Molecular Characterization of Copper Resistance Bacterial Strains and its Optimization Using Statistical Methods DOI Creative Commons
Jayeshkumar R. Ruparelia, Rishit Soni, Hiren K. Patel

и другие.

Journal of Pure and Applied Microbiology, Год журнала: 2024, Номер 18(2), С. 1151 - 1166

Опубликована: Май 27, 2024

Heavy metal contamination is one of the key environmental complications. Due to some disadvantages conventional methods, use active organisms becoming more popular technique remove it. In present study, primarily 35 bacterial strains were discovered in containing media. After being identified resistance power different copper concentrations (100–1000 mg/l), JRHM33 had highest level up 1000 mg/l copper. Using 16S rRNA sequencing, strain was and revealed 99% similarity pseudomonas aeruginosa. Sequencing bioinformatics study using conserved domain analysis supported laccase gene has classification as a member multicopper oxidase superfamily, which reduction capacity ions. Analysis phenotype microarray (PM) technology provides an insight into metabolic profiling microbial cell Pseudomonas aeruginosa JRHM33. Furthermore, central composite design response surface methodology (CCD-RSM), successive optimization process parameters attempted for maximum Maximum 68.71% Cu achieved at 6.71 pH, 90.61 min incubation time, 5 ml inoculum size, 113 rpm agitation. The generated model R2 value 0.9834, indicating that ANOVA gave it very significant result. findings validation experiment showed remarkable between projected experimental results. It determined isolated from metal-contaminated effluent employ their natural change toxic heavy metals less harmful or nontoxic forms.

Язык: Английский

Molecular Characterization of Copper Resistance Bacterial Strains and its Optimization Using Statistical Methods DOI Creative Commons
Jayeshkumar R. Ruparelia, Rishit Soni, Hiren K. Patel

и другие.

Journal of Pure and Applied Microbiology, Год журнала: 2024, Номер 18(2), С. 1151 - 1166

Опубликована: Май 27, 2024

Heavy metal contamination is one of the key environmental complications. Due to some disadvantages conventional methods, use active organisms becoming more popular technique remove it. In present study, primarily 35 bacterial strains were discovered in containing media. After being identified resistance power different copper concentrations (100–1000 mg/l), JRHM33 had highest level up 1000 mg/l copper. Using 16S rRNA sequencing, strain was and revealed 99% similarity pseudomonas aeruginosa. Sequencing bioinformatics study using conserved domain analysis supported laccase gene has classification as a member multicopper oxidase superfamily, which reduction capacity ions. Analysis phenotype microarray (PM) technology provides an insight into metabolic profiling microbial cell Pseudomonas aeruginosa JRHM33. Furthermore, central composite design response surface methodology (CCD-RSM), successive optimization process parameters attempted for maximum Maximum 68.71% Cu achieved at 6.71 pH, 90.61 min incubation time, 5 ml inoculum size, 113 rpm agitation. The generated model R2 value 0.9834, indicating that ANOVA gave it very significant result. findings validation experiment showed remarkable between projected experimental results. It determined isolated from metal-contaminated effluent employ their natural change toxic heavy metals less harmful or nontoxic forms.

Язык: Английский

Процитировано

0