Effects of Estrogen Contamination on Human Cells: Modeling and Prediction Based on Michaelis-Menten Kinetics

Author

Ibrahim, Fadi ; Huang, Biao ; Xing, James Z. ; Roa, Wilson ; Gabos, Stephan

Author_Institution

Dept. of Chem. & Mater. Eng., Univ. of Alberta, Edmonton, AB, Canada

fYear

2009

fDate

11-13 June 2009

Firstpage

1

Lastpage

4

Abstract

In this paper, a novel method is developed to predict the effect of estrogen on human living cells. This method is based on dynamic measurements coupled with a Michaelis-Menten type of mathematical modeling and parameter estimation procedure. The novelty of this method is the use of dynamic measurements generated by a real-time cell electronic sensor (RT-CES) system and the development of a mathematical model to predict the cell proliferation caused by estrogen stimulation.

Keywords

biochemistry; biomedical electronics; biomedical measurement; cellular biophysics; parameter estimation; reaction kinetics theory; Michaelis-Menten kinetics; cell proliferation; dynamic measurement; estrogen contamination; human cell modeling; parameter estimation procedure; real-time cell electronic sensor; Cancer; Chemicals; Contamination; Endocrine system; Humans; Kinetic theory; Mathematical model; Pollution measurement; Predictive models; Water pollution;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2901-1

Electronic_ISBN

978-1-4244-2902-8

Type

conf

DOI

10.1109/ICBBE.2009.5162739

Filename

5162739