Publications by authors named "Sumaira Naeem"

In this study, a novel approach leveraging machine learning (ML) techniques for the design and screening of polymers with high melting points is introduced. More than 40 ML models are trained for the prediction of the melting point. One best model is selected for further analysis.

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In this study, cerium oxide nanorods (CeO-NRs) were synthesized by using the phytochemicals present in the extract. The physiochemical characteristics of the as-prepared CeO-NRs were investigated by using ultraviolet-visible spectroscopy (UV-VIS), scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and X-ray diffraction analysis (XRD). The SEM and UV-VIS analyses revealed that the acquired nanomaterials possessed a rod-like morphology while the XRD results further confirmed that the synthesized NRs exhibited a cubic crystal lattice system.

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In this study, photocatalysis was employed to degrade a wastewater pollutant (AB-29 dye) under visible light irradiation. For this purpose, nitrogen (N)- and neodymium (Nd)-doped TiO nanoparticles were prepared using the simple hydrothermal method. X-ray diffraction (XRD) revealed an anatase phase structure of the Nd-N/TiO photocatalyst, whereas properties including the surface morphology, chemical states/electronics structure and optical structure were determined using transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS) and UV-visible (UV-vis.

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This study was designed to check the potential of secondary metabolites of the selected plants; Citrullus colocynthis, Solanum nigrum, Solanum surattense, Calotropis procera, Agave americana, and Anagallis arvensis for antioxidant, antibacterial, antifungal, and antidiabetic agents. Plant material was soaked in ethanol/methanol to get the crude extract, which was further partitioned via solvent extraction technique. GCMS and FTIR analytical techniques were applied to check the compounds responsible for causing antioxidant, antimicrobial, and antidiabetic activities.

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In recent years, the growing research interests in the applications of plant and fruit extracts (synthetic/stabilization materials for the nanomaterials, medicinal applications, functional foods, and nutraceuticals) have led to the development of new analytical techniques to be utilized for identifying numerous properties of these extracts. One of the main properties essential for the applicability of these plant extracts is the antioxidant capacity (AOC) that is conventionally determined by spectrophotometric techniques. Nowadays, electrochemical methodologies are emerging as alternative tools for quantifying this particular property of the extract.

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A novel copper-zinc-manganese trimetal oxide nanocomposite was synthesized by the simple co-precipitation method for sensing glucose and methylene blue degradation. The absorption maximum was found by ultraviolet-visible spectroscopy (UV-Vis) analysis, and the bandgap was 4.32 eV.

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There has been significant progress in the last few decades in addressing the biomedical applications of polymer hydrogels. Particularly, stimuli responsive hydrogels have been inspected as elegant drug delivery systems capable to deliver at the appropriate site of action within the specific time. The present work describes the synthesis of pH responsive semi-interpenetrating network (semi-IPN) hydrogels of N-succinyl-chitosan (NSC) via Schiff base mechanism using glutaraldehyde as a crosslinking agent and Poly (acrylamide-co-acrylic acid)(Poly (AAm-co-AA)) was embedded within the N-succinyl chitosan network.

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In recent years, much attention has been focused on the antioxidant potential of different phenolic acids. But still no theoretical investigation is reported on the antioxidant potential of Homogentisic and Orsellinic acids. In this study, computational investigation based on the density functional theory (DFT) has been carried out to understand the antioxidant potential of Homogentisic and Orsellinic acids.

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The aim of this study was to optimize the extraction conditions for the extraction of phenolic compounds from Moringa oleifera leaves using response surface methodology (RSM). A user-defined design was applied to determine the effects of extraction time (min), extraction temperature ((o)C) and ethanol concentration (%), on total phenolic content (TPC) from Moringa oleifera leaves dried by three methods (oven, sunlight and ambient air). The RSM was used to optimize the extraction conditions for the extraction of TPC of Moringa oleifera leaves.

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