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@ARTICLE{De:1050731,
author = {De, Partho Sakha and Grande, Philipp M and Heise, Henrike
and Klose, Holger and Raguin, Adélaïde},
title = {{S}tochastic model highlights the impact of crystallinity
on saccharification dynamics depending on plant chemotype
and pre-treatment},
journal = {PLOS ONE},
volume = {20},
number = {12},
issn = {1932-6203},
address = {San Francisco, California, US},
publisher = {PLOS},
reportid = {FZJ-2026-00474},
pages = {e0322367 -},
year = {2025},
abstract = {Enzymatic saccharification of plant-sourced lignocellulosic
biomass is a key step in biorefineryapproaches. However,
these biomasses in their raw form are quite
recalcitrant,which invokes the need for pre-treatment
processes aimed at not only increasing glucoseconversion,
but also better valorising non-carbohydrate biopolymers,
such as lignin.Here, we use a two-fold computational and
experimental approach to investigate
enzymaticsaccharification time-courses for three cellulosic
substrates (i.e. AVICEL, a mixtureof AVICEL with Organosolv
lignin, and Sigmacell), and four plant-sourced
lignocellulosicbiomasses following three different
conditions for each of them (i.e. untreated,OrganoCat
pre-treated with a swelling step, and OrganoCat pre-treated
without aswelling step), making a total of fifteen samples.
Considering the specific compositionof each substrate, the
model successfully reproduces the saccharification dynamics
foreach of the fifteen samples. It additionally provides
values for the parameter CrystallinityFraction that
faithfully replicate the substrate Crystallinity Indices
experimentally determinedby ssNMR. Importantly, we show that
the Crystallinity Index of distinct biomassesis differently
impacted by swelling, while the sugar release is
consistently impacted bypre-treatment across biomasses.
Eventually, both artificial cellulosic and
plant-sourcedlignocellulosic biomasses demonstrate that the
sugar release is the result of the combinationof the
Crystallinity Fraction (the model parameter for
experimentally measuredssNMR Crystallinity Index) and the
digestibility ratio, the model parameter that representsin a
coarse-grained manner complex spatial and structural
features. Overall, our resultsstress the need for further
experimental investigations that physically explain
variationsin the digestibility of crystalline bonds across
biomasses and pre-treatment conditions.Additionally, we
supplemented our work with theoretical investigations on a
generic lignocellulosicsubstrate to highlight the roles of
various model parameters in a qualitativemanner.},
cin = {IBG-2 / IBI-7},
ddc = {610},
cid = {I:(DE-Juel1)IBG-2-20101118 / I:(DE-Juel1)IBI-7-20200312},
pnm = {2171 - Biological and environmental resources for
sustainable use (POF4-217) / 5241 - Molecular Information
Processing in Cellular Systems (POF4-524)},
pid = {G:(DE-HGF)POF4-2171 / G:(DE-HGF)POF4-5241},
typ = {PUB:(DE-HGF)16},
doi = {10.1371/journal.pone.0322367},
url = {https://juser.fz-juelich.de/record/1050731},
}