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1.
Rev. colomb. biotecnol ; 24(1): 6-18, ene.-jun. 2022. tab, graf
Artigo em Espanhol | LILACS-Express | LILACS | ID: biblio-1407961

RESUMO

RESUMEN Los hidrocarburos aromáticos monocíclicos: benceno, tolueno, etilbenceno y xileno (BTEX), presentes en crudo y refinados de petróleo, hacen parte de los compuestos con más impacto en el medio ambiente y la salud humana, debido a su naturaleza cancerígena, mutagénica y altamente tóxica. Esta investigación tuvo como objetivo obtener y caracterizar bacterias capaces de degradar tolueno. Se realizaron tres muestreos de suelo contaminado con hidrocarburos del Valle del Cauca en tres condiciones: gasolinería, derrame accidental y taller mecánico. Se aislaron bacterias capaces de crecer en tolueno fase vapor como única fuente de carbono y se caracterizaron a nivel morfológico, bioquímico y molecular. Para la caracterización molecular se amplificó, secuenció y analizó con herramientas bioinformáticas el gen ribosomal 16S. Se evaluó la utilización de tolueno directo con concentración al 1% como única fuente de carbono. Se logró aislar 29 bacterias con capacidad de metabolizar tolueno. La caracterización bioquímica y molecular identificó a las bacterias aisladas de suelo contaminado como Pseudomonas y Stenotrophomonas. Las bacterias aisladas en el taller mecánico resultaron ser los microorganismos con mejor crecimiento en tolueno como fuente de carbono, poseen un gran potencial para ser utilizadas para fines de biorremediación de suelos y aguas contaminadas con tolueno.


ABSTRACT Monocyclic aromatic hydrocarbons: benzene, toluene, ethylbenzene, and xylene (BTEX), present in crude oil and refined petroleum products, they are the compounds with a big impact on the environment and human health, due to their carcinogenic, mutagenic, and highly toxic. This research aimed to obtain and characterize bacteria capable of degrading toluene. Three samples of soil contaminated with hydrocarbons were carried out in three different conditions: oil station, accidental oil spill, and mechanical workshop. Bacteria capable of growing in toluene vapor as the unique carbon source were isolated and characterized at a morphological, biochemical, and molecular level. For molecular characterization, the 16S ribosomal gene was amplified, sequenced, and analyzed with bioinformatic tools. The use of direct toluene with 1% concentration as the sole carbon source was evaluated. It was possible to isolate 29 bacteria with the capacity to metabolize toluene. Biochemical and molecular characterization identified bacteria isolated from contaminated soil as Pseudomonas and Stenotrophomonas. The isolated strains in the mechanical workshop were the microorganisms with the best growth in toluene as a carbon source, they have great potential to be used for the bioremediation of soils and waters with toluene pollution.

2.
Sci Rep ; 7: 40203, 2017 01 09.
Artigo em Inglês | MEDLINE | ID: mdl-28067287

RESUMO

We report a smartphone-based device and associated imaging-processing algorithm to maximize the sensitivity of standard smartphone cameras, that can detect the presence of single-digit pW of radiant flux intensity. The proposed hardware and software, called bioluminescent-based analyte quantitation by smartphone (BAQS), provides an opportunity for onsite analysis and quantitation of luminescent signals from biological and non-biological sensing elements which emit photons in response to an analyte. A simple cradle that houses the smartphone, sample tube, and collection lens supports the measuring platform, while noise reduction by ensemble averaging simultaneously lowers the background and enhances the signal from emitted photons. Five different types of smartphones, both Android and iOS devices, were tested, and the top two candidates were used to evaluate luminescence from the bioluminescent reporter Pseudomonas fluorescens M3A. The best results were achieved by OnePlus One (android), which was able to detect luminescence from ~106 CFU/mL of the bio-reporter, which corresponds to ~107 photons/s with 180 seconds of integration time.


Assuntos
Medições Luminescentes/instrumentação , Medições Luminescentes/métodos , Fótons , Smartphone , Algoritmos , Técnicas Biossensoriais/instrumentação , Técnicas Biossensoriais/métodos , Processamento de Imagem Assistida por Computador/instrumentação , Processamento de Imagem Assistida por Computador/métodos , Razão Sinal-Ruído
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