2023
DOI: 10.1155/2023/3579165
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Carbon-Based Nanoadsorbents for the Removal of Emerging Pollutants

Abstract: Emerging contaminants (ECs) are substances that have been detected in water but have not been thoroughly tested or regulated. Pesticides, cosmetics, pharmaceuticals, and other medications are examples of compounds in this category. Even at low quantities, these pollutants can harm human health and the environment; therefore, avoiding them is critical. The consequences of EC pollution on the endocrine, hormonal, and genetic systems are causing significant concern. Even with current best practices and available … Show more

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Cited by 10 publications
(2 citation statements)
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“…This effect is brought about by stacking a pair of aromatic groups, as seen in graphene and cyclic architectures of the minocycline antibiotic. Enhancing the count of rings within the antibiotic molecule expedites the adsorption process onto carbonaceous substances due to the acceleration of π rings within its hexagonal molecular structure 61 . Conjugated benzene rings are also a feature of minocycline.…”
Section: Resultsmentioning
confidence: 99%
“…This effect is brought about by stacking a pair of aromatic groups, as seen in graphene and cyclic architectures of the minocycline antibiotic. Enhancing the count of rings within the antibiotic molecule expedites the adsorption process onto carbonaceous substances due to the acceleration of π rings within its hexagonal molecular structure 61 . Conjugated benzene rings are also a feature of minocycline.…”
Section: Resultsmentioning
confidence: 99%
“…This effect is brought about by stacking a pair of aromatic groups, as seen in graphene and cyclic architectures of the antibiotic minocycline. Enhancing the count of rings within the antibiotic molecule expedites the adsorption process onto carbonaceous substances due to the acceleration of π rings within its hexagonal molecular structure [44]. Conjugated benzene rings are also a feature of minocycline.…”
Section: Minocycline Antibiotic Removal Mechanisms Using Graphene-mod...mentioning
confidence: 99%