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Rhoda Oyeladun Adegoke

Researcher at Ladoke Akintola University of Technology

Publications -  8
Citations -  109

Rhoda Oyeladun Adegoke is an academic researcher from Ladoke Akintola University of Technology. The author has contributed to research in topics: Chemistry & Adsorption. The author has an hindex of 3, co-authored 3 publications receiving 26 citations.

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Adsorptive removal of different pollutants using metal-organic framework adsorbents

TL;DR: In this article, the authors present some advancements in the usages of metal-organic frameworks (MOFs) for the adsorptive removal of different contaminants from the ecosystems, including heavy metals, CO2, chlorinated volatile organic compounds (CVOCs), dyes, pesticides, food additives, veterinary, pharmaceutical and personal care products (PPCP), antibiotics, biological and chemical weapons, other industrial chemicals, etc.
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Electrocatalytic conversion of CO2 to hydrocarbon and alcohol products: Realities and prospects of Cu-based materials

TL;DR: In this article, the expectation, reality of the mechanism on Cu electrodes and its prospect to convert CO2 to aldehydes, hydrocarbon and alcohol products by a way of utilizing CO2 for industrial feedstocks.
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Dataset on the DFT-QSAR, and docking approaches for anticancer activities of 1, 2, 3-triazole-pyrimidine derivatives against human esophageal carcinoma (EC-109).

TL;DR: The investigation of the novel hybrid, 1, 2, 3-triazole moiety combined with pyrimidine derivatives against human esophageal carcinoma revealed the presence of hydrogen bond interaction of the ligands with the amino acids residue in the binding sites of the receptor and the correlations between the IC50 and binding energy showed the activeness of ligand conformation.
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Clean technology for sequestering Rhodamine B dye on modified mango pod using artificial intelligence techniques

TL;DR: In this article , an acid-modified mango pod (AMMP) was prepared as an adsorbent for removal of Rhodamine dye and the adsorption uptake was also determined using machine learning algorithms namely, Artificial Neural network (ANN) and Adaptive Neuro-fuzzy inference systems (ANFIS) respectively.