Effect of FE(II) Concentration on Bioleaching of Zinc from Sphalerite using Leptospirillum Ferriphilum: Kinetic Aspects
Venkatesa Prabhu. S1, Baskar. R2, Amare T.Adugna3, Gizachew Assefa. K4, Amsalu Gosu. A5
1Venkatea Prabhu. S*, Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.
2Baskar. R, Food Technology, Kongu Engineering College, Erode, India.
3Amare T. Adugna, Environmental Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.
4Gizachew Assefa. K, Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.
5Amsalu Gosu. A, Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 1492-1498 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1276109119/2019©BEIESP | DOI: 10.35940/ijeat.A1276.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: For a connected graph of order at least two, the strong monophonic problem is to determine a smallest set of vertices of such that, by fixing one monophonic path between each pair of the vertices of all vertices of are covered. In this paper, certain general properties satisfied by the strong monophonic sets are studied. Also, the strong monophonic number of a several families of graphs and computational complexity are determined. AMS Subject Classification: 05C12, 05C82
Keywords: Monophonic set, monophonic number, strong monophonic set, strong monophonic number, monophonic distance.