Promising perspectives on novel protein food sources combining artificial intelligence and 3D food printing for food industry

食品工业 新奇的食物 美食学 生物技术 食品技术 生化工程 计算机科学 食品科学 工程类 生物 地理 旅游 考古
作者
Manuela Gallón-Bedoya,Daniel Restrepo-Montoya,Gipsy Tabilo‐Munizaga,Mario Pérez‐Won,Roberto Lemus‐Mondaca
出处
期刊:Trends in Food Science and Technology [Elsevier]
卷期号:128: 38-52 被引量:96
标识
DOI:10.1016/j.tifs.2022.05.013
摘要

Novel food matrices with high protein content and biological value, good amino acid profile, and functionality based on algae, insects, plants, fungi, and microbial proteins have been explored. 3D food printing (3D-FP) is one of the promising development techniques used in the food industry. This technology has evolved, and different food-related innovations have been applied such as gastronomy, personalized nutrition, new ingredients, and novel sensory characteristics. Likewise, artificial intelligence (AI) methods have also been used to predict food processing and preservation conditions and quality and physicochemical properties. This review studies the new technological trends based on AI and 3D-FP applied to the food industry/markets focusing on the search for novel protein sources, and further development of food products with high protein content. This review aims to provide an overview of promising research developments in current and novel protein food industry applications combining AI and 3D-FP technologies. The review describes the different protein-based alternatives to those of animal origin were explored that have functional properties and are a good source of essential amino acids. Also, this review shows the AI and 3D-FP technologies and how to combine them using diverse equipment and methodologies along with different protein food sources. 3D printing can be used in conjunction with AI for process optimization, formulation of pastes to be printed, post-printing processes, and automation, among others. Both technologies enable the development of personalized foods with high nutritional value and high potential application in the food industry.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
flyy发布了新的文献求助10
刚刚
qq给qq的求助进行了留言
1秒前
张小完成签到,获得积分10
1秒前
左语发布了新的文献求助10
1秒前
TeeteePor完成签到,获得积分10
2秒前
3秒前
3秒前
陈陈陈完成签到,获得积分10
4秒前
王雅茜完成签到,获得积分20
4秒前
5秒前
5秒前
薖上发布了新的文献求助10
8秒前
科研通AI6应助michael采纳,获得10
8秒前
deng20065完成签到,获得积分10
9秒前
Yolo发布了新的文献求助10
9秒前
10秒前
Sherlock完成签到,获得积分10
11秒前
weitzenbock完成签到,获得积分20
12秒前
linlin完成签到,获得积分10
12秒前
14秒前
23完成签到,获得积分10
14秒前
14秒前
egg完成签到,获得积分10
14秒前
左语完成签到,获得积分10
16秒前
linlin发布了新的文献求助10
17秒前
18秒前
VDC应助枝江小学生采纳,获得30
18秒前
19秒前
Di喵喵发布了新的文献求助10
19秒前
HU完成签到 ,获得积分10
20秒前
朴实涵菡发布了新的文献求助10
20秒前
20秒前
量子星尘发布了新的文献求助10
20秒前
O哈哈发布了新的文献求助10
21秒前
21秒前
上官若男应助辛勤的诗柳采纳,获得30
22秒前
22秒前
23秒前
沉沉发布了新的文献求助50
24秒前
健壮的冰岚完成签到,获得积分10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1601
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 800
Biology of the Reptilia. Volume 21. Morphology I. The Skull and Appendicular Locomotor Apparatus of Lepidosauria 620
Laryngeal Mask Anesthesia: Principles and Practice. 2nd ed 500
Improving Teacher Morale and Motivation 500
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5556521
求助须知:如何正确求助?哪些是违规求助? 4641057
关于积分的说明 14664345
捐赠科研通 4583125
什么是DOI,文献DOI怎么找? 2513951
邀请新用户注册赠送积分活动 1488386
关于科研通互助平台的介绍 1459097