Microwave-Assisted Extraction of Phenolic Compounds from Spent Coffee Grounds. Process Optimization Applying Design of Experiments
| Autor: | José Coelho, Roumiana P. Stateva, Stanislava Boyadzhieva, Maria Paula Robalo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
total polyphenols content
Central composite design DPPH Pharmaceutical Science Coffea Article Analytical Chemistry microwave extraction green technology spent coffee grounds design of experiments chemistry.chemical_compound QD241-441 Phenols Drug Discovery Process optimization Physical and Theoretical Chemistry Microwaves Chromatography Plant Extracts Organic Chemistry Extraction (chemistry) Fractional factorial design Solvent chemistry Chemistry (miscellaneous) Polyphenol Yield (chemistry) Seeds Solvents Molecular Medicine spent coffee grounds design of experiments |
| Zdroj: | Molecules Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP Molecules, Vol 26, Iss 7320, p 7320 (2021) Molecules; Volume 26; Issue 23; Pages: 7320 |
| Popis: | In this study, sustainable technology microwave-assisted extraction (MAE) in association with green solvents was applied to recover phenolic compounds from spent coffee grounds (SCGs). A design of experiments (DOE) was used for process optimization. Initially, a 24-1 two level Fractional Factorial Design was used and ratios “solvent to solute” and “ethanol to water” were identified as the significant experimental factors. Consequently, Central Composite Design (CCD) was applied to analyze the effects of the significant variables on the response yield, total polyphenols content (TPC), and antioxidant activity (AA) by the DPPH assay method, and quadratic surfaces to optimize those responses were generated. The values of the significant factors of 16.7 (solvent/solute) and 68.9% (ethanol/water) were optimized simultaneously the yield (%) at 6.98+- 0.27, TPC (mg GAE/g) at 117.7+- 6.1, and AA (mol TE/g) at 143.8+- 8.6 and were in excellent agreement with those predicted from the CCD model. The variations of the compositions of the lipids, caffeine, pentacyclic diterpenes, and FAME as a function of the dominant factor % ethanol in the solvent mixture were analyzed by applying NMR and GC-FID, and the results obtained confirmed their determinative significance. |
| Databáze: | OpenAIRE |
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