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

Zelinka, Samuel L. ; Glass, Samuel V. ; Farkas, Natalia ; Thybring, Emil E. LU orcid ; Altgen, Michael ; Rautkari, Lauri ; Curling, Simon ; Cao, Jinzhen ; Wang, Yujiao and Künniger, Tina , et al. (2025) In Adsorption 31(4).
Abstract

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... (More)

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.

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type
Contribution to journal
publication status
published
subject
keywords
Dynamic vapor sorption, Interlaboratory study, Sorption isotherms, Water vapor sorption
in
Adsorption
volume
31
issue
4
article number
74
publisher
Springer
external identifiers
  • scopus:105002928058
ISSN
0929-5607
DOI
10.1007/s10450-025-00627-2
language
English
LU publication?
yes
id
34b8eca9-7c41-4e34-a747-1d2a1bfc9a13
date added to LUP
2025-08-19 09:26:33
date last changed
2025-08-19 09:27:42
@article{34b8eca9-7c41-4e34-a747-1d2a1bfc9a13,
  abstract     = {{<p>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.</p>}},
  author       = {{Zelinka, Samuel L. and Glass, Samuel V. and Farkas, Natalia and Thybring, Emil E. and Altgen, Michael and Rautkari, Lauri and Curling, Simon and Cao, Jinzhen and Wang, Yujiao and Künniger, Tina and Nyström, Gustav and Dreimol, Christopher Hubert and Burgert, Ingo and Roper, Mark G. and Broom, Darren P. and Schwarzkopf, Matthew and Yudhanto, Arief and Subah, Mohammad and Lubineau, Gilles and Fredriksson, Maria and Olek, Wiesław and Majka, Jerzy and Pedersen, Nanna Bjerregaard and Burnett, Daniel J. and Garcia, Armando R. and Dreisbach, Frieder and Waguespack, Louis and Schott, Jennifer and Esteban, Luis G. and García‑Iruela, Alberto and Colinart, Thibaut and Rémond, Romain and Mazian, Brahim and Perré, Patrick and Emmerich, Lukas}},
  issn         = {{0929-5607}},
  keywords     = {{Dynamic vapor sorption; Interlaboratory study; Sorption isotherms; Water vapor sorption}},
  language     = {{eng}},
  number       = {{4}},
  publisher    = {{Springer}},
  series       = {{Adsorption}},
  title        = {{Interlaboratory study of the quality of water vapor sorption data for wood from automated sorption balances}},
  url          = {{http://dx.doi.org/10.1007/s10450-025-00627-2}},
  doi          = {{10.1007/s10450-025-00627-2}},
  volume       = {{31}},
  year         = {{2025}},
}