Angellier-Coussy, David Legland, Valérie Guillard, Valentin Thoury-Monbrun, Sébastien Gaucel
Přispěvatelé:	Ingénierie des Agro-polymères et Technologies Émergentes (UMR IATE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Unité de recherche sur les Biopolymères, Interactions Assemblages (BIA), Institut National de la Recherche Agronomique (INRA), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	Work (thermodynamics) Materials science Ingénierie des aliments Analytical chemistry 02 engineering and technology analyse d'image 010402 general chemistry Thermal diffusivity 01 natural sciences lcsh:Technology Article diffusivité de l'eau chemistry.chemical_compound quartz crystal microbalance microbalance à quartz Adsorption Cellulose Quartz crystal microbalance Particle size distribution Apparent diffusivity Water vapor apparent diffusivity [SDV.IDA]Life Sciences [q-bio]/Food engineering water vapor Food engineering General Materials Science particle size distribution lcsh:Microscopy lcsh:QC120-168.85 lcsh:QH201-278.5 lcsh:T 021001 nanoscience & nanotechnology Aspect ratio (image) taille de particules cellulose 0104 chemical sciences chemistry 13. Climate action lcsh:TA1-2040 Particle-size distribution lcsh:Descriptive and experimental mechanics lcsh:Electrical engineering. Electronics. Nuclear engineering 0210 nano-technology lcsh:Engineering (General). Civil engineering (General) lcsh:TK1-9971
Zdroj:	Materials, Vol 11, Iss 9, p 1712 (2018) Materials Materials, MDPI, 2018, 11 (9), pp.1712. ⟨10.3390/ma11091712⟩ Materials 9 (11), 1712. (2018) Volume 11 Issue 9
ISSN:	1996-1944
DOI:	10.3390/ma11091712⟩
Popis:	This work aims at assessing the impact of two-dimensional particle size distribution (2D-PSD) on the identification of water vapor diffusivity in micrometric size cellulose particles displaying a size aspect ratio lower than 2 and a cylindrical shape. First, different methodologies to obtain the two-dimensional (2D) particle size distribution (diameter versus length) were compared, based on image analysis. Then, experimental sorption kinetics were obtained by using a quartz crystal microbalance (QCM) coupled with a water vapor adsorption system. Diffusivity values were estimated when considering either the 2D-PSD or global descriptors, such as the mean or median diameter and length of particles. Results revealed that the use of an analytical approach when considering the 2D mean-PSD or the median-PSD was the most accurate way to get diffusivity values at the scale of particles in a polydisperse sample of cellulose particles. Following this approach, a water vapor apparent diffusivity of 3.1 × 10&minus 12 ± 2.3 × 12 m2· s&minus 1 was found for the considered cellulose sample. Neglecting PSD in diffusivity estimation led to an underestimation of a factor of 2. This procedure could be extended for all the polydisperse samples in order to have an accurate estimation of water vapor diffusivity at the scale of single particles.
Databáze:	OpenAIRE
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