Complex cellulosic samples are often difficult to analyse with size-exclusion chromatography. The strong molecular associations of hemicelluloses and lignin with cellulose produce multimodal molar mass distributions (MMD) that are difficult to interpret. More reliable ways of calculating the molar masses of cellulose are thus necessary. This is particularly relevant when studying the kinetics of paper degradation, as the number average molar mass is the most precise indicator. In this study various data handling methods based on the deconvolution of bimodal and multimodal MMDs of complex cellulosic samples after SEC-MALS-DRI analysis are examined in order to propose more accurate paper degradation rates. Two deconvolution methods, which do or do not rely on polymer calibration curves were developed and were applied to several kraft and groundwood pulp papers unaged and hygrothermally aged. The deconvolution methods are discussed and evaluated in light of calculated cellulose activation energies, degradation rates and paper usable lifetime predictions.

复杂的纤维素样品通常很难通过尺寸排阻色谱法进行分析。半纤维素和木质素与纤维素的强分子缔合产生了难以解释的多峰摩尔质量分布（MMD）。因此，需要更可靠的方法来计算纤维素的摩尔质量。在研究纸张降解动力学时，这一点尤其重要，因为数均摩尔质量是最精确的指标。在这项研究中，研究了基于SEC-MALS-DRI分析后的复杂纤维素样品的双峰和多峰MMD去卷积的各种数据处理方法，以提出更准确的纸张降解率。两种反卷积方法 开发了不依赖于聚合物校准曲线或不依赖于聚合物校准曲线的方法，并将其应用于几种未老化且经湿热老化的牛皮纸和木浆纸。根据计算出的纤维素活化能，降解率和纸张可用寿命预测，对去卷积方法进行了讨论和评估。