Advances in the Potential Application of 3D Food Printing to Enhance Elderly Nutritional Dietary Intake

Author:

Xie Yisha1,Liu Qingqing1,Zhang Wenwen1,Yang Feng1,Zhao Kangyu1,Dong Xiuping2,Prakash Sangeeta3,Yuan Yongjun1

Affiliation:

1. Chongqing Key Laboratory of Speciality Food Co-Built by Sichuan and Chongqing, School of Food and Bioengineering, Xihua University, Chengdu 610039, China

2. Academy of Food Interdisciplinary Science, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China

3. School of Agriculture and Food Sciences, University of Queensland, Brisbane 4072, Australia

Abstract

The contradiction between the growing demand from consumers for “nutrition & personalized” food and traditional industrialized food production has consistently been a problem in the elderly diet that researchers face and discuss. Three-dimensional (3D) food printing could potentially offer a solution to this problem. This article reviews the recent research on 3D food printing, mainly including the use of different sources of protein to improve the performance of food ink printing, high internal phase emulsion or oleogels as a fat replacement and nutrition delivery system, and functional active ingredients and the nutrition delivery system. In our opinion, 3D food printing is crucial for improving the appetite and dietary intake of the elderly. The critical obstacles of 3D-printed food for the elderly regarding energy supplements, nutrition balance, and even the customization of the recipe in a meal are discussed in this paper. By combining big data and artificial intelligence technology with 3D food printing, comprehensive, personalized, and customized geriatric foods, according to the individual traits of each elderly consumer, will be realized via food raw materials-appearance-processing methods. This article provides a theoretical basis and development direction for future 3D food printing for the elderly.

Funder

the Startup Fund for Talented Scholars

Publisher

MDPI AG

Subject

Plant Science,Health Professions (miscellaneous),Health (social science),Microbiology,Food Science

Reference101 articles.

1. United Nations (2022, November 06). World Population Prospects 2022. Available online: https://www.un.org/development/desa/pd/content/World-Population-Prospects-2022.

2. National Bureau of Statistics of China (2022, July 24). The Seventh National Population Census (No. 5), Available online: http://www.stats.gov.cn/tjsj/tjgb/rkpcgb/qgrkpcgb/202106/t20210628_1818824.html.

3. Application of freeze-thaw enzyme impregnation to produce softened root vegetable foods for elderly consumers;Eom;J. Text. Stud.,2018

4. Diagnosis and Management of Oropharyngeal Dysphagia Among Older Persons, State of the Art;Ortega;J. Am. Med. Dir. Assoc.,2017

5. Molitch-Hou, M. (2022, December 02). Food 3D Printing: 3D Printed Food for the Elderly Continues with Natural Machines. Available online: https://3dprint.com/268689/food-3d-printing-3d-printed-food-for-the-elderly-continues-with-natural-machines/.

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