Magnetic Resonance in Chemistry,
Journal Year:
2023,
Volume and Issue:
61(12), P. 628 - 653
Published: April 3, 2023
Metabolomics
samples
like
human
urine
or
serum
contain
upwards
of
a
few
thousand
metabolites,
but
individual
analytical
techniques
can
only
characterize
hundred
metabolites
at
best.
The
uncertainty
in
metabolite
identification
commonly
encountered
untargeted
metabolomics
adds
to
this
low
coverage
problem.
A
multiplatform
(multiple
techniques)
approach
improve
upon
the
number
reliably
detected
and
correctly
assigned.
This
be
further
improved
by
applying
synergistic
sample
preparation
along
with
use
combinatorial
sequential
non-destructive
destructive
techniques.
Similarly,
peak
detection
strategies
that
employ
multiple
probabilistic
approaches
have
led
better
annotation
decisions.
Applying
these
also
addresses
issues
reproducibility
found
single
platform
methods.
Nevertheless,
analysis
large
data
sets
from
disparate
presents
unique
challenges.
While
general
processing
workflow
is
similar
across
platforms,
many
software
packages
are
fully
capable
types
instrument.
Traditional
statistical
methods
such
as
principal
component
were
not
designed
handle
multiple,
distinct
sets.
Instead,
multivariate
requires
multiblock
other
model
for
understanding
contribution
instruments.
review
summarizes
advantages,
limitations,
recent
achievements
metabolomics.
Metabolomics,
Journal Year:
2018,
Volume and Issue:
14(6)
Published: May 18, 2018
Quality
assurance
(QA)
and
quality
control
(QC)
are
two
management
processes
that
integral
to
the
success
of
metabolomics
including
their
application
for
acquisition
high
data
in
any
high-throughput
analytical
chemistry
laboratory.
QA
defines
all
planned
systematic
activities
implemented
before
samples
collected,
provide
confidence
a
subsequent
process
will
fulfil
predetermined
requirements
quality.
QC
can
be
defined
as
operational
techniques
used
measure
report
these
after
acquisition.
This
tutorial
review
guide
reader
through
use
system
suitability
samples,
why
should
applied
how
reported.
System
assess
operation
lack
contamination
platform
prior
sample
analysis.
Isotopically-labelled
internal
standards
stability
each
analysed.
Pooled
condition
platform,
perform
intra-study
reproducibility
measurements
correct
mathematically
errors.
Standard
reference
materials
long-term
inter-study
inter-laboratory
assessment
data.
Critical Reviews in Food Science and Nutrition,
Journal Year:
2020,
Volume and Issue:
61(9), P. 1448 - 1469
Published: May 22, 2020
As
one
of
the
omics
fields,
metabolomics
has
unique
advantages
in
facilitating
understanding
physiological
and
pathological
activities
biology,
physiology,
pathology,
food
science.
In
this
review,
based
on
developments
analytical
chemistry
tools,
cheminformatics,
bioinformatics
methods,
we
highlight
current
applications
safety,
authenticity
quality,
traceability.
Additionally,
combined
use
with
other
techniques
for
"foodomics"
is
comprehensively
described.
Finally,
latest
advances,
practical
challenges
limitations,
requirements
related
to
application
are
critically
discussed,
providing
new
insight
into
analysis.
Environment International,
Journal Year:
2020,
Volume and Issue:
139, P. 105545 - 105545
Published: April 29, 2020
Large-scale
suspect
and
non-targeted
screening
approaches
based
on
high-resolution
mass
spectrometry
(HRMS)
are
today
available
for
chemical
profiling
holistic
characterisation
of
biological
samples.
These
advanced
techniques
allow
the
simultaneous
detection
a
large
number
features,
including
markers
human
exposure.
Such
interest
biomonitoring,
environmental
health
studies
support
to
risk
assessment.
Furthermore,
these
have
promising
capability
detect
chemicals
emerging
concern
(CECs),
document
extent
exposure,
generate
new
research
hypotheses
provide
early
warning
policy.
Whilst
growing
importance
in
environment
food
safety
areas,
respectively,
CECs
remain
poorly
addressed
field
biomonitoring.
This
shortfall
is
due
several
scientific
methodological
reasons,
global
lack
harmonisation.
In
this
context,
main
aim
paper
present
an
overview
basic
principles,
promises
challenges
applied
samples
as
specific
introduce
major
specificities
compared
other
fields.
Focused
liquid
chromatography
coupled
HRMS-based
data
acquisition
methods,
addresses
all
steps
analytical
workflows.
Beyond
general
picture,
activities
carried
out
topic
within
particular
framework
European
Human
Biomonitoring
initiative
(project
HBM4EU,
2017–2021)
described,
with
emphasis
harmonisation
measures.
Bioanalysis,
Journal Year:
2019,
Volume and Issue:
11(24), P. 2297 - 2318
Published: Dec. 1, 2019
Metabolomics
is
the
comprehensive
study
of
small-molecule
metabolites.
Obtaining
a
wide
coverage
metabolome
challenging
because
broad
range
physicochemical
properties
small
molecules.
To
compounds
interest
spectroscopic
(NMR),
spectrometric
(MS)
and
separation
techniques
(LC,
GC,
supercritical
fluid
chromatography,
CE)
are
used.
The
choice
for
given
technique
influenced
by
sample
matrix,
concentration
metabolites,
amount
sample.
This
review
discusses
most
commonly
used
analytical
metabolomic
studies,
including
their
advantages,
drawbacks
some
applications.
Metabolites,
Journal Year:
2019,
Volume and Issue:
9(8), P. 156 - 156
Published: July 25, 2019
Metabolomics
provides
a
comprehensive
assessment
of
numerous
small
molecules
in
biological
samples.
As
it
integrates
the
effects
exogenous
exposures,
endogenous
metabolism,
and
genetic
variation,
metabolomics
is
well-suited
for
studies
examining
metabolic
profiles
associated
with
variety
chronic
diseases.
In
this
review,
we
summarize
that
have
characterized
various
pre-analytical
factors
on
both
targeted
untargeted
metabolomic
involving
human
plasma,
serum,
urine
were
published
through
14
January
2019.
A
standardized
protocol
was
used
extracting
data
from
full-text
articles
identified
by
searching
PubMed
EMBASE.
For
plasma
serum
samples,
affected
fasting
status,
hemolysis,
collection
time,
processing
delays,
particularly
at
room
temperature,
repeated
freeze/thaw
cycles.
time
fasting,
centrifugation
conditions,
filtration
use
additives,
normalization
procedures
multiple
cycles
found
to
alter
findings.
Consideration
important
issue
epidemiological
where
samples
are
often
collected
nonclinical
settings
locations
subjected
temperature
delays
prior
being
processed
frozen
storage.
Metabolomics,
Journal Year:
2022,
Volume and Issue:
18(9)
Published: Aug. 27, 2022
Abstract
Background
Demonstrating
that
the
data
produced
in
metabolic
phenotyping
investigations
(metabolomics/metabonomics)
is
of
good
quality
increasingly
seen
as
a
key
factor
gaining
acceptance
for
results
such
studies.
The
use
established
control
(QC)
protocols,
including
appropriate
QC
samples,
an
important
and
evolving
aspect
this
process.
However,
inadequate
or
incorrect
reporting
QA/QC
procedures
followed
study
may
lead
to
misinterpretation
overemphasis
findings
prevent
future
metanalysis
body
work.
Objective
aim
guidance
provide
researchers
with
framework
encourages
them
describe
assessment
outcomes
mass
spectrometry
nuclear
magnetic
resonance
spectroscopy-based
methods
untargeted
metabolomics,
focus
on
samples
sufficient
detail
be
understood,
trusted
replicated.
There
no
intent
proscriptive
regard
analytical
best
practices;
rather,
suggested.
A
template
can
completed
studies
progress
ensure
relevant
collected,
further
documents,
are
provided
on-line
resources.
Key
practices
Multiple
topics
should
considered
when
protocols
data.
Coverage
include
role(s),
sources,
types,
preparation
uses
materials
generally
employed
generation
metabolomic
Details
sample
matrices
preparation,
test
mixtures
system
suitability
tests,
blanks
technique-specific
factors
discussed,
importance
criteria
QCs.
To
end,
at
two
levels
detail:
“minimal”
“best
practice”
levels.
Metabolomics,
Journal Year:
2022,
Volume and Issue:
18(4)
Published: April 1, 2022
Abstract
Introduction
The
metabolomics
quality
assurance
and
control
consortium
(mQACC)
is
enabling
the
identification,
development,
prioritization,
promotion
of
suitable
reference
materials
(RMs)
to
be
used
in
(QA)
(QC)
for
untargeted
research.
Objectives
This
review
aims
highlight
current
RMs,
methodologies
within
lipidomics
communities
ensure
standardization
results
obtained
from
data
analysis,
interpretation
cross-study,
cross-laboratory
comparisons.
essence
also
applicable
other
‘omics
areas
that
generate
high
dimensional
data.
Results
potential
game-changing
biochemical
discoveries
through
mass
spectrometry-based
(MS)
are
predicated
on
evolution
more
confident
qualitative
(and
eventually
quantitative)
research
laboratories.
RMs
thus
critical
QC
tools
able
assure
standardization,
comparability,
repeatability
reproducibility
interpretation,
compare
across
studies
multiple
Standard
operating
procedures
(SOPs)
promote,
describe
exemplify
use
will
improve
communities.
Conclusions
application
described
this
may
significantly
support
continued
development
deployment
new
together
with
interlaboratory
educational
outreach
training,
further
promote
sound
QA
practices
community.
Frontiers in Molecular Biosciences,
Journal Year:
2024,
Volume and Issue:
10
Published: Jan. 8, 2024
Exhaled
breath
analysis,
with
particular
emphasis
on
volatile
organic
compounds,
represents
a
growing
area
of
clinical
research
due
to
its
obvious
advantages
over
other
diagnostic
tests.
Numerous
pathologies
have
been
extensively
investigated
for
the
identification
specific
biomarkers
in
exhalates
through
metabolomics.
However,
transference
tests
clinics
remains
limited,
mainly
deficiency
methodological
standardization.
Critical
steps
include
selection
sample
types,
collection
devices,
and
enrichment
techniques.
GC-MS
is
reference
analytical
technique
analysis
compounds
exhalates,
especially
during
biomarker
discovery
phase
This
review
comprehensively
examines
compares
metabolomic
studies
focusing
cancer,
lung
diseases,
infectious
diseases.
In
addition
delving
into
experimental
designs
reported,
it
also
provides
critical
discussion
aspects,
ranging
from
design
potential
pathology-specific
biomarkers.