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Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass

National Renewable Energy Laboratory

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Technology Marketing SummaryNREL has developed the following laboratory analytical procedures (LAPs) for standard biomass analysis. The American Society for Testing and Materials (ASTM) and the Technical Association of the Pulp and Paper Industry (TAPPI) may have adopted similar procedures. ASTM and TAPPI versions may be ordered from those organizations. DescriptionNear-infrared (NIR) calibration models are created by applying multivariate calibration methods to the combination of wet chemistry data and NIR spectra of a given set of biomass samples. Wet chemical compositional data and NIR spectra exist for the following types of biomass samples: corn stover, switchgrass, mixed hardwoods, mixed softwoods, sorghum, and miscanthus. These samples may be feedstock samples, washed and dried solids from one or more pretreatment processes, liquors derived from one or more pretreatment processes, or whole pretreated slurries. BenefitsUse of the NIR calibration models reduce the cost and increase the speed of sample analysis. Applications and Industries
  • Biofuel Producers
  • Spectrometer Manufacturers
More InformationTechnology is Copyrighted Technology Status
Development StageAvailabilityPublishedLast Updated
Development - Tested and ValidatedAvailable01/21/201002/02/2010

Contact NREL About This Technology

To: Anne Miller <anne.miller@nrel.gov>