Event Title

Generation of Most-Probable-Number (MPN) Estimates of Indigenous Freshwater Bacteria Capable of Degrading Hydrocarbons

Location

CSU

Student's Major

Computer Information Science

Student's College

Science, Engineering and Technology

Mentor's Name

Elaine O. Hardwick

Mentor's Department

Biological Sciences

Mentor's College

Science, Engineering and Technology

Description

Many industrial and municipal wastes such as motor oil and phenol contain hydrocarbons that enter lakes and streams. Some aquatic bacteria exposed to these wastes can degrade the pollutants. The purpose of this project is to estimate the abundance of freshwater bacteria that degrade phenol and/ or motor oil as a source of nutrients for growth. Sediment samples, taken from Ox Bow Lake (Mankato, MN), will be amended with motor oil and phenol and then incubated for eight weeks. Samples will be removed to estimate bacterial abundance. In addition, an MPN technique will select for freshwater bacteria that can degrade these two types of hydrocarbons. Estimates of the abundance of hydrocarbondegrading bacteria will be accomplished by three different procedures: (i) a published MPN procedure, which uses Microsoft Excel program Solver; (ii) viable plate counts and (iii) total counts.

This document is currently not available here.

Share

COinS
 

Generation of Most-Probable-Number (MPN) Estimates of Indigenous Freshwater Bacteria Capable of Degrading Hydrocarbons

CSU

Many industrial and municipal wastes such as motor oil and phenol contain hydrocarbons that enter lakes and streams. Some aquatic bacteria exposed to these wastes can degrade the pollutants. The purpose of this project is to estimate the abundance of freshwater bacteria that degrade phenol and/ or motor oil as a source of nutrients for growth. Sediment samples, taken from Ox Bow Lake (Mankato, MN), will be amended with motor oil and phenol and then incubated for eight weeks. Samples will be removed to estimate bacterial abundance. In addition, an MPN technique will select for freshwater bacteria that can degrade these two types of hydrocarbons. Estimates of the abundance of hydrocarbondegrading bacteria will be accomplished by three different procedures: (i) a published MPN procedure, which uses Microsoft Excel program Solver; (ii) viable plate counts and (iii) total counts.