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High-throughput Screening of Recalcitrance Variations in Lignocellulosic Biomass: Total Lignin, Lignin Monomers, and Enzymatic Sugar Release
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Addressing raw material variability: In-line FTIR sugar composition analysis of lignocellulosic process streams.

Daniel Waldschitz1, Yannick Bus1, Christoph Herwig2

  • 1Research Group Bioprocess Technology, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Gumpendorferstraße 1A, Vienna A-1060, Austria.

Bioresource Technology
|March 16, 2024
PubMed
Summary
This summary is machine-generated.

Biorefineries need real-time monitoring of variable lignocellulosic feedstocks. This study presents a novel process analytical technique (PAT) for accurately determining sugar composition in ultra-filtered spent sulfite liquor (UF-SSL).

Keywords:
Lignocellulosic feedstockPATRaw material variationSpent sulfite liquormid-IR

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Area of Science:

  • Biotechnology
  • Chemical Engineering
  • Analytical Chemistry

Background:

  • Sustainable economies rely on biorefineries utilizing second-generation feedstocks.
  • The variability of renewable feedstocks poses challenges for consistent bioprocess control.
  • Accurate, real-time monitoring of feedstock composition is crucial for optimizing biorefinery operations.

Purpose of the Study:

  • To develop and validate a process analytical technique (PAT) for real-time sugar composition analysis of lignocellulosic streams.
  • To enable enhanced control of bioprocesses through immediate feedback on feedstock composition.
  • To quantify major sugars in ultra-filtered spent sulfite liquor (UF-SSL) using a novel PAT strategy.

Main Methods:

  • Utilized an in-line mid-infrared (mid-IR) probe for spectral acquisition of ultra-filtered spent sulfite liquor (UF-SSL).
  • Developed independent partial least squares (PLS) models for quantifying abundant sugars.
  • Simultaneously determined the concentration and composition of up to five key sugars.

Main Results:

  • Achieved low root mean square errors for key sugar quantifications: 1.02 g/L (arabinose), 1.25 g/L (galactose), 0.50 g/L (glucose), 1.60 g/L (mannose), and 0.85 g/L (xylose).
  • Demonstrated the capability of the PAT strategy to provide real-time sugar composition data for UF-SSL.
  • Successfully quantified multiple sugars simultaneously within the lignocellulosic stream.

Conclusions:

  • The developed PAT tool enables real-time monitoring of sugar composition in UF-SSL.
  • This technology facilitates improved bioprocess control and optimization in biorefineries.
  • Opens avenues for developing new bioprocessing strategies for UF-SSL.