Favour Nelson | Chemistry | Innovative Research Award

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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

Xiaofei Liu | Chemistry and Materials Science | Innovative Research Award

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Innovative Research Award

Xiaofei Liu
Xi’an Jiaotong University, China

Researcher Information
Affiliation Xi’an Jiaotong University
Country China
Google Scholar ID bURkwhEAAAAJ
Documents 28
Citations 2688
h-index 17
Subject Area Chemistry and Materials Science
Event Top Teachers Awards
ORCID 0000-0002-2325-9379

The Innovative Research Award recognizes researchers whose scholarly activities demonstrate meaningful contributions to scientific advancement and interdisciplinary innovation. Xiaofei Liu of Xi’an Jiaotong University has developed a research portfolio spanning nanomedicine, advanced materials, environmental chemistry, and programmable structural systems. Through publications in leading international journals, Liu has contributed to emerging fields such as cuproptosis-based cancer therapy, magnetic medical technologies, catalytic environmental remediation, and adaptive materials engineering.[1]

Abstract

This article summarizes the academic achievements of Xiaofei Liu in the fields of chemistry and materials science. The researcher has contributed to innovative nanomaterials, cancer treatment strategies, environmental remediation technologies, and advanced structural engineering concepts. The body of work demonstrates a commitment to translating fundamental scientific understanding into practical applications relevant to medicine, sustainability, and engineering.[2]

Keywords

Nanomedicine, Cuproptosis, Cancer Radiotherapy, Magnetic Medicine, Environmental Catalysis, Advanced Materials, Kirigami Structures, Materials Science.

Introduction

Modern scientific challenges often require interdisciplinary approaches that integrate chemistry, materials science, medicine, and engineering. Xiaofei Liu’s research reflects this trend through investigations into nanoscale therapeutic systems, environmentally responsive materials, and functional structures designed for biomedical and industrial applications. The resulting publications have attracted significant scholarly attention and citations within related research communities.[1]

Research Profile

Liu’s scholarly record includes 28 indexed documents and 2,688 citations, reflecting sustained academic visibility. Research activities focus on functional nanomaterials, therapeutic technologies, environmental chemical engineering, and programmable mechanical systems. These studies collectively address challenges in healthcare innovation and sustainable technological development.[1]

Research Contributions

  • Development of copper-based nanomaterials that enhance cancer treatment through cuproptosis mechanisms.[3]
  • Investigation of DNA-damage-targeting copper nanoparticles for improved radiotherapy outcomes.[2]
  • Contributions to magnetic robotization concepts for future clinical medicine applications.[4]
  • Design of programmable bistable kirigami morphing structures with adaptable mechanical properties.[5]
  • Research on oxygen-enriched vacancy spinel oxides for environmental pollutant degradation.[6]

Publications

Representative publications include studies in Materials Today Bio, Advanced Science, Magnetic Medicine, Cell Reports Physical Science, and the Journal of Environmental Chemical Engineering. These journals span biomedical materials, clinical technology, environmental engineering, and advanced physical sciences, demonstrating the interdisciplinary nature of Liu’s research output.[2]

Research Impact

The influence of Liu’s work is reflected through citation performance, international journal visibility, and engagement with emerging scientific topics. Research on nanotherapeutics and advanced materials contributes to ongoing discussions regarding targeted treatments, responsive systems, and sustainable engineering solutions. Such contributions provide a foundation for future translational and interdisciplinary investigations.[1]

Award Suitability

Xiaofei Liu demonstrates characteristics aligned with the objectives of the Innovative Research Award, including originality, interdisciplinary collaboration, publication quality, and measurable scholarly impact. The integration of materials science with biomedical and environmental applications illustrates a research agenda focused on both scientific advancement and societal relevance.[3]

Conclusion

The academic record of Xiaofei Liu reflects significant engagement with contemporary challenges in chemistry and materials science. Through innovative research on nanomedicine, advanced materials, environmental technologies, and engineering systems, Liu has established a scholarly profile characterized by interdisciplinary contributions and sustained academic impact. These accomplishments support recognition within programs celebrating excellence in research and innovation.

References

  1. Elsevier. (n.d.). Scopus author details: Xiaofei Liu, Author ID bURkwhEAAAAJ. Scopus.
    https://scholar.google.com/citations?user=bURkwhEAAAAJ&hl=en
  2. Liu, X. (2026). DNA-Damage-Targeting Copper Nanoparticles Induce Cuproptosis for Enhanced Cancer Radiotherapy. Materials Today Bio.
    https://doi.org/10.1016/j.mtbio.2026.103365
  3. Liu, X. (2025). Copper‐Based Nanotubes That Enhance Starvation Therapy Through Cuproptosis for Synergistic Cancer Treatment. Advanced Science.
    https://doi.org/10.1002/advs.202504121
  4. Liu, X. (2025). Magnetic Robotization in Clinic Medicine: A Review. Magnetic Medicine.
    https://doi.org/10.1016/j.magmed.2025.100037
  5. Liu, X. (2024). A Unified Cut Topology That Endows Programmable Bistability in Modular Kirigami Morphing Structures. Cell Reports Physical Science.
    https://doi.org/10.1016/j.xcrp.2024.102335
  6. Liu, X. (2024). Oxygen-enriched Vacancy Spinel Mn-Co Oxides by Deep Thermal Reduction for Enhanced Antibiotics Degradation Efficiency. Journal of Environmental Chemical Engineering.
    https://doi.org/10.1016/j.jece.2024.111988

Manjun Guan | Chemistry | Innovative Research Award

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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.

Tahereh Momeni Isfahani | Analytical chemistry | Best Researcher Award

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Assoc Prof Dr. Tahereh Momeni Isfahani | Analytical chemistry | Best Researcher Award

Science Committee at Arak Branch, Islamic Azad University, Iran

Dr. Tahereh Momeni Isfahani, a highly esteemed academic and researcher, has demonstrated exceptional dedication to the field of Analytical Chemistry. With a strong educational foundation and extensive experience, she has made significant contributions to research in separation and extraction techniques, chemometrics, and cyclic voltammetry. Her recent publications in high-impact journals, particularly in developing novel methods for ultra-trace gold quantification, underscore her innovative approach to complex analytical challenges.

 

📝professional profile

ORCID

Scopus Profile

Google Scholar

🎓Educational Details:

Dr. Momeni Isfahani holds a Ph.D. in Analytical Chemistry from Islamic Azad University of Arak, Iran. Her research during her doctoral studies focused on the simultaneous determination of cations using spectrophotometric and chemometric methods, laying the groundwork for her future contributions to the field. She also holds an M.Sc. in Analytical Chemistry from the University of Isfahan, where she designed and constructed an optical sensor for nickel ion detection, showcasing her early aptitude for practical and impactful research.

👨‍🏫Professional Experience:

With over 19 years of experience in academia, Dr. Momeni Isfahani has held various teaching positions, progressing from Lecturer to Associate Professor at Islamic Azad University of Arak. Her expertise is reflected in her teaching of both undergraduate and postgraduate courses in Analytical Chemistry, where she covers advanced topics such as Instrumental Methods of Analysis and New Approaches in Analytical Chemistry. She has supervised numerous MSc and PhD students, contributing significantly to the academic growth of her students and the broader research community.

Research :

Dr. Momeni Isfahani’s research portfolio is robust, focusing on Solid Phase Extraction Methods, Liquid-Liquid Extraction, Cloud Point Extraction, Sensor Fabrication, Cyclic Voltammetry, QSAR, and QSPR. Her work on the development of novel methods for ultra-trace gold quantification in cosmetics is particularly noteworthy. This innovative approach, involving a syringe-in-syringe technique and a tailor-made quartz atom concentrator tube for FAAS, has set new standards in the field of analytical chemistry.

Conclusion:

In conclusion, Dr. Tahereh Momeni Isfahani exemplifies the qualities of an outstanding researcher. Her academic achievements, innovative research, and dedication to teaching make her a worthy recipient of the Research for Best Researcher Award. Her work continues to inspire and influence the next generation of researchers, solidifying her legacy in the scientific community.

📚Publications to Noted

Spectrophotometric determination of mercury in water samples after cloud point extraction using nonionic surfactant Triton X-114

Authors: A. Niazi, T. Momeni-Isfahani, Z. Ahmari

Journal: Journal of Hazardous Materials

Year: 2009

Citations: 114

Decolorization of crystal violet from aqueous solutions by a novel adsorbent chitosan/nanodiopside using response surface methodology and artificial neural network-genetic …

Authors: S.G. Nasab, A. Semnani, A. Teimouri, M.J. Yazd, T.M. Isfahani, S. Habibollahi

Journal: International Journal of Biological Macromolecules

Year: 2019

Citations: 80

Removal of Congo red from aqueous solution by hydroxyapatite nanoparticles loaded on zein as an efficient and green adsorbent: response surface methodology and artificial …

Authors: S. Ghanavati Nasab, A. Semnani, A. Teimouri, H. Kahkesh, T.M. Isfahani, F. Shafiei

Journal: Journal of Polymers and the Environment

Year: 2018

Citations: 60

Development of an optical chemical sensor based on 2-(5-bromo-2-pyridylazo)-5-(diethylamino) phenol in Nafion for determination of nickel ion

Authors: M.K. Amini, T. Momeni-Isfahani, J.H. Khorasani, M. Pourhossein

Journal: Talanta

Year: 2004

Citations: 56

Quantitative Structure-Property Relationship (QSPR) investigation of camptothecin drugs derivatives

Authors: N. Ahmadinejad, F. Shafiei, T.M. Isfahani

Journal: Combinatorial Chemistry & High Throughput Screening

Year: 2018

Citations: 13

Spectrophotometric determination of acidity constants of 2-(2-Thiazolylazo)-Cresol in various water–organic solvent media mixtures using chemometrics methods

Authors: T. Momeni-Isfahani, A. Niazi

Journal: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Year: 2014

Citations: 13

Hofmann N‐alkylation of aniline derivatives with alcohols using ferric perchlorate immobilized on SiO2 as a catalyst through Box–Behnken experimental design

Authors: M. Ghanimati, M. Abdoli Senejani, T.M. Isfahani, M.A. Bodaghifard

Journal: Applied Organometallic Chemistry

Year: 2018

Citations: 11

Superparamagnetic core‐shell metal–organic framework Fe3O4@Ni‐MOF as efficient catalyst for oxidation of 1,4‐dihydropyridines using hydrogen peroxide

Authors: M. Janani, M.A. Senejani, T.M. Isfahani

Journal: Applied Organometallic Chemistry

Year: 2021

Citations: 10

Application of robust syringe-to-syringe dispersive liquid-phase microextraction method for preconcentration and determination of mercury with the aid of an experimental design

Authors: M. Hayati, M. Ramezani, G. Rezanejade Bardajee, T. Momeni Isfahani

Journal: Separation Science and Technology

Year: 2022

Citations: 9

Prediction of oral acute toxicity of organophosphates using QSAR methods

Authors: M. Kianpour, E. Mohammadinasab, T.M. Isfahani

Journal: Current Computer-Aided Drug Design

Year: 2021

Citations: 9