Response to letter to the Editor from Y. Takefuji on “Beyond principal component analysis: Enhancing feature reduction in electronic noses through robust statistical methods”
Zichen Zheng,
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Kewei Liu,
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Yiwen Zhou
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et al.
Trends in Food Science & Technology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 104918 - 104918
Published: Feb. 1, 2025
Language: Английский
Exploration of Simulated Human Olfactory System and Its Integration With Machine Learning Algorithms for Food Quality Assessment: A Review
Shilpa Gite,
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Moumita Karmakar,
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S.D. Mokashi
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et al.
Trends in Food Science & Technology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 104977 - 104977
Published: March 1, 2025
Language: Английский
Breathomics: A Non-Invasive Approach for the Diagnosis of Breast Cancer
Hélène Yockell-Lelièvre,
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Romy Philip,
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Prakruthi Kaushik
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et al.
Bioengineering,
Journal Year:
2025,
Volume and Issue:
12(4), P. 411 - 411
Published: April 12, 2025
Breast
cancer
is
the
most
commonly
diagnosed
worldwide,
underscoring
critical
need
for
effective
early
detection
methods
to
reduce
mortality.
Traditional
techniques,
such
as
mammography,
present
significant
limitations,
particularly
in
women
with
dense
breast
tissue,
highlighting
alternative
screening
approaches.
Breathomics,
based
on
analysis
of
Volatile
Organic
Compounds
(VOCs)
exhaled
breath,
offers
a
non-invasive,
potentially
transformative
diagnostic
tool.
These
VOCs
are
metabolic
byproducts
from
various
organs
human
body
whose
presence
and
varying
concentrations
breath
reflective
different
health
conditions.
This
review
explores
potential
breathomics,
its
promise
rapid,
cost-effective
approach
cancer,
facilitated
through
integration
portable
solutions
like
electronic
noses
(e-noses).
Key
considerations
clinical
translation—including
patient
selection,
environmental
confounders,
collection
methods—will
be
examined
terms
how
each
them
affects
profile.
However,
there
also
challenges
variability
VOC
signatures,
standardization
sampling
protocols.
Future
research
should
prioritize
standardizing
analytical
procedures
validating
their
utility
large-scale
trials.
Language: Английский
Effects of Au Addition on the Performance of Thermal Electronic Noses Based on Porous Cu2O–SnO2 Nanospheres
Matteo Tonezzer,
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Taro Ueda,
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Soichiro Torai
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et al.
Nanomaterials,
Journal Year:
2024,
Volume and Issue:
14(24), P. 2052 - 2052
Published: Dec. 22, 2024
The
electronic
nose
is
an
increasingly
useful
tool
in
many
fields
and
applications.
Our
thermal
approach,
based
on
nanostructured
metal
oxide
chemiresistors
a
gradient,
has
the
advantage
of
being
tiny
therefore
integrable
portable
wearable
devices.
Obviously,
wise
choice
nanomaterial
crucial
for
device’s
performance
should
be
carefully
considered.
Here
we
show
how
addition
different
amounts
Au
(between
1
5
wt%)
Cu2O–SnO2
nanospheres
affects
performance.
Interestingly,
best
not
achieved
with
material
offering
highest
intrinsic
selectivity.
This
confirms
importance
specific
studies,
since
chemoresistive
gas
sensors
does
linearly
affect
nose.
By
optimizing
amount
Au,
device
perfect
classification
tested
gases
(acetone,
ethanol,
toluene)
good
concentration
estimation
(with
mean
absolute
percentage
error
around
16%).
These
performances,
combined
potentially
smaller
dimensions
less
than
0.5
mm2,
make
this
ideal
candidate
numerous
applications,
such
as
agri-food,
environmental,
biomedical
sectors.
Language: Английский