ReviewEnvironmental science and pollution research international2020
Utilization of green organic solvents in solvent extraction and liquid membrane for sustainable wastewater treatment and resource recovery-a review.
Review in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed.
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- Deep Eutectic Solvent-Assisted Synergistic Technologies for the Extraction of Natural Bioactive Compounds: Enhancement Mechanisms, Application Advances, and Challenges.Foods (Basel, Switzerland) · 2026Review
- Advantages and drawbacks of life cycle assessment application to the pharmaceuticals: a short critical literature review.Environmental science and pollution research international · 2026Review
- Impact of Additives on Poly(acrylonitrile-butadiene-styrene) Membrane Formation Process Using Non-Solvent-Induced Phase Separation.Membranes · 2025Article
- Spontaneous Bio-Recycling: Recovering Bioactive Molecules Through Endogenous Microbial Maceration of Hemp Residues.Microorganisms · 2025Article
- Sample Preparation Approaches for Determination of Quinolones in Aqueous Matrixes: Systematic Review.ACS measurement science au · 2025Review
- Synthesis and Application of LTA Zeolite for the Removal of Inorganic and Organic Hazardous Substances from Water: A Review.Molecules (Basel, Switzerland) · 2025Review
- Article
- Recent Progress on Green New Phase Extraction and Preparation of Polyphenols in Edible Oil.Molecules (Basel, Switzerland) · 2023Review
- Comparison of Vibrational Spectroscopic Techniques for Quantification of Water in Natural Deep Eutectic Solvents.Molecules (Basel, Switzerland) · 2022Article
- Article
- Biomass Valorization Using Natural Deep Eutectic Solvents: What's New in France?Molecules (Basel, Switzerland) · 2021Review
- Review
- In Situ Water Quantification in Natural Deep Eutectic Solvents Using Portable Raman Spectroscopy.Molecules (Basel, Switzerland) · 2021Article
- Insights into the relationships between physicochemical properties, solvent performance, and applications of deep eutectic solvents.Environmental science and pollution research international · 2021Review
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Water pollution and depletion of natural resources have motivated the utilization of green organic solvents in solvent extraction (SX) and liquid membrane (LM) for sustainable wastewater treatment and resource recovery. SX is an old and established separation method, while LM, which combines both the solute removal and recovery processes of SX in a single unit, is a revolutionary separation technology. The organic solvents used for solute removal in SX and LM can be categorized into sole conventional, mixed conventional-green, and sole green organic solvents, whereas the stripping agents used for solute recovery include acids, bases, metal salts, and water. This review revealed that the performance of greener organic solvents (mixed conventional-green and sole green organic solvents) was on par with the sole conventional organic solvents. However, some green organic solvents may threaten food security, while others could be pricey. The distinctive extraction theories of various sole green organic solvents (free fatty acid-rich oils, triglyceride-rich oils, and deep eutectic solvents) affect their application suitability for a specific type of wastewater. Organic liquid wastes are among the optimal green organic solvents for SX and LM in consideration of their triple environmental, economic, and performance benefits.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.