Transforming PFAS management: A critical review of machine learning applications for enhanced monitoring and treatment
Journal of Water Process Engineering,
Год журнала:
2025,
Номер
70, С. 106941 - 106941
Опубликована: Янв. 15, 2025
Язык: Английский
Machine learning approaches for identifying the influencing factors of input materials in cement and predicting heavy metal concentrations
Journal of Hazardous Materials Advances,
Год журнала:
2025,
Номер
unknown, С. 100699 - 100699
Опубликована: Март 1, 2025
Язык: Английский
Machine learning models with innovative outlier detection techniques for predicting heavy metal contamination in soils
Journal of Hazardous Materials,
Год журнала:
2024,
Номер
481, С. 136536 - 136536
Опубликована: Ноя. 19, 2024
Язык: Английский
Unlocking the Potential of Algae for Heavy Metal Remediation
Water Air & Soil Pollution,
Год журнала:
2024,
Номер
235(10)
Опубликована: Авг. 23, 2024
Abstract
Algae
have
emerged
as
a
promising
approach
for
the
removal
of
heavy
metals
from
wastewater
due
to
their
low-cost,
efficient,
and
eco-friendly
characteristics.
The
unique
structural
biochemical
properties
algae
enable
them
remove
using
various
mechanisms,
including
physical
adsorption,
ion
exchange,
complexation,
precipitation,
phycoremediation,
bioaccumulation.
Algal
modification
techniques
such
pre-treatment,
immobilization,
genetic
are
also
discussed
means
enhancing
efficiency
specificity
metal
removal.
Additionally,
regeneration
algal
biomass
is
presented
sustainable
solution
issue
disposal.
Язык: Английский
The Ecotoxicological Implications and Contamination Profile of Organochlorine Pesticides (OCPs), Organophosphorus Pesticides (OPPs), and Heavy Metals, in Tuticorin, Southeast Coast of India
Regional Studies in Marine Science,
Год журнала:
2025,
Номер
unknown, С. 104237 - 104237
Опубликована: Май 1, 2025
Язык: Английский