ArticleACS omega2022
Improved Sustainability in Wine Industry Byproducts: A Scale-up and Economical Feasibility Study for High-Value Compounds Extraction Using Modified SC-CO
Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Phytochemical Profiling and Toxicological Evaluation ofMolecules (Basel, Switzerland) · 2026Article
- Green and Scalable Manufacturing of Biodegradable Polymer Scaffolds: Solvent-Free Processing, Supercritical COPolymers · 2026Review
- Valorization of Olive Oil and Wine Industry Byproducts: Challenges and Opportunities in Sustainable Food Applications.Foods (Basel, Switzerland) · 2025Review
- Review
- From Waste to Wealth: Exploring the Bioactive Potential of Wine By-Products-A Review.Antioxidants (Basel, Switzerland) · 2024Review
- The Optimization of Operating Conditions in the Cross-Flow Microfiltration of Grape Marc Extract by Response Surface Methodology.Foods (Basel, Switzerland) · 2023Article
- Phytochemicals Recovery from Grape Pomace: Extraction Improvement and Chemometric Study.Foods (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of the present work was to optimize the operating conditions (P, T cosolvent %) and to study the scale-up and the feasibility of the supercritical fluid extraction (SFE) process for polyphenols from grape pomace, the main solid byproduct of the wine industry. Pilot-scale equipment (1 L extraction vessel) was used to study the scale-up prediction for extraction vessels of 50, 100, 500, and 1000 L capacity. The adopted scale-up criteria consisted of maintaining and keeping constant the solvent mass-to-feed mass ratio and the bed geometry dimension. The results indicated an excellent predictive level obtained by Sovová's model and success of the adopted scale-up criteria. At industrial scale, yields were close to 2.3 g
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Registered trials
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