2000•The Research of Environmental SciencesRequires access

Study on Oily Wastewater Treatment with High-Effective Acclimated Bacteria

Shen Yi

Open publisher page 0 citations

Abstract

Twelve bacteria strains were isolated from four kinds of activated sludge. The preliminary experiment showed that the oil removal rate of all bacteria strains can reach 80% or above in the condition of high concentration of oil (COD Cr 10 g/L). The oil removal rates of bacteria strain GSH 1, GSH 2 and GSH 3 are 94.2%, 92.9% and 92.5%, respectively. Strain GSH 1 was used in further static experiments to estimate the impact of some conditions: Surfactant did not restrain the activity of GSH 1 strain, but improve the oil removal rate. Changes of oil concentration affected treating time and process of biodegradation. The optimum pH was between 6 and 7, the optimum temperature was between 32~45 ℃, and oil concentration is less than 2 g/L. In practical process of treating restaurant wastewater, the COD Cr removal rate reaches the level higher than 86% in 30hrs. This high effective acclimated bacterium has excellent ability of removing oil pollutants in conditions of high concentration of oil and surfactant.

About this research paper

What this paper is about

Twelve bacteria strains were isolated from four kinds of activated sludge. The preliminary experiment showed that the oil removal rate of all bacteria strains can reach 80% or above in the condition of high concentration of oil (COD Cr 10 g/L). The oil removal rates of bacteria strain GSH 1, GSH 2 and GSH 3 are 94.2%, 92.9% and 92.5%, respectively. Strain GSH 1 was used in further static experiments to estimate the impact of some conditions: Surfactant did not restrain the activity of GSH 1 strain, but improve the oil removal rate. Changes of oil concentration affected treating time and process of biodegradation. The optimum pH was between 6 and 7, the optimum temperature was between 32~45 ℃, and oil concentration is less than 2 g/L. In practical process of treating restaurant wastewater, the COD Cr removal rate reaches the level higher than 86% in 30hrs. This high effective acclimated bacterium has excellent ability of removing oil pollutants in conditions of high concentration of oil and surfactant.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Twelve bacteria strains were isolated from four kinds of activated sludge. The preliminary experiment showed that the oil removal rate of all bacteria strains can reach 80% or above in the condition of high concentration of oil (COD Cr 10 g/L). The oil removal rates of bacteria strain GSH 1, GSH 2 and GSH 3 are 94.2%, 92.9% and 92.5%, respectively. Strain GSH 1 was used in further static experiments to estimate the impact of some conditions: Surfactant did not restrain the activity of GSH 1 strain, but improve the oil removal rate. Changes of oil concentration affected treating time and process of biodegradation. The optimum pH was between 6 and 7, the optimum temperature was between 32~45 ℃, and oil concentration is less than 2 g/L. In practical process of treating restaurant wastewater, the COD Cr removal rate reaches the level higher than 86% in 30hrs. This high effective acclimated bacterium has excellent ability of removing oil pollutants in conditions of high concentration of oil and surfactant.

Key concepts: Bacteria, Biodegradation, Pulmonary surfactant, Wastewater, Pollutant, Chemistry, Activated sludge, Strain (injury)

Related papers

Back to paper searchBrowse research topicsOriginal source
Study on Oily Wastewater Treatment with High-Effective Acclimated Bacteria — Research Paper | ScholarLens