Syahmeer How , Vincent Desaulniers Brousseau , Deepa Agarwal , William Kaye-Blake , Roman Buckow , Mike Weeks
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Addressing these issues requires not only advances in processing but also robust modelling frameworks able to support decision-making across technical, economic, environmental, and functional dimensions.</div></div><div><h3>Scope and approach</h3><div>This review examines recent advances in modelling approaches used to assess and optimise PBI production via dry, wet, hybrid, and oilseed fractionation pathways. It highlights the role of techno-economic assessment (TEA), life cycle assessment (LCA), exergy analysis, and computational modelling in evaluating process sustainability and feasibility. Emphasis is placed on process modelling for predicting mass and energy balances in unit operations, and on the integration of artificial intelligence (AI) and hybrid models for predicting ingredient functionality. The review also discusses emerging structured frameworks for integrated modelling, such as those linking TEA and LCA, with considerations of how they can be expanded to incorporate supply chain dynamics, product functionality, and socio-cultural constraints relevant to food systems.</div></div><div><h3>Key findings and conclusions</h3><div>The review advocates for the development of integrated modelling frameworks that extend beyond TEA–LCA to include functionality, supply chain, and context-specific factors. This multidisciplinary approach offers a pathway for integrating plant-based ingredients (PBI) into efficient, low-waste, and economically viable food production systems aligned with global sustainability goals.</div></div>","PeriodicalId":441,"journal":{"name":"Trends in Food Science & Technology","volume":"164 ","pages":"Article 105257"},"PeriodicalIF":15.4000,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrative modelling of fractionation, functionality, and environmental-economic trade-offs to support the transition to sustainable plant based ingredients\",\"authors\":\"Syahmeer How , Vincent Desaulniers Brousseau , Deepa Agarwal , William Kaye-Blake , Roman Buckow , Mike Weeks\",\"doi\":\"10.1016/j.tifs.2025.105257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Plant-based ingredients (PBI) have emerged as promising alternatives to animal-based ingredients in response to the rising global demand for sustainable food sources. However, current crop production systems face challenges related to resource inefficiency, by-product underutilisation, and significant environmental impact. Addressing these issues requires not only advances in processing but also robust modelling frameworks able to support decision-making across technical, economic, environmental, and functional dimensions.</div></div><div><h3>Scope and approach</h3><div>This review examines recent advances in modelling approaches used to assess and optimise PBI production via dry, wet, hybrid, and oilseed fractionation pathways. It highlights the role of techno-economic assessment (TEA), life cycle assessment (LCA), exergy analysis, and computational modelling in evaluating process sustainability and feasibility. Emphasis is placed on process modelling for predicting mass and energy balances in unit operations, and on the integration of artificial intelligence (AI) and hybrid models for predicting ingredient functionality. The review also discusses emerging structured frameworks for integrated modelling, such as those linking TEA and LCA, with considerations of how they can be expanded to incorporate supply chain dynamics, product functionality, and socio-cultural constraints relevant to food systems.</div></div><div><h3>Key findings and conclusions</h3><div>The review advocates for the development of integrated modelling frameworks that extend beyond TEA–LCA to include functionality, supply chain, and context-specific factors. This multidisciplinary approach offers a pathway for integrating plant-based ingredients (PBI) into efficient, low-waste, and economically viable food production systems aligned with global sustainability goals.</div></div>\",\"PeriodicalId\":441,\"journal\":{\"name\":\"Trends in Food Science & Technology\",\"volume\":\"164 \",\"pages\":\"Article 105257\"},\"PeriodicalIF\":15.4000,\"publicationDate\":\"2025-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trends in Food Science & Technology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0924224425003930\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Food Science & Technology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0924224425003930","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Integrative modelling of fractionation, functionality, and environmental-economic trade-offs to support the transition to sustainable plant based ingredients
Background
Plant-based ingredients (PBI) have emerged as promising alternatives to animal-based ingredients in response to the rising global demand for sustainable food sources. However, current crop production systems face challenges related to resource inefficiency, by-product underutilisation, and significant environmental impact. Addressing these issues requires not only advances in processing but also robust modelling frameworks able to support decision-making across technical, economic, environmental, and functional dimensions.
Scope and approach
This review examines recent advances in modelling approaches used to assess and optimise PBI production via dry, wet, hybrid, and oilseed fractionation pathways. It highlights the role of techno-economic assessment (TEA), life cycle assessment (LCA), exergy analysis, and computational modelling in evaluating process sustainability and feasibility. Emphasis is placed on process modelling for predicting mass and energy balances in unit operations, and on the integration of artificial intelligence (AI) and hybrid models for predicting ingredient functionality. The review also discusses emerging structured frameworks for integrated modelling, such as those linking TEA and LCA, with considerations of how they can be expanded to incorporate supply chain dynamics, product functionality, and socio-cultural constraints relevant to food systems.
Key findings and conclusions
The review advocates for the development of integrated modelling frameworks that extend beyond TEA–LCA to include functionality, supply chain, and context-specific factors. This multidisciplinary approach offers a pathway for integrating plant-based ingredients (PBI) into efficient, low-waste, and economically viable food production systems aligned with global sustainability goals.
期刊介绍:
Trends in Food Science & Technology is a prestigious international journal that specializes in peer-reviewed articles covering the latest advancements in technology, food science, and human nutrition. It serves as a bridge between specialized primary journals and general trade magazines, providing readable and scientifically rigorous reviews and commentaries on current research developments and their potential applications in the food industry.
Unlike traditional journals, Trends in Food Science & Technology does not publish original research papers. Instead, it focuses on critical and comprehensive reviews to offer valuable insights for professionals in the field. By bringing together cutting-edge research and industry applications, this journal plays a vital role in disseminating knowledge and facilitating advancements in the food science and technology sector.