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Abstract

Computational Insight into Graphene Functionalization for DNA Sequencing: A DFT Approach †

by
Adnan Aliyu
1,2,*,
Benjamin Obi Tayo
3,
Toyese Oyegoke
2,4 and
Vitalis Chioh Anye
1
1
Materials Science & Engineering Department, School of Engineering, African University of Science & Technology, Abuja 900107, Nigeria
2
Green Science Promoter Forum—Modeling & Simulation, Pencil Team, ABU, Zaria 810211, Nigeria
3
School of Engineering, University of Central Oklahoma, Edmond, OK 73034, USA
4
Chemical Engineering Department, Ahmadu Bello University, Zaria 810211, Nigeria
*
Author to whom correspondence should be addressed.
†
Presented at the 3rd International Electronic Conference on Processes—Green and Sustainable Process Engineering and Process Systems Engineering (ECP 2024), 29–31 May 2024; Available online: https://sciforum.net/event/ECP2024.
Proceedings 2024, 105(1), 43; https://doi.org/10.3390/proceedings2024105043
Published: 28 May 2024
(This article belongs to the Proceedings of The 3rd International Electronic Conference on Processes—Green and Sustainable Process Engineering and Process Systems Engineering)
Versions Notes

Excerpt

Note: In lieu of an abstract, this is an excerpt from the first page.

Most diseases, such as cancer, gene mutations, or infections among humans, are due to DNA nucleotide mis-sequence [...]
Keywords: graphene; adsorption; functional group; DNA sequencing; DFT graphene; adsorption; functional group; DNA sequencing; DFT

Share and Cite

MDPI and ACS Style

Aliyu, A.; Tayo, B.O.; Oyegoke, T.; Anye, V.C. Computational Insight into Graphene Functionalization for DNA Sequencing: A DFT Approach. Proceedings 2024, 105, 43. https://doi.org/10.3390/proceedings2024105043

AMA Style

Aliyu A, Tayo BO, Oyegoke T, Anye VC. Computational Insight into Graphene Functionalization for DNA Sequencing: A DFT Approach. Proceedings. 2024; 105(1):43. https://doi.org/10.3390/proceedings2024105043

Chicago/Turabian Style

Aliyu, Adnan, Benjamin Obi Tayo, Toyese Oyegoke, and Vitalis Chioh Anye. 2024. "Computational Insight into Graphene Functionalization for DNA Sequencing: A DFT Approach" Proceedings 105, no. 1: 43. https://doi.org/10.3390/proceedings2024105043

APA Style

Aliyu, A., Tayo, B. O., Oyegoke, T., & Anye, V. C. (2024). Computational Insight into Graphene Functionalization for DNA Sequencing: A DFT Approach. Proceedings, 105(1), 43. https://doi.org/10.3390/proceedings2024105043

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