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Peer-reviewedCC BY-NC-NDApplied Food Research

Extraction of plant protein using the green procedures: Functional development toward Sustainable Development Goals (SDGs)

  • Izza Faiz ul Rasool1
  • Hyrije Koraqi2
  • Muhammad Zeeshan Adil3
  • Afifa Aziz3
  • Hadia Sehar3
  • P.K.R. Kumar4,5
  • Afsheen Ghazala6
  • Andrés Moreno7
  • Waseem Khalid7,5
  • Tuba Esatbeyoglu5
7 affiliations
  1. 1Department of Food Science, Government College University Faisalabad, Pakistan
  2. 2Faculty of Food Science and Biotechnology, UBT- University for Business and Technology, Pristina-Kosovo
  3. 3School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China
  4. 4Department of Chemical Engineering, Indian Institute of Technology, Tirupati 517619, India
  5. 5Department of Molecular Food Chemistry and Food Development, Institute of Food and One Health, Gottfried Wilhelm Leibniz University Hannover, Am Kleinen Felde 30, 30167, Hannover, Germany
  6. 6Institute of Food Science and Nutrition, University of Sargodha, Sargodha
  7. 7Department of Inorganic, Organic and Biochemistry, Faculty of Chemical Sciences and Technologies, University of Castilla La Mancha, Ciudad Real 13071, Spain
Open at sourceDOICite

Abstract

• Plant-based protein is considered healthy for human well-being • The green procedure can enhance the extraction yield of protein • Green solvents can produce high yields with an eco-friendly environment • Artificial intelligence and machine learning can advance the green extraction procedure • Protein extraction by the green procedure can promote the circular economy to achieve sustainable development goals Plant-based proteins as alternatives for traditional animal-derived sources have increased due to the rising need for wholesome, sustainable, and environmentally friendly food ingredients. However, more environmentally friendly, data-driven methods are needed to effectively extract, improve the functionality, and use plant proteins on a big scale. By enabling accurate prediction of extraction yields, process behaviour, and energy consumption, artificial intelligence (AI) and machine learning (ML) are becoming potent tools for optimizing green extraction technologies such as membrane filtration, enzymatic treatment, ultrasound-assisted extraction, and natural deep eutectic solvents. These green technologies aid in the development of eco-friendly processes that minimize the use of solvents, shorten processing times, and improve the techno-functional characteristics of proteins. Artificial intelligence drives the advancement of plant-based foods at the industrial scale by enhancing nutritional value, optimizing texture and sensory quality, and improving process monitoring, scalability, and product consistency. Health benefits of plant proteins are better digestibility, fewer allergies, and the supply of bioactive chemicals that help prevent disease. There are still challenges with data accessibility, model generalization, and integrating AI-driven green technologies with various plant matrices. Future perspectives center on creating circular bioeconomy frameworks that are in line with the Sustainable Development Goals (SDGs) and energy-efficient processing technologies.

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Cite

BibTeXRIS
BibTeX
@article{rasool2026extraction,
  title = {{Extraction of plant protein using the green procedures: Functional development toward Sustainable Development Goals (SDGs)}},
  author = {Izza Faiz ul Rasool and Hyrije Koraqi and Muhammad Zeeshan Adil and Afifa Aziz and Hadia Sehar and P.K.R. Kumar and Afsheen Ghazala and Andrés Moreno and Waseem Khalid and Tuba Esatbeyoglu},
  journal = {Applied Food Research},
  year = {2026},
  month = may,
  doi = {10.1016/j.afres.2026.102131},
  url = {https://doi.org/10.1016/j.afres.2026.102131},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Extraction of plant protein using the green procedures: Functional development toward Sustainable Development Goals (SDGs)
AU  - Izza Faiz ul Rasool
AU  - Hyrije Koraqi
AU  - Muhammad Zeeshan Adil
AU  - Afifa Aziz
AU  - Hadia Sehar
AU  - P.K.R. Kumar
AU  - Afsheen Ghazala
AU  - Andrés Moreno
AU  - Waseem Khalid
AU  - Tuba Esatbeyoglu
PY  - 2026
DA  - 2026/05/14
JO  - Applied Food Research
DO  - 10.1016/j.afres.2026.102131
UR  - https://doi.org/10.1016/j.afres.2026.102131
AB  - • Plant-based protein is considered healthy for human well-being • The green procedure can enhance the extraction yield of protein • Green solvents can produce high yields with an eco-friendly environment • Artificial intelligence and machine learning can advance the green extraction procedure • Protein extraction by the green procedure can promote the circular economy to achieve sustainable development goals Plant-based proteins as alternatives for traditional animal-derived sources have increased due to the rising need for wholesome, sustainable, and environmentally friendly food ingredients. However, more environmentally friendly, data-driven methods are needed to effectively extract, improve the functionality, and use plant proteins on a big scale. By enabling accurate prediction of extraction yields, process behaviour, and energy consumption, artificial intelligence (AI) and machine learning (ML) are becoming potent tools for optimizing green extraction technologies such as membrane filtration, enzymatic treatment, ultrasound-assisted extraction, and natural deep eutectic solvents. These green technologies aid in the development of eco-friendly processes that minimize the use of solvents, shorten processing times, and improve the techno-functional characteristics of proteins. Artificial intelligence drives the advancement of plant-based foods at the industrial scale by enhancing nutritional value, optimizing texture and sensory quality, and improving process monitoring, scalability, and product consistency. Health benefits of plant proteins are better digestibility, fewer allergies, and the supply of bioactive chemicals that help prevent disease. There are still challenges with data accessibility, model generalization, and integrating AI-driven green technologies with various plant matrices. Future perspectives center on creating circular bioeconomy frameworks that are in line with the Sustainable Development Goals (SDGs) and energy-efficient processing technologies.
SN  - 2772-5022
ER  -