Breath Analysis: An ACS Sensors Special Issue
ACS Sensors,
Год журнала:
2025,
Номер
10(3), С. 1505 - 1506
Опубликована: Март 28, 2025
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EditorialMarch
28,
2025Breath
Analysis:
An
Sensors
Special
IssueClick
copy
article
linkArticle
link
copied!Hohyung
Kang*Hohyung
KangDepartment
of
Chemical
Biomolecular
Engineering,
Korea
Advanced
Institute
Science
Technology,
291,
Daehak-ro,
Yuseong-gu,
Daejeon
34141,
Republic
Korea*Email:
[email
protected];
protected]More
by
Hohyung
Kanghttps://orcid.org/0000-0001-5373-4460Hee-Tae
Jung*Hee-Tae
JungDepartment
Hee-Tae
Junghttps://orcid.org/0000-0002-5727-6732Open
PDFACS
SensorsCite
this:
Sens.
2025,
10,
3,
1505–1506Click
citationCitation
copied!https://pubs.acs.org/doi/10.1021/acssensors.5c00717https://doi.org/10.1021/acssensors.5c00717Published
March
2025
Publication
History
Received
3
2025Published
online
28
in
issue
2025editorialCopyright
©
Published
American
Society.
available
under
these
Terms
Use.
Request
reuse
permissionsThis
licensed
for
personal
use
The
PublicationsCopyright
SocietySubjectswhat
are
subjects
Article
automatically
applied
from
the
Subject
Taxonomy
describe
scientific
concepts
themes
article.
Biomarkers
Cancer
Computational
chemistry
Gases
IssuePublished
as
part
special
"Breath
Sensing".The
average
adult
breathes
approximately
15
times
per
minute,
with
each
breath
composed
nitrogen,
oxygen,
carbon
dioxide,
water
vapor,
trace
amounts
volatile
organic
compounds
(VOCs)
other
inorganic
gases.
Every
exhalation
reflects
activity
numerous
metabolic
pathways,
carrying
vital
physiological
information.
There
about
3000
known
gases
human
breath,
variations
their
concentrations
can
serve
biomarkers
diverse
processes
diseases.
(1)
Breath
analysis
an
innovative
diagnostic
method
that
evaluates
chemical
composition
exhaled
assess
individual's
health.
While
conventional
methods
such
blood
tests,
biopsies,
endoscopy,
colonoscopy,
various
imaging
techniques
(e.g.,
X-rays,
magnetic
resonance
imaging,
computed
tomography)
provide
valuable
information,
they
often
require
considerable
time,
specialized
equipment,
professionals
diagnosis.
In
contrast,
noninvasive,
safe,
rapid,
cost-effective,
real-time,
portable,
making
it
a
convenient
attractive
diagnostics.
(2,3)However,
remains
clinical
validation
stage.
Unlike
gas
sensors
industrial
safety
or
environmental
monitoring
detect
at
higher
controlled
conditions,
must
operate
far
more
challenging
conditions.
Target
biomarker
typically
exist
parts-per-billion
(ppb)
within
31–35
°C,
65–89%
relative
humidity
(RH),
presence
interfering
makes
detection
akin
finding
needle
haystack.
Therefore,
several
challenges
be
addressed:
(i)
extremely
low
concentrations;
(ii)
interindividual
variability
diet,
health
sampling
methods,
patterns
considered;
(iii)
complexity
matrix
necessitates
enhanced
selectivity
pretreatment
during
ensure
accurate
analysis.
Thus,
exhibit
high
sensitivity,
selectivity,
resilience,
precision,
accuracy,
cost-effectiveness,
energy
efficiency
viable
applications.
(4)Currently,
gold
standard
chromatography–mass
spectrometry
(GC-MS)
due
its
precision
accuracy
detecting
minute
Nonetheless,
sensors,
including
solid-state,
optical,
electrochemical
types,
have
made
significant
progress
advancements
materials
science,
signal
processing,
hardware
engineering.
Studies
shown
elevated
acetone
diabetes
diagnosis
increased
nitric
oxide
asthma.
(5,6)
addition,
investigations
demonstrated
ability
disease
screening.
For
example,
methane
has
been
linked
colorectal
cancer;
ammonia
renal
failure,
oral
cavity
disease,
Helicobacter
pylori
infection;
ethane
cystic
fibrosis,
scleroderma,
Alzheimer's
atherosclerosis;
hydrogen
sulfide
halitosis
airway
inflammation;
carbonyl
liver
disease;
toluene
lung
methanol
breast
cancer
central
nervous
system
diseases;
isoprene
aldehydes
cancer,
tuberculosis,
Wilson's
cyanide
fibrosis.
(7−9)
Notably,
single
may
multiple
diseases,
while
given
might
characterized
impact
on
pathways.
identifying
origin
elucidating
relationship
specific
diseases
critical.
(10,11)To
advance
beyond
validation,
five
key
areas
further
development:
material
engineering,
(2)
(3)
(4)
mechanism
studies,
(5)
field
testing.
First,
engineering
requires
research
superior
sensitivity
humid
includes
screening
candidates,
employing
structural
modifications
stronger
analyte
interactions,
applying
protective
coatings
minimize
unwanted
reactions
selectively
targeting
Additionally,
rational
design
electronic
nose
systems
needed
improve
capturing
fingerprints
Second,
interpreting
complex
data
robust
processing
methods.
Both
mathematical
models
(such
principal
component
linear
discriminant
analysis)
advanced
machine
learning
(ML)
(including
convolutional
neural
networks,
random
forests,
autoencoders,
recurrent
networks)
should
explored
optimize
predictive
performance
reduce
variability.
Moreover,
addressing
"black
box"
nature
ML
explainable
AI,
feature
visualization,
rule
extraction
essential
enhance
interpretability
secure
trust.
Third,
developing
durable,
energy-efficient
Optimized
components,
electrodes
integrated
heaters,
measurement
reducing
power
consumption.
Advances
sensor
fabrication
improved
understanding
airflow
dynamics
also
necessary
reliable
measurements.
Fourth,
comprehensive
studies
determine
origins
gases,
establish
correlations
states,
refine
concentration
ranges
Finally,
real
sample
deeper
mechanistic
crucial
confirming
applicability
(12,13)To
foster
field,
presents
analysis,
featuring
total
36
state-of-the-art
contributions
spanning
identification,
technologies,
systematic
reviews
world-leading
experts.
covers
broad
spectrum
applications,
COVID-19,
Parkinson's
H.
infection,
chronic
obstructive
pulmonary
diabetes,
It
highlights
electrochemical,
surface
acoustic
wave
well
improvements
accuracy.
Furthermore,
topics
wearable
catalysts
Raman-based
COVID-19
guidance
future
research.
We
hope
collection
will
innovation
inspire
new
breakthroughs
Given
multidisciplinary
welcomes
novel
ideas
innovations
address
unresolved
questions
limitations.Dr.
KangKorea
Daejeon,
KoreaHee-Tae
Jung,
Associate
Editor,
SensorsKorea
KoreaAuthor
InformationClick
section
linkSection
copied!Corresponding
AuthorsHohyung
Kang,
Research
Associate,
Department
Korea,
https://orcid.org/0000-0001-5373-4460,
Email:
protected]
protected]Hee-Tae
Sensors,
https://orcid.org/0000-0002-5727-6732,
protected]NotesViews
expressed
editorial
those
authors
not
necessarily
views
ACS.ReferencesClick
copied!
references
13
publications.
1Buszewski,
B.;
Kęsy,
M.;
Ligor,
T.;
Amann,
A.
Human
Exhaled
Air
Analytics:
Diseases.
Biomedical
Chromatography
2007,
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553–
566,
DOI:
10.1002/bmc.835
Google
Scholar1Human
air
analytics:
diseasesBuszewski,
Boguslaw;
Kesy,
Martyna;
Tomasz;
AntonBiomedical
(2007),
553-566CODEN:
BICHE2;
ISSN:0269-3879.
(John
Wiley
&
Sons
Ltd.)
A
review.
Over
last
few
years,
anal.
routine
disorders
attracted
amt.
interest,
esp.
since
non-invasive
technique,
totally
painless
agreeable
patients.
investigation
samples
correlation
between
concn.
org.
compds.
occurrence
certain
modern
instruments
allow
detn.
many
found
both
normal
anomalous
concns.
compn.
patients
with,
inflammatory
hepatic
dysfunction
contains
quantification
oxidative
stress,
surgery
based
progress.
paper
gives
overview
used
collection,
preconcn.
potential
different
disease-marking
substances
selection
clin.
applications
discussed.
>>
SciFinder
®https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BD2sXntVSjtrY%253D&md5=bc3f7302ea0107b2861030c86c6d1a3b2Amann,
A.;
Costello,
B.
de
L.;
Miekisch,
W.;
Schubert,
J.;
Buszewski,
Pleil,
Ratcliffe,
N.;
Risby,
T.
Volatilome:
Volatile
Organic
Compounds
Breath,
Skin
Emanations,
Urine,
Feces
Saliva.
J.
Res.
2014,
8
(3),
034001,
10.1088/1752-7155/8/3/034001
Scholar2The
volatilome:
skin
emanations,
urine,
feces
salivaAmann,
Anton;
Lacy
Ben;
Wolfram;
Jochen;
Joachim;
Norman;
TerenceJournal
(2014),
034001CODEN:
JBROBW;
ISSN:1752-7155.
(IOP
Publishing
young
roots
antiquity.
Antoine
Lavoisier
discovered
dioxide
period
1777-1783,
Wilhelm
(Vilem)
Petters
1857
Johannes
Muller
reported
first
quant.
measurements
1898.
recent
review
1765
appearing
saliva,
milk,
feces.
large
no.
compds.,
real-time
emanations
performed,
e.g.,
exertion
effort
stationary
bicycle
sleep.
which
record
historical
exposure,
called
exposome.
Changes
biogenic
compd.
mirror
(patho)physiol.
whole
body
drugs
(e.g.
propofol)
settings,
even
artificial
ventilation
surgery.
Also
released
bacterial
strains
like
Pseudomonas
aeruginosa
Streptococcus
pneumonia
could
very
interesting.
Me
methacrylate
(CAS
80-62-6),
was
obsd.
headspace
up
1420
ppb.
Fecal
volatiles
implicated
differentiating
infectious
bowel
Clostridium
difficile,
Campylobacter,
Salmonella
Cholera.
They
differentiate
non-infectious
conditions
irritable
syndrome
disease.
addn.,
alterations
urine
urinary
tract
infections,
bladder,
prostate
cancers.
Peroxidn.
lipids
biomols.
reactive
oxygen
species
produce
1-pentane.
Noninvasive
therapeutic
stress
would
highly
desirable
autoimmunol.,
neurol.,
but
intensive
care
units.
study
cell
cultures
opens
possibilities
elucidation
biochem.
background
combined
particular
regard
matrixes
saliva
culture
lead
field.
®https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BC2cXhvV2jt77E&md5=65901e0c2c4e746efdca763d468ecb063Jung,
H.-T.
Present
Future
Gas
Sensors.
Sens
2022,
7
(4),
912–
913,
10.1021/acssensors.2c00688
Scholar3The
SensorsJung,
Hee-TaeACS
(2022),
912-913CODEN:
ASCEFJ;
ISSN:2379-3694.
(American
Society)
present
sensors.
®https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BB38XhtVShtbjM&md5=85183d155224b0a59c5fe6f95efc34f74Liu,
K.;
Lin,
Zhao,
Z.;
Zhang,
Yang,
S.
Rational
Design
Application
Healthcare
Monitoring.
10
(1),
15–
32,
10.1021/acssensors.4c02313
ScholarThere
no
corresponding
reference.5Wang,
C.;
Sahay,
P.
Analysis
Using
Laser
Spectroscopic
Techniques:
Biomarkers,
Spectral
Fingerprints,
Detection
Limits.
2009,
9
(10),
8230–
8262,
10.3390/s91008230
Scholar5Breath
using
laser
spectroscopic
techniques:
biomarkers,
spectral
fingerprints,
limitsWang,
Chuji;
PeeyushSensors
(2009),
8230-8262CODEN:
SENSC9;
ISSN:1424-8220.
(Molecular
Diversity
Preservation
International)
anal.,
promising
medicine
medical
instrumentation,
potentially
offers
point-of-care
(POC)
diagnostics
status
monitoring.
Numerous
detected
quantified
so
GC-MS
technique.
Recent
advances
sources
driven
heights,
moving
lab.
com.
reality.
only
high-sensitivity
high-selectivity,
equivalently
offered
MS-based
techniques,
advantageous
features
near
response,
instrument
costs,
POC
function.
Of
approx.
35
established
acetone,
ammonia,
ethane,
methane,
oxide,
14
analyzed
namely,
tunable
diode
absorption
spectroscopy
(TDLAS),
ring
down
(CRDS),
output
(ICOS),
(CEAS),
leak-out
(CALOS),
photoacoustic
(PAS),
quartz-enhanced
(QEPAS),
optical
frequency
comb
cavity-enhanced
(OFC-CEAS).
measured
span
UV
mid-IR
regions
limits
achieved
range
ppm
ppb
levels.
etc.
available.
update
latest
developments
laser-based
®https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BD1MXhtlakurnI&md5=b14f7899eec1357f8906a62ab88423156Owen,
O.
E.;
Trapp,
V.
Skutches,
C.
Mozzoli,
M.
Hoeldtke,
R.
D.;
Boden,
G.;
Reichard,
G.
A.,
Jr.
Acetone
Metabolism
During
Diabetic
Ketoacidosis.
Diabetes
1982,
31
242–
248,
10.2337/diab.31.3.242
reference.7Selvaraj,
R.;
Vasa,
N.
Nagendra,
S.;
Mizaikoff,
Mid-Infrared
Spectroscopy-Based
Sensing
Techniques
Diagnostics.
Molecules
2020,
25
(9),
2227,
10.3390/molecules25092227
reference.8Kang,
H.;
Joo,
Choi,
Kim,
Y.-J.;
Lee,
Y.;
Cho,
S.-Y.;
Top-Down
Approaches
Nm-Scale
Nanochannel:
Toward
Exceptional
H2S
Detection.
Nano
16
17210–
17219,
10.1021/acsnano.2c07785
Scholar8Top-Down
nm-Scale
DetectionKang,
Hohyung;
Heeeun;
Junghoon;
Yong-Jae;
Yullim;
Soo-Yeon;
17210-17219CODEN:
ANCAC3;
ISSN:1936-0851.
Metal
semiconductors
(MOS)
proven
most
powerful
sensing
(H2S),
achieving
billion
level
selectivity.
However,
there
way
extending
approach
top-down
process,
completely
limiting
com.-level
productions.
study,
we
developed
lithog.
process
nm-scale
SnO2
nanochannel
prodn.
Due
high-resoln.
(15
nm
thickness)
aspect
ratio
(>20)
structures,
exhibited
sensitive
performances
(Ra/Rg
=
116.62,
τres
s
0.5
ppm)
(RH2S/Racetone
23
against
5
acetone).
efficiently
sensitized
p-n
heterojunction
without
any
postmodification
addnl.
one-step
As
drastically
NiO
nanoheterojunction
166.2,
ppm),
showing
highest
date
These
results
constitute
high-throughput
platform
commercialize
accelerate
development
time
interface
real-life
situations.
®https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BB38XisF2kurnM&md5=5187fd1ee24d2b394e8d5917b1d2cb309Vm,
Yerevan
State
University
YSU,
1
Alex
Manoukian
Oxide
Diseases
Medical
Health
Applications.
BJSTR
29
(2),
22328–
22336,
10.26717/BJSTR.2020.29.004780
reference.10Chaudhary,
V.;
Taha,
Lucky;
Rustagi,
Khosla,
Papakonstantinou,
P.;
Bhalla,
Nose-on-Chip
Nanobiosensors
Early
Lung
Biomarkers.
2024,
4469–
4494,
10.1021/acssensors.4c01524
reference.11Güntner,
Abegg,
Königstein,
Gerber,
Schmidt-Trucksäss,
Pratsinis,
E.
2019,
4
268–
280,
10.1021/acssensors.8b00937
reference.12Li,
Wei,
X.;
Zhou,
Wang,
You,
Progress
Electronic
Nose
Technology
Disease
Analysis.
Microsyst
Nanoeng
2023,
1–
22,
10.1038/s41378-023-00594-0
reference.13Cho,
Ryu,
H.-T.;
Finding
Hidden
Signals
Deep
Learning.
Anal.
Chem.
92
6529–
6537,
10.1021/acs.analchem.0c00137
Scholar13Finding
LearningCho,
Youhan;
Sangwon;
Jaehoon;
Jin;
Hee-Tae;
JihanAnalytical
Chemistry
(Washington,
DC,
United
States)
(2020),
6529-6537CODEN:
ANCHAM;
ISSN:0003-2700.
Achieving
signal-to-noise
chem.
biol.
enables
target
analytes.
Unfortunately,
below
limit
(LOD),
becomes
difficult
small
amts.
analytes
ext.
useful
information
via
work,
examine
possibility
extg.
"hidden
signals"
deep
network
LOD
region.
test
case
system,
conduct
expts.
H2
six
metallic
channels
(Au,
Cu,
Mo,
Ni,
Pt,
Pd)
demonstrate
capabilities
LOD.
technique
universally
types
Our
hidden
signals,
next-generation
®https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BB3cXntVKlsLw%253D&md5=ec5b1b29b97539145b865441e1eaac13Cited
By
Click
copied!This
yet
cited
publications.Download
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e-AlertsGet
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copied!https://doi.org/10.1021/acssensors.5c00717Published
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FiguresReferencesThis
figures.References
1Human
2The
3The
5Breath
8Top-Down
13Finding
®https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BB3cXntVKlsLw%253D&md5=ec5b1b29b97539145b865441e1eaac13
Язык: Английский
Chemical Sensors and Biosensors for Point-of-Care Testing of Pets: Opportunities for Individualized Diagnostics of Companion Animals
ACS Sensors,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 22, 2025
Point-of-care
testing
(POCT)
is
recognized
as
one
of
the
most
disruptive
medical
technologies
for
rapid
and
decentralized
diagnostics.
Successful
commercial
examples
include
portable
glucose
meters,
pregnancy
tests,
COVID-19
self-tests.
However,
compared
to
advancements
in
human
healthcare,
POCT
companion
animals
(pets)
remain
significantly
underdeveloped.
This
Review
explores
latest
pet
examines
challenges
opportunities
field
individualized
diagnostics
cats
dogs.
The
frequent
diseases
their
respective
biomarkers
blood,
urine,
saliva
are
discussed.
We
examine
key
strategies
developing
next-generation
devices
by
harnessing
potential
selective
(bio)receptors
high-performing
transducers
such
lateral
flow
tests
electrochemical
(bio)sensors.
also
present
recent
research
initiatives
successful
technologies.
discuss
future
trends
field,
role
biomarker
discovery
development
wearable,
implantable,
breath
sensors.
believe
that
advancing
benefits
not
only
but
humans
environment,
supporting
One
Health
approach.
Язык: Английский