INFIQC   05475
INSTITUTO DE INVESTIGACIONES EN FISICO- QUIMICA DE CORDOBA
Unidad Ejecutora - UE
artículos
Título:
The optimization of the culture medium to design Streptomyces sp. M7 based impedimetric biosensors
Autor/es:
MARIA LORENA LÓPEZ RODRIGUEZ; ROSSANA MADRID; CARLA E. GIACOMELLI
Revista:
SENSORS AND ACTUATORS B-CHEMICAL
Editorial:
ELSEVIER SCIENCE SA
Referencias:
Lugar: Amsterdam; Año: 2014 vol. 193 p. 230 - 237
ISSN:
0925-4005
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.