Literature DB >> 29869678

Implementing Electric Potential Difference as a New Practical Parameter for Rapid and Specific Measurement of Minimum Inhibitory Concentration of Antibiotics.

Nasrin Mobasheri1,2, Mehrdad Karimi3, Javad Hamedi4,5.   

Abstract

New methods to determine antimicrobial susceptibility of bacterial pathogens especially the minimum inhibitory concentration (MIC) of antibiotics have great importance in pharmaceutical industry and treatment procedures. In the present study, the MIC of several antibiotics was determined against some pathogenic bacteria using macrodilution test. In order to accelerate and increase the efficiency of culture-based method to determine antimicrobial susceptibility, the possible relationship between the changes in some physico-chemical parameters including conductivity, electrical potential difference (EPD), pH and total number of test strains was investigated during the logarithmic phase of bacterial growth in presence of antibiotics. The correlation between changes in these physico-chemical parameters and growth of bacteria was statistically evaluated using linear and non-linear regression models. Finally, the calculated MIC values in new proposed method were compared with the MIC derived from macrodilution test. The results represent significant association between the changes in EPD and pH values and growth of the tested bacteria during the exponential phase of bacterial growth. It has been assumed that the proliferation of bacteria can cause the significant changes in EPD values. The MIC values in both conventional and new method were consistent to each other. In conclusion, cost and time effective antimicrobial susceptibility test can be developed based on monitoring the changes in EPD values. The new proposed strategy also can be used in high throughput screening of biocompounds for their antimicrobial activity in a relatively shorter time (6-8 h) in comparison with the conventional methods.

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Year:  2018        PMID: 29869678     DOI: 10.1007/s00284-018-1523-z

Source DB:  PubMed          Journal:  Curr Microbiol        ISSN: 0343-8651            Impact factor:   2.188


  19 in total

Review 1.  Hypothetical model for monitoring microbial growth by using capacitance measurements--a minireview.

Authors:  P A Noble
Journal:  J Microbiol Methods       Date:  1999-07       Impact factor: 2.363

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3.  Comparative evaluation of a new Vitek 2 system for identification and antimicrobial susceptibility testing of Streptococcus pneumoniae.

Authors:  M Abele-Horn; K Stoy; M Frosch; R R Reinert
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2006-01       Impact factor: 3.267

Review 4.  Electrical/electrochemical impedance for rapid detection of foodborne pathogenic bacteria.

Authors:  Liju Yang; Rashid Bashir
Journal:  Biotechnol Adv       Date:  2007-11-12       Impact factor: 14.227

5.  Evaluation of commercial methods for determining antimicrobial susceptibility of Streptococcus pneumoniae.

Authors:  F C Tenover; C N Baker; J M Swenson
Journal:  J Clin Microbiol       Date:  1996-01       Impact factor: 5.948

6.  The antibiotic resistance crisis: part 1: causes and threats.

Authors:  C Lee Ventola
Journal:  P T       Date:  2015-04

7.  Electrochemistry of Escherichia coli JM109: direct electron transfer and antibiotic resistance.

Authors:  Yaroslava Chalenko; Victoria Shumyantseva; Svetlana Ermolaeva; Alexander Archakov
Journal:  Biosens Bioelectron       Date:  2011-12-16       Impact factor: 10.618

8.  Detection of bacterial growth by the Malthus conductance meter.

Authors:  N C Baynes; J Comrie; J H Prain
Journal:  Med Lab Sci       Date:  1983-04

9.  Colorimetric method for determining MICs of antimicrobial agents for Mycobacterium tuberculosis.

Authors:  D M Yajko; J J Madej; M V Lancaster; C A Sanders; V L Cawthon; B Gee; A Babst; W K Hadley
Journal:  J Clin Microbiol       Date:  1995-09       Impact factor: 5.948

10.  Rapid bacterial antibiotic susceptibility test based on simple surface-enhanced Raman spectroscopic biomarkers.

Authors:  Chia-Ying Liu; Yin-Yi Han; Po-Han Shih; Wei-Nan Lian; Huai-Hsien Wang; Chi-Hung Lin; Po-Ren Hsueh; Juen-Kai Wang; Yuh-Lin Wang
Journal:  Sci Rep       Date:  2016-03-21       Impact factor: 4.379

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