Staff Profile

Francis Ojo
Dr. Francis Ojo

Position: Senior Lecturer

Department: Chemical Science

Email: ojo.francis@binghamuni.edu.ng

Biography

Lectures and research at Bingham University, Karu, Nasarawa State

Qualifications
SN Name Institution Year Obtained
1 Ph.D University of Ibadan 2020
Publications
SN Name Type Status
1 Corrosion Inhibition Potentials Of Ampicillin For Mild Steel In Hydrochloric Acid Solution Journal Article
2 Production Of Biodiesel From Terminalia Catappa Seed Oil With High Free Fatty Acids Using An Acid-Catalyzed Pretreatment Step. Journal Article
3 Theoretical Studies On The Efficiencies Of Some Triazolopyrimidine Derivatives As Corrosion Inhibitors Of Mild Steel In Acidic Medium Using Am1 And Dft Approach Journal Article
4 Biodiesel From The Seed Oil Of Treculia Africana With High Free Fatty Acid Content. Journal Article
5 Theoretical Study Of The Efficiency Of Some Nitro Benzenamine Derivatives In Acidic Medium To Serve As Excellent Organic Corrosion Inhibitors Of Mild Steel. Journal Article
6 Comparative Study Of Homogenous And Heterogenous Catalysis On Transesterifiation Of Terminalia Catappa Oil To Biodiesel. Journal Article
7 Antibiotic Adsorption By Acid Enhanced Dialiumguineense Seed Waste. Journal Article
8 Coagulation-Flocculation Process Of Citropsis Articulata Seed Powders As Natural Coagulant For Textile Effluent. Journal Article
9 Effect Of Iodide Ions On The Inhibitive Performance Of O-, M-, P-Nitroaniline On Mild Steel In Hydrochloric Acid Solution. Journal Article
10 Effect Of Iodide Ions On The Inhibitive Performance Of O-, M-, P-Nitroaniline On Mild Steel In Hydrochloric Acid Solution. Journal Article
11 Indole Derivatives As Organic Corrosion Inhibitors Of Low Carbon Steel In Hcl Medium‑Experimental And Theoretical Approach Journal Article
12 Corrosion Inhibition Potential Of Thiosemicarbazide Derivatives On Aluminium: Insight From Molecular Modelling And Qsars Approaches Journal Article
Research Interests
  • Corrosion Inhibition Studies, Adsorption Studies and Computational Chemistry