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

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Abstract

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.

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References

  1. Alekshun M, Levy S (2007) Molecular mechanisms of antibactial multidrug resistance. Cell 128:1037–1050. https://doi.org/10.1016/j.cell.2007.03.004

  2. Antibiotic Resistance Protocols: Second Edition (2010) Gillespie SH, McHugh TD (eds.) Methods in molecular biology, vol. 642, Springer Science+Business Media, LLC

  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. https://doi.org/10.1016/j.ijantimicag.2008.03.017

  4. Borodina IA, Joshi SG, Zaitsev BD, Kuznetsova IE (2000) Acoustic waves in thin plates of lithium niobate. Acoust Phys 46(1):33–37. https://doi.org/10.1134/1.29843

  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. https://doi.org/10.1109/TUFFC.2013.2867

  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. https://doi.org/10.1016/j.ultras.2017.07.011(a)

  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. https://doi.org/10.1016/j.snb.2018.04.063 (b)

  8. Courvalin Р (2006) Vancomycin resistance in gram-рositive cocci. Clin Infect Dis 42(Suррl 1):25–34. https://doi.org/10.1086/491711

  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)

  10. Felden B, Cattoir V (2018) Bacterial adaptation to antibiotics through regulatory RNAs. Antimicrob Agents Chemother 62:e02503–e02517. https://doi.org/10.1128/AAC.02503-17

  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. https://doi.org/10.1080/03067310500151169

  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. https://doi.org/10.24411/0235-2990-2017-00031

  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. https://doi.org/10.1134/S0006350918030089

  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):2854–2858

  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. https://doi.org/10.1109/58.489409

  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. https://doi.org/10.1038/s41598-017-12063-6

  17. Kim YW, Meyer MT, Berkovich A, Subramanian S, Iliadis AA, Bentley WE, Ghodssi R (2016) Sensors and actuators a: physical. 238:140–149. https://doi.org/10.1016/j.sna.2015.12.001

  18. Mitosch K, Bollenbach T (2014) Bacterial responses to antibiotics and their combinations. Environ Microbiol Rep 6(6):545–557. https://doi.org/10.1111/1758-2229.12190

  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. https://doi.org/10.1038/s41598-018-34001-w

  20. Nikaido H (2009) Multidrug resistance in bacteria. Annu Rev Biochem 78:119–146. https://doi.org/10.1146/annurev.biochem.78.082907.145923

  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. https://doi.org/10.4172/1989-8436.100083

  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. https://doi.org/10.1021/jf010057k

  23. Singh M, Dominy B (2012) The evolution of cefotaximase activity in the TEM β-lactamase. J Mol Biol 415:205–220. https://doi.org/10.1016/j.jmb.2011.10.041

  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. https://doi.org/10.7150/thno.19217

  25. The European Committee on Antimicrobial Susceptibility Testing (2013) Breakpoint tables for interpretation of MICs and zone diameters. Version 3.1. http://www.eucast.org

  26. Yao Z, Kahne D, Kishoy R (2012) Distinct single-cell morphological dynamics under beta-lactam antibiotics. Mol Cell 48:705–712. https://doi.org/10.1016/j.molcel.2012.09.016

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Correspondence to O. I. Guliy.

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Guliy, O.I., Zaitsev, B.D. & Borodina, I.A. New approach for determination of antimicrobial susceptibility to antibiotics by an acoustic sensor. Appl Microbiol Biotechnol 104, 1283–1290 (2020) doi:10.1007/s00253-019-10295-2

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Keywords

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