Reach Us +1 850 754 6199

Journal of Electrical Engineering and Electronic TechnologyISSN: 2325-9833

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Research Article, J Electr Eng Electron Technol Vol: 3 Issue: 1

Data Transformation Algorithm for Reliable Bacterial Concentration Detection Using the Impedance Method

Marco Grossi1*, Massimo Lanzoni1, Diego Matteuzzi2 and Bruno Riccò1
1Department of Electronics, Faculty of Engineering, University of Bologna, Bologna, Italy
2Department of Pharmaceutical Sciences, University of Bologna, Bologna, Italy
Corresponding author : Marco Grossi
Department of Electronics, Faculty of Engineering, University of Bologna, Bologna, Italy
Tel: +39 051/2093082; Fax: +39 051/2093785
Email: [email protected]
Received: September 27, 2013 Accepted: June 16, 2014 Published: June 19, 2014
Citation: Grossi M, Lanzoni M, Matteuzzi D, Riccò B (2014) Data Transformation Algorithm for Reliable Bacterial Concentration Detection Using the Impedance Method. J Electr Eng Electron Technol 3:1. doi:10.4172/2325-9833.1000111

Abstract

Data Transformation Algorithm for Reliable Bacterial Concentration Detection Using the Impedance Method

Bacterial contamination is a very important issue in different fields such as food quality control and environmental monitoring. High values of bacterial concentration and/or the presence of pathogenic bacterial strains can seriously endanger human health, thus microbial concentration must be regularly screened to meet national and international regulations. Bacterial concentration is measured by Standard Plate Count technique, a reliable and accurate method that is however characterized by long time response (24–72 hours) and the need to be performed in a laboratory environment by skilled personnel. Our research group has recently developed an embedded portable biosensor system that is competitive with the standard technique in terms of response time and can be easily used for in-situ measurements by users with no microbiology knowledge. In this paper we discuss an algorithm for the transformation of the biosensor measured data that proves to be accurate and easy to be implemented. The algorithm is based on the calculation of the first and second time derivatives of the measured electrical parameters and the results show good correlation (R2 = 0.829) between the bacterial concentration estimated with the biosensor and that measured by the standard technique.

Keywords:

Track Your Manuscript

Share This Page