Screening of different flours for 3D food printing: Optimization of thermomechanical process of soy and rye flour dough

IF 6.3 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Innovative Food Science & Emerging Technologies Pub Date : 2023-07-01 DOI:10.1016/j.ifset.2023.103394
Valérie Guénard-Lampron, Xincheng Liu, Marine Masson, David Blumenthal
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Abstract

3D food printing allows the development of personalized food, but it is necessary to diversify the printable recipes to propose a varied food offer. The objective of this project was to explore the printability potential of different flours and to optimize a thermomechanical process (mixing and heating of water and flour) to ensure good print quality. A bibliographic study of 25 flours and an experimental screening of five flours was conducted. Thanks to the previous steps, soy and rye flour were selected because of their interesting nutritional value and their printability potential. An experimental design (10 trials) for each flour showed a significant impact of the process parameters studied (percentage of water content and duration of the thermomechanical treatment) on print quality. The reverse engineering approach demonstrated that the optimal water content is similar for both flour (Soy: 59%, Rye: 60%), but the optimal duration of the thermomechanical treatment is quite different (Soy: 27 min, Rye: 22 min).

Industrial relevance text

Interest in 3D food printing has continued to grow in recent years. Products with different flavors, shapes and textures have been proposed in many studies. However, print quality is not always easy to predict and to obtain, especially when faced with nutritional or functional constraints. In our study, we developed a 3-steps approach (two screening steps including bibliographic and experimental method and then one optimization step) to propose new edible ink combining interesting nutritional composition and good print quality. To achieve this goal a design of experiments based on two process parameters (water content and duration of thermomechanical treatment) was conducted and a predictive model was established for soy and rye flours. The reverse-engineering method allowed determining the process parameters to use to ensure good print quality and stability of 3D-printed products. This approach could be applied for the development of new edible ink using other flours or integrating different ingredients.

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食品3D打印用不同面粉的筛选:大豆和黑麦面粉面团的热机械工艺优化
3D食品打印允许个性化食品的发展,但有必要使可打印的食谱多样化,以提出多样化的食品供应。该项目的目的是探索不同面粉的印刷潜力,并优化热机械过程(水和面粉的混合和加热),以确保良好的印刷质量。对25种面粉进行了文献研究,并对5种面粉进行了实验筛选。由于之前的步骤,选择大豆和黑麦面粉是因为它们有趣的营养价值和印刷潜力。每种面粉的实验设计(10次试验)表明,所研究的工艺参数(含水量百分比和热处理时间)对打印质量有显著影响。逆向工程方法表明,两种面粉的最佳含水量相似(大豆:59%,黑麦:60%),但最佳热处理时间有很大差异(大豆:27分钟,黑麦:22分钟)。近年来,人们对3D食品打印的兴趣持续增长。许多研究都提出了不同口味、形状和质地的产品。然而,打印质量并不总是容易预测和获得,特别是当面临营养或功能限制时。在我们的研究中,我们制定了三步法(包括文献和实验方法的两个筛选步骤,然后是一个优化步骤)来提出营养成分有趣且印刷质量良好的新型食用油墨。为实现这一目标,进行了基于两个工艺参数(水分和热处理时间)的试验设计,并建立了大豆和黑麦面粉的预测模型。逆向工程方法允许确定工艺参数,以确保3d打印产品的良好打印质量和稳定性。这种方法可以应用于使用其他面粉或混合不同成分的新型食用油墨的开发。
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来源期刊
CiteScore
12.00
自引率
6.10%
发文量
259
审稿时长
25 days
期刊介绍: Innovative Food Science and Emerging Technologies (IFSET) aims to provide the highest quality original contributions and few, mainly upon invitation, reviews on and highly innovative developments in food science and emerging food process technologies. The significance of the results either for the science community or for industrial R&D groups must be specified. Papers submitted must be of highest scientific quality and only those advancing current scientific knowledge and understanding or with technical relevance will be considered.
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