1
Return

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

delete2025-04-14
delete0
delete
OA
AI
S
Samuel L. Zelinka
S
Samuel V. Glass
N
Natalia Farkas
E
Emil Engelund Thybring
M
Michael Altgen
L
Lauri Rautkari
S
Simon Curling
曹金珍 cover
曹金珍 (Jinzhen Cao)
Y
Yujiao Wang
T
Tina Kuenniger
N
Nyström, G
C
Christopher H. Dreimol
I
Ingo Burgert
R
Roper, MG
D
Darren P. Broom
M
Matthew Schwarzkopf
A
Arief Yudhanto
M
Mohammad Subah
G
Gilles Lubineau
M
Maria Fredriksson
W
Wiesław Olek
J
Jerzy Majka
N
Nanna Bjerregaard Pedersen
D
Daniel J. Burnett
A
Armando R. Garcia
F
F. Dreisbach
L
Louis Waguespack
J
Jennifer A. Schott
L
Luis García Esteban
A
Alberto García‐Iruela
T
Thibaut Colinart
R
Romain Rémond
B
Brahim Mazian
P
Patrick Perré
L
Lukas Emmerich
DOI:10.1007/s10450-025-00627-2delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
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.
Keywords:
Water vapor sorption
Dynamic vapor sorption
Sorption isotherms
Interlaboratory study

Journal

A
Adsorption-Journal of the International Adsorption Society
IF:
3.1
Papers:
2.1K
Citations:
3.9K

Organization

R
Royal Danish Acad
Scholars:
6
Papers: 4
Citations: 0
U
Univ Bretagne Sud
Scholars:
48
Papers: 23
Citations: 4
N
Norwegian Inst Bioecon Res
Scholars:
30
Papers: 22
Citations: 5
W
Wald and Holz NRW
Scholars:
1
Papers: 1
Citations: 0
U
Univ Copenhagen
Scholars:
3.1K
Papers: 1.5K
Citations: 707
P
Poznan Univ Life Sci
Scholars:
262
Papers: 120
Citations: 34
F
Forest Serv Forest Prod Lab
Scholars:
3
Papers: 1
Citations: 0
T
TA Instruments Waters GmbH
Scholars:
1
Papers: 1
Citations: 0
S
Surface Measurement Syst Ltd
Scholars:
6
Papers: 4
Citations: 1
I
InnoRenew CoE
Scholars:
14
Papers: 7
Citations: 90
T
TA Instruments Waters LLC
Scholars:
2
Papers: 1
Citations: 0
S
Swiss Fed Inst Technol
Scholars:
2.3K
Papers: 1.1K
Citations: 517
H
Hiden Isochema Ltd
Scholars:
2
Papers: 1
Citations: 0
U
Univ Politecn Madrid
Scholars:
583
Papers: 308
Citations: 58
U
Univ Lorraine
Scholars:
753
Papers: 441
Citations: 173
U
Universite Paris Saclay
Scholars:
7.2W
Papers: 5.2W
Citations: 540
Cited Papers

Cited Papers

Citing Papers

Citing Papers