A simplified predictive model for biologically activated carbon fixed beds

G. M. Walker; L. R. Weatherley

doi:10.1016/S0032-9592(96)00094-5

A simplified predictive model for biologically activated carbon fixed beds

G. M. Walker, L. R. Weatherley

Queen's University Belfast

Research output: Contribution to journal › Article › peer-review

Abstract

Previous researchers have indicated that biological activity in fixed bed adsorption systems can dramatically increase the expected capacity of granular activated carbon beds. The adsorbate species used in this work were acid dyes found in textile industry wastewater which had azo and di-azo structures. Pure bacterial cultures were selected which had the ability to degrade the dyes. Granular activated carbon (GAC F400) beds seeded with pure cultures showed increased dye removal over sterile beds. The performance of the system was described using a model which combines carbon adsorption and biological degradation of the adsorbate on the surface of the particle using the Monod equation. The model proved effective in describing the initial stages of the biologically activated carbon system.

Original language	English
Pages (from-to)	327-335
Number of pages	9
Journal	Process Biochemistry
Volume	32
Issue number	4
DOIs	https://doi.org/10.1016/S0032-9592(96)00094-5
Publication status	Published - May 1997
Externally published	Yes

Keywords

acid dyes
adsorption
bacterial species
biologically activated carbon
mathematical model
wastewater treatment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/S0032-9592(96)00094-5

Cite this

@article{092e547dc2d545cc90f422ea8597479e,

title = "A simplified predictive model for biologically activated carbon fixed beds",

abstract = "Previous researchers have indicated that biological activity in fixed bed adsorption systems can dramatically increase the expected capacity of granular activated carbon beds. The adsorbate species used in this work were acid dyes found in textile industry wastewater which had azo and di-azo structures. Pure bacterial cultures were selected which had the ability to degrade the dyes. Granular activated carbon (GAC F400) beds seeded with pure cultures showed increased dye removal over sterile beds. The performance of the system was described using a model which combines carbon adsorption and biological degradation of the adsorbate on the surface of the particle using the Monod equation. The model proved effective in describing the initial stages of the biologically activated carbon system.",

keywords = "acid dyes, adsorption, bacterial species, biologically activated carbon, mathematical model, wastewater treatment",

author = "Walker, {G. M.} and Weatherley, {L. R.}",

year = "1997",

month = may,

doi = "10.1016/S0032-9592(96)00094-5",

language = "English",

volume = "32",

pages = "327--335",

journal = "Process Biochemistry",

issn = "1359-5113",

number = "4",

}

TY - JOUR

T1 - A simplified predictive model for biologically activated carbon fixed beds

AU - Walker, G. M.

AU - Weatherley, L. R.

PY - 1997/5

Y1 - 1997/5

N2 - Previous researchers have indicated that biological activity in fixed bed adsorption systems can dramatically increase the expected capacity of granular activated carbon beds. The adsorbate species used in this work were acid dyes found in textile industry wastewater which had azo and di-azo structures. Pure bacterial cultures were selected which had the ability to degrade the dyes. Granular activated carbon (GAC F400) beds seeded with pure cultures showed increased dye removal over sterile beds. The performance of the system was described using a model which combines carbon adsorption and biological degradation of the adsorbate on the surface of the particle using the Monod equation. The model proved effective in describing the initial stages of the biologically activated carbon system.

AB - Previous researchers have indicated that biological activity in fixed bed adsorption systems can dramatically increase the expected capacity of granular activated carbon beds. The adsorbate species used in this work were acid dyes found in textile industry wastewater which had azo and di-azo structures. Pure bacterial cultures were selected which had the ability to degrade the dyes. Granular activated carbon (GAC F400) beds seeded with pure cultures showed increased dye removal over sterile beds. The performance of the system was described using a model which combines carbon adsorption and biological degradation of the adsorbate on the surface of the particle using the Monod equation. The model proved effective in describing the initial stages of the biologically activated carbon system.

KW - acid dyes

KW - adsorption

KW - bacterial species

KW - biologically activated carbon

KW - mathematical model

KW - wastewater treatment

UR - http://www.scopus.com/inward/record.url?scp=0031037785&partnerID=8YFLogxK

U2 - 10.1016/S0032-9592(96)00094-5

DO - 10.1016/S0032-9592(96)00094-5

M3 - Article

AN - SCOPUS:0031037785

SN - 1359-5113

VL - 32

SP - 327

EP - 335

JO - Process Biochemistry

JF - Process Biochemistry

IS - 4

ER -

A simplified predictive model for biologically activated carbon fixed beds

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this