Refine
Year of publication
- 2016 (268) (remove)
Document Type
- Article (116)
- Conference Proceeding (80)
- Part of a Book (27)
- Book (23)
- Other (10)
- Report (5)
- Doctoral Thesis (3)
- Part of Periodical (2)
- Patent (1)
- Talk (1)
Keywords
- Technical Operations Research (2)
- Additive Manufacturing (1)
- Annulus Fibrosus (1)
- Assessment (1)
- Asymptotic efficiency (1)
- Bacillus atrophaeus (1)
- Balance (1)
- Balanced hypergraph (1)
- Brandfall (1)
- Building Systems (1)
- Business Simulations (1)
- Cardiac myocytes (1)
- Cardiac tissue (1)
- CellDrum (1)
- Censored data (1)
- Co-managed care (1)
- Collaborative robot (1)
- Computational biomechanics (1)
- Controller Parameter (1)
- DNA biosensor (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (54)
- Fachbereich Chemie und Biotechnologie (36)
- Fachbereich Bauingenieurwesen (35)
- Fachbereich Elektrotechnik und Informationstechnik (35)
- IfB - Institut für Bioengineering (35)
- Fachbereich Wirtschaftswissenschaften (31)
- Fachbereich Luft- und Raumfahrttechnik (27)
- Fachbereich Maschinenbau und Mechatronik (25)
- Fachbereich Energietechnik (17)
- INB - Institut für Nano- und Biotechnologien (15)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (11)
- Institut fuer Angewandte Polymerchemie (5)
- Nowum-Energy (5)
- Solar-Institut Jülich (5)
- ZHQ - Bereich Hochschuldidaktik und Evaluation (5)
- ECSM European Center for Sustainable Mobility (4)
- Fachbereich Architektur (4)
- FH Aachen (2)
- IBB - Institut für Baustoffe und Baukonstruktionen (2)
- Fachbereich Gestaltung (1)
The composition of plant biomass varies depending on the feedstock and pre-treatment conditions and influences its processing in biorefineries. In order to ensure optimal process conditions, the quantitative proportion of the main polymeric components of the pre-treated biomass has to be determined. Current standard procedures for biomass compositional analysis are complex, the measurements are afflicted with errors and therefore often not comparable. Hence, new powerful analytical methods are urgently required to characterize biomass. In this contribution, Differential Scanning Calorimetry (DSC) was applied in combination with multivariate data analysis (MVA) to detect the cellulose content of the plant biomass pretreated by Liquid Hot Water (LHW) and Organosolv processes under various conditions. Unlike conventional techniques, the developed analytic method enables the accurate quantification of monosaccharide content of the plant biomass without any previous sample preparation. It is easy to handle and avoids errors in sample preparation.