Extraction of Valuable Chemicals from Food Waste via Computational Solvent Screening and Experiments
Extraction of Valuable Chemicals from Food Waste via Computational Solvent Screening and Experiments
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DOI:
10.1016/j.seppur.2023.123719
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发表时间:
2023-03
影响因子:
8.6
通讯作者:
Yagya Gupta;S. Bhattacharyya;D. Vlachos
中科院分区:
文献类型:
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作者:
Yagya Gupta;S. Bhattacharyya;D. Vlachos
About 1.3 billion tons of global food production end up in landfills and composting, leading to significant anthropogenic greenhouse gas (GHG) emissions. Extracting antioxidant and antimicrobial chemicals (flavonoids, phenolic acids, etc.) from food waste is an economically lucrative valorization strategy but is hindered by efficient solvent selection. Here we perform in silico high throughput screening to identify high solubility solvents for key phenolics and reveal >100+ higher-performing solvents than the traditional ethanol and methanol. Solubilities of nine shortlisted solvents are measured and found in reasonable agreement with model predictions. Analysis of the Conductor like Screening Model for Real Solvents (COSMO-RS) σ-profiles and Hansen Solubility Parameters reveals that polarity and hydrogen bonding make dimethylformamide (DMF) an excellent single solvent. We showcase the replacement of high-solubility toxic solvents with green mixtures and demonstrate the approach to potato peel waste. Our work provides a blueprint for solvent selection and generates new insights into extraction from food waste.