Combining computer aided food engineering and electro-heating applications as contribution to food processing sustainability

Francesco Marra
{"title":"Combining computer aided food engineering and electro-heating applications as contribution to food processing sustainability","authors":"Francesco Marra","doi":"10.3389/frsus.2023.1170467","DOIUrl":null,"url":null,"abstract":"Can the combination of computer aided food engineering and electro-heating applications contribute to food processing sustainability? To what United Nations Sustainable Development Goal (SDG) this combination could contribute? Those are the questions addressed in this perspective. SDG7 is aimed to ensure the access to affordable, reliable, and sustainable and modern energy for all. According to World Bank, ensuring access to modern food cooking solutions is a key component to achieving for SDG7, and -since cooking is mainly based on heating processing- also the access to modern food heating solutions must be considered as a key component to achieving for SDG7. Electro-heating applications (EHA) in food processing include all processes using the interaction of a food material or product with an electromagnetic field, as in microwave, radio-frequency, and moderate electric fields processing. These technologies involve the use of electrical and -more recently- electronic circuits and require professional figures in their design. As result, the installation cost of these technologies is way higher than installation cost for heating processes using fossil sources, as fuel for fire boilers, as an example. Furthermore, at industrial level, these technologies may require ad-hoc design. Consequently, the food processing industry is quite slow in embracing such technologies along the productive lines. Computer aided food engineering (CAFE) has been recognized as valuable approach to shifts the paradigm from trial-and-error-based design to model-based design, using digital tools for the virtual representation of a food product or process, predicting the behavior of it. The combination of CAFE and EHA is the only way to help the food industry to embrace sustainability in most operations in which the heat transfer is involved. This paper presents a viewpoint on the challenges and opportunity to combine CAFE and EHAs as contribution to food processing sustainability.","PeriodicalId":253319,"journal":{"name":"Frontiers in Sustainability","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Sustainability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/frsus.2023.1170467","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Can the combination of computer aided food engineering and electro-heating applications contribute to food processing sustainability? To what United Nations Sustainable Development Goal (SDG) this combination could contribute? Those are the questions addressed in this perspective. SDG7 is aimed to ensure the access to affordable, reliable, and sustainable and modern energy for all. According to World Bank, ensuring access to modern food cooking solutions is a key component to achieving for SDG7, and -since cooking is mainly based on heating processing- also the access to modern food heating solutions must be considered as a key component to achieving for SDG7. Electro-heating applications (EHA) in food processing include all processes using the interaction of a food material or product with an electromagnetic field, as in microwave, radio-frequency, and moderate electric fields processing. These technologies involve the use of electrical and -more recently- electronic circuits and require professional figures in their design. As result, the installation cost of these technologies is way higher than installation cost for heating processes using fossil sources, as fuel for fire boilers, as an example. Furthermore, at industrial level, these technologies may require ad-hoc design. Consequently, the food processing industry is quite slow in embracing such technologies along the productive lines. Computer aided food engineering (CAFE) has been recognized as valuable approach to shifts the paradigm from trial-and-error-based design to model-based design, using digital tools for the virtual representation of a food product or process, predicting the behavior of it. The combination of CAFE and EHA is the only way to help the food industry to embrace sustainability in most operations in which the heat transfer is involved. This paper presents a viewpoint on the challenges and opportunity to combine CAFE and EHAs as contribution to food processing sustainability.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
将计算机辅助食品工程与电热应用相结合,为食品加工的可持续性做出贡献
计算机辅助食品工程和电热应用的结合是否有助于食品加工的可持续性?这种组合对联合国可持续发展目标(SDG)有何贡献?这些都是从这个角度来解决的问题。可持续发展七国集团旨在确保所有人都能获得负担得起的、可靠的、可持续的现代能源。据世界银行称,确保获得现代食品烹饪解决方案是实现可持续发展七国集团的关键组成部分,而且由于烹饪主要基于加热加工,因此必须将获得现代食品加热解决方案视为实现可持续发展七国集团的关键组成部分。食品加工中的电热应用(EHA)包括使用食品材料或产品与电磁场相互作用的所有过程,如微波,射频和中等电场加工。这些技术涉及到电气电路和最近的电子电路的使用,并且在其设计中需要专业人员。因此,这些技术的安装成本远远高于使用化石燃料作为锅炉燃料的加热过程的安装成本。此外,在工业层面,这些技术可能需要特别设计。因此,食品加工业在生产线上采用这些技术的速度相当缓慢。计算机辅助食品工程(CAFE)已被认为是一种有价值的方法,可以将基于试错的设计范式转变为基于模型的设计,使用数字工具对食品或过程进行虚拟表示,并预测其行为。CAFE和EHA的结合是帮助食品工业在涉及热传递的大多数操作中实现可持续性的唯一途径。本文提出了将CAFE和eha相结合以促进食品加工可持续性的挑战和机遇的观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.30
自引率
0.00%
发文量
0
期刊最新文献
Campus sustainability at Rhodes University, South Africa: perceptions, awareness level, and potential interventions PET and polyolefin plastics supply chains in Michigan: present and future systems analysis of environmental and socio-economic impacts COP28 and the global stocktake: a weak attempt to address climate change Strengthening resilience: decentralized decision-making and multi-criteria analysis in the energy-water-food nexus systems Tomato disease detection with lightweight recurrent and convolutional deep learning models for sustainable and smart agriculture
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1