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Author Pabon-Pereira, C.P.; Hamelers, H.V.M.; Matilla, I.; van Lier, J.B. doi  openurl
  Title New Insights on the Estimation of the Anaerobic Biodegradability of Plant Material: Identifying Valuable Plants for Sustainable Energy Production Type
  Year 2020 Publication Processes Abbreviated Journal Processes  
  Volume 8 Issue 7 Pages (up) 23 pp  
  Keywords anaerobic digestion; biodegradability; lignocellulosics; fiber degradation  
  Abstract Based on fifteen European plant species, a statistical model for the estimation of the anaerobic biodegradability of plant material was developed. We show that this new approach represents an accurate and cost-effective method to identify valuable energy plants for sustainable energy production. In particular, anaerobic biodegradability (B-o) of lignocellulosic material was empirically found to be related to the amount of cellulose plus lignin, as analytically assessed by the van Soest method, i.e., the acid detergent fiber (ADF) value. Apart from being theoretically meaningful, the ADF-based empirical model requires the least effort compared to the other four proposed conceptual models proposed, as individual fractions of cellulose, hemicellulose, and lignin do not need to be assessed, which also enhances the predictive accuracy of the model's estimation. The model's results showed great predictability power, allowing us to identify interesting crops for sustainable crop rotations. Finally, the model was used to predictB(o)of 114 European plant samples that had been previously characterized by means of the van Soest method.  
  Address [Pabon-Pereira, Claudia P.] Univ Adolfo Ibanez, Fac Engn & Sci, Diagonal Las Torres 2700, Penalolen 2700, Santiago De Chi, Chile, Email:;  
  Corporate Author Thesis  
  Publisher Mdpi Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2227-9717 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000556716400001 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 1217  
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