Water,
Journal Year:
2024,
Volume and Issue:
16(23), P. 3387 - 3387
Published: Nov. 25, 2024
Developing
novel
sorbents
for
effective
removal
of
heavy
metals
and
organic
dyes
from
industrial
wastewater
remains
a
central
theme
water
research.
We
modified
hydrochar
derived
the
hydrothermal
carbonization
wheat
straw
at
180
°C
with
3-Aminopropyl
triethoxysilane
(APTES)
to
enhance
its
versatile
adsorption
Pb(II),
Cu(II),
methylene
blue
(MB),
reactive
red
(Red).
Pristine
(HyC
APTES-HyC)
were
characterized
tested
sorption
performance.
Characterization
results
revealed
an
enriched
presence
N-functional
groups,
mainly
-NH2
C-N,
on
APTES-HyC,
in
addition
increased
specific
surface
area
1.14
m2/g
(HyC)
4.51
m2/g.
APTES-HyC
exhibited
faster
rate
than
HyC,
reaching
equilibrium
approximately
4
h
after
initiation.
The
Langmuir
capacities
49.6,
14.8,
31.7,
18.3
mg/g
MB,
Red,
respectively,
about
8.5,
5.0,
1.3,
9.5
times
higher
HyC.
enhanced
performance
is
attributed
which
facilitated
mechanisms
pollutant
concern
such
as
formation
frustrated
Lewis
pairs
cation–π
interactions
metal
ions
π–π
hydrogen
bond
dyes.
This
study
offers
facile
approach
synthesis
N-doped
carbon
materials
practical
applications.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(8), P. 2570 - 2570
Published: April 17, 2024
Bisphenol
A
(BPA)
has
been
classified
as
an
endocrine-disrupting
substance
that
may
cause
adverse
effects
on
human
health
and
the
environment.
The
development
of
simple
sensitive
electrochemical
biosensors
is
crucial
for
rapid
effective
quantitative
determination
BPA.
This
work
presents
a
study
sensors
utilizing
gold
nanoparticle-modified
multi-walled
carbon
nanotubes
(CNT/AuNPs).
Glassy
electrodes
(GCEs)
screen-printed
(SPEs)
were
conveniently
modified
used
BPA
detection.
AuNPs
electrodeposited
onto
CNT-modified
using
galvanostatic
method.
properly
characterized
by
Raman
spectroscopy,
cyclic
voltammetry
(CV),
impedance
analysis
(EIS).
response
was
studied
differential
pulse
(DPV)
constant
potential
amperometry
(CPA)
GCE
SPE
electrodes,
respectively,
main
analytical
parameters
optimized.
Problems
encountered
with
use
GCEs,
such
sensor
degradation
high
limit
detection
(LOD),
overcome
SPEs
flow
injection
device
measurements.
Under
this
approach,
LOD
low
5
nM
(S/N
=
3)
achieved
presented
linear
range
up
to
20
μM.
Finally,
our
investigation
addressed
interference,
reproducibility,
reusability
aspects,
successfully
identifying
in
both
spiked
authentic
samples,
including
commercial
tap
waters.
These
findings
underscore
practical
applicability
method
accurate
real-world
scenarios.
Notably,
integration
facilitated
simplified
automation,
offering
exceptionally
efficient
reliable
solution
precise
water
laboratories.
Chemosensors,
Journal Year:
2025,
Volume and Issue:
13(3), P. 87 - 87
Published: March 3, 2025
A
novel
material
composed
of
Au@SiO2-(3-Aminopropyl
Triethoxysilane)
(Au@SiO2-APTES)
was
successfully
synthesised
using
the
sol–gel
method,
and
used
to
modify
glassy
carbon
electrodes.
Its
effectiveness
as
a
molecular
recognition
element
is
evaluated
in
design
an
electrochemical
sensor
for
precise
detection
dopamine.
The
Au@SiO2-APTES
composite
analysed
Fourier
transform
infrared
spectroscopy,
scanning
electron
microscopy,
energy-dispersive
X-ray
diffraction.
Elemental
analysis
verified
presence
oxygen,
silicon,
gold,
with
atomic
percentages
around
77.19%,
21.12%,
1.65%,
respectively.
corresponding
elemental
mapping
showed
that
spatial
distribution
all
elements
fairly
homogeneous
throughout
composite,
indicating
Au
NPs
are
embedded
silica
structures.
Traces
dopamine
were
detected
by
differential
pulse
voltammetry
low
limit
(S/N
=
3)
quantification
10)
1.4
×
10−8
molL−1
4.7
molL−1,
had
two
linear
ranges:
from
1
10−7
1.25
8.75
molL−1.
Moreover,
outstanding
selectivity
even
various
potential
interfering
species.
It
also
demonstrated
good
reusability
signal
recovery
when
tested
human
urine
plasma
samples
spiked
different
concentrations.
sensor,
constructed
this
material,
shows
great
promise
selective
sensitive
biological
matrix.
These
results
underscore
sensor’s
capability
practical
application
analysing
real-world
samples.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(3), P. 612 - 612
Published: Jan. 21, 2025
The
standard
addition
method
is
widely
used
in
analytical
chemistry
to
compensate
for
matrix
effects.
While
effective
with
single
signals
(e.g.,
absorbance
at
a
wavelength)
and
independent
of
composition
or
blank
measurements,
it
has
limitations
high-dimensional
data
full
spectra).
Existing
methods
require
knowledge
the
restricting
their
applicability.
We
propose
novel
algorithm
that
works
without
requiring
measurements.
By
modifying
experimental
spectra)
before
applying
chemometric
models,
accurately
determines
analyte
concentrations
even
complex
matrices
like
seawater
food,
where
blanks
are
unavailable.
A
performance
evaluation
shows
compensates
effectively
effects,
outperforms
previously
published
algorithms
direct
applications
multivariate
algorithms,
robust
variations
SNR
effect
intensity.