Biomass Compositional Analysis: Impact of Feedstock Variability & Analytical Inconsistencies
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Biomass compositional analysis is the foundation for process design, yield estimation, and techno-economic modeling in biorefineries.
Yet two factors often introduce significant uncertainty into reported results:
• natural variability in feedstock composition
• inconsistencies in analytical execution
Even subtle differences in sampling, preparation, or measurement can influence compositional data, and ultimately affect downstream engineering and economic decisions.
In this webinar, Dr. Harshad Velankar, Chief Scientific Officer at altM, will explore how these factors shape biomass compositional analysis and why improving analytical rigor is essential for reliable process development.