Javier Mauricio Loaiza, Alberto Palma, Juan Carlos Garcia, Manuel Jesús Diaz, Ascensión Alfaro
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引用次数: 0
Abstract
This study presents a sequential biorefinery approach for the integrated valorization of spent coffee grounds (SCG) within a circular economy framework. The process comprises multiple operational units. Initially, SCG are pelletized for direct combustion, demonstrating promising energy potential. In the second unit, coffee oil is extracted via Soxhlet using hexane, isopropanol, and ethanol, and subsequently converted into biodiesel through transesterification, yielding a biofuel with a favorable fatty acid profile. The third unit involves ultrasound-assisted cold alkaline extraction (CAE) of the residual solid to selectively recover hemicelluloses with minimal degradation. Optimal CAE conditions (40 °C, 90 min, 100 g L−1 NaOH) enhanced hemicellulose yield while maintaining high calorific value (21.529 kJ kg−1), comparable to the raw material (21.560 kJ kg−1). The hemicellulose-rich liquor was subjected to acid hydrolysis for furfural production, with maximum yield (590.3 mg L−1) achieved under central experimental conditions (2% acid, 160 °C). The solid residue from hydrolysis underwent pyrolysis to produce biochar. Kinetic analysis of the pyrolysis process using the Flynn–Wall–Ozawa method on TGA data enabled determination of activation energy without assuming a specific reaction model. The results confirm the feasibility of integrating thermochemical and biochemical pathways for SCG valorization, supporting the development of sustainable biorefineries and contributing to renewable energy and chemical production within circular economy strategies.
本研究提出了一种在循环经济框架内对废咖啡渣(SCG)进行综合增值的顺序生物精炼方法。该过程包括多个操作单元。最初,SCG被制成颗粒直接燃烧,显示出有希望的能源潜力。在第二个单元中,咖啡油通过索氏法使用己烷、异丙醇和乙醇提取,随后通过酯交换反应转化为生物柴油,产生具有良好脂肪酸谱的生物燃料。第三个单元涉及超声辅助冷碱性提取(CAE)的残余固体选择性回收半纤维素与最小的降解。最佳CAE条件(40°C, 90 min, 100 g L - 1 NaOH)提高了半纤维素的产率,同时保持高热值(21.529 kJ kg - 1),与原料(21.560 kJ kg - 1)相当。富半纤维素液经酸水解制备糠醛,在中心实验条件下(2%酸,160℃)产率最高(590.3 mg L−1)。水解后的固体残渣经热解生成生物炭。利用Flynn-Wall-Ozawa方法对TGA数据进行热解过程动力学分析,无需假设特定的反应模型即可确定活化能。研究结果证实了将热化学和生化途径整合起来实现SCG增值的可行性,支持可持续生物精炼厂的发展,并为循环经济战略中的可再生能源和化学品生产做出贡献。