Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Dec. 30, 2024
Climate
change
has
caused
many
challenges
to
soil
ecosystems,
including
salinity.
Consequently,
strategies
are
advised
mitigate
this
issue.
In
context,
biochar
is
acknowledged
as
a
useful
addition
that
can
alleviate
the
detrimental
impacts
of
salt
stress
on
plants.
The
objective
study
evaluate
effects
different
levels
(Control;
T0
0
gl
Carbonaceous
materials,
including
activated
carbon
and
pyrolytic
carbon,
have
been
recognized
for
about
over
a
decade
as
effective
electron
shuttles
or
conductive
materials
in
promoting
microbial
Fe(III)
mineral
reduction.
However,
recent
studies
reveal
inhibitory
effects,
sparking
debates
their
overall
impact.
We
hypothesized
that
the
physical
contact
between
bacteria
is
an
overlooked
yet
critical
factor
determining
whether
promotes
inhibits
Using
systems
containing
Shewanella
oneidensis
MR-1,
ferrihydrite,
we
investigated
how
carbon-iron
oxide
aggregate
structure
affects
reduction
kinetics.
At
low
carbon-to-iron
ratios
(C/Fe
=
5:7
by
mass),
ferrihydrite
aggregated
with
forming
carbon-encapsulated
particles
suppressed
rates.
Conversely,
at
higher
100:7),
dispersed
on
surface,
enhancing
both
rate
extent
of
Tests
11
different
carbonaceous
(activated
biochar)
all
confirmed
microstructure
iron
oxides─whether
encapsulating
dispersed─on
surfaces
This
insight
resolves
debate
promote
inhibit
enhances
our
understanding
roles
biogeochemical
processes
environmental
remediation.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(6), P. 1673 - 1673
Published: March 8, 2025
Vegetation
biochemical
and
biophysical
variables,
especially
chlorophyll
content,
are
pivotal
indicators
for
assessing
drought’s
impact
on
plants.
Chlorophyll,
crucial
photosynthesis,
ultimately
influences
crop
productivity.
This
study
evaluates
the
mean
squared
Euclidean
distance
(MSD)
method,
traditionally
applied
in
soil
analysis,
estimating
content
five
diverse
leaf
types
across
various
months
using
visible/near-infrared
(vis/NIR)
spectral
reflectance.
The
MSD
method
serves
as
a
tool
selecting
representative
calibration
dataset.
By
integrating
with
partial
least
squares
regression
(PLSR)
Cubist
model,
we
aim
to
accurately
predict
focusing
key
bands
within
ranges
of
500–640
nm
740–1100
nm.
In
validation
dataset,
PLSR
achieved
high
determination
coefficient
(R2)
0.70
low
bias
error
(MBE)
0.04
mg
g−1.
model
performed
even
better,
demonstrating
an
R2
0.77
exceptionally
MBE
0.01
These
results
indicate
that
dataset
leaves,
vis/NIR
spectrometry
combined
is
promising
alternative
traditional
methods
quantifying
over
months.
technique
non-destructive,
rapid,
consistent,
making
it
invaluable
drought
impacts
plant
health