Isolation of Novel Aerobic denitrifier and optimization of process parameters for biological denitrification using RSM

dc.contributor.authorJoshi, K.
dc.contributor.authorNavalgund, N.
dc.contributor.authorShet, V.B.
dc.contributor.authorSrinikethan, G.
dc.contributor.authorAshwini
dc.contributor.authorSneha
dc.contributor.authorAnusha
dc.contributor.authorAparna, A.
dc.date.accessioned2026-02-05T09:30:38Z
dc.date.issued2019
dc.description.abstractThe study aimed to isolate and characterize a high efficiency novel bacterium for denitrification in waste water and also to optimize process parameters under aerobic condition. One of the bacteria chosen among four, displayed a maximum of 98% reduction of nitrate. The strain was identified as Enterobacter sp. NCCP-29 by biochemical tests and further identified based on similarity of PCR-16S rRNA using universal primers. The parameters (pH, temperature, agitation speed, C:N ratio) which effect the denitrification were screened using one factor at a time. The pH, temperature and C:N ratio exhibited significant effect on the denitrification using Enterobacter sp. NCCP-29. The levels of these parameters were optimized using a central composite design (CCD). A maximum of 98% denitrification was achieved at pH 6.5, temperature 30°C and C: N ratio of 3:1. The second order model was generated and found to have a good fit with R2 value of 0.93. Investigations revealed the ability of Enterobacter sp. NCCP-29 to remove nitrate under aerobic conditions. © 2019, Slovak University of Agriculture.
dc.identifier.citationJournal of Microbiology, Biotechnology and Food Sciences, 2019, 8, 6, pp. 1235-1241
dc.identifier.urihttps://doi.org/10.15414/jmbfs.2019.8.6.1235-1241
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/24814
dc.publisherSlovak University of Agriculture info@jmbfs.org
dc.subjectC:N ratio
dc.subjectEnterobacter sp. NCCP-29.
dc.subjectPH
dc.subjectPolymerase Chain Reaction
dc.subjectRSM
dc.subjectTemperature
dc.titleIsolation of Novel Aerobic denitrifier and optimization of process parameters for biological denitrification using RSM

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