Environmental Science & Technology,
Journal Year:
2022,
Volume and Issue:
56(24), P. 17955 - 17964
Published: Nov. 29, 2022
Nanofiltration
(NF)
is
an
effective
technology
for
removing
trace
organic
contaminants
(TrOCs),
while
the
inherent
trade-off
effect
between
water
permeance
and
solute
rejections
hinders
its
widespread
application
in
treatment.
Herein,
we
propose
a
novel
scheme
of
"monomers
with
sacrificial
groups"
to
regulate
microstructure
polyamide
active
layer
via
introducing
hydrolyzable
ester
group
onto
piperazine
control
diffusion
interfacial
polymerization
process.
The
achieved
benefits
include
narrowing
pore
size,
improving
interpore
connectivity,
enhancing
microporosity,
reducing
thickness,
which
collectively
realized
simultaneous
improvement
enhancement
TrOCs
rejection
performance.
resulting
membranes
were
superior
both
commercial
membranes,
especially
water-TrOCs
selectivity.
effects
using
new
monomers
on
membrane
physicochemical
properties
systematically
studied,
underlying
mechanisms
enhanced
separation
performance
further
revealed
by
simulating
process
through
density
functional
theory
calculation
measuring
trans-interface
rate
monomers.
This
study
demonstrates
promising
NF
synthesis
strategy
designing
structure
reaction
achieving
excellent
low
energy
input
Environmental Science & Technology,
Journal Year:
2024,
Volume and Issue:
58(37), P. 16656 - 16668
Published: Sept. 2, 2024
Nanofiltration
(NF)
technology
is
pivotal
for
ensuring
a
sustainable
and
reliable
supply
of
clean
water.
To
address
the
critical
need
advanced
thin-film
composite
(TFC)
polyamide
(PA)
membranes
with
exceptional
permselectivity
fouling
resistance
emerging
contaminant
purification,
we
introduce
novel
high-performance
NF
membrane.
This
membrane
features
selective
polypiperazine
(PIP)
layer
functionalized
amino-containing
quaternary
ammonium
compounds
(QACs)
through
an
Polymeric
membranes
have
been
widely
used
for
liquid
and
gas
separation
in
various
industrial
applications
over
the
past
few
decades
because
of
their
exceptional
versatility
high
tunability.
Traditional
trial-and-error
methods
material
synthesis
are
inadequate
to
meet
growing
demands
high-performance
membranes.
Machine
learning
(ML)
has
demonstrated
huge
potential
accelerate
design
discovery
membrane
materials.
In
this
review,
we
cover
strengths
weaknesses
traditional
methods,
followed
by
a
discussion
on
emergence
ML
developing
advanced
polymeric
We
describe
methodologies
data
collection,
preparation,
commonly
models,
explainable
artificial
intelligence
(XAI)
tools
implemented
research.
Furthermore,
explain
experimental
computational
validation
steps
verify
results
provided
these
models.
Subsequently,
showcase
successful
case
studies
emphasize
inverse
methodology
within
ML-driven
structured
framework.
Finally,
conclude
highlighting
recent
progress,
challenges,
future
research
directions
advance
next
generation
With
aim
provide
comprehensive
guideline
researchers,
scientists,
engineers
assisting
implementation
process.
Environmental Science & Technology,
Journal Year:
2022,
Volume and Issue:
56(24), P. 17955 - 17964
Published: Nov. 29, 2022
Nanofiltration
(NF)
is
an
effective
technology
for
removing
trace
organic
contaminants
(TrOCs),
while
the
inherent
trade-off
effect
between
water
permeance
and
solute
rejections
hinders
its
widespread
application
in
treatment.
Herein,
we
propose
a
novel
scheme
of
"monomers
with
sacrificial
groups"
to
regulate
microstructure
polyamide
active
layer
via
introducing
hydrolyzable
ester
group
onto
piperazine
control
diffusion
interfacial
polymerization
process.
The
achieved
benefits
include
narrowing
pore
size,
improving
interpore
connectivity,
enhancing
microporosity,
reducing
thickness,
which
collectively
realized
simultaneous
improvement
enhancement
TrOCs
rejection
performance.
resulting
membranes
were
superior
both
commercial
membranes,
especially
water-TrOCs
selectivity.
effects
using
new
monomers
on
membrane
physicochemical
properties
systematically
studied,
underlying
mechanisms
enhanced
separation
performance
further
revealed
by
simulating
process
through
density
functional
theory
calculation
measuring
trans-interface
rate
monomers.
This
study
demonstrates
promising
NF
synthesis
strategy
designing
structure
reaction
achieving
excellent
low
energy
input