Environmental Science & Technology,
Год журнала:
2022,
Номер
56(22), С. 15220 - 15237
Опубликована: Ноя. 4, 2022
In
view
of
the
high
risks
brought
about
by
organic
micropollutants
(OMPs),
nanofiltration
(NF)
processes
have
been
playing
a
vital
role
in
advanced
water
and
wastewater
treatment,
owing
to
membrane
performance
rejection
OMPs,
permeation
water,
passage
mineral
salts.
Though
numerous
studies
devoted
evaluating
technically
enhancing
removing
various
trade-off
effect
between
permeance
water/OMP
selectivity
for
state-of-the-art
membranes
remains
far
from
being
understood.
Knowledge
this
is
significant
comparing
guiding
development
works
toward
cost-efficient
OMP
removal.
work,
we
comprehensively
assessed
88
NF
membranes,
commercialized
or
newly
developed,
based
on
their
data
published
literature.
The
effectiveness
underlying
mechanisms
modification
methods
tailoring
properties
turn
mainstream
polyamide
(PA)
thin-film
composite
(TFC)
were
quantitatively
analyzed.
was
demonstrated
abundant
both
experimental
measurements
machine
learning-based
prediction.
On
basis,
advancement
novel
benchmarked
upper-bound
revealed
commercial
lab-made
PA
membranes.
We
also
potentials
current
selectively
separating
OMPs
inorganic
salts
identified
future
research
perspectives
achieve
further
enhancement
removal
salt/OMP
Chemical Society Reviews,
Год журнала:
2021,
Номер
51(2), С. 672 - 719
Опубликована: Дек. 21, 2021
This
review
article
is
devoted
to
bridging
the
conventional
and
newly-developed
NF
membranes
with
potential
environmental
applications
by
systematically
discussing
synthesis–property–performance
relationships.
Advanced Membranes,
Год журнала:
2022,
Номер
2, С. 100032 - 100032
Опубликована: Янв. 1, 2022
Mono-/multivalent
ion-selective
separation
has
become
a
common
requirement
at
the
water-energy
nexus,
including
energy
storage
and
conversion,
water
purification,
sustainable
industrial
processes.
In
this
review,
we
summarize
theory
of
ion
transport
through
membrane
mechanisms
selective
in
nanofiltration
(NF)
briefly.
Recent
advancing
improving
mono-/multivalent
selectivity
thin-film
composite
(TFC)
NF
via
size
sieving
enhancement,
electric
charge
property
regulation
co-enhancement
properties
are
concluded.
What's
more,
three
material
classes—surface
assembly
materials,
nanomaterials
biomimetic
channels
highlighted
as
candidates
for
preparation
membranes.
Lastly,
design
directions
critical
challenges
developing
high-selectivity
membranes
based
on
provided.
Nature Communications,
Год журнала:
2023,
Номер
14(1)
Опубликована: Фев. 27, 2023
Fast
permeation
and
effective
solute-solute
separation
provide
the
opportunities
for
sustainable
water
treatment,
but
they
are
hindered
by
ineffective
membranes.
We
present
here
construction
of
a
nanofiltration
membrane
with
fast
permeation,
high
rejection,
precise
Cl-/SO42-
spatial
temporal
control
interfacial
polymerization
via
graphitic
carbon
nitride
(g-C3N4).
The
g-C3N4
nanosheet
binds
preferentially
piperazine
tiles
water-hexane
interface
as
revealed
molecular
dynamics
studies,
thus
lowering
diffusion
rate
PIP
one
order
magnitude
restricting
its
pathways
towards
hexane
phase.
As
result,
membranes
nanoscale
ordered
hollow
structure
created.
Transport
mechanism
across
is
clarified
using
computational
fluid
simulation.
Increased
surface
area,
lower
thickness,
identified
key
contributors
to
permeance
105
L
m2·h-1·bar-1
Na2SO4
rejection
99.4%
selectivity
130,
which
superior
state-of-the-art
NF
Our
approach
tuning
microstructure
enables
development
ultra-permeability
excellent
ion-ion
separation,
purification,
desalination,
organics
removal.
Chemical Society Reviews,
Год журнала:
2022,
Номер
51(11), С. 4537 - 4582
Опубликована: Янв. 1, 2022
Water
channels
are
one
of
the
key
pillars
driving
development
next-generation
desalination
and
water
treatment
membranes.
Over
past
two
decades,
rise
nanotechnology
has
brought
together
an
abundance
multifunctional
nanochannels
that
poised
to
reinvent
separation
membranes
with
performances
exceeding
those
state-of-the-art
polymeric
within
water-energy
nexus.
Today,
these
can
be
broadly
categorized
into
biological,
biomimetic
synthetic,
owing
their
different
natures,
physicochemical
properties
methods
for
membrane
nanoarchitectonics.
Furthermore,
against
backdrop
mechanisms,
types
nanochannel
exhibit
unique
merits
limitations,
which
determine
usability
suitability
designs.
Herein,
this
review
outlines
progress
a
comprehensive
amount
nanochannels,
include
aquaporins,
pillar[5]arenes,
I-quartets,
nanotubes
porins,
graphene-based
materials,
metal-
covalent-organic
frameworks,
porous
organic
cages,
MoS2,
MXenes,
offering
comparative
glimpse
where
potential
lies.
First,
we
map
out
background
by
looking
evolution
over
years,
before
discussing
latest
developments
focusing
on
intrinsic
transport
from
chemistry
standpoint.
Next,
put
perspective
fabrication
nanoarchitecture
high-performance
nanochannel-enabled
membranes,
especially
distinct
differences
each
type
how
they
leveraged
unlock
as-promised
high
in
current
mainstream
Lastly,
critically
evaluate
recent
findings
provide
holistic
qualitative
assessment
respect
attributes
most
strongly
valued
engineering,
upcoming
challenges
share
our
perspectives
researchers
pathing
future
directions
coming
age
channels.
Environmental Science & Technology,
Год журнала:
2021,
Номер
56(4), С. 2572 - 2581
Опубликована: Дек. 30, 2021
Polymeric
membrane
design
is
a
multidimensional
process
involving
selection
of
materials
and
optimization
fabrication
conditions
from
an
infinite
candidate
space.
It
impossible
to
explore
the
entire
space
by
trial-and-error
experimentation.
Here,
we
present
strategy
utilizing
machine
learning-based
Bayesian
precisely
identify
optimal
combinations
unexplored
monomers
their
We
developed
ML
models
accurately
predict
water
permeability
salt
rejection
monomer
types
(represented
Morgan
fingerprint)
conditions.
applied
on
built
model
inversely
sets
monomer/fabrication
condition
with
potential
break
upper
bound
for
water/salt
selectivity
permeability.
fabricated
eight
membranes
under
identified
found
that
they
exceeded
bound.
Our
findings
demonstrate
ML-based
represents
paradigm
shift
next-generation
separation
design.
