Optimization of slurry ratio and sonication time on biogas production from chicken droppings.

Q3 Agricultural and Biological Sciences BioTechnologia Pub Date : 2022-01-01 DOI:10.5114/bta.2022.118669
Ibrahim K Abubakar, Aminu Ibrahim, Yusuf Y Muhammad
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引用次数: 1

Abstract

Background: A research was conducted on the ultrasonic pretreatment of chicken droppings for biogas production. The hydrolysis step in anaerobic digestion is rate-limiting and time-consuming due to the presence of complex molecules in the organic wastes. Pretreatment encourages faster digestion and yields improvement by making the organic waste ready for microbial attack.

Material and methods: To achieve the optimum sonication time and slurry ratio for maximum biogas production, Response Surface Methodology (RSM) was used in this study. 13 experimental runs were developed according to Central Composite Design with different setup conditions and five replicates at center points to observe the Response, i.e., volumes of biogas produced. This was achieved with the aid of a software package (Design Expert 12.0.1.0). A quadratic model was developed for the responses and a 3D response surface plot was obtained to analyze the effect of the variables and their interactions to determine their optimum levels.

Results: The numerical optimization and point prediction result gave a sonication time of 18.6 minutes and a slurry ratio of 2.0 (i.e., 2.0 : 1.0). Under this condition, the predicted maximum volume of biogas production is 24.514 ml in 12 days. This prediction was tested and validated, and the volume of biogas produced under the same conditions was 22.282 ml. This confirmed the adequacy of the predicted model as only a 10.02% error was recorded.

Conclusions: Henceforth, the optimum sonication time and slurry ratio were achieved for maximum biogas production from chicken droppings.

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鸡粪制沼气的料浆比及超声时间优化。
背景:对鸡粪的超声波预处理用于沼气生产进行了研究。由于有机废物中存在复杂的分子,厌氧消化中的水解步骤是限速和耗时的。预处理通过使有机废物为微生物攻击做好准备,促进更快的消化和产量的提高。材料与方法:本研究采用响应面法(RSM)确定最佳超声时间和料浆比,以获得最大的沼气产量。根据中心组合设计,在不同的设置条件下进行了13次试验,并在中心点重复5次,以观察响应,即沼气产量。这是在软件包(Design Expert 12.0.1.0)的帮助下实现的。建立了响应的二次模型,绘制了三维响应面图,分析了各变量的影响及其相互作用,确定了各变量的最佳水平。结果:数值优化和点位预测结果表明,超声时间为18.6 min,料浆比为2.0(即2.0:1.0)。在此条件下,预计12天最大产气量为24.514 ml。对该预测进行了测试和验证,在相同条件下产生的沼气量为22.282 ml,这证实了预测模型的充分性,仅记录了10.02%的误差。结论:在此基础上,确定了最佳超声时间和料浆比,以最大限度地利用鸡粪生产沼气。
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来源期刊
BioTechnologia
BioTechnologia Agricultural and Biological Sciences-Plant Science
CiteScore
1.60
自引率
0.00%
发文量
8
审稿时长
8 weeks
期刊介绍: BIOTECHNOLOGIA – a high standard, peer-reviewed, quarterly magazine, providing a medium for the rapid publication of research reports and review articles on novel and innovative aspects of biotechnology, computational biology and bionanotechnology.
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