Interlaboratory study of the quality of water vapor sorption data for wood from automated sorption balances
Type
Journal article
Language
English
Date issued
2025
Author
Zelinka, Samuel L.
Glass, Samuel V.
Farkas, Natalia
Thybring, Emil E.
Altgen, Michael
Rautkari, Lauri
Curling, Simon
Cao, Jinzhen
Wang, Yujiao
Künniger, Tina
Nyström, Gustav
Dreimol, Christopher Hubert
Burgert, Ingo
Roper, Mark G.
Broom, Darren P.
Schwarzkopf, Matthew
Yudhanto, Arief
Subah, Mohammad
Lubineau, Gilles
Fredriksson, Maria
Pedersen, Nanna Bjerregaard
Burnett, Daniel J.
Garcia, Armando R.
Dreisbach, Frieder
Waguespack, Louis
Schott, Jennifer
Esteban, Luis G.
García‑Iruela, Alberto
Colinart, Thibaut
Rémond, Romain
Mazian, Brahim
Perré, Patrick
Emmerich, Lukas
Faculty
Wydział Leśny i Technologii Drewna
PBN discipline
forestry
Journal
Adsorption
ISSN
0929-5607
Volume
31
Number
4
Pages from-to
art. 74
Abstract (EN)
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.
License
CC-BY - Attribution
Open access date
April 14, 2025