{"title":"Digital Twin Methodology in Food Processing: Basic Concepts and Applications.","authors":"Emmanuel Purlis","doi":"10.1007/s13668-024-00584-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>The goal of this article is to present a concise review about digital twin (DT) methodology and its application in food processing. We aim to identify the building blocks, current state and bottlenecks, and to discuss future developments of this approach.</p><p><strong>Recent findings: </strong>DT methodology appears as a powerful approach for digital transformation of food production, via integration of modelling and simulation tools, sensors, actuators and communication platforms. This methodology allows developing virtual environments for real-time monitoring and controlling of processes, as well as providing actionable metrics for decision-making, which are not possible to obtain by physical sensors. So far, main applications were focused on refrigerated transport and storage of fresh produces, and thermal processes like cooking and drying. DT methodology can provide useful solutions to food industry towards productivity and sustainability, but requires of multidisciplinary efforts. Wide and effective implementation of this approach will largely depend on developing high-fidelity digital models with real-time simulation capability.</p>","PeriodicalId":10844,"journal":{"name":"Current Nutrition Reports","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Nutrition Reports","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s13668-024-00584-2","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose of review: The goal of this article is to present a concise review about digital twin (DT) methodology and its application in food processing. We aim to identify the building blocks, current state and bottlenecks, and to discuss future developments of this approach.
Recent findings: DT methodology appears as a powerful approach for digital transformation of food production, via integration of modelling and simulation tools, sensors, actuators and communication platforms. This methodology allows developing virtual environments for real-time monitoring and controlling of processes, as well as providing actionable metrics for decision-making, which are not possible to obtain by physical sensors. So far, main applications were focused on refrigerated transport and storage of fresh produces, and thermal processes like cooking and drying. DT methodology can provide useful solutions to food industry towards productivity and sustainability, but requires of multidisciplinary efforts. Wide and effective implementation of this approach will largely depend on developing high-fidelity digital models with real-time simulation capability.
期刊介绍:
This journal aims to provide comprehensive review articles that emphasize significant developments in nutrition research emerging in recent publications. By presenting clear, insightful, balanced contributions by international experts, the journal intends to discuss the influence of nutrition on major health conditions such as diabetes, cardiovascular disease, cancer, and obesity, as well as the impact of nutrition on genetics, metabolic function, and public health. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas across the field. Section Editors select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. We also provide commentaries from well-known figures in the field, and an Editorial Board of more than 25 internationally diverse members reviews the annual table of contents, suggests topics of special importance to their country/region, and ensures that topics and current and include emerging research.