Literature DB >> 17234243

Biological denitrification of high strength nitrate waste using preadapted denitrifying sludge.

Rashmi R Nair1, Pradip B Dhamole, S S Lele, Stanislaus F D'Souza.   

Abstract

Denitrification of synthetic high nitrate waste containing 9032 ppm NO(3)-N (40,000 ppm NO(3)) in a time period of only 6h has been achieved in our previous study using activated sludge. The activated sludge culture was acclimatized by a stepwise increase in the nitrate concentration of synthetic waste. In the present work, studies were carried out on the changing microbial population of the sludge and the physiology of nitrate metabolism during the various stages of adaptation process to high strength synthetic nitrate waste. During the course of adaptation, with an increase in the nitrate concentration, a sharp increase in the number of denitrifiers was found with an equally rapid decrease in the nitrifying community. Two key enzymes involved in the first two steps of the denitrification process were also studied during this period. The results of the study suggest that specific enzyme levels increase as the activated sludge adapts itself to higher nitrate concentrations. Biological denitrification of high nitrate waste is a slow process and to increase the rate of denitrification, parameters such as pH, temperature, C:N and biomass concentration of the process were optimized using orthogonal array method. Optimized conditions increased the specific nitrate reduction rate by 54% and specific nitrite reduction rate by 45%.

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Year:  2007        PMID: 17234243     DOI: 10.1016/j.chemosphere.2006.11.043

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  2 in total

1.  Denitrification of high nitrate wastewater in a cloth strip bioreactor with immobilized sludge.

Authors:  Rashmi R Nair; Stanislaus F D'Souza
Journal:  J Ind Microbiol Biotechnol       Date:  2012-07-26       Impact factor: 3.346

Review 2.  Anammox and partial denitrification coupling: a review.

Authors:  Qing-Guo You; Jian-Hui Wang; Gao-Xiang Qi; Yue-Ming Zhou; Zhi-Wei Guo; Yu Shen; Xu Gao
Journal:  RSC Adv       Date:  2020-03-27       Impact factor: 4.036

  2 in total

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