Optimization of microalgal biomass (Scenedesmus dimorphus) for maximized bioethanol production through response surface methodology (RSM)

IF 4.1 4区 工程技术 Q3 ENERGY & FUELS Biomass Conversion and Biorefinery Pub Date : 2024-06-10 DOI:10.1007/s13399-024-05816-7
Muttu Pandian, Varsha Murugesan, Perumalsamy Muthiah
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Abstract

Microalgae show great potential as a bioethanol feedstock, primarily attributed to their rapid growth rates and higher carbohydrate content. The pretreatment of biomass is recognized as a crucial step in bioethanol production, as it is essential for providing fermentable reducing sugars (monosaccharides) necessary for yeast (Saccharomyces cerevisiae) growth. It is essential to optimize this step individually for each influencing parameter to enhance overall efficiency. The present study focuses on the optimization of the growth medium with the starvation conditions and microwave-assisted acid hydrolysis (with H2SO4) of Scenedesmus dimorphus through RSM (response surface methodology), investigating the impact of temperature, time of hydrolysis, acid concentration, and acid volume on the yield of carbohydrate, reducing sugar and bioethanol. Preliminary studies facilitated the identification of an appropriate strategy for cultivation in a growth medium and determining the extent to which the variables must be optimized. The medium optimization resulted in a higher carbohydrate yield (30%) in the Zarrouk medium under starved conditions. The generated models forecasted the maximum reducing sugar content (0.59 g/L; R2 = 0.977) after 11.87 min of acid hydrolysis under the temperature (145.16 °C) with an acid concentration of 1.25 N and acid volume (2.86 mL) whereas the maximum carbohydrate conversion yield (0.45 g/g) and bioethanol yield (20.5 wt%). When comparing the efficiency of carbohydrate conversion, the optimized process demonstrated an impressive 95.2% conversion rate, whereas the conventional process exhibited a significantly lower conversion rate of 62.18%. In summary, this research successfully identified the optimal growth medium and refined process conditions, ultimately maximizing the production of bioethanol.

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通过响应面方法学(RSM)优化微藻生物量(双孢藻),最大限度地提高生物乙醇产量
微藻的生长速度快,碳水化合物含量高,因此具有作为生物乙醇原料的巨大潜力。生物质预处理被认为是生物乙醇生产的关键步骤,因为它是提供酵母(Saccharomyces cerevisiae)生长所需的可发酵还原糖(单糖)的必要条件。为了提高整体效率,有必要针对每个影响参数分别对这一步进行优化。本研究主要通过响应面法(响应面法)优化饥饿条件下的生长培养基和微波辅助酸水解(H2SO4)条件,考察温度、水解时间、酸浓度和酸体积对二形花菜碳水化合物、还原糖和生物乙醇产量的影响。初步研究有助于确定在生长培养基中培养的适当策略,并确定必须优化变量的程度。培养基优化后,在饥饿条件下,Zarrouk培养基的碳水化合物产量更高(30%)。生成的模型预测最大还原糖含量(0.59 g/L;在温度(145.16℃)、酸浓度为1.25 N、酸体积为2.86 mL条件下,酸水解11.87 min, R2 = 0.977,而最大碳水化合物转化率为0.45 g/g,生物乙醇收率为20.5 wt%。对比碳水化合物的转化效率,优化后的工艺转化率高达95.2%,而常规工艺的转化率仅为62.18%。综上所述,本研究成功地确定了最佳生长培养基和改进的工艺条件,最终最大限度地提高了生物乙醇的产量。图形抽象
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来源期刊
Biomass Conversion and Biorefinery
Biomass Conversion and Biorefinery Energy-Renewable Energy, Sustainability and the Environment
CiteScore
7.00
自引率
15.00%
发文量
1358
期刊介绍: Biomass Conversion and Biorefinery presents articles and information on research, development and applications in thermo-chemical conversion; physico-chemical conversion and bio-chemical conversion, including all necessary steps for the provision and preparation of the biomass as well as all possible downstream processing steps for the environmentally sound and economically viable provision of energy and chemical products.
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