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Use of digital images to count colonies of biodiesel deteriogenic microorganisms
Camila Correa1, Pedro Henrique A Konzen2, Ânderson R Carvalho3
1Universidade Federal do Rio Grande do Sul, Instituto de Química, Porto Alegre, RS CEP 91501-970, Brazil.
Abstract:
This work presents a novel, robust procedure for the semi-automated counting of colony-forming units of Bacillus pumilus (a bacterium) and Meyerozyma guilliermondii (a yeast) both isolated from diesel oil. The counting is performed from digital images of Petri dishes containing the samples by a developed Python code, and the images are acquired from a low-cost scanning apparatus. The counting algorithm is based on the similar morphological characteristics of the bacterium and the yeast colonies. It was compared with classical counting methodology, and the results showed calibration and validation curves with a coefficient of determination (R2) of 0.99 and 0.98, respectively. The developed methodology is a valuable alternative to estimate the microbial contamination of biofuels.
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