Characteristic
emerging pollutants at low concentration have raised
much attention for causing a bottleneck in water remediation, especially
in complex water matrices where high concentration of interferents
coexist. In the future, tailored treatment methods are therefore of
increasing significance for accurate removal of target pollutants
in different water matrices. This critical review focuses on the overall
strategies for accurately removing highly toxic emerging pollutants
in the presence of typical interferents. The main difficulties hindering
the improvement of selectivity in complex matrices are analyzed, implying
that it is difficult to adopt a universal approach for multiple targets
and water substrates. Selective methods based on assorted principles
are proposed aiming to improve the anti-interference ability. Thus,
typical approaches and fundamentals to achieve selectivity are subsequently
summarized including their mechanism, superiority and inferior position,
application scope, improvement method and the bottlenecks. The results
show that different methods may be applicable to certain conditions
and target pollutants. To better understand the mechanism of each
selective method and further select the appropriate method, advanced
methods for qualitative and quantitative characterization of selectivity
are presented. The processes of adsorption, interaction, electron
transfer, and bond breaking are discussed. Some comparable selective
quantitative methods are helpful for promoting the development of
related fields. The research framework of selectivity removal and
its fundamentals are established. Presently, although continuous advances
and remarkable achievements have been attained in the selective removal
of characteristic organic pollutants, there are still various substantial
challenges and opportunities. It is hopeful to inspire the researches
on the new generation of water and wastewater treatment technology,
which can selectively and preferentially treat characteristic pollutants,
and establish a reliable research framework to lead the direction
of environmental science.