Artículo

The optimization of the culture medium to design Streptomyces sp. M7 based impedimetric biosensors

López Rodriguez, Maria Lorena Icon; Madrid, Rossana Elena Icon; Giacomelli, Carla Eugenia Icon

Otros responsables

Fecha

12/2013

Editorial

Elsevier Science

Revista

Sensors and Actuators B: Chemical

Título del libro

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Fecha del evento

Institución organizadora

ISSN

0925-4005

eISSN

ISBN

Idioma

Inglés

Tipo del evento

Resumen

Electrochemical impedance has been widely used in microbiology in detection, quantifying and identifying microorganisms. Streptomyces strain M7 (SM7) is capable to grow in the presence of organochlorine pesticides (OCPs) as carbon source, using the amino acid asparagine as nitrogen source. This bacterial growth can be valuable and hence used in an impedimetric biosensor to detect and, eventually, quantify these pesticides. Since amino acids frequently used in culture media interfere in impedance determinations, this work presents an optimized design regarding the culture medium capabilities on the impedance response of SM7 activity, as a first stage toward the development of an impedimetric biosensor to detect OCPs. With such a purpose, SM7 growth in liquid or adhered to a solid media was measured by impedance in the presence of asparagine or (NH4)2SO4 as nitrogen source and glucose as a model carbon source. Impedimetric SM7 measurements were performed in the Quantibac instrument that can be employed to evaluate the metabolic behavior of microorganisms in different culture media using two fixed frequencies. We found that SM7 used asparagine as carbon source in the absence of glucose. Since this consumption strongly contributed to the impedance signal, this is not a suitable medium to be used with an impedimetric biosensor. On the other hand, (NH4)2SO4 appears as an ideal medium because it supports SM7 growth in liquid and solid media without interfering the impedimetric detection. This simple and cost-effective technique combined with a spore-based platform is a promising strategy to design OCPs bacteria-based biosensors.

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