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Azeotropes as Powerful Tool for Waste Minimization in Industry and Chemical Processes

Aiming for more sustainable chemical production requires an urgent shift towards synthetic approaches designed for waste minimization. In this context the use of azeotropes can be an effective tool for “recycling” and minimizing the large volumes of solvents, especially in aqueous mixtures, used. This review discusses the implementation of different kinds of azeotropic mixtures in relation to the environmental and economic benefits linked to their recovery and re-use. Examples of the use of azeotropes playing a role in the process performance and in the purification steps maximizing yields while minimizing waste. Where possible, the advantages reported have been highlighted by using E-factor calculations. Lastly azeotrope potentiality in waste valorization to afford value-added materials is given.
- University of Perugia Italy
Chemical Phenomena, Organic chemistry, Industrial Waste, Review, Waste Disposal, Fluid, QD241-441, azeotropic distillation, Waste Management, Industry, Recycling, Biomass, United States Environmental Protection Agency, solvent recovery, process design, Green Chemistry Technology, waste minimization, Carbon, United States, waste valorization, Chemistry, azeotrope, Solvents
Chemical Phenomena, Organic chemistry, Industrial Waste, Review, Waste Disposal, Fluid, QD241-441, azeotropic distillation, Waste Management, Industry, Recycling, Biomass, United States Environmental Protection Agency, solvent recovery, process design, Green Chemistry Technology, waste minimization, Carbon, United States, waste valorization, Chemistry, azeotrope, Solvents
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).21 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
