Applied Microbiology and Biotechnology

, Volume 104, Issue 3, pp 1283–1290 | Cite as

New approach for determination of antimicrobial susceptibility to antibiotics by an acoustic sensor

  • O. I. GuliyEmail author
  • B. D. Zaitsev
  • I. A. Borodina
Methods and protocols


For the first time, a rapid method was proposed to determine the susceptibility of Escherichia coli cells to antibiotics by the example of ampicillin by using a biological sensor based on a slot mode in an acoustic delay line. It has been established that an indicator of the antibiotic activity to microbial cells is the difference between the recorded sensor’s signal before and after exposure cells with antibiotic. The depth and frequency of the peaks of resonant absorption in the frequency dependence of the insertion loss of sensor varied after adding an antibiotic with different concentrations to the microbial cells. By using the acoustic sensor based on slot-mode a criterion of E. coli sensitivity to ampicillin was established. The advantages of this method are the ability to carry out the analysis directly in the liquid, the short analysis time (within 10–15 min), and the possibility to reusable sensor.


Escherichia coli Ampicillin Sensor based on a slot mode in acoustic delay line Express analysis of antibiotic susceptibility 


Funding information

This work was supported in part by the Russian Foundation for Basic Research (grant nos. 19-07-00300 and 19-07-00304).

Compliance with ethical standards

Ethical statement

All applicable international, national, and/or institutional guidelines for the care and use of animals were followed.

Conflict of interest

The author declares that they have no conflict of interest.


  1. Alekshun M, Levy S (2007) Molecular mechanisms of antibactial multidrug resistance. Cell 128:1037–1050. CrossRefPubMedGoogle Scholar
  2. Antibiotic Resistance Protocols: Second Edition (2010) Gillespie SH, McHugh TD (eds.) Methods in molecular biology, vol. 642, Springer Science+Business Media, LLCGoogle Scholar
  3. Biswas S, Raoult D, Rolain J-M (2008) A bioinformatic aррroach to understanding antibiotic resistance in intracellular bacteria through whole genome analysis, Int. J Antimicrob Agents 32:207–220. CrossRefGoogle Scholar
  4. Borodina IA, Joshi SG, Zaitsev BD, Kuznetsova IE (2000) Acoustic waves in thin plates of lithium niobate. Acoust Phys 46(1):33–37. CrossRefGoogle Scholar
  5. Borodina IA, Zaitsev BD, Kuznetsova IE, Teplykh AA (2013) Acoustic waves in a structure containing two piezoelectric plates separated by an air (vacuum) gap. IEEE Trans Ultrason Ferroelectr Freq Control 60(12):2677–2281. CrossRefPubMedGoogle Scholar
  6. Borodina IA, Zaitsev BD, Teplykh AA (2018a) The influence of viscous and conducting liquid on characteristics of slot acoustic wave. Ultrasonics 82:39–43. CrossRefPubMedGoogle Scholar
  7. Borodina IA, Zaitsev BD, Burygin GL, Guliy OI (2018b) Sensor based on the slot acoustic wave for the non-contact analysis of the bacterial cells – antibody binding in the conducting suspensions, Sensors Actuators B 268:217–222. (b)CrossRefGoogle Scholar
  8. Courvalin Р (2006) Vancomycin resistance in gram-рositive cocci. Clin Infect Dis 42(Suррl 1):25–34. CrossRefGoogle Scholar
  9. European Medicines Agency, European Surveillance of Veterinary Antimicrobial Consumption (2017) ‘Sales of veterinary antimicrobial agents in 30 European countries in 2015’. (EMA/184855/2017)Google Scholar
  10. Felden B, Cattoir V (2018) Bacterial adaptation to antibiotics through regulatory RNAs. Antimicrob Agents Chemother 62:e02503–e02517. CrossRefPubMedPubMedCentralGoogle Scholar
  11. Guliy OI, Ignatov OV, Markina LN, Bunin VD, Ignatov VV (2005) Action of ampicillin and kanamicin on the electrophysical characteristics of Escherichia coli cells. Intern J Environ Anal Chem 85(12–13):981–992. CrossRefGoogle Scholar
  12. Guliy OI, Zaitsev BD, Shikhabudinov AM, Borodina IA, Larionova OS, Zhnichkova YG (2017) Determination of microbial sensitivity to polymyxin by the method of electroacoustic analysis, antibiotics and chemotherapy. 62(3–4):3–9.
  13. Guliy OI, Zaitsev BD, Semyonov AS, Larionova OS, Karavaeva OA, Borodina IA (2018) An electroacoustic analysis for determining the effect of amoxicillin on microbial cells. Biophysics. 63(3):375–380. CrossRefGoogle Scholar
  14. Hendolin PH, Markkanen A, Ylikoski J, Wahlfors JJ (1997) Use of multiplex PCR for simultaneous detection of four bacterial species in middle ear effusions. J Clin Microbiol 35(11):2854–2858CrossRefGoogle Scholar
  15. Jin Y, Joshi SG (1996) Propagation of quasi-shear-horizontal acoustic wave in Z-X Lithium niobate plates. IEEE trans. On ultras., Ferroel., and Freq. Control 43:491–494. CrossRefGoogle Scholar
  16. Johnson WL, France DC, Rentz NS, Cordell WT, Walls FL (2017) Sensing bacterial vibrations and early response to antibiotics with phase noise of a resonant crystal. Sci Rep 7:12138. CrossRefPubMedPubMedCentralGoogle Scholar
  17. Kim YW, Meyer MT, Berkovich A, Subramanian S, Iliadis AA, Bentley WE, Ghodssi R (2016) Sensors and actuators a: physical. 238:140–149. CrossRefGoogle Scholar
  18. Mitosch K, Bollenbach T (2014) Bacterial responses to antibiotics and their combinations. Environ Microbiol Rep 6(6):545–557. CrossRefPubMedGoogle Scholar
  19. Narang R, Mohammadi S, Mohammadi Ashani M, Sadabadi H, Hejazi H, HosseinZarif M & Sanati-Nezhad A (2018) Sensitive, real-time and non-intrusive detection of concentration and growth of pathogenic bacteria using microfuidic-microwave ring resonator biosensor, scientific reports| 8:15807.
  20. Nikaido H (2009) Multidrug resistance in bacteria. Annu Rev Biochem 78:119–146. CrossRefPubMedPubMedCentralGoogle Scholar
  21. Puttaswamy S, Gupta SK, Regunath H, Smith LP, Sengupta S (2018) A comprehensive review of the present and future (AST) systems. Arch Clin Microbiol 9(3):83. CrossRefGoogle Scholar
  22. Riediker S, Diserens JM, Stadler RH (2001) Analysis of β-lactam antibiotics in incurred raw milk by rapid test methods and liquid chromatography coupled with electrospray ionization tandem mass spectrometry. J Agric Food Chem 49(9):4171–4176. CrossRefPubMedGoogle Scholar
  23. Singh M, Dominy B (2012) The evolution of cefotaximase activity in the TEM β-lactamase. J Mol Biol 415:205–220. CrossRefPubMedGoogle Scholar
  24. Syal K, Mo M, Yu H, Iriya R, Jing W, Guodong S, Wang S, Grys TE, Haydel SE, Tao N (2017) Current and emerging techniques for antibiotic susceptibility tests. Theranostics 7(7):1795–1805. CrossRefPubMedPubMedCentralGoogle Scholar
  25. The European Committee on Antimicrobial Susceptibility Testing (2013) Breakpoint tables for interpretation of MICs and zone diameters. Version 3.1.
  26. Yao Z, Kahne D, Kishoy R (2012) Distinct single-cell morphological dynamics under beta-lactam antibiotics. Mol Cell 48:705–712. CrossRefPubMedPubMedCentralGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Institute of Biochemistry and Physiology of Plants and MicroorganismsRussian Academy of SciencesSaratovRussia
  2. 2.Kotelnikov Institute of Radio Engineering and ElectronicsRussian Academy of SciencesSaratovRussia

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