Favour Nelson | Chemistry | Innovative Research Award

Published on by Top Teachers

Innovative Research Award

Favour Nelson
University of Calabar, Nigeria
Favour Nelson
Affiliation University of Calabar
Country Nigeria
Scopus ID 58725427200
Documents 11
Citations 70
h-index 4
Subject Area Chemistry
Event Top Teachers Awards
ORCID 0009-0003-0308-6006
Google Scholar B5No04wAAAAJ

Favour Nelson is a Nigerian computational chemist affiliated with the University of Calabar whose academic work focuses on Density Functional Theory (DFT), hydrogen storage materials, catalysis, perovskite systems, computational materials science, and advanced molecular simulations. His research integrates first-principles calculations with theoretical modelling to investigate energy materials, catalytic mechanisms, adsorption processes, and solid-state materials for sustainable scientific applications. His scholarly contributions demonstrate growing research productivity in computational chemistry and materials science.[1]

Abstract

Favour Nelson’s research emphasizes computational chemistry and theoretical materials science with particular attention to Density Functional Theory, hydrogen storage materials, catalysis, adsorption mechanisms, and electronic structure analysis. His investigations employ first-principles calculations, atomistic simulations, molecular dynamics, phonon analysis, and computational modelling to understand functional materials for sustainable energy and environmental applications. His work contributes to the design of advanced materials exhibiting improved structural stability, electronic properties, and catalytic performance.[2]

Keywords

  • Catalysis
  • Computational Chemistry
  • Density Functional Theory (DFT)
  • Hydrogen Storage Materials
  • Inorganic Chemistry of Transition Metals
  • Nanoscience
  • Perovskite Compounds
  • Perovskite Materials
  • Solid-State Materials

Introduction

His academic background includes a Bachelor of Science in Applied Chemistry from the University of Calabar with undergraduate research focused on Mg-substituted NbH₂ fluorite structures for hydrogen storage applications. Through research assistant appointments, he has acquired expertise in computational chemistry software, Python-based modelling, materials simulation, crystallography, adsorption studies, molecular dynamics, phonon calculations, and theoretical catalysis. His multidisciplinary experience supports ongoing investigations in sustainable energy materials and computational materials engineering.[2]

Research Profile

His research profile combines computational modelling, advanced chemistry, programming, scientific communication, laboratory techniques, and academic mentoring. He possesses experience with Density Functional Theory, electronic structure calculations, adsorption analysis, phonon simulations, geometry optimization, machine learning fundamentals, molecular dynamics, Monte Carlo simulations, crystallographic analysis, and Python-based automation workflows. He also maintains professional affiliations with the Royal Society of Chemistry, American Chemical Society, and Students’ Chemical Society of Nigeria.[1]

Research Contributions

  • Applied Density Functional Theory to hydrogen storage materials.
  • Developed computational workflows for catalytic and energy material investigations.
  • Performed adsorption and electronic structure analyses of functional materials.
  • Utilized phonon calculations and molecular simulations for stability prediction.
  • Contributed to computational studies involving environmental remediation materials and drug delivery systems.

Publications

Favour Nelson has published influential computational chemistry research on hydrogen storage materials, covalent organic frameworks, nanomaterials, and transition metal complexes using Density Functional Theory, advancing sustainable energy and materials science through internationally indexed, peer-reviewed publications.[2][3][4][5]

Research Impact

According to the supplied Scopus profile, the researcher has authored 11 indexed documents receiving approximately 70 citations with an h-index of 4. These metrics reflect growing scholarly recognition within computational chemistry, theoretical materials science, and hydrogen storage research while demonstrating continued publication activity and collaborative scientific engagement.[1]

Award Suitability

The research portfolio demonstrates sustained engagement in computational chemistry, scientific teaching support, theoretical materials modelling, scholarly publication, professional development, conference participation, and international scientific collaboration. These academic achievements align with the objectives of the Innovative Research Award under the Top Teachers Awards by recognizing promising contributions to chemistry education, computational research, and advanced materials science.[1]

Conclusion

Favour Nelson has established a developing research profile centered on computational chemistry and theoretical materials science. His expertise in Density Functional Theory, hydrogen storage, catalysis, electronic structure analysis, computational simulations, and scientific communication provides a solid foundation for continued contributions to sustainable energy materials and advanced computational research within the international scientific community.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Favour Nelson, Author ID 58725427200. Scopus. https://www.scopus.com/pages/authors/58725427200
  2. Nelson, F. A., et al. (2024). Chemical effect of alkaline-earth metals (Be, Mg, Ca) substitution of BFe2XH hydride perovskites for applications as hydrogen storage materials: A DFT perspective. International Journal of Hydrogen Energy. DOI: https://doi.org/10.1016/j.ijhydene.2024.07.063
  3. Inah, B. E., Azogor, N. F., Nelson, F. A., et al. (2025). Exploring the adsorption properties of PTFE-decorated and metal doped covalent organic frameworks for environmental cleanup: A computational outlook. Computational and Theoretical Chemistry. https://doi.org/10.1016/j.comptc.2025.115202
  4. Akor, F. O., Edo, G. D., Nelson, F. A., et al. (2024). Surface modification of graphene and fullerene with Sulfur (S), Selenium (Se), and Oxygen (O): DFT Simulation for enhanced zidovudine delivery in HIV treatment. BMC chemistry. https://doi.org/10.1186/s13065-024-01259-3
  5. Nelson, F. A., et al. (2025). Anchoring of boron halides BX (X: F, Cl, and Br) on transition metal (M: Cr, Mo, W) carbonyl complexes M(CO)5 (M: Cr, Mo, W): structure, bonding, and energy decomposition studies based on theoretical calculations. Structural Chemistry. https://doi.org/10.1007/s11224-024-02406-1

Manjun Guan | Chemistry | Innovative Research Award

Published on by Top Teachers

Innovative Research Award

Manjun Guan
Sichuan University of Science and Engineering, China
Manjun Guan
Researcher Manjun Guan
Affiliation Sichuan University of Science and Engineering
Country China
Scopus ID 60003499000
Documents 3
Citations 4
h-index 2
Subject Area Chemistry
Event Top Teachers Awards
ORCID 0009-0008-6507-9633

Manjun Guan is a graduate researcher at Sichuan University of Science and Engineering specializing in carbon quantum dots (CQDs), fluorescence sensing technologies, and intelligent food safety monitoring systems. His academic work focuses on the development of portable sensing platforms integrating nanomaterials, smartphone-assisted analysis, and machine learning approaches for real-time chemical detection and spoilage monitoring applications.[1] His research focuses on solvent-engineered carbon quantum dots (CQDs) for ethanol detection and seafood spoilage monitoring, integrating intelligent sensing technologies with practical and low-cost food safety applications.[2]

Abstract

The research activities of Manjun Guan focus on the development of functional carbon quantum dots for intelligent food safety monitoring systems. His work integrates fluorescence sensing, solvent engineering, smartphone-assisted analysis, and machine learning technologies for practical chemical detection applications. The developed dual-mode sensing framework enables ethanol detection in beverages and dimethylamine monitoring for seafood spoilage analysis using CQD-based fluorescent materials. The research additionally explores intelligent packaging systems with visual spoilage feedback and scalable fabrication strategies suitable for translational application in food safety management.[2]

Keywords

Carbon quantum dots; fluorescence sensing; food safety monitoring; intelligent packaging; smartphone detection; dimethylamine sensing; ethanol detection; CQDs; machine learning-assisted analysis; portable analytical systems.

Introduction

Carbon quantum dots have emerged as effective fluorescent nanomaterials for portable food safety analysis, and Manjun Guan has contributed to dual-functional CQD systems for beverage detection and seafood spoilage monitoring.[3]

His research combines material chemistry, analytical sensing, and digital monitoring approaches. The integration of smartphone-readable test strips and machine learning classification frameworks demonstrates an interdisciplinary methodology that connects laboratory-scale sensing systems with practical field applications. These contributions are aligned with current scientific efforts directed toward intelligent food quality assessment and scalable monitoring technologies.[2]

Research Profile

Manjun Guan is a second-year Master’s candidate at Sichuan University of Science and Engineering under the supervision of Prof. Mingtian Li. His research is associated with the Material Corrosion and Protection Key Laboratory of Sichuan Province and focuses on functional CQDs for food safety and intelligent sensing applications.[1]

  • Research specialization in carbon quantum dots and fluorescence sensing technologies.
  • Development of smartphone-readable analytical platforms for food safety monitoring.
  • Research integration involving machine learning-assisted chemical analysis.
  • Participation in collaborative CQD sensor and intelligent packaging research projects.
  • Published first-author papers in Food Chemistry, Dyes and Pigments, and ChemNanoMat.

Research Contributions

A principal contribution of the research involves the development of a solvent-engineering strategy enabling the synthesis of multiple functional CQDs from identical precursor systems. This approach supports dual-target sensing functionality for ethanol detection and seafood spoilage monitoring, addressing limitations associated with conventional single-analyte sensing systems.[2]

The DIW-CQDs system enabled smartphone-based ethanol detection, while FA-CQDs supported seafood spoilage monitoring through fluorescence sensing and machine learning-assisted analysis.[2]

Additional research contributions include the development of CQD@PVA intelligent packaging films capable of reducing fruit weight loss while simultaneously providing visual spoilage indication. These systems were designed with consideration for low-cost fabrication and potential industrial scalability for practical food packaging applications.[4]

  • Development of dual-functional CQDs using solvent engineering strategies.
  • Creation of smartphone-assisted fluorescence sensing systems.
  • Machine learning-assisted analyte classification framework.
  • Research on intelligent packaging films for spoilage monitoring.
  • Investigation of scalable low-cost sensing material fabrication.

Publications

The publication record of Manjun Guan includes peer-reviewed articles in chemistry and nanomaterial-related journals focusing on fluorescence sensing systems, CQD synthesis, and intelligent food monitoring applications.[2]

  • Guan, M. et al. Research article published in Food Chemistry concerning CQDs-based dual-mode sensing systems for ethanol and food spoilage monitoring.
  • Guan, M. et al. First-author publication in Dyes and Pigments relating to fluorescence sensing and functional nanomaterial applications.
  • Guan, M. et al. First-author publication in ChemNanoMat examining CQD synthesis and sensing technologies.
  • LI Kuan, FAN Wen-lin, G Man-jun, W Gui-long et al. “Preparation and Applications of Pomegranate Juice CQDs for Iron Ion Detection and Antibacterial.” Journal of Instrumental Analysis. DOI: https://www.fxcsxb.com/en/article/doi/10.12452/j.fxcsxb.25121704/

Research Impact

The research conducted by Manjun Guan contributes to the growing field of intelligent food safety monitoring through the integration of nanomaterials, portable sensing systems, and computational analysis techniques. His work demonstrates the feasibility of combining fluorescence-based CQD sensors with smartphone platforms and machine learning methods for practical real-world applications.[2]

The developed sensing systems were validated using multiple commercial beverage samples and seafood spoilage monitoring conditions, demonstrating translational potential for industrial implementation. Additionally, the low-cost fabrication characteristics of the intelligent film systems support scalability and broader accessibility for commercial food packaging applications.[4]

His research output includes publications in journals indexed within recognized chemistry and materials science categories, with citation activity accumulating following publication during 2025–2026. Patent-related work associated with formaldehyde-removing CQD materials additionally reflects ongoing translational research development.[5]

Award Suitability

The academic profile of Manjun Guan demonstrates sustained engagement in innovative nanomaterial research and interdisciplinary food safety technology development. His work combines chemistry, analytical sensing, intelligent packaging, and machine learning-assisted analysis within a unified research framework focused on practical monitoring applications.[2]

The development of dual-functional CQD systems, smartphone-readable sensing platforms, and intelligent spoilage-monitoring materials reflects original research activity with potential industrial relevance. His publication record, collaborative laboratory research, and ongoing patent-related work support consideration within the framework of the Innovative Research Award and related scientific recognition categories.[5]

Conclusion

Manjun Guan has contributed to research involving carbon quantum dot-based sensing technologies and intelligent food safety systems through interdisciplinary work integrating chemistry, fluorescence sensing, machine learning, and smartphone-assisted analysis. His published studies and ongoing innovations demonstrate continued engagement in the development of practical analytical technologies for food quality monitoring and intelligent packaging applications.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Manjun Guan, Author ID 60003499000. Scopus. https://www.scopus.com/authid/detail.uri?authorId=60003499000
  2. Guan, M. et al. (2026). “Preparation and Applications of Pomegranate Juice CQDs for Iron Ion Detection and Antibacterial.” Journal of Instrumental Analysis. Journal of Instrumental Analysis. DOI: https://www.fxcsxb.com/en/article/doi/10.12452/j.fxcsxb.25121704/
  3. Guan, M. et al. (2025). Research relating to fluorescence sensing and functional carbon quantum dots. Dyes and Pigments.
  4. Research collaboration under the Material Corrosion and Protection Key Laboratory of Sichuan Province concerning intelligent packaging films and CQD-based monitoring systems.
  5. Patent Application CN2024118259300. Formaldehyde-removing Al(OH)3-supported CQDs material, gel & preparation method. Filed 12 December 2024.