Sarha Lucia Murillo-Franco, Henrique Maziero Fogarin, Matheus Costa Monteiro dos Santos, Annamaria Acampora, Lucia Acampora, Antonella Petrillo, Kelly Johana Dussán
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引用次数: 0
Abstract
Spent coffee grounds (SCGs) are an abundant source of organic waste with significant potential for valorization, including dietary fiber extraction. The objective of this study was to evaluate and optimize the environmental performance of producing dietary fiber from SCGs using diluted acid hydrolysis, emphasizing the influence of key process variables on environmental impacts. In this sense, a life cycle assessment (LCA) was conducted according to ISO 14040 guidelines using a gate-to-gate approach with inventories based on material and energy balances derived from Aspen Plus V.12 from experimental results. A two-factor interaction (2FI) statistical model was used to identify significant process variables during the hydrolysis stage and was optimized using a genetic algorithm (GA). The results revealed that the fiber purification and solvent recovery stages had the highest environmental impact across all evaluated scenarios. Climate Change (CC) associated with producing dietary fiber from SCGs was comparable to emissions from alternative valorization routes studied in the literature. Furthermore, human toxicity (HT) impacts were equivalent to or lower than those of dietary fibers derived from other agro-industrial residues. Terrestrial Acidification (TA) impacts were not significantly affected by acid concentration. The 2FI model identified the solid:liquid ratio as the critical factor affecting environmental outcomes. Optimization showed that the best environmental performance is achieved at high temperatures and low solid-to-liquid ratios. This study demonstrated that combining the life cycle assessment method, statistical modeling, and artificial intelligence is an effective strategy for optimizing SCG valorization in fiber production in environmental terms.
废咖啡渣(scg)是一种丰富的有机废物来源,具有巨大的增值潜力,包括膳食纤维的提取。本研究的目的是评价和优化稀酸水解scg生产膳食纤维的环境性能,强调关键工艺变量对环境影响的影响。从这个意义上说,生命周期评估(LCA)是根据ISO 14040指南进行的,使用门到门的方法,基于材料和能量平衡的清单,从Aspen Plus V.12的实验结果中得出。采用双因子相互作用(2FI)统计模型识别水解阶段的重要过程变量,并使用遗传算法(GA)进行优化。结果表明,在所有评估方案中,纤维净化和溶剂回收阶段对环境的影响最大。与从scg中生产膳食纤维相关的气候变化(CC)与文献中研究的其他增殖途径的排放相当。此外,人体毒性(HT)的影响相当于或低于来自其他农工残留物的膳食纤维的影响。酸浓度对陆地酸化(TA)影响不显著。2FI模型将固液比确定为影响环境结果的关键因素。优化结果表明,在高温和低固液比条件下具有最佳的环保性能。该研究表明,结合生命周期评估方法、统计建模和人工智能是一种有效的策略,可以从环境角度优化纤维生产中SCG的价值。