Abstract Raw material quality disparity is an unavoidable and systemic variability in the solid-liquid extraction process of pectin manufacturing. A mathematical model is considered for a robust optimization of the process, taking into the account raw material quality uncertainty, for two different scenarios of pectin product quality profiles. Before application, the model is evaluated through local sensitivity analysis. Raw material-specific parameters and non-significant parameters are removed from the parameter set targeted for identification. Furthermore, it is shown that the model outputs are highly sensitive to the peel specific parameters, which inherently vary from peel-to-peel. This impact was further assessed through an uncertainty analysis, which quantified the variability of model predictions due to the raw material parameter uncertainty for three different types of fruit. The model exhibits a good general depiction of the extraction phenomena. Major operating variables, i.e., temperature, pH and batch time, are optimized in a deterministic manner for each fruit to maximize the final pectin concentration while satisfying given requirements. Based on this, a robust optimization strategy is examined to design an optimal operation strategy in consideration of the inherent uncertainty of feedstock and the desired product quality.

中文翻译：

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果胶提取过程的分析和基于模型的优化

摘要 原料质量差异是果胶生产固液提取过程中不可避免的系统性变异。考虑到原材料质量的不确定性，对于果胶产品质量分布的两种不同情况，数学模型被考虑用于过程的稳健优化。应用前，通过局部敏感性分析对模型进行评估。原材料特定参数和非重要参数从目标识别参数集中删除。此外，还表明模型输出对果皮特定参数高度敏感，这些参数因果皮而异。通过不确定性分析进一步评估了这种影响，由于三种不同类型水果的原材料参数不确定性，它量化了模型预测的可变性。该模型展示了对提取现象的良好概括描述。主要操作变量，即温度、pH 和批次时间，以确定性方式针对每个水果进行优化，以在满足给定要求的同时最大化最终果胶浓度。在此基础上，考虑到原料的固有不确定性和所需的产品质量，研究了稳健的优化策略以设计最佳操作策略。以确定性方式对每个水果进行优化，以在满足给定要求的同时最大化最终果胶浓度。在此基础上，考虑到原料的固有不确定性和所需的产品质量，研究了稳健的优化策略以设计最佳操作策略。以确定性方式对每个水果进行优化，以在满足给定要求的同时最大化最终果胶浓度。在此基础上，考虑到原料的固有不确定性和所需的产品质量，研究了稳健的优化策略以设计最佳操作策略。