An integrative framework for eco-efficiency assessment in plant-protein extraction processes: Hotspot analysis, protein loss tracking, and uncertainty analysis

Over the past few years, the growing demand for plant-based proteins has intensified the need to scale up extraction technologies, for efficient and sustainable protein production. Towards the adoption of existing methods, modified extraction methods as well as emerging technologies, there is the need to assess and ascertain the overall sustainability performance of the methods, integrating economic, product quality and environmental perspectives. However, a comprehensive assessment framework that integrates these three (3) sustinability dimensions, for the plant-protein industry, remains lacking. This study proposes a novel eco-efficiency assessment framework tailored to evaluate sustainability of plant-protein extraction methods, with a focus on industrial commercialization potential. The framework integrates eco-efficiency analysis, hotspot identification of economic value, protein loss tracking, protein purity, environmental impacts, and uncertainty and global sensitivity analyses to highlight key production variables that influences sustainability outcomes. The framework was applied to a case study of pea protein extraction by the alkaline-isoelectric precipitation (ALK-IEP) method with multiple trials using different yellow pea varieties. Results highlighted the major contribution of the spray drying, pasteurization and extraction-decantation sections to eco-environmental outcomes and protein content loss. The findings offer insights for optimizing the extraction process and improving eco-efficiency, contributing to more sustainable, scalable commercial pea protein production. • A novel holistic eco-efficiency assessment framework is proposed for evaluating plant-protein extraction methods. • The framework incorporates hotspot and global sensitivity analyses to reveal key variables that impact techno-eco-environmental performance. • The framework is applied to a case study on pea protein extraction by the wet fractionation method. • The findings provide valuable insights for improving eco-efficiency, and supporting the sustainable commercialization of pea protein production.

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Publication Details

Journal
Journal of Cleaner Production
Published
2025-09-27
DOI
https://doi.org/10.1016/j.jclepro.2025.146684
Citations
3
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
6.68
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article

An integrative framework for eco-efficiency assessment in plant-protein extraction processes: Hotspot analysis, protein loss tracking, and uncertainty analysis

Ebenezer Miezah Kwofie, Praiya Asavajaru, Anusha Samaranayaka, Derrick Kpakpo Allotey
3 citations
Journal of Cleaner Production
Sustainable Supply Chain Management
6.68
article

An integrative framework for eco-efficiency assessment in plant-protein extraction processes: Hotspot analysis, protein loss tracking, and uncertainty analysis

Ebenezer Miezah Kwofie, Praiya Asavajaru, Anusha Samaranayaka, Derrick Kpakpo Allotey
article en
3 citations

Abstract

Over the past few years, the growing demand for plant-based proteins has intensified the need to scale up extraction technologies, for efficient and sustainable protein production. Towards the adoption of existing methods, modified extraction methods as well as emerging technologies, there is the need to assess and ascertain the overall sustainability performance of the methods, integrating economic, product quality and environmental perspectives. However, a comprehensive assessment framework that integrates these three (3) sustinability dimensions, for the plant-protein industry, remains lacking. This study proposes a novel eco-efficiency assessment framework tailored to evaluate sustainability of plant-protein extraction methods, with a focus on industrial commercialization potential. The framework integrates eco-efficiency analysis, hotspot identification of economic value, protein loss tracking, protein purity, environmental impacts, and uncertainty and global sensitivity analyses to highlight key production variables that influences sustainability outcomes. The framework was applied to a case study of pea protein extraction by the alkaline-isoelectric precipitation (ALK-IEP) method with multiple trials using different yellow pea varieties. Results highlighted the major contribution of the spray drying, pasteurization and extraction-decantation sections to eco-environmental outcomes and protein content loss. The findings offer insights for optimizing the extraction process and improving eco-efficiency, contributing to more sustainable, scalable commercial pea protein production. • A novel holistic eco-efficiency assessment framework is proposed for evaluating plant-protein extraction methods. • The framework incorporates hotspot and global sensitivity analyses to reveal key variables that impact techno-eco-environmental performance. • The framework is applied to a case study on pea protein extraction by the wet fractionation method. • The findings provide valuable insights for improving eco-efficiency, and supporting the sustainable commercialization of pea protein production.

Journal of Cleaner ProductionVol. 527
Plant Biotechnology Institute (CA), McGill University (CA)
Openalex Percentile: Top 4%
Sustainable Supply Chain Management
6.68
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