A mathematical model for imaging and killing cancer cells by using concepts of the Warburg effect in designing a Graphene system

Math Biosci Eng. 2022 Jan 17;19(3):2985-2995. doi: 10.3934/mbe.2022137.

Abstract

According to the Warburg effect, there are some significant differences between metabolisms, products and process of respirations of cancer cells and normal cells. For example, normal cells absorb oxygen and glucose and give water molecules, carbon dioxide, ATP molecules and some number of spinors; while cancer cells take glucose and give lactate, less number of ATP molecules and different number of spinors. Using this property, we can design a system from two graphene sheets that are connected by pairing the fourth free electrons of carbons. Then, we can break some pairs and produce some holes. The number of these holes should be equal to the number of radiated spinors by normal cells. Near a normal cell, all holes are filled and the graphene system doesn't emit any electrical current or wave. However, near a cancer cell, some extra holes or spinors remain that their motions produce some electrical currents. These currents force on cancer cell membranes and destroy them and consequently, cause the cell death. Also, these currents emit some electromagnetic waves which detectors could take them out of the human's body and consequently, they could play the main role in imaging.

Keywords: Warburg effect; cancer; graphene; imaging; quantum.

MeSH terms

  • Glucose / metabolism
  • Graphite*
  • Humans
  • Models, Theoretical
  • Neoplasms* / metabolism
  • Oxygen / metabolism

Substances

  • Graphite
  • Glucose
  • Oxygen