Advertisement

Study Toward the Integration of a System for Bacterial Growth Monitoring in an Automated Specimen Processing Platform

  • Paolo Bellitti
  • Michele BonaEmail author
  • Stefania Fontana
  • Emilio Sardini
  • Mauro Serpelloni
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 539)

Abstract

As bacterial infection diseases represent a relevant threat for human health worldwide, many efforts are spent in accelerating the diagnostic process of biological specimens. The WASPLab automated platform, by COPAN Italia S.p.A., detects bacterial growth by processing the images of the Petri dishes containing a sample to analyze. This work presents a study performed on a developed system that exploits impedance measurement to monitor bacterial growth in Petri dishes in real time. It is part of an activity aiming at system integration in the WASPLab, to enhance its monitoring capabilities and flexibility. Through repeated 24-h tests executed with the system, we successfully detected S. aureus growth in Petri dishes that were inside one of the WASPLab incubators, starting from impedance measurements performed at 50–150 Hz. In particular, depending on the parameter being observed, detection time was between four and six hours, for an initial bacterial concentration in the order of 4.5 · 107 CFU/ml. These preliminary results represent the first step for evaluating system integration in the WASPLab.

Keywords

Bacterial growth detection Impedance measurement WASPLab platform 

Notes

Acknowledgements

The authors thank Giorgio Triva and Roberto Paroni, from COPAN Italia S.p.A., for their appreciated support in the realization of the presented study.

The research activity is part of the Adaptive Manufacturing project (CTN01_00163_216730), which is financed by the Italian Ministry for the Instruction, University, and Research, through the Italian “Cluster Tecnologico Nazionale Fabbrica Intelligente”.

References

  1. 1.
    Fleischmann, C., Scherag, A., Adhikari, N.K.J., Hartog, C.S., Tsaganos, T., Schlattmann, P., Angus, D.C., Reinhart, K.: Assessment of global incidence and mortality of hospital-treated sepsis current estimates and limitations. Am. J. Respir. Crit. Care Med. 193(3), 259–272 (2016).  https://doi.org/10.1164/rccm.201504-0781OCCrossRefGoogle Scholar
  2. 2.
    Global Antimicrobial Resistance Surveillance System (GLASS) report: early implementation 2016–2017. WHO Library Cataloguing-in-Publication Data. ISBN 978-92-4-151344-9 (2018)Google Scholar
  3. 3.
    Yang, L., Bashir, R.: Electrical/electrochemical impedance for rapid detection of foodborne pathogenic bacteria. Biotechnol. Adv. 26(2), 135–150 (2008).  https://doi.org/10.1016/j.biotechadv.2007.10.003CrossRefGoogle Scholar
  4. 4.
    Ivnitski, D., Abdel-Hamid, I., Atanasov, P., Wilkins, E.: Biosensors for detection of pathogenic bacteria. Biosens. Bioelectron. 14(7), 599–624 (1999).  https://doi.org/10.1016/s0956-5663(99)00039-1CrossRefGoogle Scholar
  5. 5.
    Totty, H., Ullery, M., Spontak, J., Viray, J., Adamik, M., Katzin, B., Dunne, W.M., Deol, P.: A controlled comparison of the BacT/ALERT® 3D and VIRTUOTM microbial detection systems. Eur. J. Clin. Microbiol. Infect. Dis. 36(10), 1795–1800 (2017).  https://doi.org/10.1007/s10096-017-2994-8CrossRefGoogle Scholar
  6. 6.
    Jacobs, M.R., Mazzulli, T., Hazen, K.C., Good, C.E., Abdelhamed, A.M., Lo, P., Shum, B., Roman, K.P., Robinson, D.C.: Multicenter clinical evaluation of BacT/Alert Virtuo blood culture system. J. Clin. Microbiol. 55(8), 2413–2421 (2017).  https://doi.org/10.1128/JCM.00307-17CrossRefGoogle Scholar
  7. 7.
    Chang, J., Park, J.S., Park, S., Choi, B., Yoon, N.S., Sung, H., Kim, M.N.: Impact of monitoring blood volume in the BD BACTECTM FX blood culture system: virtual volume versus actual volume. Diagn. Microbiol. Infect. Dis. 81(2), 89–93 (2015).  https://doi.org/10.1016/j.diagmicrobio.2014.11.001CrossRefGoogle Scholar
  8. 8.
    Fernández, P., Gabaldón, J.A., Periago, M.J.: Detection and quantification of Alicyclobacillus acidoterrestris by electrical impedance in apple juice. Food Microbiol. 68, 34–40 (2017).  https://doi.org/10.1016/j.fm.2017.06.016CrossRefGoogle Scholar
  9. 9.
    Zsivanovits, G., Szigeti, F., Mohacsi-Farkas, C.: Investigation of antimicrobial inhibition effect of quince fruit extract by rapid impedance method. In: Proceedings of the International Scientific-Practical Conference “Food, Technologies and Health”, pp. 264–270. Plovdiv, Bulgaria (2013)Google Scholar
  10. 10.
    Fratamico, P.M., Strobaugh, T.P., Medina, M.B., Gehring, A.G.: Detection of Escherichia coli O157:H7 using a surface plasmon resonance biosensor. Biotechnol. Tech. 12(7), 571–576 (1998).  https://doi.org/10.1023/A:1008872002336CrossRefGoogle Scholar
  11. 11.
    Braissant, O., Wirz, D., Göpfert, B., Daniels, A.U.: Use of isothermal microcalorimetry to monitor microbial activities. FEMS Microbiol. Lett. 303, 1–8 (2010).  https://doi.org/10.1111/j.1574-6968.2009.01819.xCrossRefGoogle Scholar
  12. 12.
  13. 13.
    Bellitti, P., Bona, M., Borghetti, M., Sardini, E., Serpelloni, M.: Flexible monitoring system for automated detection of bacterial growth in a commercial specimen processing platform. In: Proceedings of the IEEE RTSI 2017—IEEE 3rd International Forum on Research and Technologies for Society and Industry, pp. 207–212. IEEE, Modena, Italy.  https://doi.org/10.1109/rtsi.2017.8065950

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Information EngineeringUniversity of BresciaBresciaItaly
  2. 2.Copan Italia S.p.ABresciaItaly

Personalised recommendations