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评价两种用于优化厌氧共消化中饲料成分的统计方法:混合物设计和中心复合设计。

Evaluation of two statistical methods for optimizing the feeding composition in anaerobic co-digestion: mixture design and central composite design.

机构信息

College of Agronomy, Northwest A&F University, Yangling 712100, China.

出版信息

Bioresour Technol. 2013 Mar;131:172-8. doi: 10.1016/j.biortech.2012.12.174. Epub 2013 Jan 4.

DOI:10.1016/j.biortech.2012.12.174
PMID:23347932
Abstract

To investigate the feasibility of statistical methods in optimizing the feeding composition in anaerobic co-digestion, a simplex-centroid mixture design (SCMD) and central composite design (CCD) were evaluated with methane potential as the response variable. Dairy manure, chicken manure, swine manure and rice straw (RS) were selected as raw materials and two kinds of manures and RS were mixed in each blend. Each component served as an independent variable in the SCMD and CCD and involved two factors, the manure and C/N ratios. Co-digestion of three-component substrates resulted in higher methane potentials than single and two-component substrates. In response surface plots, SCMD showed the interactions among each component in the co-substrates and CCD presented the interaction between the ratio of manures and the C/N ratio. SCMD and CCD are both suitable methods for optimizing the feeding composition during anaerobic co-digestion.

摘要

为了研究统计方法在优化厌氧共消化中进料组成的可行性,以甲烷潜能为响应变量,评估了单纯形质心混合设计(SCMD)和中心复合设计(CCD)。选择奶牛粪便、鸡粪、猪粪和水稻秸秆(RS)作为原料,每种混合物中都有两种粪便和 RS 混合。SCMD 中每个成分都是独立变量,CCD 中每个成分涉及两个因素,即粪便和 C/N 比。三组分底物的共消化产生的甲烷潜能高于单组分和双组分底物。在响应面图中,SCMD 显示了共底物中每个成分之间的相互作用,CCD 显示了粪便比例和 C/N 比之间的相互作用。SCMD 和 CCD 都是优化厌氧共消化中进料组成的合适方法。

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