Computational Modeling of Properties of Quantum Dots and Nanostructures: From First Principles to Artificial Intelligence (A Review)

Nanomaterials, Journal Year: 2025, Volume and Issue: 15(4), P. 272 - 272

Published: Feb. 11, 2025

Nanomaterials, including quantum dots, have gained more and attention in the past few decades due to their extraordinary properties that make them useful for many applications, ranging from catalysis, energy generation storage, biotechnology, medicine informatics. Mathematical descriptions of phenomena which nanostructures are involved great demand because they may be utilized purpose controlling these (e.g., growth with certain sizes, shapes, other properties). Such models distinct nature, calculations first principles, ordinary partial differential equations, machine learning (including artificial intelligence) as well. The aim this article is review most important computational mathematical approaches description control processes involving nanostructures.

Language: Английский

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Bifunctional platinum-based catalysts for electrochemical detection and conversion of glucose

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113389 - 113389

Published: March 1, 2025

Language: Английский

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Biodegradation of PLA in surface water and its behavior towards PFOA: interactional characteristics and computational insights

Colloid & Polymer Science, Journal Year: 2025, Volume and Issue: unknown

Published: May 2, 2025

Language: Английский

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Synthesis, Characterization, Density Functional Theory Study, Antibacterial Activity and Molecular Docking of Zeolitic Imidazolate Framework‐8

Applied Organometallic Chemistry, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 6, 2024

ABSTRACT In this study, Zeolitic Imidazolate Framework‐8 (ZIF‐8) nanomaterials were synthesized using a co‐precipitation one‐pot method that uses ethanol, methanol, and water as solvents for the precursors (2‐methylimidazole Zinc nitrate hexahydrate), resulting in yields of 66.77%, 73.14%, 68.12%, respectively. The as‐synthesized ZIF‐8 thoroughly characterized by X‐ray diffraction analysis, transmission electron microscopy, ultraviolet–visible spectroscopy, Fourier‐transform infrared spectroscopy. analysis showed crystallite size ethanol‐based (24.76 ± 1.67 nm) was smaller than those (26.92 1.89 methanol (31.39 1.03 nm). However, methanol‐based exhibited lower crystallinity (85.93%) water‐based (91.48%) (92.71%). Zeta potential studies revealed had larger surface charge (+37 mV) (+35 or (+24 mV). Transmission microscopy confirmed particle sizes 54.35 2.11 nm ZIF‐8, 57.91 2.26 63.25 4.12 ZIF‐8. Thermogravimetric indicated thermal stability up to 800 °C, with mass losses 55.98% ethanol‐ZIF‐8, 50.12% 65.36% 600 °C. antibacterial studies, largest zone growth inhibition (17.30 0.26 mm) against Escherichia coli compared (15.57 0.32 (14.70 0.20 mm). Pearson's correlation study zeta potential, crystallinity, activity are positively related. Furthermore, minimum inhibitory concentration 50 μg/100 μL, evident cell membrane disruption. Molecular docking experiments ZIF‐8's significant binding affinity E. protein 5AZC, supporting its robust activity.

Language: Английский

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Evaluation of a Non-Enzymatic Electrochemical Sensor Based on Co(OH)2-Functionalized Carbon Nanotubes for Glucose Detection

Sensors, Journal Year: 2024, Volume and Issue: 24(23), P. 7707 - 7707

Published: Dec. 2, 2024

This work reports on the assessment of a non-hydrolytic electrochemical sensor for glucose sensing that is developed using functionalized carbon nanotubes (fCNTs)/Co(OH)

Language: Английский

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The development of carbon nanostructured biosensors for glucose detection to enhance healthcare services: a review

Frontiers in Sensors, Journal Year: 2024, Volume and Issue: 5

Published: Nov. 8, 2024

In this review, the forefront of biosensor development has been marked by a profound exploration carbon nanostructured materials for specific application glucose detection. Moreover, progressive line inquiry capitalizes on distinctive attributes such as nanotubes, quantum dots, and graphene which exhibit unique characteristics in engineering design. It also enhanced analytical performances regarding limit detection, selectivity, sensitivity, reproducibility towards detection biological samples. Most importantly, strategic integration nanostructured-based architectures played significant role advancements, characterized heightened exquisite augmented stability processes. Furthermore, utilizing these advanced engendered transformative impact electrochemical properties, propelling biosensors to achieve rapid precise glucose-sensing capabilities. The confluence nanostructures with technology not only elevated scientific understanding mechanisms. Still, it paved way miniaturized portable biosensors. This shift holds great promise realization point-of-care diagnostics, representing pivotal step durability efficient monitoring health/medical care. These advancements emphasize crucial opening new avenue superiority effectiveness diabetes management. Conclusively, challenges and, forward-looking stance, prospective futures anchored frameworks were considered.

Language: Английский

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An Approach towards Machine Learning Assisted HEMT Based Quantum Dot Sensor for Glucose Detection

National Academy Science Letters, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 18, 2024

Language: Английский

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