Asian Journal of Research in Chemistry,
Год журнала:
2024,
Номер
unknown, С. 296 - 300
Опубликована: Окт. 31, 2024
The
advent
way
of
the
SARS-CoV-2
virus
has
put
a
lot
pressure
on
actual
developing
drugs
and
diagnostics.
Gas
Chromatography-Mass
Spectrometry
(GC-MS)
is
rapidly
becoming
one
most
valuable
techniques
in
detecting
identifying
related
to
COVID-19
biological
samples.
This
method
integrates
separation
capabilities
gas
chromatography
with
identification
power
mass
spectrometry,
enabling
analysis
volatile
semi-volatile
compounds.
Through
GC-MS,
researchers
can
identify
trace
elements
complex
matrices,
such
as
serum,
urine,
exhaled
breath,
which
crucial
for
monitoring
drug
concentrations
understanding
pharmacokinetics.
Notably,
GC-MS
been
instrumental
antiviral
like
chloroquine
hydroxychloroquine,
well
biomarkers
associated
infection.
application
extends
beyond
analysis;
it
also
plays
significant
role
early
diagnosis
by
analyzing
breath
samples
specific
metabolites
linked
SARS-CoV-2.
paper
discusses
importance
research,
highlighting
its
applications
detection,
diagnosis,
public
health
management.
Pharmaceutics,
Год журнала:
2023,
Номер
15(7), С. 1916 - 1916
Опубликована: Июль 10, 2023
Artificial
intelligence
(AI)
has
emerged
as
a
powerful
tool
that
harnesses
anthropomorphic
knowledge
and
provides
expedited
solutions
to
complex
challenges.
Remarkable
advancements
in
AI
technology
machine
learning
present
transformative
opportunity
the
drug
discovery,
formulation,
testing
of
pharmaceutical
dosage
forms.
By
utilizing
algorithms
analyze
extensive
biological
data,
including
genomics
proteomics,
researchers
can
identify
disease-associated
targets
predict
their
interactions
with
potential
candidates.
This
enables
more
efficient
targeted
approach
thereby
increasing
likelihood
successful
approvals.
Furthermore,
contribute
reducing
development
costs
by
optimizing
research
processes.
Machine
assist
experimental
design
pharmacokinetics
toxicity
capability
prioritization
optimization
lead
compounds,
need
for
costly
animal
testing.
Personalized
medicine
approaches
be
facilitated
through
real-world
patient
leading
effective
treatment
outcomes
improved
adherence.
comprehensive
review
explores
wide-ranging
applications
delivery
form
designs,
process
optimization,
testing,
pharmacokinetics/pharmacodynamics
(PK/PD)
studies.
an
overview
various
AI-based
utilized
technology,
highlighting
benefits
drawbacks.
Nevertheless,
continued
investment
exploration
industry
offer
exciting
prospects
enhancing
processes
care.
Abstract
Extracellular
vesicles
(EVs)‐based
intercellular
communication
(through
exosomes,
microvesicles,
and
apoptotic
bodies)
is
conserved
across
all
kingdoms
of
life.
In
recent
years,
exosomes
have
gained
much
attention
for
targeted
pharmaceutical
administration
due
to
their
unique
features,
nanoscale
size,
capacity
significantly
contribute
cellular
communication.
As
drug
delivery
vehicles,
several
advantages
over
alternative
nanoparticulate
technologies.
A
key
advantage
lies
in
comparable
makeup
the
body's
cells,
which
makes
them
non‐immunogenic.
However,
face
challenges,
including
a
lack
an
effective
standard
production
technique,
decreased
loading
capacity,
limited
characterization
techniques,
underdeveloped
isolation
purification
procedures.
Exosomes
are
well
known
long‐term
safety
natural
ability
transport
nucleic
acids
medicinal
compounds
blood‐brain‐barrier
(BBB).
Therefore,
addition
revealing
new
insights
into
exosomes’
distinctiveness,
growing
availability
analytical
tools
may
drive
development
next‐generation
synthetic
systems.
Herein,
light
shed
on
as
vehicles
anti‐infective
therapy
by
reviewing
literature
primary
articles
published
between
2002
2023.
Additionally,
benefits
limitations
employing
therapeutic
also
discussed.
Archives of Microbiology,
Год журнала:
2023,
Номер
205(6)
Опубликована: Май 17, 2023
Abstract
COVID-19
is
a
highly
infectious
disease
caused
by
the
SARS-CoV-2
virus,
which
primarily
affects
respiratory
system
and
can
lead
to
severe
illness.
The
virus
extremely
contagious,
early
accurate
diagnosis
of
crucial
contain
its
spread,
provide
prompt
treatment,
prevent
complications.
Currently,
reverse
transcriptase
polymerase
chain
reaction
(RT-PCR)
considered
be
gold
standard
for
detecting
in
stages.
In
addition,
loop-mediated
isothermal
amplification
(LMAP),
clustering
rule
interval
short
palindromic
repeats
(CRISPR),
colloidal
immunochromatographic
assay
(GICA),
computed
tomography
(CT),
electrochemical
sensors
are
also
common
tests.
However,
these
different
methods
vary
greatly
terms
their
detection
efficiency,
specificity,
accuracy,
sensitivity,
cost,
throughput.
Besides,
most
current
conducted
central
hospitals
laboratories,
great
challenge
remote
underdeveloped
areas.
Therefore,
it
essential
review
advantages
disadvantages
methods,
as
well
technology
that
enhance
efficiency
improve
quality
greater
details.
ACS Applied Bio Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 7, 2025
The
Coronavirus
Disease
2019
(COVID-19)
recently
emerged
as
a
life-threatening
global
pandemic
that
has
ravaged
millions
of
lives.
affected
patients
are
known
to
frequently
register
numerous
comorbidities
induced
by
COVID-19
such
diabetes,
asthma,
cardiac
arrest,
hypertension,
and
neurodegenerative
diseases,
name
few.
expensiveness
probability
false
negative
results
conventional
screening
tests
often
delay
timely
diagnosis
treatment.
In
cases,
the
deployment
suitable
biosensing
platform
can
readily
expedite
rapid
process
for
enhanced
patient
outcomes.
We
report
development
an
electrochemical
genosensor
based
on
DNA/OGCN
(DNA/oxygenated
graphitic
carbon
nitride)
nanohybrids
quantification
severe
acute
respiratory
syndrome-coronavirus-2
(SARS-CoV-2)
DNA─the
key
biomarker
COVID-19.
This
is
achieved
exploiting
molecular
nanowire-formation
capability
[Ru(NH3)6]2+/3+
redox
probe
onto
DNA
phosphate
backbone
via
electrostatic
interactions.
microstructural
characterization
OGCN
was
performed
using
scanning
electron
microscopy
(SEM)
coupled
with
energy-dispersive
X-ray
(EDX)
module,
diffraction
(XRD),
Fourier
transform
infrared
spectroscopy.
analyses
were
cyclic
voltammetry
(CV)
impedance
spectroscopy
(EIS),
while
analytical
performance
sensor
evaluated
square
wave
(SWV).
developed
exhibited
wide
linear
detection
range
within
10
fM–10
μM,
limit
(LoD)
∼7.23
fM
high
degree
selectivity
toward
SARS-CoV-2
target
DNA,
thereby
indicating
its
potential
be
employed
in
point-of-care
scenario
providing
affordable
healthcare
populace.
