Evaluating the experimental uncertainty in gas and vapor sorption/adsorption measurements: fundamental considerations and experimental design implications
Evaluating the experimental uncertainty in gas and vapor sorption/adsorption measurements: fundamental considerations and experimental design implications
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评估气体和蒸气吸附/吸附测量的实验不确定性：基本考虑因素和实验设计影响
DOI：
10.1021/acs.iecr.2c01414
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Galizia, Michele
中科院分区：
文献类型：
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作者：
Box, William J.;Webb, Matthew;Galizia, Michele
高质量、准确和可靠的吸附和吸附数据为设计用于气体和液体分离的大规模、节能的膜/吸附工艺以及评估其技术经济可行性提供了基础。正如大卫肖尔教授在2020年北美膜学会（NAMS）会议的全体演讲中所强调的那样，与已发表的吸附/吸附数据相关的不确定性的缺乏是分离技术进步的主要障碍之一。在这项研究中，提出了一个标准的方法来估计与吸附/吸附测量的不确定性。在各种操作条件下，使用气压法在聚合物中的气体和蒸汽吸附/吸附测量的实验不确定度的系统分析进行，个性化的因素，最有助于在不同的实验操作模式下的整体不确定度。这一努力应推动该领域的研究人员采用标准化方法来估计实验不确定度，预计这将使来自世界不同实验室的实验数据更容易比较。最后，线性误差传播方法的有效性，通常用于评估的吸附/吸附数据的不确定性，证明了一个vis-a-vis-vis与Monte Carlo统计方法的比较。强调和讨论的基本方面和实际影响。
High-quality, accurate, and reliable sorption and adsorption data provide the basis for designing large-scale, energy-efficient membrane/adsorption processes for gas and liquid separations and evaluating their techno-economic feasibility. As highlighted by Prof. David Sholl during his plenary lecture at the 2020 NAMS (North American Membrane Society) conference, the lack of uncertainty associated with published sorption/adsorption data represents one of the major roadblocks to progress in separation technologies. In this study, a standard methodology to estimate the uncertainty associated with sorption/adsorption measurements is proposed. A systematic analysis of the experimental uncertainty of gas and vapor sorption/adsorption measurement in polymers using the barometric method is performed in a variety of operative conditions, to individuate which factors contribute the most to the overall uncertainty under different experimental operation modes. This effort should push researchers in the field to adopt a standardized method to estimate the experimental uncertainty, which is expected to make experimental data coming from different laboratories in the world easier to compare. Finally, the validity of the linear error propagation method, generally used to evaluate the uncertainty of sorption/adsorption data, is demonstrated by a vis-à-vis comparison with the Monte Carlo statistical method. Fundamental aspects and practical implications are highlighted and discussed.