Literature DB >> 28859550

Optimization and mechanisms for biodecoloration of a mixture of dyes by Trichosporon akiyoshidainum HP 2023.

María M Martorell1, María Del M Rosales Soro2, Hipólito F Pajot2, Lucía I C de Figueroa2,3.   

Abstract

Trichosporon akiyoshidainum HP2023 is a basidiomycetous yeast isolated from Las Yungas rainforest (Tucumán, Argentina) and selected based on its outstanding textile-dye-decolorizing ability. In this work, the decolorization process was optimized using Reactive Black 5 as dye model. Lactose and urea were chosen as carbon and nitrogen sources through a one-at-time approach. Afterwards, factorial designs were employed for medium optimization, leading to the formulation of a simpler optimized medium which contains in g L-1: lactose 10, yeast extract 1, urea 0.5, KH2PO4 1 and MgSO4 1. Temperature and agitation conditions were also optimized. The optimized medium and incubation conditions for dye removal were extrapolated to other dyes individually and a mixture of them. Dye removal process happened through both biosorption and biodegradation mechanisms, depending primarily on the dye structure. A positive relation between initial inoculum and dye removal rate and a negative relation between initial dye concentration and final dye removal percentages were found. Under optimized conditions, T. akiyoshidainum HP2023 was able to completely remove a mixture of dyes up to a concentration of 300 mg L-1, a concentration much higher than those expected in real effluents.

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Keywords:  Biodecolorization; biosorption; dyes; media optimization; yeasts

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Year:  2017        PMID: 28859550     DOI: 10.1080/09593330.2017.1375024

Source DB:  PubMed          Journal:  Environ Technol        ISSN: 0959-3330            Impact factor:   3.247


  1 in total

1.  Genome-wide overview of Trichosporon akiyoshidainum HP-2023, new insights into its mechanism of dye discoloration.

Authors:  Natalia María Bulacio Gil; Hipólito Fernando Pajot; María Del Milagro Rosales Soro; Lucía Inés Castellanos de Figueroa; Daniel Kurth
Journal:  3 Biotech       Date:  2018-10-05       Impact factor: 2.406

  1 in total

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