INDIVIDUAL AND INTERACTIVE EFFECTS OF PEROXIDE PRETREATMENT VARIBLES ON SACCHARIFICATION AND ETHANOL YIELD IN BAGASSE

Rama Mohan Poludasu
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Abstract

The current experiment aimed to find the ideal pretreatment process parameters for maximize the yields of cellulose, fermentable simple sugars, and ethanol from bagasse that had successfully treated with hydrogen peroxide (H2O2). The pretreatment process variables like substrate concentration, H2O2 concentration, pretreatment time, and temperature were studied individually and in combination to see how they affected the response variables like cellulose, hemicellulose, and lignin content in the pretreated pulp. This was done using the response surface methodology (RSM). The best pretreatment conditions for sugar cane bagasse were found through experiments using a factorial central composite design (CCD). The highest cellulose and hemicellulose yields, which were determined by RSM to be 69.3% and 76.4%, respectively, with a lesser lignin yield (4.8%), were achieved at a substrate concentration of 2%, an H2O2 loading of 20%, a temperature of 120 oC, and a pretreatment duration of 120 min. The experimental actual and predicted outcomes were well correlated, demonstrating that the model may be applied to effectively pretreat lignocellulosic biomass. The model has been validated when there is no difference between experimental actual values and anticipated values. The modifications in the chemical structure of bagasse during pretreatment was analyzed using FTIR. Comparatively, samples processed with H2O2 had a higher crystallinity (CI = 23.63%) than untreated bagasse (CI = 15.84%). The loss of lignin, which contributed the greatest CrI, increased the proportion of cellulose in treated bagasse compared to untreated bagasse. The bagasse that had a H2O2 concentration pretreatment showed the highest reducing sugar yield (58.7 mg/g). Pretreated bagasse had a higher ethanol output (73.88 g/L) than untreated bagasse (45.49 g/L).
过氧化氢预处理变量对甘蔗渣糖化和乙醇产量的个体和交互影响
本实验旨在寻找理想的预处理工艺参数,以最大限度地提高过氧化氢(H2O2)处理成功的甘蔗渣中纤维素、可发酵单糖和乙醇的产量。研究了底物浓度、H2O2浓度、预处理时间、预处理温度等预处理工艺变量对预处理浆中纤维素、半纤维素、木质素含量等响应变量的影响。这是用响应面法(RSM)完成的。采用因子中心组合设计(CCD)对甘蔗渣进行了预处理,确定了甘蔗渣的最佳预处理条件。当底物浓度为2%、H2O2负荷为20%、温度为120℃、预处理时间为120 min时,RSM测定的纤维素和半纤维素产率最高,分别为69.3%和76.4%,木质素产率较低(4.8%)。实验结果与预测结果具有良好的相关性,表明该模型可用于木质纤维素生物质的有效预处理。在实验实际值与预测值无差异的情况下,对模型进行了验证。利用红外光谱分析了甘蔗渣预处理过程中化学结构的变化。相比之下,经过H2O2处理的甘蔗渣结晶度(CI = 23.63%)高于未经处理的甘蔗渣结晶度(CI = 15.84%)。与未处理甘蔗渣相比,木质素的损失增加了处理甘蔗渣中纤维素的比例,而木质素的损失对CrI的贡献最大。H2O2浓度预处理的甘蔗渣还原糖产率最高(58.7 mg/g)。预处理甘蔗渣的乙醇产量(73.88 g/L)高于未处理甘蔗渣(45.49 g/L)。
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