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Journal ArticleDOI

Thiobacillus denitrificans immobilized biotrickling filter for NO2 removal

TLDR
In this paper, the removal efficiency of a biotrikling filter was evaluated under different operating conditions, where Activated Alumina (AA) was used as the immobilization matrix for Thiobacillus denitrificans in the biotrickling filter.
Abstract
Nitrogen dioxide (NO2) removal efficiency of a biotrikling filter was evaluated under different operating conditions. Activated alumina (AA) was used as the immobilization matrix for Thiobacillus denitrificans (T. denitrificans) in the biotrickling filter. Batch studies were conducted to find out the degradation kinetics of nitrate and nitrite for a concentration range of 600–10,000 mg/L expressed as nitrogen. Nitrite exhibited maximum degradation rate followed by nitrate. Electron acceptor in the form of NO2 gas showed least removal efficiency. Bio-kinetic parameters for T. denitrificans, by utilizing nitrate and nitrite as electron acceptors, were also evaluated. The μmax (Maximum specific growth rate) and YT (Yield coefficient) values for T. denitrificans in the presence of nitrate and nitrite were 1.03 h−1, 0.275 and 0.63 h−1, 0.1316 respectively. Column study was conducted to find the adsorption and desorption potential of activated alumina. The adsorbed NO2 from AA could easily be desorbed using distilled water with an efficiency of 76±0.8%. Once fed batch studies were conducted to evaluate the NO2 removal efficiency by a biotrickling filter. With an influent NO2 gas concentration of 2,735 ppm, the reactor could achieve a removal efficiency of 99% within 2 min from gas phase and within 96 h from the liquid phase, with an average biomass concentration of 200 mg/g of AA. The mechanism of NO2 gas removal in the biotrickling filter seems to be the dissolution of NO2 in water to form NO 3 − , conversion of NO 3 − to NO2 −, and finally to N2 gas.

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Citations
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Journal ArticleDOI

A review on the removal of nitrogen oxides from polluted flow by bioreactors

TL;DR: The main pollutants of nitrogen oxides (NOx) released during a combustion process are Nitric oxide (NO) and nitrogen dioxide (NO2) which induce harmful effects both to the environment and human beings.
Journal ArticleDOI

Physicochemical and Biochemical Approaches for Treatment of Gaseous Emissions Containing NOx

TL;DR: In this paper, the authors classified the primary and secondary NOx control techniques into two categories: primary control techniques modify the existing combustion methods to limit the production of NOx, which includes various physical and chemical approaches, whereas the secondary control techniques involve chemical reduction of NOX in flue gas using a chemical reducing agent such as ammonia or urea, reacting on a specially engineered catalyst surface or by absorption of the NOx into a special chelating liquid, and then reducing the chelate-NOx complex to regenerate the CH complex to re-form the CH.
Journal ArticleDOI

High nitrate removal by starch-stabilized Fe0 nanoparticles in aqueous solution in a controlled system.

TL;DR: Experimental results suggested that biodenitrification increased by decreasing initial nitrate concentration, and indicated that Fe2+ could be used as the only electron donor or as the additional electron donor in the presence of S2O3 to increase denitrification efficiency.
Journal ArticleDOI

Effect of operating temperature on transient behaviour of a biofilter treating waste-air containing n-butanol vapour during intermittent loading

TL;DR: Transient-state removal of n-butanol vapour was investigated in a biofilter packed with compost and lava rock at different operating temperatures in the range of 30–45°C under intermittent loading and showed that adsorption was the major mechanism in the start-up of BF at each operating condition; although the impact of Adsorption declined as temperature increased from 30°C to 45°C.
Journal ArticleDOI

Investigating the Molecular Mechanism of Optimized Bio Denitrification by Thiobacillus denitrificans in the Presence of Metal Nanostructures in Bioreactor

TL;DR: The results of this study showed that the expression of all three genes nirS, narH and recA in cells treated with St-Fe0 and CQD- Fe0 significantly increased compared to the control group, which indicates the high impact of these nanoparticles, especially CQd-Fe 0 on bio denitrification of this microorganism.
References
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Book ChapterDOI

Chapter III Chemical Analysis of Microbial Cells

TL;DR: This chapter discusses the chemical analysis of microbial cells and wet- and dry-weight determinations of bacterial samples and assay of total cell numbers are described, because analytical results must refer to one or other of these values.
Journal ArticleDOI

Biofiltration: An Innovative Air Pollution Control Technology For VOC Emissions

TL;DR: The history and current status of biofiltration is reviewed, its underlying scientific and engineering principles are outlined, and the applicability of biofilters for a wide range of specific emission sources are discussed.
Book

Air Pollution: Its Origin and Control

TL;DR: The Clean Air Act Amendments of 1977 and Prevention of Significant Deterioration (CAP) as mentioned in this paper was the first attempt to address the air pollution problem in the United States, and it has been successfully implemented in many other countries.
Journal ArticleDOI

Kinetics of organic compound removal from waste gases with a biological filter.

TL;DR: In order to eliminate organic pollutants in waste gases, a biological filter bed technique has been developed, with a high self‐regenerating capacity and a low pressure drop, which enables the prediction of the elimination capacity of the filter bed.
Journal ArticleDOI

Phenol removal from waste gases with a biological filter by Pseudomonas putida

TL;DR: Investigation of the feasibility of biologically removing phenol from waste gases by means of a biofilter using a Pseudomonas putida strain showed that the pure culture is more efficient than the mixed one, even when the latter has undergone three successive acclimatization tests.
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