Fermentation,
Journal Year:
2022,
Volume and Issue:
8(10), P. 510 - 510
Published: Oct. 2, 2022
Xyloglucan
(XG)
is
the
predominant
hemicellulose
in
primary
cell
wall
of
superior
plants.
It
has
a
fundamental
role
controlling
stretching
and
expansion
plant
wall.
There
are
five
types
enzymes
known
to
cleave
linear
chain
xyloglucan,
most
well-known
xyloglucanase
(XEG).
The
immobilization
process
can
be
used
solve
problems
related
stability,
besides
economic
benefits
brought
by
possibility
its
repeated
use
recovery.
Therefore,
this
study
aims
at
optimization
production
Trichoderma
longibrachiatum
using
central
composite
rotatable
design
(CCRD)
with
tamarind
jatoba
seeds
as
carbon
sources,
well
XEG
on
ionic
supports,
such
MANAE
(monoamine-N-aminoethyl),
DEAE
(diethylaminoethyl)-cellulose,
CM
(carboxymethyl)-cellulose,
PEI
(polyethyleneimine).
High
concentrations
sources
(1.705%),
temperature
30
°C
under
agitation
for
72
h,
were
favorable
conditions
activity
from
T.
respect
both
sources.
However,
showed
23.5%
higher
compared
seeds.
source
was
chosen
continue
experiments.
scaling
up
Erlenmeyer
flasks
bioreactor
increased
1.27-fold
(1.040
±
0.088
U/mL).
Regarding
biochemical
characterization
crude
extract,
optimal
range
50–55
°C,
pH
5.0.
stabilities
temperature,
not
stable
prolonged
periods,
which
crucial
immobilizing
it
resins.
best
efficiency
CM-cellulose
DEAE-cellulose,
activities
1.16
0.89
U/g
derivative
(enzyme
plus
support),
respectively.
This
describes,
first
time
literature,
fungal
these
supports.
Environmental Technology & Innovation,
Journal Year:
2023,
Volume and Issue:
29, P. 103037 - 103037
Published: Jan. 27, 2023
Lignocellulosic
biomass
(LCB)
waste
materials
are
abundant
in
nature,
and
because
of
their
high
cellulose
content,
they
rank
among
the
most
widely
accessible
preferred
feedstocks
for
development
cost-effective
biorefineries.
The
main
obstacle
to
long-term
viability
this
valorization
at
pilot
size,
however,
is
complexity
structural
composition
these
wastes
lack
a
suitable
bioprocess
economical
efficient
biotransformation.
current
review
investigates
potential
economically
viable
environmentally
friendly
biotransformation
LCB
into
cellulolytic
enzymes
biofuels
generation
technologies.
focuses
on
synthesis
energy
from
through
Based
update
progress,
information
constraint
that
currently
exists
structure
successful
limitation
surmounted
have
also
been
evaluated.
To
improve
overall
sustainable
scale,
other
possible
recommendations
proposed.
Such
valorizations
can
contribute
circular
economy
future
applications.
Fermentation,
Journal Year:
2025,
Volume and Issue:
11(2), P. 62 - 62
Published: Feb. 1, 2025
Renewable
energy
sources,
such
as
biofuels,
represent
promising
alternatives
to
reduce
dependence
on
fossil
fuels
and
mitigate
climate
change.
Their
production
through
enzymatic
hydrolysis
has
gained
relevance
by
converting
agro-industrial
waste
into
fermentable
sugars
residual
oils,
which
are
essential
for
the
generation
of
bioethanol
biodiesel.
The
fungus
Aspergillus
stands
out
a
key
source
enzymes,
including
cellulases,
xylanases,
amylases,
lipases,
crucial
breakdown
biomass
oils
produce
fatty
acid
methyl
esters
(FAME).
This
review
examines
current
state
these
technologies,
highlighting
significance
in
conversion
energy-rich
materials.
While
process
holds
significant
potential,
it
faces
challenges
high
costs
associated
with
final
processing
stages.
Agro-industrial
is
proposed
an
resource
support
circular
economy,
thereby
eliminating
reliance
non-renewable
resources
processes.
Furthermore,
advanced
pretreatment
technologies—including
biological,
physical,
physicochemical
methods,
well
use
ionic
liquids—are
explored
enhance
efficiency.
Innovative
genetic
engineering
strains
enzyme
encapsulation,
promise
optimize
sustainable
biofuel
addressing
advancing
this
technology
towards
large-scale
implementation.
Catalysts,
Journal Year:
2023,
Volume and Issue:
13(6), P. 961 - 961
Published: June 1, 2023
Biocatalysis
is
currently
a
workhorse
used
to
produce
wide
array
of
compounds,
from
bulk
fine
chemicals,
in
green
and
sustainable
manner.
The
success
biocatalysis
largely
thanks
an
enlargement
the
feasible
chemical
reaction
toolbox.
This
materialized
due
major
advances
enzyme
screening
tools
methods,
together
with
high-throughput
laboratory
techniques
for
biocatalyst
optimization
through
engineering.
Therefore,
enzyme-related
knowledge
has
significantly
increased.
To
handle
large
number
data
now
available,
computational
approaches
have
been
gaining
relevance
biocatalysis,
among
them
machine
learning
methods
(MLMs).
MLMs
use
algorithms
learn
improve
experience
automatically.
review
intends
briefly
highlight
contribution
within
biochemical
engineering
bioprocesses
present
key
aspects
scope
related
fields,
mostly
readers
non-skilled
mind.
Accordingly,
brief
overview
basic
concepts
underlying
are
presented.
complemented
steps
build
model
followed
by
insights
into
types
intelligently
analyse
data,
identify
patterns
develop
realistic
applications
bioprocesses.
Notwithstanding,
given
this
review,
some
recent
illustrative
examples
protein
engineering,
production,
formulation
provided,
future
developments
suggested.
Overall,
it
envisaged
that
will
provide
how
these
assets
more
efficient
biocatalysis.
