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通过数字化产品开发优化植物性食品的蛋白质质量

Optimization of Protein Quality of Plant-Based Foods Through Digitalized Product Development.

作者信息

Rojas Conzuelo Zaray, Robyr Roger, Kopf-Bolanz Katrin A

机构信息

School of Agricultural, Forest and Food Sciences HAFL, Bern University of Applied Sciences, Bern, Switzerland.

出版信息

Front Nutr. 2022 May 10;9:902565. doi: 10.3389/fnut.2022.902565. eCollection 2022.

DOI:10.3389/fnut.2022.902565
PMID:35619962
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9128549/
Abstract

With the increasing availability of plant-based protein products that should serve as alternatives to animal-based protein products, it is necessary to develop not only environmentally friendly but also nutritious foods. Especially the protein content and quality are of concern in these products. The algorithm of NutriOpt was developed using linear programming to support the development of food products with a balanced amino acid profile while considering digestibility. The current version contains a database with 84 plant protein sources from different food groups (legumes, cereals, nuts, seeds) and with different grades of purification (flours, concentrates, isolates) from which NutriOpt can create mixtures with high protein quality while complying with constraints such as protein content, number of ingredients, and weight of the mixture. The program was tested through different case studies based on commercial plant-based drinks. It was possible to obtain formulations with a Protein Digestibility Corrected Amino Acid Score (PDCAAS) over 100 with ingredients and quantities potentially suitable for plant-based analogs. Our model can help to develop the second generation of plant-based product alternatives that can really be used as an alternative on long-term consumption. Further, there is still a great potential of expansion of the program for example to use press cakes or even to model whole menus or diets in the future.

摘要

随着越来越多的植物性蛋白质产品可作为动物性蛋白质产品的替代品,开发不仅环保而且营养丰富的食品变得很有必要。尤其是这些产品中的蛋白质含量和质量备受关注。NutriOpt算法是利用线性规划开发的,旨在支持开发氨基酸谱平衡且兼顾消化率的食品。当前版本包含一个数据库,其中有来自不同食物类别(豆类、谷物、坚果、种子)以及不同提纯等级(面粉、浓缩物、分离物)的84种植物蛋白来源,NutriOpt可以从中创建具有高蛋白质量的混合物,同时符合蛋白质含量、成分数量和混合物重量等限制条件。该程序通过基于商业植物性饮料的不同案例研究进行了测试。使用可能适用于植物性类似产品的成分和数量,可以获得蛋白质消化率校正氨基酸评分(PDCAAS)超过100的配方。我们的模型有助于开发第二代植物性产品替代品,这些替代品在长期食用时真的可以用作替代品。此外,该程序还有很大的扩展潜力,例如未来可用于使用压榨饼甚至对整个菜单或饮食进行建模。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/9128549/cedb8ce0db2a/fnut-09-902565-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/9128549/674a4437be5b/fnut-09-902565-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/9128549/f04e98243f1c/fnut-09-902565-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/9128549/cc6d8efba4e0/fnut-09-902565-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/9128549/a891e666139a/fnut-09-902565-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/9128549/cedb8ce0db2a/fnut-09-902565-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/9128549/674a4437be5b/fnut-09-902565-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/9128549/f04e98243f1c/fnut-09-902565-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/9128549/cc6d8efba4e0/fnut-09-902565-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/9128549/a891e666139a/fnut-09-902565-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/9128549/cedb8ce0db2a/fnut-09-902565-g005.jpg

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Life cycle assessment of animal-based foods and plant-based protein-rich alternatives: an environmental perspective.动物源食品和植物高蛋白替代食品的生命周期评估:环境视角。
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