Purpose

The mucilage of the Linum usitatissimum L. seed (Linseed) is one of the natural mucilages that presents a great potential to provide a food hydrocolloid with potential applications in both food and pharmaceutical industries. To increase the yield and quality of linseed oil during its production process, it is necessary to previously extract its polysaccharides. Because of this, flax mucilage production can be made viable as a byproduct of oil extraction process, which is already a product of high commercial value consolidated in the market. Thus, the purpose of this work is to optimize the mucilage extraction process of L. usitatissimum L. using the normal-boundary intersection (NBI) multiobjective optimization method.

Design/methodology/approach

Currently, the variables of the process of polysaccharide extraction from different sources are optimized using the response surface methodology. However, when the optimal points of the responses are conflicting it is necessary to study the best conditions to achieve a balance between these conflicting objectives (trade-offs) and to explore the available options it is necessary to formulate an optimization problem with multiple objectives. The multiobjective optimization method used in this work was the NBI developed to find uniformly distributed and continuous Pareto optimal solutions for a nonlinear multiobjective problem.

Findings

The optimum extraction point to obtain the maximum fiber concentration in the extracted material was pH 3.81, temperature of 46°C, time of 13.46 h. The maximum extraction yield of flaxseed was pH 6.45, temperature of 65°C, time of 14.41 h. This result confirms the trade-off relationship between the objectives. NBI approach was able to find uniformly distributed Pareto optimal solutions, which allows to analyze the behavior of the trade-off relationship. Thus, the decision-maker can set extraction conditions to achieve desired characteristics in mucilage.

Originality/value

The novelty of this paper is to confirm the existence of a trade-off relationship between the productivity parameter (yield) and the quality parameter (fiber concentration in the extracted material) during the flaxseed mucilage extraction process. The NBI approach was able to find uniformly distributed Pareto optimal solutions, which allows us to analyze the behavior of the trade-off relationship. This allows the decision-making to the extraction conditions according to the desired characteristics of the final product, thus being able to direct the extraction for the best applicability of the mucilage.

中文翻译：

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正常边界交会法对亚麻籽黏液提取过程的多目标优化

目的

在的粘液亚麻属种子（亚麻籽）是天然植物粘液呈现很大的潜力，提供食品胶体在食品和制药行业的潜在应用之一。为了提高亚麻籽油在生产过程中的产量和质量，有必要事先提取其多糖。因此，可以使亚麻粘液生产成为石油开采过程的副产品，而石油开采过程已经是在市场上巩固了高商业价值的产品。因此，这项工作的目的是使用正向边界相交（NBI）多目标优化方法来优化狼尾草的粘液提取过程。

设计/方法/方法

当前，使用响应面方法对从不同来源提取多糖的过程中的变量进行了优化。但是，当响应的最佳点相互矛盾时，有必要研究最佳条件以在这些相互矛盾的目标（权衡）之间取得平衡，并探索可用的选项，有必要制定出具有多个目标的优化问题。在这项工作中使用的多目标优化方法是NBI开发的，用于发现非线性多目标问题的均匀分布和连续的Pareto最优解。

发现

在提取的材料中获得最大纤维浓度的最佳提取点为pH 3.81，温度为46°C，时间为13.46 h。亚麻籽的最大提取量为pH 6.45，温度65°C，时间14.41h。该结果证实了目标之间的权衡关系。NBI方法能够找到均匀分布的Pareto最优解，从而可以分析权衡关系的行为。因此，决策者可以设置提取条件以获得粘液中所需的特性。

创意/价值

本文的新颖性是要确认在亚麻籽粘液提取过程中，生产率参数（产量）与质量参数（提取材料中的纤维浓度）之间存在折衷关系。NBI方法能够找到均匀分布的Pareto最优解，这使我们能够分析权衡关系的行为。这允许根据最终产品的所需特性来决定提取条件，从而能够指导提取以获得粘液的最佳适用性。