Publications by authors named "M Y Karim"

The strategic design and fabrication of efficient electrocatalysts are pivotal for advancing the field of electrochemical water splitting (EWS). To enhance EWS performance, integrating non-noble transition metal catalysts through a cooperative double metal incorporation strategy is important and offers a compelling alternative to conventional precious metal-based materials. This study introduces a novel, straightforward, single-step process for fabricating a bimetallic MoCo catalyst integrated within a three-dimensional (3D) nanoporous network of N, P-doped carbon nitride derived from a self-contained precursor.

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This study introduces a novel method to enhance the antibacterial functionality of electrospun nanofibrous textiles by integrating silver nanoparticles (AgNPs) into poly (lactic acid) (PLA) fabrics through pre- and post-electrospinning techniques. AgNPs were incorporated into hydrophobic and modified hydrophilic PLA textiles via pre-solution blending and post-solution casting. A PEG-PPG-PEG tri-block copolymer was utilized to enhance hydrophilicity and water stability, while AgNPs served as antibacterial agents.

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The antibacterial nanofibrous mat is crucial in biomedicine as it enhances infection control, expedites wound healing, and mitigates health hazards by decreasing antibiotic usage. A novel synergistic antibacterial and hydrophilic nanofibrous mat successfully fabricated by solution electrospinning from polyvinyl alcohol (PVA) incorporated Croton bonplandianum Baill (CBB) leaves extract. Antioxidant-enriched leaf extract of the CBB plant was integrated with PVA in varying proportions of 30% (CBB-30), 40% (CBB-40), and 50% (CBB-50) to manufacture antibacterial nanofibrous mat.

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The ongoing global pandemic caused by the SARS-CoV-2 virus has demanded the urgent search for effective therapeutic interventions. In response, our research aimed at identifying natural products (NPs) with potential inhibitory effects on the entry of the SARS-CoV-2 spike (S) protein into host cells. Utilizing the Protein Data Bank Japan (PDBJ) and BindingDB databases, we isolated 204 S-glycoprotein sequences and conducted a clustering analysis to identify similarities and differences among them.

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