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    American Institute of Mathematical Sciences (AIMS) ; 2023
    In:  AIMS Environmental Science Vol. 10, No. 3 ( 2023), p. 424-445
    In: AIMS Environmental Science, American Institute of Mathematical Sciences (AIMS), Vol. 10, No. 3 ( 2023), p. 424-445
    Abstract: 〈abstract〉〈p〉Juru River is one of the most polluted rivers in Malaysia. A dye-degrading bacterial consortium has been isolated from the river's sediment. This consortium JR3 consists of 〈italic〉Pseudomonas aeruginosa〈/italic〉 MM01, 〈italic〉Enterobacter〈/italic〉 sp. MM05 and 〈italic〉Serratia marcescens〈/italic〉 MM06, which were able to decolorize up to 700 ppm of the Reactive Red 120 (RR120) dye under optimal conditions with limited substrate available. Substrate inhibition kinetics were investigated, and, based on the best model, Aiba, the maximum growth rate was 0.795 h〈sup〉–1〈/sup〉, while the saturation constant and inhibitory constant were 0.185% and 0.14%, respectively. In addition, the influence of various metal ions on the growth and decolorization rate of this bacterial consortium on RR120 was investigated. Chromium showed the weakest effect on the decolorization of 200 ppm RR120, with 73.5% removal and bacterial growth of 11.461 log CFU mL〈sup〉–1〈/sup〉. Zinc yielded the second weakest effect, followed by silver and lead, with percentages of RR120 decolorization of 63.8%, 54.6% and 50.5%, respectively. Meanwhile, cadmium, arsenic and copper reduced the decolorization of RR120 in consortium JR3 by half. Mercury strongly inhibited decolorization by 32.5%. Based on the least inhibited heavy metal in RR120 decolorization activity of consortium JR3, the best inhibitory kinetic model was Levenspiel, with a maximum growth rate of 0.632 h〈sup〉–1〈/sup〉, while the saturation constant and inhibitory constants were 15.08% and 0.5783%, respectively. The metal-tolerant azo dye-degrading bacterial consortium will be very useful in dye remediation in metal-laden polluted environments.〈/p〉〈/abstract〉
    Type of Medium: Online Resource
    ISSN: 2372-0352
    Language: Unknown
    Publisher: American Institute of Mathematical Sciences (AIMS)
    Publication Date: 2023
    detail.hit.zdb_id: 2776689-5
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