Synthesis, Characterization, and Theoretical Analysis of Schiff Base Graphene Oxide Utilizing DFT Computing

General Background: Graphene oxide (GO) and its derivatives, such as Schiff base-functionalized graphene oxide (GOTM), have gained significant attention due to their unique properties and potential applications in various fields. Specific Background: The synthesis and characterization of GOTM involve advanced spectroscopic techniques like FT-IR, XRD, Raman, and FESEM, along with computational analysis using Density Functional Theory (DFT). Knowledge Gap: Despite extensive research on GO, the influence of Schiff base functionalization on its chemical and electronic properties remains inadequately explored. Aims: This study aims to synthesize GOTM, characterize its structural and electronic properties, and analyze its stability and reactivity through DFT calculations. Results: The synthesis of GOTM was confirmed through FT-IR, XRD, Raman, EDX, and FESEM, revealing changes in surface morphology and electronic characteristics compared to GO. DFT calculations showed significant differences in reactivity indices and electronic properties between GO and GOTM. Novelty: This study provides a comprehensive analysis of the impact of Schiff base functionalization on GO’s electronic structure, offering new insights into its reactivity and stability. Implications: The findings contribute to the design of advanced materials with tailored electronic properties for applications in energy, sensors, and environmental technologies. Highlights: Nurses are essential in obesity physiotherapy interventions. Knowledge gaps reduce physiotherapy care effectiveness. Training improves nurse-led obesity management. Keywords: Nurses, Physiotherapy, Obesity, Knowledge, Saudi Arabia

Authors

Institutions

Publication Details

Journal
Academia Open
Published
2025-05-02
DOI
https://doi.org/10.21070/acopen.10.2025.10874
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synthesis, Characterization, and Theoretical Analysis of Schiff Base Graphene Oxide Utilizing DFT Computing

Ali Abra Naser
Academia Open
Graphene research and applications
article

Synthesis, Characterization, and Theoretical Analysis of Schiff Base Graphene Oxide Utilizing DFT Computing

Ali Abra Naser
article en

Abstract

General Background: Graphene oxide (GO) and its derivatives, such as Schiff base-functionalized graphene oxide (GOTM), have gained significant attention due to their unique properties and potential applications in various fields. Specific Background: The synthesis and characterization of GOTM involve advanced spectroscopic techniques like FT-IR, XRD, Raman, and FESEM, along with computational analysis using Density Functional Theory (DFT). Knowledge Gap: Despite extensive research on GO, the influence of Schiff base functionalization on its chemical and electronic properties remains inadequately explored. Aims: This study aims to synthesize GOTM, characterize its structural and electronic properties, and analyze its stability and reactivity through DFT calculations. Results: The synthesis of GOTM was confirmed through FT-IR, XRD, Raman, EDX, and FESEM, revealing changes in surface morphology and electronic characteristics compared to GO. DFT calculations showed significant differences in reactivity indices and electronic properties between GO and GOTM. Novelty: This study provides a comprehensive analysis of the impact of Schiff base functionalization on GO’s electronic structure, offering new insights into its reactivity and stability. Implications: The findings contribute to the design of advanced materials with tailored electronic properties for applications in energy, sensors, and environmental technologies. Highlights: Nurses are essential in obesity physiotherapy interventions. Knowledge gaps reduce physiotherapy care effectiveness. Training improves nurse-led obesity management. Keywords: Nurses, Physiotherapy, Obesity, Knowledge, Saudi Arabia

Academia OpenVol. 10(1)
University of Misan (IQ)
Openalex Percentile: Top 89%
Graphene research and applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.