Comprehensive Evaluation and Prediction of the Effectiveness of H_(2)O_(2)- assisted Na_(2)CO_(3)Pretreatment of Corn Stover Using Multivariate Analysis

Xiaoyan Feng; Xuejin Xie; Yidong Zhang; Guang Yu; Chao Liu; Bin Li; Qiu Cui

首页> 中文期刊> 《造纸与生物质材料：英文版》 >Comprehensive Evaluation and Prediction of the Effectiveness of H_(2)O_(2)- assisted Na_(2)CO_(3)Pretreatment of Corn Stover Using Multivariate Analysis

Comprehensive Evaluation and Prediction of the Effectiveness of H_(2)O_(2)- assisted Na_(2)CO_(3)Pretreatment of Corn Stover Using Multivariate Analysis

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In this study,multivariate analysis methods,including a principal component analysis(PCA)and partial least square(PLS)analysis,were applied to reveal the inner relationship of the key variables in the process of H_(2)O_(2)-assisted Na_(2)CO_(3)(HSC)pretreatment of corn stover.A total of 120 pretreatment experiments were implemented at the lab scale under different conditions by varying the particle size of the corn stover and process variables.The results showed that the Na_(2)CO_(3) dosage and pretreatment temperature had a strong influence on lignin removal,whereas pulp refining instrument(PFI)refining and Na_(2)CO_(3) dosage played positive roles in the final total sugar yield.Furthermore,it was found that pretreatment conditions had a more significant impact on the amelioration of pretreatment effectiveness compared with the properties of raw corn stover.In addition,a prediction of the effectiveness of the corn stover HSC pretreatment based on a PLS analysis was conducted for the first time,and the test results of the predictability based on additional pretreatment experiments proved that the developed PLS model achieved a good predictive performance(particularly for the final total sugar yield),indicating that the developed PLS model can be used to predict the effectiveness of HSC pretreatment.Therefore,multivariate analysis can be potentially used to monitor and control the pretreatment process in future large-scale biorefinery applications.

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《造纸与生物质材料：英文版》 |2021年第2期|P.1-15|共15页
作者
Xiaoyan Feng; Xuejin Xie; Yidong Zhang; Guang Yu; Chao Liu; Bin Li; Qiu Cui;
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作者单位

Key Laboratory of Biofuels Shandong Engineering Laboratory of Single Cell Oil Qingdao Engineering Laboratory of Single Cell Oil Qingdao Institute of Bioenergy and Bioprocess Technology Chinese Academy of Sciences Qingdao Shandong Province 266101 China;

Key Laboratory of Biofuels Shandong Engineering Laboratory of Single Cell Oil Qingdao Engineering Laboratory of Single Cell Oil Qingdao Institute of Bioenergy and Bioprocess Technology Chinese Academy of Sciences Qingdao Shandong Province 266101 China;

Key Laboratory of Biofuels Shandong Engineering Laboratory of Single Cell Oil Qingdao Engineering Laboratory of Single Cell Oil Qingdao Institute of Bioenergy and Bioprocess Technology Chinese Academy of Sciences Qingdao Shandong Province 266101 China;

Key Laboratory of Biofuels Shandong Engineering Laboratory of Single Cell Oil Qingdao Engineering Laboratory of Single Cell Oil Qingdao Institute of Bioenergy and Bioprocess Technology Chinese Academy of Sciences Qingdao Shandong Province 266101 ChinaShandong Energy Institute Qingdao Shandong Province 266101 China;

Key Laboratory of Biofuels Shandong Engineering Laboratory of Single Cell Oil Qingdao Engineering Laboratory of Single Cell Oil Qingdao Institute of Bioenergy and Bioprocess Technology Chinese Academy of Sciences Qingdao Shandong Province 266101 ChinaShandong Energy Institute Qingdao Shandong Province 266101 China;

Key Laboratory of Biofuels Shandong Engineering Laboratory of Single Cell Oil Qingdao Engineering Laboratory of Single Cell Oil Qingdao Institute of Bioenergy and Bioprocess Technology Chinese Academy of Sciences Qingdao Shandong Province 266101 ChinaShandong Energy Institute Qingdao Shandong Province 266101 ChinaDalian National Laboratory for Clean Energy Dalian Liaoning Province 116023 China;

Key Laboratory of Biofuels Shandong Engineering Laboratory of Single Cell Oil Qingdao Engineering Laboratory of Single Cell Oil Qingdao Institute of Bioenergy and Bioprocess Technology Chinese Academy of Sciences Qingdao Shandong Province 266101 ChinaShandong Energy Institute Qingdao Shandong Province 266101 ChinaDalian National Laboratory for Clean Energy Dalian Liaoning Province 116023 China;

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原文格式 PDF
正文语种 chi
中图分类金属学与热处理;
关键词
lignocellulose pretreatment; corn stover; Na_(2)CO_(3); principle component analysis; partial least square analysis;

机译：木质纤维素预处理;玉米秸秆;NA_（2）CO_（3）;主成分分析;部分最小二乘分析;

Comprehensive Evaluation and Prediction of the Effectiveness of H_(2)O_(2)- assisted Na_(2)CO_(3)Pretreatment of Corn Stover Using Multivariate Analysis

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