Nonlinear parameter estimation of nonylphenol biodegradation

Vishal Shah, Ra'ul Ordoñéz, Kauser Jahan, Ravi P. Ramachandran

Research output: Contribution to conferencePaperpeer-review


The use of surfactants to enhance the aqueous solubilization of hydrocarbons has been investigated extensively in recent years. Researchers have indicated that solubilization followed by microbial metabolism of organic contaminants is technically feasible and has potential as a remedial technology. Addition of surfactants, detergents and emulsifiers has been successfully applied for cleanup of petroleum-contaminated sites. However, recently a certain group of widely used alkylphenolethoxylates (APEs) surfactants was banned in Europe because scientists discovered that APE breakdown products are estrogenic and highly toxic to aquatic organisms. However, very little information is available on the biodegradation kinetics of nonylphenol. Kinetic information is necessary for predicting the fate of pollutants using mathematical models. This paper presents system identification results for the nonylphenol biodegradation process using nonlinear optimization. By using non-linear regression methods such as nonlinear least squares, one can obtain the biodegradation kinetics. This kinetic description is very helpful to environmental scientists and engineers to predict the fate and transport of pollutants in the environment. The paper demonstrates the expectations and the feasibility of results from such a non-linear process.

Original languageEnglish (US)
Number of pages6
StatePublished - Dec 1 2001
EventProceedings of the 2001 IEEE International Conference on Control Applications CCA '01 - Mexico City, Mexico
Duration: Sep 5 2001Sep 7 2001


OtherProceedings of the 2001 IEEE International Conference on Control Applications CCA '01
CityMexico City

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering


Dive into the research topics of 'Nonlinear parameter estimation of nonylphenol biodegradation'. Together they form a unique fingerprint.

Cite this