Materials,
Journal Year:
2021,
Volume and Issue:
14(8), P. 1850 - 1850
Published: April 8, 2021
In
the
last
10
years,
we
have
witnessed
an
extensive
development
of
instrumental
techniques
in
analytical
methods
for
determination
various
molecules
and
ions
at
very
low
concentrations.
Nevertheless,
presence
interfering
components
complex
samples
hampered
applicability
new
strategies.
Thus,
additional
sample
pre-treatment
steps
were
proposed
to
overcome
problem.
Solid
sorbents
used
clean-up
but
insufficient
selectivity
commercial
materials
limited
their
utility.
Here,
application
molecularly
imprinted
polymers
(MIPs)
or
ion-imprinted
(IIPs)
separation
processes
recently
attracted
attention
due
many
advantages,
such
as
high
selectivity,
robustness,
costs
fabrication
process.
Bulk
monoliths,
microspheres
core-shell
materials,
magnetically
susceptible
stir-bar
are
applicable
different
modes
solid-phase
extraction
determine
target
analytes
a
environment
blood,
urine,
soil,
food.
The
capability
perform
specific
enantiomers
is
substantial
advantage
clinical
analysis.
gained
interest
trace
analysis
pollutants
environmental
samples.
this
review,
current
synthetic
approaches
preparation
MIPs
IIPs
comprehensively
discussed
together
with
detailed
characterization
respective
materials.
Furthermore,
use
environmental,
food,
biomedical
analyses
will
be
emphasized
point
out
limits
highlight
future
prospects
further
field.
Abstract
Dispersive
solid‐phase
extraction
(
dSPE
)
is
a
sorbent‐based
technique
widely
applied
in
sample
preparation
for
both
clean
up
or
analite
preconcentration.
It
shows
considerable
benefits
over
conventional
SPE
,
especially
terms
of
the
simplicity
procedure.
This
chapter
aims
at
providing
general
overview
its
different
approaches
µ‐
and
magnetic‐
),
principal
factors
which
influence
process
(including
sorbents
most
frequently
used)
as
well
common
applications.
The Analyst,
Journal Year:
2014,
Volume and Issue:
139(10), P. 2265 - 2265
Published: Jan. 1, 2014
Liquid
chromatography-mass
spectrometry
analysis
of
small
molecules
from
biofluids
requires
sensitive
and
robust
assays.
Because
the
very
complex
nature
many
biological
samples,
efficient
sample
preparation
protocols
to
remove
unwanted
components
selectively
extract
compounds
interest
are
an
essential
part
almost
every
bioanalytical
workflow.
This
review
describes
most
common
problems
encountered
during
preparation,
ways
optimize
established
techniques
important
recent
developments
reduce
or
eliminate
major
interferents
biofluids.
Chemical Society Reviews,
Journal Year:
2021,
Volume and Issue:
50(24), P. 13498 - 13558
Published: Jan. 1, 2021
Sensitive
and
selective
detection
of
chemical
biological
analytes
is
critical
in
various
scientific
technological
fields.
As
an
emerging
class
multifunctional
materials,
covalent
organic
frameworks
(COFs)
with
their
unique
properties
modularity,
large
surface
area,
high
stability,
low
density,
tunable
pore
sizes
functionalities,
which
together
define
programmable
properties,
show
promise
advancing
detection.
This
review
demonstrates
the
recent
progress
where
COFs
constitute
integral
component
achieved
function.
highlights
how
can
be
harnessed
to
develop
different
types
systems
based
on
principles
chromism,
luminescence,
electrical
transduction,
chromatography,
spectrometry,
others
achieve
highly
sensitive
analytes,
ranging
from
gases,
volatiles,
ions,
biomolecules.
The
key
parameters
performance
for
target
are
summarized,
compared,
analyzed
perspective
mechanism
structure-property-performance
correlations
COFs.
Conclusions
summarize
current
accomplishments
analyze
challenges
limitations
that
exist
under
mechanisms.
Perspectives
future
directions
research
advance
COF-based
through
innovation
novel
COF
design
synthesis,
device
fabrication,
exploration
modes
also
discussed.
The Analyst,
Journal Year:
2020,
Volume and Issue:
145(4), P. 1129 - 1157
Published: Jan. 1, 2020
Liquid
chromatography
(LC)
based
techniques
in
combination
with
mass
spectrometry
(MS)
detection
have
had
a
large
impact
on
the
development
of
new
pharmaceuticals
past
decades.
