ArticleACS omega2025
Potential of Compost and Spent Coffee Grounds as Sources of Humic-Like Substances: Extraction Modeling and Optimization by Fractional Factorial Design.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Influence of Extraction Conditions on Organic Carbon Recovery from Biogas Digestate.ACS omega · 2026Article
- Ultrasound-assisted recovery of humic substances from municipal digestate using response surface methodology.Ultrasonics sonochemistry · 2026Article
- Isolation of Humic Substances Using Waste Wood Ash Extracts: Multiparametric Optimization via Box-Behnken Design and Chemical Characterization of Products.Molecules (Basel, Switzerland) · 2025Article
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Authors and funding
2 authors.
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Abstract
Humic substances (HSs) play a crucial role in soil health and have potential applications beyond agriculture. This study evaluates the renewable raw materials such as compost from urban green waste (GWC) and spent coffee grounds (SCG) as sources of humic-like substances (HLSs), which may be an alternative to traditional resources such as peat, lignite, and leonardite. The quantitative analysis focused on modeling and optimizing the efficiency of ultrasound-assisted extraction of humic-like acids (HLAs) as a function of time, ultrasound intensity, extractant concentration (NaOH), and temperature. Experimental points were determined based on the experimental matrix according to fractional factorial design (FFD), and the obtained polynomial models were evaluated using the Fisher test, lack of fit assessment, and determination coefficients. Experimental verification with optimal values of the evaluated parameters demonstrated the possibility of extracting HLAs from GWC and SCG at levels of 27.08 and 19.11%, respectively. The qualitative analysis included humic-like and fulvic-like acids and their comparison with reference samples. Spectroscopic methods (UV-vis, ATR-FTIR, CP/MAS, and
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