ACS Omega,
Год журнала:
2024,
Номер
9(49), С. 48397 - 48404
Опубликована: Ноя. 26, 2024
Mayaro
virus
(MAYV)
is
an
emerging
mosquito-borne
viral
pathogen
whose
infection
results
in
arthritogenic
disease.
Despite
ongoing
research
efforts,
MAYV
biology
largely
unknown.
Physical
virology
can
assess
nanoparticle
metastability,
assembly/disassembly,
and
polymorphism,
allowing
us
to
understand
virion
architecture
dynamics.
Here,
we
employ
atomic
force
microscopy
(AFM)
surface
enhancement
Raman
spectroscopy
(SERS)
nanomechanical
properties,
including
maps
of
adhesion
Young's
modulus
on
individual
particles.
We
established
topographic
two
three
dimensions,
revealing
the
three-dimensional
arrangement
distribution
charges
spikes
at
surface.
Furthermore,
organization
densely
packaged
RNA,
which
affords
particle
exceptional
mechanical
resistance
compared
chikungunya
(CHIKV),
was
observed
using
adsorption
patterns.
The
vibrational
signature
particles
differs
from
CHIKV,
with
more
intense
protein
modes
matching
E1/E2
dimers
nucleocapsid,
are
well
structured
suggestive
strength.
Abstract
Infectious
diseases
caused
by
microbial
pathogens
remain
a
primary
contributor
to
global
health
burdens.
Prompt
control
and
effective
prevention
of
these
are
critical
for
public
medical
diagnostics.
Conventional
detection
methods
suffer
from
high
complexity,
low
sensitivity,
poor
selectivity.
Therefore,
developing
rapid
reliable
pathogen
has
become
imperative.
Surface‐enhanced
Raman
Spectroscopy
(SERS),
as
an
innovative
non‐invasive
diagnostic
technique,
holds
significant
promise
in
pathogenic
microorganism
due
its
rapid,
reliable,
cost‐effective
advantages.
This
review
comprehensively
outlines
the
fundamental
theories
(RS)
with
focus
on
label‐free
SERS
strategy,
reporting
latest
advancements
technique
detecting
bacteria,
viruses,
fungi
clinical
settings.
Furthermore,
we
emphasize
application
machine
learning
algorithms
spectral
analysis.
Finally,
challenges
faced
probed,
prospective
development
is
discussed.
Biosensors,
Год журнала:
2023,
Номер
13(5), С. 568 - 568
Опубликована: Май 22, 2023
In
contemporary
science
and
technology,
photonic
sensors
are
essential.
They
may
be
made
to
extremely
resistant
some
physical
parameters
while
also
being
sensitive
other
variables.
Most
incorporated
on
chips
operate
with
CMOS
making
them
suitable
for
use
as
sensitive,
compact,
affordable
sensors.
Photonic
can
detect
electromagnetic
(EM)
wave
changes
convert
into
an
electric
signal
due
the
photoelectric
effect.
Depending
requirements,
scientists
have
found
ways
develop
based
several
interesting
platforms.
this
work,
we
extensively
review
most
generally
utilized
detecting
vital
environmental
personal
health
care.
These
sensing
systems
include
optical
waveguides,
fibers,
plasmonics,
metasurfaces,
crystals.
Various
aspects
of
light
used
investigate
transmission
or
reflection
spectra
general,
resonant
cavity
grating-based
sensor
configurations
that
work
wavelength
interrogation
methods
preferred,
so
these
types
mostly
presented.
We
believe
paper
will
provide
insight
novel
available
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Фев. 24, 2024
Abstract
Recent
work
by
our
laboratory
and
others
indicates
that
co-display
of
multiple
antigens
on
protein-based
nanoparticles
may
be
key
to
induce
cross-reactive
antibodies
provide
broad
protection
against
disease.
To
reach
the
ultimate
goal
a
universal
vaccine
for
seasonal
influenza,
mosaic
influenza
nanoparticle
(FluMos-v1)
was
developed
clinical
trial
(NCT04896086).
FluMos-v1
is
unique
in
it
designed
four
recently
circulating
haemagglutinin
(HA)
strains;
however,
current
analysis
techniques
are
limited
population
analysis,
thus,
unable
determine
valency
an
individual
nanoparticle.
For
first
time,
we
demonstrate
total
internal
reflection
fluorescence
microscopy
supportive
physical–chemical
methods
indeed
achieved
single
nanoparticles.
Additionally,
have
determined
percentages
multivalent
(mosaic)
with
four,
three,
or
two
HA
proteins.
The
integrated
imaging
physicochemical
multivalency
will
serve
further
understand
immunogenicity
data
from
trial.
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(11), С. 5959 - 5959
Опубликована: Май 29, 2024
Microbial
foodborne
pathogens
present
significant
challenges
to
public
health
and
the
food
industry,
requiring
rapid
accurate
detection
methods
prevent
infections
ensure
safety.
Conventional
single
biosensing
techniques
often
exhibit
limitations
in
terms
of
sensitivity,
specificity,
rapidity.
In
response,
there
has
been
a
growing
interest
multimodal
approaches
that
combine
multiple
sensing
enhance
efficacy,
accuracy,
precision
detecting
these
pathogens.
This
review
investigates
current
state
technologies
their
potential
applications
within
industry.
Various
platforms,
such
as
opto-electrochemical,
optical
nanomaterial,
nanomaterial-based
systems,
hybrid
microfluidics,
microfabrication
are
discussed.
The
provides
an
in-depth
analysis
advantages,
challenges,
future
prospects
for
pathogens,
emphasizing
its
transformative
safety
health.
comprehensive
aims
contribute
development
innovative
strategies
combating
ensuring
reliability
global
supply
chain.
Radiation,
Год журнала:
2024,
Номер
4(3), С. 276 - 308
Опубликована: Сен. 16, 2024
Vibrational
spectroscopic
techniques,
such
as
Fourier
transform
infrared
(FTIR)
absorption
and
Raman
spectroscopy
(RS),
offer
unique
detailed
biochemical
fingerprints
by
detecting
specific
molecular
vibrations
within
samples.
These
techniques
provide
profound
insights
into
the
alterations
induced
ionising
radiation,
which
are
both
complex
multifaceted.
This
paper
reviews
application
of
rapid
label-free
vibrational
methods
for
assessing
biological
radiation
responses.
assessments
span
from
early
compartmentalised
models
DNA,
lipid
membranes,
vesicles
to
comprehensive
evaluations
in
various
living
models,
including
tissues,
cells,
organisms
diverse
origins.
The
review
also
discusses
future
perspectives,
highlighting
how
field
is
overcoming
methodological
limitations.
RS
FTIR
have
demonstrated
significant
potential
radiation-induced
biomolecular
alternations,
may
facilitate
identification
exposure
spectral
biomarkers/profiles.
Analytical Chemistry,
Год журнала:
2024,
Номер
96(43), С. 17118 - 17127
Опубликована: Окт. 16, 2024
Human
papillomaviruses
(HPV)
are
known
to
cause
a
variety
of
diseases,
including
cervical
cancer
and
genital
warts.
HPV
is
highly
prevalent
virus
considered
the
most
common
sexually
transmitted
disease.
Because
risks
associated
with
HPV,
Gardasil,
quadrivalent
recombinant
vaccine,
was
developed
by
Merck
&
Co.,
Inc.,
Rahway,
NJ,
USA,
approved
Food
Drug
Administration
(FDA)
in
2006.
The
second
generation
Gardasil9,
subsequently
FDA
2014,
providing
significant
protection
against
HPV.
vaccine
may
be
given
as
2
or
3
doses;
however,
administration
single
dose
sustained
release
mechanism
potentially
offer
benefits
meet
emerging
health
needs.
To
explore
this,
vaccines
were
formulated
within
microporous
self-healing
particles
(SHPs)
enable
potential
controlled
virus-like
particle
(VLP)
antigen.
Machine
learning,
form
multivariate
curve
resolution-alternating
least-squares
(MCR-ALS),
Raman
hyperspectral
imaging
used
determine
molecular
identity
spatial
distribution
all
relevant
species
this
formulation.
results
indicate
that
machine
learning
able
spatially
resolve
VLP
antigens
SHP
for
