Environment & Health,
Год журнала:
2024,
Номер
2(4), С. 212 - 220
Опубликована: Фев. 13, 2024
Bioaerosols
pose
a
great
threat
to
human
life
and
health,
developing
highly
efficient
accurate
identification
analysis
methodologies
for
bioaerosols
provides
prerequisite
knowledge
evaluate
their
toxicity
on
health.
In
this
paper,
rapid
economical
method
is
proposed
the
detection
of
based
surface-enhanced
Raman
scattering
(SERS).
The
SERS
substrate
was
prepared
using
an
anodic
aluminum
oxide
(AAO)
template
with
inverted
conical
(V-shaped)
nanopore
array
structure
that
subsequently
deposited
Ag
nanoparticles
(AgNPs)
through
magnetron
sputtering.
This
tailored
nanostructure
essentially
enables
differentiated
Escherichia
coli
Staphylococcus
epidermidis
health
risks
within
10
min,
along
corresponding
limits
103
cells/mL
104
cells/mL,
respectively.
Notably,
by
comparing
spectrum
two
bacteria
obtained
from
plain
plane
same
AgNPs,
V-shaped
more
robust
enhancement
effect
in
signal
relative
ordinary
plane.
More
importantly,
applicability
developed
AgNPs@V-shaped
AAO
validated
ambient
bioaerosols,
thus
emphasizing
potential
application
SERS-based
technique
cost-effective,
label-free
culture-free
bioaerosol
without
experiencing
conventional
time-consuming
laborious
incubation
processes.
Environmental Science & Technology,
Год журнала:
2023,
Номер
57(22), С. 8365 - 8372
Опубликована: Май 23, 2023
Micro/nanoplastics
have
emerged
as
global
contaminants
of
serious
concern
to
human
and
ecosystem
health.
However,
identification
visualization
microplastics
particularly
nanoplastics
remained
elusive
due
the
lack
feasible
reliable
analytical
approaches,
for
trace
nanoplastics.
Here,
an
efficient
surface-enhanced
Raman
spectroscopy
(SERS)-active
substrate
with
triangular
cavity
arrays
is
reported.
The
fabricated
exhibited
high
SERS
performance
standard
polystyrene
(PS)
nanoplastic
detection
size
down
50
nm
a
limit
0.001%
(1.5
×
1011
particles/mL).
Poly(ethylene
terephthalate)
(PET)
collected
from
commercially
bottled
drinking
water
were
detected
average
mean
∼88.2
nm.
Furthermore,
concentration
sample
was
estimated
be
about
108
particles/mL
by
nanoparticle
tracking
analysis
(NTA),
annual
consumption
beings
through
also
1014
particles,
assuming
2
L/day
adults.
facile
highly
sensitive
provides
more
possibilities
detecting
in
aquatic
environment
sensitivity
reliability.
Soil & Environmental Health,
Год журнала:
2023,
Номер
1(2), С. 100019 - 100019
Опубликована: Май 23, 2023
Large-scale
production,
rapid
consumption,
insufficient
recovery
and
management,
slow
degradation
lead
to
a
large
accumulation
of
plastic
waste
microplastics.
Microplastics
are
characterized
as
stable,
small,
having
specific
surface
area
strong
hydrophobicity.
They
carriers
many
hydrophobic
organic
pollutants,
heavy
metals,
pathogenic
bacteria
drug
resistance
genes.
Worldwide,
microplastic
pollution
in
soils
has
attracted
much
attention.
The
progress
perspectives
the
separation
detection
soil
microplastics
deserve
comprehensive
review
discussion.
Here,
sources
distributions
from
use
agricultural
film,
sludge
recycling,
long-term
application
fertilizer,
runoff,
sewage
irrigation
summarized.
Physical
methods
such
density
separation,
electrostatic
oil
extraction
pressurized
liquid
extraction,
chemical
acid
digestion,
alkaline
hydrogen
peroxide
Fenton
reagent
oxidation,
enzymatic
hydrolysis
for
reviewed.
Futhermore,
technologies
through
microscopy,
spectroscopy,
mass
spectrometry,
thermogravimetric
analysis,
differential
scanning
calorimetry,
X-ray
photoelectron
spectroscopy
nuclear
magnetic
resonance
Finally,
put
forward
understanding
impacts
on
functions
health,
developing
source
control
environmental
remediation
technology,
investigating
low-cost
that
preserve
characteristics
microplastics,
strengthen
degree
automation
avoid
artificial
operation
error,
establish
standard
isolating,
extracting,
identifying,
quantifying
soils.
This
serves
technical
reference
identification
builds
foundation
scientific
assessment
ecological
human
risks
Environmental Science & Technology,
Год журнала:
2023,
Номер
57(46), С. 18203 - 18214
Опубликована: Июль 3, 2023
The
increasing
prevalence
of
nanoplastics
in
the
environment
underscores
need
for
effective
detection
and
monitoring
techniques.
Current
methods
mainly
focus
on
microplastics,
while
accurate
identification
is
challenging
due
to
their
small
size
complex
composition.
In
this
work,
we
combined
highly
reflective
substrates
machine
learning
accurately
identify
using
Raman
spectroscopy.
Our
approach
established
spectroscopy
data
sets
nanoplastics,
incorporated
peak
extraction
retention
processing,
constructed
a
random
forest
model
that
achieved
an
average
accuracy
98.8%
identifying
nanoplastics.
We
validated
our
method
with
tap
water
spiked
samples,
achieving
over
97%
accuracy,
demonstrated
applicability
algorithm
real-world
environmental
samples
through
experiments
rainwater,
detecting
nanoscale
polystyrene
(PS)
polyvinyl
chloride
(PVC).
Despite
challenges
processing
low-quality
nanoplastic
spectra
study
potential
forests
distinguish
from
other
particles.
results
suggest
combination
holds
promise
developing
particle
strategies.
Advanced Functional Materials,
Год журнала:
2023,
Номер
34(2)
Опубликована: Сен. 10, 2023
Abstract
Microplastics
(MPs)
are
present
not
only
in
the
environment
but
also
drinking
water,
food,
and
consumer
products.
These
MPs
being
toxic,
carcinogenic,
endocrine
disrupting,
genetic
risk
creators
cause
several
diseases.
Despite
various
approaches,
development
of
onsite
applicable,
facile,
quick
MP
detection
methods
is
still
challenging.
Here,
3D‐plasmonic
gold
nanopocket
(3D‐PGNP)
nanoarchitecture
formed
on
a
paper
substrate
for
simultaneous
filtration
detection.
The
paper‐based
3D‐PGNP
integrated
with
syringe
filter
device,
then,
MP‐containing
solutions
injected
through
syringe.
Subsequent
using
surface‐enhanced
Raman
scattering
(SERS)
successfully
identifies
without
pretreatment.
interface
volumetric
hotspot
generation
around
captured
significantly
improves
sensitivity,
which
confirmed
by
finite‐difference
time‐domain
simulation.
Then,
SERS
mapping
images
obtained
from
portable
spectrometer
transformed
into
digital
signals
via
machine
learning
(ML)
technique
to
identify
quantify
distribution.
developed
SERS‐ML‐based
method
applied
mixture
real
matrix
samples,
demonstrating
that
provides
improved
accuracy.
This
system
expected
be
used
environmentally
hazardous
substances,
such
as
bacteria,
viruses,
fungi.
Environmental Chemistry Letters,
Год журнала:
2024,
Номер
22(4), С. 1861 - 1888
Опубликована: Апрель 4, 2024
Abstract
Microplastics
are
emerging
contaminants
that
undergo
progressive
aging
under
environmental
conditions
such
as
sunlight
irradiation,
mechanical
forces,
temperature
variations,
and
the
presence
of
biological
organisms.
Since
modifies
microplastic
properties,
their
own
toxicity
trapped
pollutants,
advanced
methods
to
analyze
microplastics
required.
Here
we
review
with
focus
on
process,
qualitative
identification,
quantitative
characterization,
chemometrics.
Qualitative
identification
is
done
by
techniques,
thermal
e.g.,
degradation
gas
chromatography–mass
spectrometry,
spectral
infrared,
Raman,
fluorescent,
laser
techniques.
Quantitative
characterization
microscopy
mass
spectrometry.
Microplastic
results
in
a
series
surface
physical
changes,
biofilm
formation,
chemical
oxidation,
alternation,
deterioration.
Changes
properties
allow
differentiate
aged
microplastics.
Infrared
Raman
spectroscopy
rapid
sensitive
for
complex
samples.
Combining
two
techniques
preferable
accurate
detection
categorization.
Environmental Sciences Europe,
Год журнала:
2025,
Номер
37(1)
Опубликована: Янв. 8, 2025
The
degradation
of
mismanaged
plastic
waste
in
the
environment
results
formation
microplastics
(MPs)
and
nanoplastics
(NPs),
which
pose
significant
risks
to
ecosystems
human
health.
These
particles
are
pervasive,
detected
even
remote
regions,
can
enter
food
chain,
accumulating
organisms
causing
harm
depending
on
factors
such
as
particle
load,
exposure
dose,
presence
co-contaminants.
Detecting
analyzing
NMPs
present
unique
challenges,
particularly
size
decreases,
making
them
increasingly
difficult
identify.
Moreover,
absence
standardized
protocols
for
their
detection
analysis
further
hinders
comprehensive
assessments
environmental
biological
impacts.
This
review
provides
a
detailed
overview
latest
advancements
technologies
sampling,
separation,
measurement,
quantification
NMPs.
It
highlights
promising
approaches,
supported
by
practical
examples
from
recent
studies,
while
critically
addressing
persistent
challenges
characterization,
analysis.
work
examines
cutting-edge
developments
nanotechnology-based
detection,
integrated
spectro-microscopic
techniques,
AI-driven
classification
algorithms,
offering
solutions
bridge
gaps
NMP
research.
By
exploring
state-of-the-art
methodologies
presenting
future
perspectives,
this
valuable
insights
improving
capabilities
at
micro-
nanoscale,
enabling
more
effective
across
diverse
contexts.
