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Optimizing Lignin Removal of Green Bamboo during Formic Acid Pretreatment by Response Surface Methodology
  
DOI:10.11981/j.issn.1000-6842.2015.04.1
Key Words:formic acid pretreatment; response surface methodology; lignin removal rate; cellulose enzymatic hydrolysis; glucose yield
Fund Project:国家自然科学基金项目(31300495);教育部博士点基金项目(20123515120018) ;福建省自然科学基金项目(2013J05041,2014J05028);中国博士后科学基金项目(2015M571955) ;福建省教育厅科技计划项目(JB13033)。
Author NameAffiliation
唐兴平 福建农林大学材料工程学院,福建福州,350002 
刘 婧 福建农林大学材料工程学院,福建福州,350002 
罗小林* 福建农林大学材料工程学院,福建福州,350002 
黄六莲 福建农林大学材料工程学院,福建福州,350002 
陈礼辉 福建农林大学材料工程学院,福建福州,350002 
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Abstract:
      Central composite design (four-factor and five-level)of four independent variables influencing lignin removal rate(formic acid charge X1, the ratio of liquor to solid X2, pretreatment maximum temperature X3 and the pretreatment time at maximum temperature X4) during formic acid pretreatment of green bamboo was conducted by Design-expert software. Based on this design, a binomial equation with full factors (Model Ⅰ) was developed to predict lignin removal rate. By removing the parameters without influence on lignin removal, the amount of parameters in prediction model was reduced from 14 to 5 based on the significance of single and multi parameters. As a result, a simplified binomial equation was obtained (Model Ⅱ). The coefficient variations (C.V.) of these two prediction models were similar. In the two models, the square of coefficients (R2) of both measured lignin removal rate and prediction value were higher than 0.9. But the ratio of signal-to-noise (SNR) of the simplified equation was 20% higher, which indicating the effectiveness and stability of the simplified model for predicting lignin removal during formic acid pretreatment of green bamboo. The exponential relationship between lignin removal (RL) and cellulose enzymatic conversion (CEC) could be expressed as CEC=96.7+93.0/exp(0.04RL), where R2 was about 0.998. With the increase of RL, the cellulose removal (RC) also increased, but enzymatic hydrolysis glucose yield (YG) increased initially then reduced. The optimal RL was approximately 50%.
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