Improved multivariate calibration models for corn stover feedstock and dilute-acid pretreated corn stover

We have studied rapid calibration models to predict the composition of a variety of biomass feedstocks by correlating near-infrared spectroscopic data to compositional data produced using traditional wet chemical analysis techniques

Edward J. Wolfrum

2009

Scholarcy highlights

  • We have studied rapid calibration models to predict the composition of a variety of biomass feedstocks by correlating near-infrared spectroscopic data to compositional data produced using traditional wet chemical analysis techniques
  • This work discusses the latest versions of the NIR calibration models for corn stover feedstock and dilute-acid pretreated corn stover
  • A single calibration model combining the corn stover feedstock and dilute-acid pretreated corn stover samples gave less satisfactory predictions than the separate models

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