ACS symposium series,
Journal Year:
2023,
Volume and Issue:
unknown, P. 315 - 360
Published: Nov. 28, 2023
Over
the
decades,
economic
development
and
population
growth
have
directly
influenced
production
of
effluents
contaminated
by
potentially
toxic
metals,
which,
,
contaminate
soil,
subsoil,
groundwater
if
released
into
environment.
Metals
are
persistent
pollutants
can
bioaccumulate
in
plant
tissues
human
body,
thus
causing
disturbances
diseases.
Methodologies
based
on
physical-chemical
methods
such
as
ion
exchange,
membrane
filtration,
electrocoagulation
examples
techniques
adopted
treatment
effluents.
However,
these
methodologies
some
disadvantages,
a
high
implementation
cost,
secondary
residue,
little
effectiveness
at
low
metallic
concentrations.
Biological
emerges
promising,
eco-friendly,
low-cost
alternative
for
using
various
biomasses
agro-industrial
waste,
microorganisms,
animal
parts.
The
bioremediation
processes
biosorption
bioaccumulation
biological
treatments
that
emerge
effective
easy
to
perform
literature.
This
chapter
reviews
contributions
heavy
focusing
important
process
parameters
main
evaluated
biomasses.
Chemosphere,
Journal Year:
2023,
Volume and Issue:
315, P. 137761 - 137761
Published: Jan. 4, 2023
In
recent
years,
there
has
been
an
increasing
concern
related
to
the
contamination
of
aqueous
ecosystems
by
heavy
metals,
highlighting
need
improve
current
techniques
for
remediation.
This
work
intends
address
problem
removing
metals
from
waterbodies
combining
two
complementary
methodologies:
adsorption
a
copolymer
synthesized
inverse
vulcanization
sulfur
and
vegetable
oils
phytoremediation
microalga
Chlorella
sorokiniana
enhance
metal
adsorption.
After
studying
tolerance
growth
in
presence
copolymer,
highly
concentrated
Cd2+
(50
mg
L-1)
microalgae
on
their
own
combined
immobilized
system
(AlgaPol)
was
compared.
Additionally,
studies
have
performed
mixtures
Cu2+
at
concentration
8
L-1
each.
AlgaPol
biofilm
is
able
remove
these
medium
more
than
90%.
The
excellent
capacity
this
can
be
kinetically
described
pseudo-second-order
model.
