Expressão heteróloga de biossurfactantes identificados em bibliotecas metagenômicas

The microorganisms have a vast genetic diversity and they are present throughout the biosphere, however, only about 1% of the species can be cultivated by traditional cultivation techniques. Within this diversity there is a huge pool genetic and biological being explored. The metagenomics has enabled direct access to microbial genome derived from environmental samples using independent methods of cultivation. The methodology enables to obtain functional information about the proteins, as well as identify potential products with biotechnological interest and new industrially exploitable biological resources, such as new solutions to environmental impacts. Oil-contaminated areas are characterized by a large accumulation of hydrocarbons and surfactants may be used for bioremediation. Thus, the metagenomic approach was used in this study in order to select genes involved in the degradation and hydrocarbon emulsification. In a previous work, the environmental DNA (eDNA) was extracted from soil samples collected from two different areas (Caatinga and Saline River) of Rio Grande do Norte (Brazil), the metagenomic libraries were constructed and functionally analyzed. The clone able to degrade the oil was evaluated for the ability to synthesize biosurfactants. The sequence analysis revealed an ORF with 897 bp, 298 amino acids and a protein with around 34 kDa. The search for homology in GenBank revealed sequence similarity with a hypothetical protein of representatives Halobacteriaceae family, who were recently shown as strains producing biosurfactants. The presence of the inserted coding sequence and the acquired phenotype was confirmed. Primers were designed and the ORF amplified by PCR. The ORF was subcloned into pETDuet-1 expression vector for subsequent purification of the protein of interest containing a histidine tail. The tests performed to confirm the biosurfactant activity and the ability of hydrocarbon degradation showed positive results. The immunodetection test (western blot) using the monoclonal AntiHis® confirmed the presence of the environmental protein. This study was the first to report a possible protein with biosurfactant activity obtained from a metagenomic approach

Controle feedback de nível baseado em sensor de imagem aplicado ao equipamento misturador-decantador à inversão de fases (MDIF®)

The treatment of wastewaters contaminated with oil is of great practical interest and it is fundamental in environmental issues. A relevant process, which has been studied on continuous treatment of contaminated water with oil, is the equipment denominated MDIF® (a mixer-settler based on phase inversion). An important variable during the operation of MDIF® is the water-solvent interface level in the separation section. The control of this level is essential both to avoid the dragging of the solvent during the water removal and improve the extraction efficiency of the oil by the solvent. The measurement of oil-water interface level (in line) is still a hard task. There are few sensors able to measure oil-water interface level in a reliable way. In the case of lab scale systems, there are no interface sensors with compatible dimensions. The objective of this work was to implement a level control system to the organic solvent/water interface level on the equipment MDIF®. The detection of the interface level is based on the acquisition and treatment of images obtained dynamically through a standard camera (webcam). The control strategy was developed to operate in feedback mode, where the level measure obtained by image detection is compared to the desired level and an action is taken on a control valve according to an implemented PID law. A control and data acquisition program was developed in Fortran to accomplish the following tasks: image acquisition; water-solvent interface identification; to perform decisions and send control signals; and to record data in files. Some experimental runs in open-loop were carried out using the MDIF® and random pulse disturbances were applied on the input variable (water outlet flow). The responses of interface level permitted the process identification by transfer models. From these models, the parameters for a PID controller were tuned by direct synthesis and tests in closed-loop were performed. Preliminary results for the feedback loop demonstrated that the sensor and the control strategy developed in this work were suitable for the control of organic solvent-water interface level