The performance of cellulosic materials is intimately linked to their moisture content. Over the last century, many studies have been devoted to examining the moisture uptake in equilibrium with surrounding environmental conditions. However, with the adoption of automated sorption balances in laboratories worldwide, it has become increasingly popular to study the approach to equilibrium, i.e., sorption kinetics. Recording the moisture content change between two equilibrium states produces a wealth of data, which necessitates a robust methodology for analysis. In this study, we employ exponential decay analysis on sorption kinetic data obtained in a previous study for loblolly pine, holocellulose, office paper and microcrystalline cellulose. Unlike other methods that are constrained by a fixed number of fitting parameters or similar constraints, exponential decay analysis is a flexible, data-driven methodology for analyzing sorption kinetics. No physical meaning is assigned to the output from the analysis. However, the methodology yields robust results in relation to various measurement uncertainties. As a result, exponential decay analysis can provide a reliable description of the dominant time scales of sorption kinetics. Hereby, the methodology offers a new way to evaluate the suitability of theoretical models for describing sorption kinetics.

纤维素材料的性能与其水分含量密切相关。在上个世纪，许多研究致力于检查与周围环境条件平衡的水分吸收。但是，随着全世界实验室中采用自动吸附天平，研究平衡方法（即吸附动力学）变得越来越普遍。记录两个平衡状态之间的水分含量变化会产生大量数据，这需要一种可靠的分析方法。在这项研究中，我们对先前研究中的火炬松，全纤维素，办公用纸和微晶纤维素的吸附动力学数据进行了指数衰减分析。与受固定数量的拟合参数或类似约束约束的其他方法不同，指数衰减分析是一种用于分析吸附动力学的灵活的，数据驱动的方法。没有将物理意义分配给分析的输出。但是，该方法得出了与各种测量不确定度有关的可靠结果。结果，指数衰减分析可以提供吸附动力学主要时间尺度的可靠描述。因此，该方法提供了一种新的方法来评估用于描述吸附动力学的理论模型的适用性。指数衰减分析可以提供吸附动力学主要时间尺度的可靠描述。因此，该方法提供了一种新的方法来评估用于描述吸附动力学的理论模型的适用性。指数衰减分析可以提供吸附动力学主要时间尺度的可靠描述。因此，该方法提供了一种新的方法来评估用于描述吸附动力学的理论模型的适用性。