6533b855fe1ef96bd12b138b

RESEARCH PRODUCT

Multivariate Correlation between Analytical Data for Various Organics Dissolved during Autohydrolysis of Silver Birch (Betula pendula) Chips and Treatment Conditions

Raimo AlénJoni LehtoPetteri Malkavaara

subject

Environmental EngineeringSoftwoodChemistrylcsh:BiotechnologyCarbohydratesPrincipal component analysisBioengineeringPulp and paper industryLigninChemical pulpingchemistry.chemical_compoundVolatile acidsAutohydrolysisBetula pendulaBiorefininglcsh:TP248.13-248.65HardwoodBetula pendulaOrganic chemistryLigninOrganic componentBiorefiningFuransWaste Management and Disposal

description

Autohydrolysis pre-treatments were performed for the production of hemicellulose-rich autohydrolysates from silver birch (Betula pendula) chips prior to chemical pulping. Pre-treatment conditions were varied with respect to time (from 30 to 120 min) and temperature (130 and 150 °C), covering a P-factor range from 10 to 238. Hydrolysates were analyzed in terms of carbohydrates, lignin, volatile organic acids, and furanoic compounds. The analytical data were subjected to various chemometric techniques to establish the relationships between dissolved organic components, hardwood and softwood used in the experiments, and applied pre-treatment conditions. Using this method, differences between the wood species could be clearly seen, and a relatively accurate model for the autohydrolysis of birch chips was developed.

yearjournalcountryeditionlanguage
2014-07-07BioResources
10.15376/biores.9.3.4958-4970http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_09_3_4958_Lehto_Multivariate_Correlation_Analytical_Data