Water is an essential substance for the survival on Earth of all living organisms. However, population growth has disturbed the natural phenomenon of living, due to industrial growth to meet ever expanding demands, and, hence, an exponential increase in environmental pollution has been reported in the last few decades. Moreover, water pollution has drawn major attention for its adverse effects on human health and the ecosystem. Various techniques have been used to treat wastewater, including biofiltration, activated sludge, membrane filtration, active oxidation process and adsorption. Among the mentioned, the last method is becoming very popular. Moreover, among the sorbents, those based on cyclodextrin have gained worldwide attention due to their excellent properties. This review article overviewed recent contributions related to the synthesis of Cyclodextrin (CD)-based adsorbents to treat wastewater, and their applications, especially for the removal of heavy metals, dyes, and organic pollutants (pharmaceuticals and endocrine disruptor chemicals). Furthermore, new adsorption trends and trials related to CD-based materials are also discussed regarding their regenerative potential. Finally, this review could be an inspiration for new research and could also anticipate future directions and challenges associated with CD-based adsorbents.
Molecular imprinting is an attractive research area for synthesizing unique functional polymers with high selectivity due to template oriented active sites. Molecularly imprinted polymers (MIPs) have a wide range of applications in chemical and biological sensing, drug delivery, and solidphase extraction owing to mechanical stability, reversibility, reproducibility, and cross-validity. MIPs are compatible with natural antibodies and are being used as antibody mimics/receptors in the biomedical field. Today, viral detection is the most popular research area due to emerging viral diseases with genetic variability and drug resistance. Therefore, there is a need to control viral infections by discriminative recognition of the viral pathogens. This review summarizes the literature on the detection of human viruses by using MIPs.
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