Interlaboratory study of the quality of water vapor sorption data for wood from automated sorption balances

被引:0
作者
Samuel L. Zelinka [1 ]
Samuel V. Glass [1 ]
Natalia Farkas [1 ]
Emil E. Thybring [2 ]
Michael Altgen [3 ]
Lauri Rautkari [13 ]
Simon Curling [3 ]
Jinzhen Cao [4 ]
Yujiao Wang [6 ]
Tina Künniger [6 ]
Gustav Nyström [7 ]
Christopher Hubert Dreimol [7 ]
Ingo Burgert [7 ]
Mark G. Roper [8 ]
Darren P. Broom [7 ]
Matthew Schwarzkopf [8 ]
Arief Yudhanto [9 ]
Mohammad Subah [9 ]
Gilles Lubineau [10 ]
Maria Fredriksson [5 ]
Wiesław Olek [11 ]
Jerzy Majka [11 ]
Nanna Bjerregaard Pedersen [11 ]
Daniel J. Burnett [12 ]
Armando R. Garcia [14 ]
Frieder Dreisbach [14 ]
Louis Waguespack [15 ]
Jennifer Schott [16 ]
Luis G. Esteban [16 ]
Alberto García‑Iruela [17 ]
Thibaut Colinart [18 ]
Romain Rémond [19 ]
Brahim Mazian [20 ]
Patrick Perré [20 ]
Lukas Emmerich [21 ]
机构
[1] Building and Fire Sciences, Forest Service Forest Products Laboratory, Madison, WI
[2] Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen
[3] Department of Bioproducts and Biosystems, School of Chemical Engineering, Aalto University, Espoo
[4] Biocomposites Centre, Bangor University, Gwynedd
[5] Department of Mechanical Engineering, Baylor University, Waco, TX
[6] MOE Key Laboratory of Wooden Material Science and Application, Beijing Forestry University, Beijing
[7] Cellulose & Wood Materials, Empa, Dübendorf
[8] Wood Materials Science, Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, IfB, Zürich
[9] Hiden Isochema Ltd, Warrington
[10] InnoRenew CoE, Izola
[11] King Abdullah University of Science and Technology, Thuwal
[12] Building Materials, Lund University, Lund
[13] Department of Wood Technology, Norwegian Institute of Bioeconomy Research, Ås
[14] Faculty of Forestry and Wood Technology, Poznań University of Life Sciences, Poznań
[15] Institute for Conservation, Royal Danish Academy, Copenhagen
[16] Surface Measurement Systems, Ltd, Allentown, PA
[17] TA Instruments– Waters Gmbh, Hüllhorst
[18] TA Instruments– Waters LLC, New Castle, DE
[19] TA Instruments– Waters LLC, Wood Dale, IL
[20] Escuela Técnica Superior de Ingeniería de Montes, Forestal y del Medio Natural ES, Universidad Politécnica de Madrid, Madrid
[21] Université Bretagne Sud, UMR CNRS 6027, IRDL, Lorient
[22] Université de Lorraine, INRAE, LERMAB, Epinal
[23] Centre Européen de Biotechnologie et de Bioéconomie (CEBB), Laboratoire de Génie des Procédés et Matériaux, CentraleSupélec, Université Paris-Saclay, Pomacle
[24] Department of Wood Biology and Wood Products, University of Göttingen, Göttingen
[25] Center for Forest and Wood‑Based Industries, Wald Und Holz NRW, Olsberg
关键词
Dynamic vapor sorption; Interlaboratory study; Sorption isotherms; Water vapor sorption;
D O I
10.1007/s10450-025-00627-2
中图分类号
学科分类号
摘要
Automated sorption balances are widely used for characterizing the interaction of water vapor with hygroscopic materials. This paper is part of an interlaboratory study investigating the stability and performance of automated sorption balances. A previous paper in this study investigated the mass, temperature, and relative humidity (RH) stability of automated sorption balances by looking at the mass change of a non-hygroscopic sample over time. In this study, we examine the mass stability of wood samples held at constant RH for seven to ten days after a step change. The reason for the long hold times was to collect data to “operational equilibrium” where the change in mass is on the order of the inherent operational stability of the instrument. A total of 80 datasets were acquired from 21 laboratories covering absorption with final RH levels ranging from 10 to 95%. During these long hold times, several unusual behaviors were observed in the mass-vs-time curves. Deviations from expected sorption behavior were examined by fitting the data to an empirical sorption kinetics model and calculating the root mean square error (RMSE) between the observed and smoothed behavior. Samples that had a large RMSE relative to the median RMSE of the other datasets often had one of several types of errors: abrupt disturbances, diurnal oscillations, or long-term mass decline during an absorption step. In many cases, mass fluctuations were correlated with changes in the water reservoir temperature of the automated sorption balance. We discuss potential errors in sorption measurements on hygroscopic materials and suggest an acceptable level of RMSE for sorption data. © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2025.
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