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by claude@2026-06, 2026-06-24
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The paper studied how standard glucose quantification during high-solids enzymatic hydrolysis can produce analytical errors when hydrolysate density changes are ignored. Using theoretical modeling and experiments involving 40% solids hydrolysis of extruded corn, the authors compared an uncorrected apparent glucose calculation method (CG1) with a validated density-corrected method (CG). They found that CG1 progressively overestimated true glucose concentration, with an error reaching about 15% after 24 hours, inflating apparent glucose yield to 106.5% versus 92.9% with the corrected CG method. A major caveat is that the work is a preprint with preliminary data and not yet peer-reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.
Abstract
Standard methods for glucose quantification during high-solids enzymatic hydrolysis often neglect changes in hydrolysate density, leading to significant analytical errors and unrealistic process yields (>100%). To address this critical flaw, this research develops and validates a density-corrected calculation method ( C G ) while quantifying the error associated with the common, apparent approach ( C G 1 ). Theoretical modeling predicted a substantial overestimation by the uncorrected method, a finding confirmed during the 40% solids hydrolysis of extruded corn. Experimentally, the uncorrected ( C G 1 ) method progressively overestimated the true glucose concentration, with the discrepancy reaching approximately 15% after 24 hours. This resulted in a significantly inflated apparent glucose yield of 106.5% compared to the plausible 92.9% yield calculated with the corrected ( C G ) method. The results demonstrate that neglecting density is a major source of inaccuracy in high-solids analysis. Therefore, incorporating measured hydrolysate density via the validated ( C G ) method is essential for reliable monitoring, optimization, and comparison of high-solids bioprocesses for biofuel and biochemical production.
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Posted on 2 Jul 2025 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.175146866.67613268/v1 — This is a preprint and has not been peer-reviewed. Data may be preliminary.
A Density-Corrected Method for Accurate Glucose Quantification
during High-Solids Enzymatic Hydrolysis of Corn
Daniel Oluwagbotemi Fasheun 1, Rodrigo da Rocha Olivieri de Barros 1, Ayla Sant’Ana da
Silva1, Ricardo Sposina Sobral Teixeira 2, and Viridiana Santana Ferreira-Leit˜ ao1
1Instituto Nacional de Tecnologia
2Universidade Federal do Rio de Janeiro
July 02, 2025
Abstract
Standard methods for glucose quantification during high-solids enzymatic hydrolysis often neglect changes in hydrolysate density,
leading to significant analytical errors and unrealistic process yields (>100%). To address this critical flaw, this research develops
and validates a density-corrected calculation method ( C G ) while quantifying the error associated with the common, apparent
approach ( C G 1 ). Theoretical modeling predicted a substantial overestimation by the uncorrected method, a finding confirmed
during the 40% solids hydrolysis of extruded corn. Experimentally, the uncorrected ( C G 1 ) method progressively overestimated
the true glucose concentration, with the discrepancy reaching approximately 15% after 24 hours. This resulted in a significantly
inflated apparent glucose yield of 106.5% compared to the plausible 92.9% yield calculated with the corrected ( C G ) method.
The results demonstrate that neglecting density is a major source of inaccuracy in high-solids analysis. Therefore, incorporating
measured hydrolysate density via the validated ( C G ) method is essential for reliable monitoring, optimization, and comparison
of high-solids bioprocesses for biofuel and biochemical production.
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