A non-enzymatic glucose sensor construct from 3D core-shell structure of NiCo layered double hydroxide coated Ag nanowires based on screen printing electrode
Applied Surface Science,
Год журнала:
2025,
Номер
690, С. 162627 - 162627
Опубликована: Фев. 4, 2025
Язык: Английский
Six-branched Cu2O@Cu micro-crystals with enhanced and multifunctional sensor performances
Microchemical Journal,
Год журнала:
2025,
Номер
unknown, С. 112910 - 112910
Опубликована: Янв. 1, 2025
Язык: Английский
Highly sensitive non-invasive glucose sensing based on chitosan-coated MXene/NiCo-LDH composites
Jingwen Yin,
Hongteng Zhang,
Yue Wang
и другие.
Journal of Electroanalytical Chemistry,
Год журнала:
2025,
Номер
unknown, С. 119064 - 119064
Опубликована: Март 1, 2025
Язык: Английский
Graphene/amorphous MIL-101(Cr)-NH2 double layer composite for nonenzymatic sweat glucose sensing by voltammetry and chronoamperometry
Microchemical Journal,
Год журнала:
2025,
Номер
unknown, С. 113560 - 113560
Опубликована: Апрель 1, 2025
Язык: Английский
A highly sensitive non-enzymatic glucose sensor based on coral-like Cu/nickel foam bimetallic structure
Jiamu Li,
Xin Ban,
Aijia Sun
и другие.
Materials Today Communications,
Год журнала:
2025,
Номер
unknown, С. 112791 - 112791
Опубликована: Май 1, 2025
Язык: Английский
Biomimic models for in vitro glycemic index: Scope of sensor integration and artificial intelligence
Food Chemistry X,
Год журнала:
2024,
Номер
25, С. 102132 - 102132
Опубликована: Дек. 30, 2024
The
accurate
quantification
of
glycemic
index
(GI)
remains
crucial
for
diabetes
management,
yet
current
methodologies
are
constrained
by
resource
intensiveness
and
methodological
limitations.
In
vitro
digestion
models
face
challenges
in
replicating
the
dynamic
conditions
human
gastrointestinal
tract,
such
as
enzyme
variability
multi-time
point
analysis,
leading
to
suboptimal
predictive
accuracy.
This
review
proposes
an
integrated
technological
framework
combining
non-enzymatic
electrochemical
sensing
with
artificial
intelligence
revolutionize
GI
assessment.
Non-enzymatic
sensors
offer
superior
stability
repeatability
complex
matrices,
enabling
real-time
glucose
across
multiple
timepoints
without
degradation
constraints.
Machine
learning
algorithms,
both
supervised
unsupervised,
enhance
accuracy
elucidating
relationships
within
data.
convergence
represents
a
paradigm
shift
food
science
analytics,
promising
improved
throughput
precision
Future
developments
should
focus
on
system
scalability
broader
applications
nutritional
science,
advancing
diabetic
management
personalized
nutrition
strategies.
Язык: Английский
Electrochemical Sensors and Biosensors for the Determination of Food Nutritional and Bioactive Compounds: Recent Advances
Sensors,
Год журнала:
2024,
Номер
24(20), С. 6588 - 6588
Опубликована: Окт. 12, 2024
The
significance
of
food
nutrients
and
bioactive
compounds
in
human
health
has
driven
the
development
many
methods
for
their
determination
different
matrices.
Among
these,
electroanalysis
gained
popularity
due
to
its
cost-effectiveness,
rapidity,
and,
cases,
portability
minimal
sample
treatment.
This
review
highlights
key
advances
electrochemical
sensors
biosensors
from
2019
present.
Given
variability
challenges
managing
matrices,
focus
is
limited
that
have
been
thoroughly
assessed
applicability
real
samples.
technical
characteristics
analytical
performance
proposed
are
discussed,
along
with
breakthrough
features
future
trends.
Язык: Английский