Chemical Society Reviews,
Journal Year:
2022,
Volume and Issue:
51(4), P. 1277 - 1335
Published: Jan. 1, 2022
The
review
summarizes
the
exploitations
of
corrole
derivatives
in
many
different
fields,
where
peculiar
properties
these
contracted
macrocycles
lead
to
development
promising
applications.
npj Imaging,
Journal Year:
2024,
Volume and Issue:
2(1)
Published: July 17, 2024
Abstract
The
recent
upswing
in
the
integration
of
spatial
multi-omics
for
conducting
multidimensional
information
measurements
is
opening
a
new
chapter
biological
research.
Mapping
landscape
various
biomolecules
including
metabolites,
proteins,
nucleic
acids,
etc.,
and
even
deciphering
their
functional
interactions
pathways
believed
to
provide
more
holistic
nuanced
exploration
molecular
intricacies
within
living
systems.
Mass
spectrometry
imaging
(MSI)
stands
as
forefront
technique
spatially
mapping
metabolome,
lipidome,
proteome
diverse
tissue
cell
samples.
In
this
review,
we
offer
systematic
survey
delineating
different
MSI
techniques
resolved
analysis,
elucidating
principles,
capabilities,
limitations.
Particularly,
focus
on
advancements
methodologies
aimed
at
augmenting
sensitivity
specificity
MSI;
depict
burgeoning
MSI-based
metabolomics,
lipidomics,
proteomics,
encompassing
synergy
with
other
modalities.
Furthermore,
speculative
insights
into
potential
trajectory
technology
future.
Chemistry - An Asian Journal,
Journal Year:
2021,
Volume and Issue:
16(8), P. 868 - 878
Published: March 3, 2021
Abstract
The
analysis
of
low
molecular
weight
(LMW)
compounds
is
great
interest
to
detect
small
pharmaceutical
drugs
rapidly
and
sensitively,
or
trace
understand
metabolic
pathways.
Matrix‐assisted
laser
desorption/ionization
mass
spectrometry
(MALDI
MS)
plays
a
central
role
in
the
high
(bio)molecules.
However,
its
application
for
LMW
restricted
by
spectral
interferences
m/z
region,
which
are
produced
conventional
organic
matrices.
Several
strategies
regarding
sample
preparation
have
been
investigated
overcome
this
problem.
A
different
rationale
centred
on
developing
new
matrices
not
only
meet
fundamental
requirements
good
absorption
ionization
efficiency,
but
also
vacuum
stable
“MALDI
silent”,
i.
e.,
do
give
matrix‐related
signals
area.
This
review
gives
an
overview
rational
design
used
develop
matrix
systems
compounds,
focusing
(i)
modification
well‐known
matrices,
(ii)
search
(iii)
development
binary,
hybrid
nanomaterial‐based
(iv)
advance
reactive
(v)
progress
made
negative
dual
polarity
mode.
Biomolecules,
Journal Year:
2023,
Volume and Issue:
13(3), P. 546 - 546
Published: March 16, 2023
Matrix-assisted
laser
desorption
and
ionization
(MALDI)
is
a
widely
used
soft-ionization
technique
of
modern
mass
spectrometry
(MS).
MALDI
enables
the
analysis
nearly
all
chemical
compounds—including
polar
apolar
(phospho)lipids—with
minimum
extent
fragmentation.
has
some
particular
advantages
(such
as
possibility
to
acquire
spatially-resolved
spectra)
competitive
with
simultaneously
developed
ESI
(electrospray
ionization)
MS.
Although
there
are
still
methodological
aspects
that
need
be
elucidated
in
more
detail,
it
obvious
careful
selection
an
appropriate
matrix
plays
most
important
role
(lipid)
analysis.
Some
lipid
classes
can
detected
exclusively
if
optimum
used,
determines
sensitivity
by
which
within
mixture.
Since
is,
thus,
crucial
for
results,
we
provide
here
update
on
progress
field
since
our
original
review
this
journal
2018.
Thus,
only
development
during
last
five
years
considered,
lipids
sorted
according
increasing
complexity,
starting
free
fatty
acids
ending
cardiolipins
phosphoinositides.
ACS Nano,
Journal Year:
2024,
Volume and Issue:
18(32), P. 21336 - 21346
Published: Aug. 1, 2024
Thyroid
nodules
(TNs)
have
emerged
as
the
most
prevalent
endocrine
disorder
in
China.
Fine-needle
aspiration
(FNA)
remains
standard
diagnostic
method
for
assessing
TN
malignancy,
although
a
majority
of
FNA
results
indicate
benign
conditions.
Balancing
accuracy
while
mitigating
overdiagnosis
patients
with
poses
significant
clinical
challenge.
Precise,
noninvasive,
and
high-throughput
screening
methods
high-risk
diagnosis
are
highly
desired
but
remain
less
explored.
Developing
such
approaches
can
improve
noninvasive
like
ultrasound
imaging
reduce
nodule
caused
by
invasive
procedures.
Herein,
we
investigate
application
gold-doped
zirconium-based
metal-organic
framework
(ZrMOF/Au)
nanostructures
metabolic
profiling
thyroid
diseases.
This
approach
enables
efficient
extraction
urine
metabolite
fingerprints
high
throughput,
low
background
noise,
reproducibility.
Utilizing
partial
least-squares
discriminant
analysis
four
machine
learning
models,
including
neural
network
(NN),
random
forest
(RF),
logistic
regression
(LR),
support
vector
(SVM),
achieved
an
enhanced
(98.6%)
discriminating
cancer
(TC)
from
low-risk
TNs
using
panel.
Through
differences,
potential
pathway
changes
between
malignancy
identified.
work
explores
rapid
disease
ZrMOF/Au-assisted
LDI-MS
platform,
providing
malignant
tumors.
Integrating
this
technologies
enhance
reliability
tumor
screening,
helping
to
prevent
unnecessary
procedures
reducing
risk
overtreatment
nodules.
