Samuel L. Zelinka, Samuel V. Glass, Natalia Farkas, Emil E. Thybring, Michael Altgen, Lauri Rautkari, Simon Curling, Jinzhen Cao, Yujiao Wang, Tina Künniger, Gustav Nyström, Christopher Hubert Dreimol, Ingo Burgert, Mark G. Roper, Darren P. Broom, Matthew Schwarzkopf, Arief Yudhanto, Mohammad Subah, Gilles Lubineau, Maria Fredriksson, Wiesław Olek, Jerzy Majka, Nanna Bjerregaard Pedersen, Daniel J. Burnett, Armando R. Garcia, Frieder Dreisbach, Louis Waguespack, Jennifer Schott, Luis G. Esteban, Alberto García‑Iruela, Thibaut Colinart, Romain Rémond, Brahim Mazian, Patrick Perré, Lukas Emmerich
{"title":"Interlaboratory study of the quality of water vapor sorption data for wood from automated sorption balances","authors":"Samuel L. Zelinka, Samuel V. Glass, Natalia Farkas, Emil E. Thybring, Michael Altgen, Lauri Rautkari, Simon Curling, Jinzhen Cao, Yujiao Wang, Tina Künniger, Gustav Nyström, Christopher Hubert Dreimol, Ingo Burgert, Mark G. Roper, Darren P. Broom, Matthew Schwarzkopf, Arief Yudhanto, Mohammad Subah, Gilles Lubineau, Maria Fredriksson, Wiesław Olek, Jerzy Majka, Nanna Bjerregaard Pedersen, Daniel J. Burnett, Armando R. Garcia, Frieder Dreisbach, Louis Waguespack, Jennifer Schott, Luis G. Esteban, Alberto García‑Iruela, Thibaut Colinart, Romain Rémond, Brahim Mazian, Patrick Perré, Lukas Emmerich","doi":"10.1007/s10450-025-00627-2","DOIUrl":null,"url":null,"abstract":"<div><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></div>","PeriodicalId":458,"journal":{"name":"Adsorption","volume":"31 4","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10450-025-00627-2.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Adsorption","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10450-025-00627-2","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
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 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.
期刊介绍:
The journal Adsorption provides authoritative information on adsorption and allied fields to scientists, engineers, and technologists throughout the world. The information takes the form of peer-reviewed articles, R&D notes, topical review papers, tutorial papers, book reviews, meeting announcements, and news.
Coverage includes fundamental and practical aspects of adsorption: mathematics, thermodynamics, chemistry, and physics, as well as processes, applications, models engineering, and equipment design.
Among the topics are Adsorbents: new materials, new synthesis techniques, characterization of structure and properties, and applications; Equilibria: novel theories or semi-empirical models, experimental data, and new measurement methods; Kinetics: new models, experimental data, and measurement methods. Processes: chemical, biochemical, environmental, and other applications, purification or bulk separation, fixed bed or moving bed systems, simulations, experiments, and design procedures.