Communications Chemistry,
Journal Year:
2023,
Volume and Issue:
6(1)
Published: Dec. 13, 2023
Abstract
Feedstock
properties
play
a
crucial
role
in
thermal
conversion
processes,
where
understanding
the
influence
of
these
on
treatment
performance
is
essential
for
optimizing
both
feedstock
selection
and
overall
process.
In
this
study,
series
van
Krevelen
diagrams
were
generated
to
illustrate
impact
H/C
O/C
ratios
products
obtained
from
six
commonly
used
techniques:
torrefaction,
hydrothermal
carbonization,
liquefaction,
gasification,
pyrolysis,
gasification.
Machine
learning
methods
employed,
utilizing
data,
methods,
results
corresponding
studies
field.
Furthermore,
reliability
constructed
was
analyzed
assess
their
dependability.
The
developed
work
systematically
provide
visual
representations
relationships
between
thereby
aiding
choice
technique.
ACS Omega,
Journal Year:
2020,
Volume and Issue:
5(20), P. 11730 - 11736
Published: May 14, 2020
Electrospray
ionization
(ESI)
coupled
with
Fourier
transform
ion
cyclotron
resonance
mass
spectrometry
(FT-ICR
MS)
has
been
widely
used
for
molecular
characterization
of
dissolved
organic
matter
(DOM).
However,
ESI
FT-ICR
MS
generally
poor
repeatability
and
reproducibility
because
its
inherent
mechanism
structural
characteristics,
which
severely
hindered
application
in
quantitative
analysis
complex
mixtures.
In
this
article,
we
developed
an
in-house
standard
method
DOM
by
MS.
Instead
obtaining
reproducible
results
determining
the
instrument
parameters,
adopted
approach
object
control
on
spectrum
to
solve
problem
reproducibility.
The
peak
shape,
resolution,
relative
intensity
distribution
a
natural
were
adjusted
optimizing
operating
conditions
obtain
repeatable
result.
quality
sample
was
run
26
times
different
operators
6-month-long
period
evaluate
Results
showed
that
deviation
(%)
are
1.02
2.35
average
H/C,
respectively.
validated
successfully
more
than
4000
samples,
is
transferable
other
laboratories.
Environmental Science & Technology,
Journal Year:
2021,
Volume and Issue:
55(14), P. 9637 - 9656
Published: July 7, 2021
The
biogeochemical
cycling
of
soil
organic
matter
(SOM)
plays
a
central
role
in
regulating
health,
water
quality,
carbon
storage,
and
greenhouse
gas
emissions.
Thus,
many
studies
have
been
conducted
to
reveal
how
anthropogenic
climate
variables
affect
sequestration
nutrient
cycling.
Among
the
analytical
techniques
used
better
understand
speciation
transformation
SOM,
Fourier
transform
ion
cyclotron
resonance
mass
spectrometry
(FTICR
MS)
is
only
technique
that
has
sufficient
resolving
power
separate
accurately
assign
elemental
compositions
individual
SOM
molecules.
global
increase
application
FTICR
MS
address
complexity
highlighted
challenges
opportunities
associated
with
sample
preparation,
analysis,
spectral
interpretation.
Here,
we
provide
critical
review
recent
strategies
for
characterization
by
emphasis
on
collection,
data
Data
processing
visualization
methods
are
presented
suggested
workflows
detail
considerations
needed
molecular
information
derived
from
MS.
Finally,
highlight
current
research
gaps,
biases,
future
directions
improve
our
understanding
chemistry
within
terrestrial
ecosystems.
Limnology and Oceanography Methods,
Journal Year:
2020,
Volume and Issue:
18(6), P. 235 - 258
Published: June 1, 2020
Abstract
High‐resolution
mass
spectrometry
(HRMS)
has
become
a
vital
tool
for
dissolved
organic
matter
(DOM)
characterization.
The
upward
trend
in
HRMS
analysis
of
DOM
presents
challenges
data
comparison
and
interpretation
among
laboratories
operating
instruments
with
differing
performance
user
conditions.
It
is
therefore
essential
that
the
community
establishes
metric
ranges
compositional
trends
reference
samples
so
can
be
robustly
compared
research
groups.
To
this
end,
four
identically
prepared
were
each
measured
by
16
laboratories,
using
17
commercially
purchased
instruments,
positive‐ion
negative‐ion
mode
electrospray
ionization
(ESI)
analyses.
identified
~1000
common
ions
both
negative‐
modes
over
wide
range
m
/
z
values
chemical
space,
as
determined
van
Krevelen
diagrams.
Calculated
metrics
abundance‐weighted
average
indices
(H/C,
O/C,
aromaticity,
)
commonly
detected
showed
hydrogen
saturation
aromaticity
consistent
sample
across
while
oxygenation
more
affected
differences
instrument
type
settings.
In
paper
we
present
32
future
benchmarking.
obtained
different
parameters
from
two
used
work
to
evaluate
instruments.
Carbon Research,
Journal Year:
2022,
Volume and Issue:
1(1)
Published: June 18, 2022
Abstract
Exploring
the
source,
transformation
pathways,
and
fate
of
natural
organic
matter
(NOM)
is
critical
to
understanding
regional/global
carbon
cycle
budget.
The
dissolved
fraction
NOM,
i.e.,
(DOM),
a
complex
mixture
resulting
from
plant,
animal
microbial
plays
crucial
role
in
many
biogeochemical
processes
at
land-ocean-atmosphere
interfaces.
advance
Fourier
transform
ion
cyclotron
resonance
mass
spectrometer
(FT-ICR
MS)
makes
detailed
characterization
DOM
molecular
level
possible.
On
other
hand,
elucidation
sample
also
presents
significant
analytical
challenges,
these
challenges
act
as
driving
force
for
instrumentation
methodology
development
on
FT-ICR
MS.
This
review
article
has
been
written
aid
those
working
biogeochemistry,
environmental
atmospheric
chemistry,
related
areas
which
investigate
elemental
cycles
transformations.
First,
fundamental
theory,
historical
perspective,
recent
advances
field
have
introduced.
geological
samples
continues
present
it
become
experimental
methods.
These
achievements
analysis
had
an
impact
upon
fields
science,
geochemistry,
chemistry.
Next,
varieties
applications
MS
described,
followed
by
our
view
future
this
technique
earth
science
research.
We
believe
that
covers
essential
pairing
collectively
offers
geochemical
scientists
substantial
resource
their
Graphical
abstract
Nature Communications,
Journal Year:
2020,
Volume and Issue:
11(1)
Published: Dec. 11, 2020
Abstract
Environmental
metabolomes
are
fundamentally
coupled
to
microbially-linked
biogeochemical
processes
within
ecosystems.
However,
significant
gaps
exist
in
our
understanding
of
their
spatiotemporal
organization,
limiting
ability
uncover
transferrable
principles
and
predict
ecosystem
function.
We
propose
that
a
theoretical
paradigm,
which
integrates
concepts
from
metacommunity
ecology,
is
necessary
reveal
underlying
mechanisms
governing
metabolomes.
call
this
synthesis
between
ecology
metabolomics
‘meta-metabolome
ecology’
demonstrate
its
utility
using
mass
spectrometry
dataset.
developed
three
relational
metabolite
dendrograms
molecular
properties
putative
biochemical
transformations
performed
ecological
null
modeling.
Based
upon
modeling
results,
we
show
stochastic
drove
while
were
structured
deterministically.
further
suggest
potentially
biochemically
active
metabolites
more
deterministically
assembled
than
less
metabolites.
Understanding
variation
the
influences
stochasticity
determinism
provides
way
focus
attention
on
meta-metabolomes
parts
most
likely
be
important
consider
mechanistic
models.
paradigm
will
allow
researchers
study
connections
systems
previously
inaccessible
detail.
Annual Review of Analytical Chemistry,
Journal Year:
2020,
Volume and Issue:
13(1), P. 405 - 430
Published: March 20, 2020
The
detailed
molecular
characterization
of
petroleum-related
samples
by
mass
spectrometry,
often
referred
to
as
petroleomics,
continues
present
significant
analytical
challenges.
As
a
result,
petroleomics
be
driving
force
for
the
development
new
ultrahigh
resolution
instrumentation,
experimental
methods,
and
data
analysis
procedures.
Recent
advances
in
ionization,
resolving
power,
accuracy,
use
separation
have
allowed
record
levels
compositional
detail
obtained
samples.
To
address
growing
size
complexity
generated,
vital
software
tools
processing,
analysis,
visualization
continue
developed.
insights
gained
impact
upon
fields
energy
environmental
science
petrochemical
industry,
among
others.
In
addition
advancing
understanding
one
nature's
most
complex
mixtures,
methodologies
are
being
adapted
study
other
sample
types,
resulting
direct
benefits
fields.
Chemical Research in Toxicology,
Journal Year:
2021,
Volume and Issue:
34(10), P. 2216 - 2226
Published: Oct. 5, 2021
The
surge
in
electronic
cigarette
(e-cig)
use
recent
years
has
raised
questions
on
chemical
exposures
that
may
result
from
vaping.
Previous
studies
have
focused
measuring
known
toxicants,
particularly
those
present
traditional
cigarettes,
while
fewer
investigated
unknown
compounds
and
transformation
products
formed
during
the
vaping
process
these
diverse
constantly
evolving
products.
primary
aim
of
this
work
was
to
apply
liquid
chromatography-high-resolution
mass
spectrometry
(LC-HRMS)
fingerprinting
techniques
for
characterization
e-liquids
aerosols
a
selection
popular
e-cig
We
conducted
nontarget
quantitative
analyses
tobacco-flavored
generated
using
four
products:
one
disposable,
two
pod,
tank/mod.
Aerosols
were
collected
condensation
device
analyzed
solution
alongside
by
LC-HRMS.
number
detected
increased
three
commercial
products,
as
did
proportion
condensed-hydrocarbon-like
compounds,
associated
with
combustion.
Kendrick
defect
analysis
suggested
some
additional
belonged
homologous
series
resulting
decomposition
high-molecular-weight
Lipids
inhalable
been
severe
respiratory
effects,
lipid-like
observed
well
analyzed.
Six
potentially
hazardous
additives
contaminants,
including
industrial
tributylphosphine
oxide
stimulant
caffeine,
identified
quantified
liquids
obtained
findings
demonstrate
potential
LC-HRMS
identify
previously
compound
classes
aerosols,
which
is
critical
assessment
Journal of the American Society for Mass Spectrometry,
Journal Year:
2021,
Volume and Issue:
33(1), P. 198 - 202
Published: Dec. 7, 2021
Ultrahigh
resolution
mass
spectrometry
(UHR-MS)
is
commonly
used
to
characterize
natural
organic
matter
(NOM).
The
complexity
of
both
NOM
and
the
data
set
produced
make
visualization
challenging.
Van
Krevelen
diagrams─plots
component
hydrogen/carbon
(H/C)
against
oxygen/carbon
(O/C)
elemental
ratios─have
become
a
popular
way
visualize
chemical
formulas
identified
by
UHR-MS.
Different
regions
on
van
diagram
have
been
attributed
different
classes;
however,
classifications
vary
between
studies
lack
standard
definitions.
Here,
were
obtained
from
public
databases
create
H/C
O/C
ranges
for
amino
sugar,
carbohydrate,
lignin,
lipid,
peptide,
tannin
classes
diagrams.
recommended
are
presented
in
table
can
be
adapted
any
analysis
software
programs.
here
agreed
reasonably
well
with
previous
literature
peptide
regions.
However,
region
appears
at
lower
ratio
values
wider
range
compared
studies.
herein
strongly
use
as
consistent
reference
points
future
characterization
aid
discussion
readily
compare