Statistical Enhancement of Cyanide Degradation Using Microbial Consortium

Kumar, Virender; Kumar, Vijay; Bhalla, Tek Chand

doi:10.4172/1948-5948.1000237

Cited by 7 publications

(4 citation statements)

References 20 publications

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“…After incubation, the viability of the isolated bacteria at each NaCN concentration was verified by streak-plating on nutrient agar plates. An alkaline pH above 10.5 was maintained to minimize the volatilization of cyanide as HCN [43][44][45]. Bacteria viable at cyanide levels above 1000 ppm were selected for further characterization based on their cyanide degradation potential.…”

Section: Bacterial Isolationmentioning

confidence: 99%

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Cyanide Bioremediation by Bacillus subtilis under Alkaline Conditions

Cáceda Quiroz,

Fora Quispe,

Carpio Mamani

et al. 2023

Water

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Cyanide (CN) is a toxic environmental pollutant generated by various industrial activities, necessitating the application of bioremediation techniques for its degradation. Biodegradation is a more cost-effective and environmentally friendly technique with high efficiency in CN removal. This study isolated cyanide-degrading bacteria from Tutupaca mining site soil from Tacna, Peru. Bacillus subtilis strain TT10s was selected for its exceptional capacity to rapidly and completely eliminate cyanide under alkaline conditions (pH 10.5), removing 1000 ppm cyanide within 48 h. A kinetic analysis revealed that the biodegradation follows second-order rate kinetics (k2 = 0.08649 mg/(mg·h), R2 = 0.96622), consistent with the literature attribution of the rate-limiting step to the inducible cyanide dihydratase enzyme, which converts cyanide into ammonia and formate via the Michaelis–Menten model. Fourier-transform infrared spectroscopy (FTIR) spectral analysis further corroborated this enzymatic mechanism, showing the disappearance of CN peaks coupled with the emergence of ammonia (NH) and formate (C=O) peaks. Quantitative kinetic modelling integrated with FTIR profiles and degradation curves implicates cyanide dihydratase as the key rate-controlling enzyme in alkaline cyanide biodegradation without the need for an extra carbon source, generating interest for future bioremediation applications in highly contaminated environments.

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Section: Bacterial Isolationmentioning

confidence: 99%

“…Bacteria viable at cyanide levels above 1000 ppm were selected for further characterization based on their cyanide degradation potential. Gramme staining and biochemical testing were performed to verify the microscopic characteristics and taxonomy of the isolates [44].…”

Section: Bacterial Isolationmentioning

confidence: 99%

Cyanide Bioremediation by Bacillus subtilis under Alkaline Conditions

Cáceda Quiroz,

Fora Quispe,

Carpio Mamani

et al. 2023

Water

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“…La optimización del proceso de biodegradación se ha realizado en Bacillus sp., Serratia marcense, entre otros , Karamba et al, 2015Kumar et al, 2015;Mekuto et al, 2015;Mieizadeh et al, 2014, Moradkhari et al, 2018, pero la optimización de degradación de cianuro Teniendo en cuenta la concentración de cianuro y el tiempo, la degradación de 200 mg/L se efectuó en 90 horas con una concentración inicial de 400 ppm, similar a la optimización realizada por Mekuto et al, (2015), en la que las condiciones favorables fueron a 33.60 °C, pH 9.88 de 206.53 mg/l en 96 h, a partir de una concentración inicial − de cianuro de 500 mg CN /L. En el caso de Serratia marcescens, se observó que la bacteria degradaba el 95.6 % de 200 mg/L de KCN en las condiciones optimizadas, de pH 6, temperatura 32.5, tamaño de inóculo 20 %; y se informa que las bacterias degradan el cianuro en amoníaco, formamida o formiato y dióxido de carbono, subproductos menos tóxicos (Karamba et al, 2016).…”

Section: Determinación De La Eficiencia De Degradación De Cianuro Discusiónunclassified

Optimización de factores fisicoquímicos en la biodegradación de cianuro por Klebsiella sp.ART1, en biorreactor aireado

Mamani

Quiroz

2020

C&D

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El cianuro es una sustancia altamente tóxica que representa un problema para el ambiente. Además es letal para muchos organismos vivos. El objetivo fue optimizar parámetros fisicoquímicos de pH, temperatura y cianuro libre [CN-] en el proceso de biodegradación de cianuro por Klebsiella sp. ART1, en condiciones alcalinas y en biorreactores aireados, utilizando la metodología superficie respuesta (MSR). El modelo se ajustó mediante el diseño de Box- Behnken. La medición de cianuro libre y carga microbiana se realizaron cada 12 horas y la producción de amonio cada 24 horas.Además, se monitoreó constantemente el pH por un periodo de evaluación de 108 horas. Se obtuvo una tolerancia de 400 ppm de cianuro libre con un inóculo inicial de 2x108 cél/ml, alcanzando una eficiencia de biodegradación del 98 % en 60 horas de evaluación, el mismo que fue confirmado con el crecimiento bacteriano y con la producción de amonio. En el proceso de optimización solo el pH y [CN-] fueron estadísticamente significativos. Después del ajuste del modelo, se determinó que los parámetros óptimos de degradación de cianuro en condiciones alcalina fueron a una temperatura de 30 °C, pH 10 y [CN-] 250 ppm, logrando una eficiencia de biodegradación de cianuro del 99 %. Se concluyó que Klebsiella sp.ART1 fue capaz de degradar cianuro en productos menos tóxicos; esto sugiere que podría ser utilizada como una alternativa de tratamiento en procesos de biorremediación.

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“…The randomized experiments have to be performed in order to minimize the effects of unexplained variability in the actual responses due to extraneous factors [12]. Lately, many studies have applied this technique for the production of industrially important enzymes such as cyanide degradation ability of bacterial consortium was enhanced by the statistical methods of optimization [13]. Similarly, culture conditions have been optimized for enhanced production of protease from Bacillus subtilis [14].…”

Section: Introductionmentioning

confidence: 99%

Statistical Optimization of Production Conditions of Alkaline Pectin Lyase from Bacillus cereus using Response Surface Methodology

Reena¹,

Pooja²,

Nitish³

2016

J Food Ind Microbiol

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Pectin lyase finds applications in the degumming and retting of plant fibers where it degrades highly methylesterified pectin without prior action of any other pectinase. Response surface methodology (RSM) has been frequently utilized for the optimization of production process of industrially important enzymes from microbes. In the present work, fermentation conditions for the production of pectin lyase from Bacillus cereus were optimized using the factorial and central composite design of RSM. The cubic order polynomial regression model was found to be adequate and significant with a determination coefficient R 2 of 0.9505 (p<0.0001). The ANOVA analysis and three dimensional surface plots confirmed interaction among variables. The optimum values of variables were found to be pectin 4% (w/v), sodium carbonate 1% (w/v), manganese sulfate 0.055% (w/v) and magnesium sulfate 0.018% (w/v) at 150 rpm under response surface curves. After optimization, the experimental value of maximum activity of enzyme (3.37 U/ml) was found higher but close to the predicted value (2.68 U/ml) and the enzyme activity increased by 1.32 fold (32.16%).

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Statistical Enhancement of Cyanide Degradation Using Microbial Consortium

Cited by 7 publications

References 20 publications

Cyanide Bioremediation by Bacillus subtilis under Alkaline Conditions

Cyanide Bioremediation by Bacillus subtilis under Alkaline Conditions

Optimización de factores fisicoquímicos en la biodegradación de cianuro por Klebsiella sp.ART1, en biorreactor aireado

Statistical Optimization of Production Conditions of Alkaline Pectin Lyase from Bacillus cereus using Response Surface Methodology

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