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DETECTION OF POLYHYDROXYALKANOATE EXTRACTED OF Sphingomonas spp., ISOLATED FROM CONTAMINATED GROUND

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Polyhydroxyalkanoates (PHAs) are biodegradable polyesters synthesized by many bacteria and among the main factors that affect their economic viability is the efficient selection of bacterial strains in the conversion of substrates into the biopolymer. Through these considerations, this work was aimed to detect by Fourier Transform Infrared Spectroscopy (FTIR) if the extracted material from an isolated microorganism in ground sample contaminated by hydrocarbons produce PHAs. Samples of contaminated ground were collected in Morretes (PR) - Brazil area. The microorganisms isolation occurred in Mineral Salts Medium (MSM) without limitation, the selection of potential PHA producer occurred after sowing in MSM with limitation added Nile Red dye, followed by the inspection of bacterial colonies in a transilluminator. Colonies that exhibited fluorescence under direct exposure to ultraviolet light (312 nm) were inoculated in MMS with limitation and incubated at 30ºC for 96 h. The cell PHA extraction occurred with the aid of sodium hypochlorite, acetone and alcohol. For the sequencing of rDNA 16s region, the products of PCR were applied to capillary electrophoresis in ABI-Prism 3500 (Genetic Analyzer, USA) and the result was evaluated in the BLAST program (Basic Local Alignment Search Tool). The extracted material from the microorganism was analyzed in FTIR (Ncolet, model FTIR 4700, USA), spectral region between 4000 - 400 cm–1, with resolution of 2 cm–1 and scanning of 60 scans. The isolated bacterium was identified as Sphingomonas spp. genus (NC_009511.1). The spectrum showed similar bands to the characteristics of the polyhydroxybutyrates P(3HB), the functional group identified was C=O, which illustrate high absorption bands and polyesters characteristics. In order to stimulate biopolymer production and application in biodegradable packages is considered necessary to evaluate the PHA yield generated by Sphingomonas spp and optimize the use of substrates.