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堆肥和咖啡渣作为类腐殖质物质来源的潜力:通过析因设计进行提取建模与优化

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

作者信息

Nieweś Dominik, Marecka Kinga

机构信息

Department of Engineering and Technology of Chemical Processes, Faculty of Chemistry, Wroclaw University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wroclaw, Poland.

出版信息

ACS Omega. 2025 Apr 11;10(15):15762-15774. doi: 10.1021/acsomega.5c01766. eCollection 2025 Apr 22.

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 C 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.

摘要

腐殖质(HSs)在土壤健康中起着至关重要的作用,并且在农业之外还有潜在应用。本研究评估了城市绿化废弃物(GWC)堆肥和咖啡渣(SCG)等可再生原料作为类腐殖质(HLSs)的来源,它们可能是泥炭、褐煤和风化煤等传统资源的替代品。定量分析聚焦于模拟和优化超声辅助提取类腐殖酸(HLAs)的效率,该效率是时间、超声强度、萃取剂浓度(氢氧化钠)和温度的函数。根据分数析因设计(FFD)基于实验矩阵确定实验点,并使用Fisher检验、拟合不足评估和决定系数对所得多项式模型进行评估。用评估参数的最佳值进行实验验证表明,分别从GWC和SCG中提取HLA的可能性为27.08%和19.11%。定性分析包括类腐殖酸和类富里酸及其与参考样品的比较。本研究的这一部分使用了光谱方法(紫外可见光谱、衰减全反射傅里叶变换红外光谱、交叉极化/魔角旋转核磁共振和碳核磁共振)以及元素分析(CHNSO)。所得结果表明,产品分子结构中存在腐殖质特有的官能团(多糖、酚类、醇类和酰胺)。此外,与商业样品相比,它们的氮和硫含量更高,疏水性更低,这可能表明它们具有生物活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0aa/12019513/db0b2c57bbc4/ao5c01766_0001.jpg

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