The
lignocellulose
rich
sweet
sorghum
bagasse
(SSB)
is
a
good
feedstock
for
bioethanol
production
after
conversion
of
its
insoluble
carbohydrates,
mainly
cellulose,
to
fermentable
sugars.
Main
focus
of
the
present
investigation
was
therefore,
to
determine
the
optimum
conditions
for
enzymatic
saccharification
of
SSB
using
indigenously
produced
cellulases
from
a
novel
fungal
consortium
of
Aspergillus
flavus
F-80
and
Aspergillus
niger
MTCC-2425.
Response
surface
methodology
was
adopted
by
using
a
three
factor-
three
level
Box–Behnken
design
by
selecting
substrate
concentration
(%,
w/v),
saccharification
time
(h)
and
enzyme
loading
(FPU
g
−1 substrate)
as
the
main
process
parameters.
Data
obtained
from
RSM
were
subjected
to
the
analysis
of
variance
(ANOVA)
and
analyzed
using
a
second
order
polynomial
equation.
The
developed
model
was
found
to
be
robust
and
was
used
to
optimize
the
%
saccharification
yield
during
enzymatic
hydrolysis.
Under
optimized
conditions
(substrate
concentration
6%,
w/v,
time
48
h
and
enzyme
loading
of
22
FPU
g
−1 substrate),
maximum
saccharification
yield
of
51.21%
was
achieved.
Structural
modification
of
SSB
due
to
enzymatic
saccharification
was
supported
by
changes
in
ther-
mal
decomposition
behavior
and
pore
formation
observed
during
thermogravimetric
and
SEM
analysis,
respectively.
The
lignocellulose
rich
sweet
sorghum
bagasse
(SSB)
is
a
good
feedstock
for
bioethanol
production
after
conversion
of
its
insoluble
carbohydrates,
mainly
cellulose,
to
fermentable
sugars.
Main
focus
of
the
present
investigation
was
therefore,
to
determine
the
optimum
conditions
for
enzymatic
saccharification
of
SSB
using
indigenously
produced
cellulases
from
a
novel
fungal
consortium
of
Aspergillus
flavus
F-80
and
Aspergillus
niger
MTCC-2425.
Response
surface
methodology
was
adopted
by
using
a
three
factor-
three
level
Box–Behnken
design
by
selecting
substrate
concentration
(%,
w/v),
saccharification
time
(h)
and
enzyme
loading
(FPU
g
−1 substrate)
as
the
main
process
parameters.
Data
obtained
from
RSM
were
subjected
to
the
analysis
of
variance
(ANOVA)
and
analyzed
using
a
second
order
polynomial
equation.
The
developed
model
was
found
to
be
robust
and
was
used
to
optimize
the
%
saccharification
yield
during
enzymatic
hydrolysis.
Under
optimized
conditions
(substrate
concentration
6%,
w/v,
time
48
h
and
enzyme
loading
of
22
FPU
g
−1 substrate),
maximum
saccharification
yield
of
51.21%
was
achieved.
Structural
modification
of
SSB
due
to
enzymatic
saccharification
was
supported
by
changes
in
ther-
mal
decomposition
behavior
and
pore
formation
สังเกต
ระหว่าง
thermogravimetric
และ
SEM
วิเคราะห์,
ตามลำดับ
การแปล กรุณารอสักครู่..
The lignocellulose rich sweet sorghum bagasse (SSB) is a good feedstock for bioethanol production after conversion of its insoluble carbohydrates, mainly cellulose, to fermentable sugars. Main focus of the present investigation was therefore, to determine the optimum conditions for enzymatic saccharification of SSB using indigenously produced cellulases from a novel fungal consortium of Aspergillus flavus F-80 and Aspergillus niger MTCC-2425. Response surface methodology was adopted by using a three factor- three level Box–Behnken design by selecting substrate concentration (%, w/v), saccharification time (h) and enzyme loading (FPU g −1 substrate) as the main process parameters. Data obtained from RSM were subjected to the analysis of variance (ANOVA) and analyzed using a second order polynomial equation. The developed model was found to be robust and was used to optimize the % saccharification yield during enzymatic hydrolysis. Under optimized conditions (substrate concentration 6%, w/v, time 48 h and enzyme loading of 22 FPU g −1 substrate), maximum saccharification yield of 51.21% was achieved. Structural modification of SSB due to enzymatic saccharification was supported by changes in ther- mal decomposition behavior and pore formation observed during thermogravimetric and SEM analysis, respectively.
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