Potential of Compost and Spent Coffee Grounds as Sources of Humic-Like Substances: Extraction Modeling and Optimization by Fractional Factorial Design

IF 3.7 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Dominik Nieweś*,  and , Kinga Marecka, 
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引用次数: 0

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 13C NMR) as well as elemental analysis (CHNSO) were used in this part of the study. The results obtained showed the presence of functional groups characteristic of humic substances (polysaccharides, phenols, alcohols, and amides) in the molecular structure of the products. Additionally, they exhibited a higher content of nitrogen and sulfur compared to commercial samples, as well as lower hydrophobicity, which may indicate their biological activity.

堆肥和废咖啡渣作为腐植酸样物质来源的潜力:提取模型和分数析因设计优化
腐殖质(HSs)在土壤健康中起着至关重要的作用,在农业以外具有潜在的应用前景。本研究评估了城市绿色废弃物(GWC)堆肥和废咖啡渣(SCG)等可再生原料作为腐殖质样物质(hss)的来源,这些物质可能是泥炭、褐煤和褐煤等传统资源的替代品。定量分析的重点是建立和优化超声辅助提取腐植酸(HLAs)效率随时间、超声强度、萃取剂浓度(NaOH)和温度的函数关系。根据分数析因设计(fractional factorial design, FFD)的实验矩阵确定实验点,并采用Fisher检验、缺乏拟合评估和决定系数对得到的多项式模型进行评价。对评价参数的最优值进行了实验验证,结果表明,从GWC和SCG中提取hla的可能性分别为27.08和19.11%。定性分析包括腐植酸样和黄腐酸样,并与参比样品进行比较。在这部分的研究中使用了光谱方法(UV-vis, ATR-FTIR, CP/MAS和13C NMR)以及元素分析(CHNSO)。结果表明,在产物的分子结构中存在腐殖质特征官能团(多糖、酚类、醇类和酰胺类)。此外,与商业样品相比,它们表现出更高的氮和硫含量,以及更低的疏水性,这可能表明它们的生物活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Omega
ACS Omega Chemical Engineering-General Chemical Engineering
CiteScore
6.60
自引率
4.90%
发文量
3945
审稿时长
2.4 months
期刊介绍: ACS Omega is an open-access global publication for scientific articles that describe new findings in chemistry and interfacing areas of science, without any perceived evaluation of immediate impact.
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