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Article

The Influence of Liquid Medium Choice in Determination of Minimum Inhibitory Concentration of Essential Oils against Pathogenic Bacteria

Department of Animal Origin Food and Gastronomic Sciences, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, 61242 Brno, Czech Republic
Antibiotics 2022, 11(2), 150; https://doi.org/10.3390/antibiotics11020150
Submission received: 3 January 2022 / Revised: 21 January 2022 / Accepted: 22 January 2022 / Published: 25 January 2022
(This article belongs to the Special Issue Antimicrobial Activity of Essential Oils)

Abstract

:
So far there is no internationally accepted, standardized method for MIC determination of natural substances such as essential oils (EOs). The aim of this study was to elucidate how much the MIC values obtained from various studies using different culture media are comparable. The median MICs for cinnamon essential oil (EO) obtained by broth dilution were 517, 465 and 517 µg/mL for Mueller–Hinton Broth (MHB), Tryptone Soya Broth (TSB) and Brain Heart Infusion (BHI), respectively. The MIC values for oregano EO were significantly (p < 0.001) lower in MHB than in highly nutritious media; the median MICs were 616 µg/mL for MHB and 474 µg/mL for TSB and BHI. This statistically significant difference was noted for all the pathogens studied (Salmonella Enteritidis, Escherichia coli O157, Listeria monocytogenes, Staphylococcus aureus). In the presence of oregano EO lag phase was also much less prolonged in MHB (by 6–17%) than in the other media (by 92–189%). Some components of EOs may bind to starch in MHB; since the phenomenon seems to be selective and EO dependent, the use of MHB for comparison of antimicrobial properties of various EOs thus cannot be recommended.

1. Introduction

The antimicrobial effect of essential oils (EOs) in vitro has been thoroughly studied in the past decades. The most common methods used for research of antimicrobial activity of EOs include diffusion methods (agar disk-diffusion method, antimicrobial gradient method (Etest), agar well diffusion method) and dilution techniques (agar dilution and broth macro and microdilution method). Whereas the diffusion methods are mostly based on measurement of an inhibition zone on agar plate, dilution methods are based on determination of MIC via growth/no growth end-point [1]. Agar and broth dilution are the most commonly used methods for determination of MIC of antimicrobial agents. Broth dilution uses liquid culture medium containing increasing concentrations (typically a twofold dilution series) of the antimicrobial substance and inoculation with a defined number of bacterial cells. The method is termed macrodilution when using a total volume in milliliters, or microdilution, if performed in microtiter plates using ≤500 µL per well. The presence of turbidity or a sediment after incubation indicates growth of the microorganism. In both the agar and the broth dilution techniques, the MIC is defined as the lowest concentration of the antimicrobial substance that prevents visible growth of a microorganism under defined conditions [2].
The methods used for research of EOs are derived from the methods used for testing of antimicrobial susceptibility of microorganisms against antibiotics. These procedures have been honed for many years and standardized to allow for reproducibility. The Clinical and Laboratory Standards Institute’s (CLSI’s) protocols are accepted world-wide for testing of antibiotics. Both CLSI and EUCAST performance standards include cation-adjusted Mueller–Hinton broth and Mueller–Hinton agar as the appropriate growth medium for broth and agar dilution technique, respectively [3,4]. Although many studies on EOs uses these media, other broths and agars are commonly employed. Indeed, it is often very difficult to compare the results of antimicrobial effect in published articles due to the use of different non-standardized procedures [1]. Van de Vel et al. [5] created a review on methods for in vitro evaluating antimicrobial activity, based on analysis of data published between 1995–2016. The authors clearly identified the most important factors causing the variance in minimum inhibitory concentration (MIC) between studies, which included incubation conditions, culture media and the use of emulsifiers or solvents. Balouiri et al. [1] mention also other factors, e.g., inoculum size and end-points determination.
There have been numerous calls for an international standard method for evaluation of the antimicrobial activity of EOs and its compounds in order to achieve better comparability between studies [1,5]. One of the main parameters to establish would be the growth medium. Although Mueller–Hinton broth seems to be the logical choice for broth dilution, no evaluation was performed so far regarding the possible interactions between EOs components and the components in the culture medium, similar to interactions with food components (proteins, fat, starch) which have been previously reported [6].
The aim of this study was not a development of a new culture medium suitable for EOs evaluation, but a comparison of the most commonly used, clearly defined laboratory growth media including Mueller–Hinton broth in order to elucidate how much the MIC values obtained in different culture media are comparable.

2. Results and Discussion

This study focused on comparison of MHB, BHI and TSB as the most common media used for determination of MIC of EOs by broth dilution method. Generally, TSB showed significantly lower MIC values than MHB (p < 0.001) and BHI (p = 0.006). However, further analysis revealed that EO also played a role. The most notable are the increased MIC values for oregano EO in MHB (median 616 µg/mL) in comparison to other media with median 474 µg/mL (Table 1).
The composition of BHI and TSB is similar, with BHI containing slightly more proteinous components (28 g/L) than TSB with 20 g/L (Table 2). MHB is on the other hand a far less complex medium containing a high amount of proteinous components (317.5 g/L) and starch (1.5 g/L). Proteins are known to interfere with the antimicrobial activity of EOs [6,7,8,9,10]. Increased MIC values of thymol and carvacrol in nutrient agar and TSB, respectively, were reported after addition of bovine serum albumin [7,8]. Oregano and thyme EOs were also less inhibitory against L. monocytogenes in TSB after addition of starch (1%, 5% and 10%), whereas the same oils did not bind to simple sugars represented mainly by glucose and fructose [6,9]. On the other hand, the increased MIC was not observed for cinnamon EO, suggesting that the compounds of this oil do not bind to starch or proteins in the same manner as the oregano EO. Carvacrol, the main component of oregano EO, is a phenolic monoterpenoid, whereas cinnamaldehyde, the main component of cinnamon EO, has an aldehyde group [5]. Furthermore, as there are differences between simple and complex saccharides, it should be further elucidated how the degree of hydrolyzation influences the binding of EO components to proteinous substances, as not only amount, but also the form could play a role in the interaction. While bovine serum albumin interfered negatively with EO compounds [7,8], addition of meat extract to TSB increased the efficacy of EOs [6] and of aqueous extract from rose fruits [10], although in the latter case the effect was clearly pronounced only for high concentration of the extract used. Although no deliberate comparison of the media in regard to EOs have been made so far, Serio et al. [11] reported growth of L. monocytogenes in both BHI and TSB after exposure to oregano EO. Lag phases in TSB were longer than in BHI, which corresponds with the results of our study (Table 3). The authors mention that BHI may favor the growth of cells stressed by EO due to the presence of osmoprotective carnitine, which can improve the cell resistance.
In a study by Granata et al. [12], encapsulated oregano (thymol chemotype) and thyme (carvacrol chemotype) EOs were tested on various pathogens. The MIC of L. monocytogenes determined in BHI was significantly lower (0.03 mg/mL) than the MICs of S. aureus and E. coli grown in MHB (0.06 and 0.12 mg/mL, respectively). On the other hand, in a study of Simionato et al. [13], encapsulated cinnamon EO exhibited the same MIC for L. monocytogenes in BHI as for E. coli O157 and Y. enterocolitica in MHB. Although the encapsulation, strain specificity and other factors could play a role in the differences (or the lack of them), these data could also corroborate the specific binding of EO compounds to MHB compounds. Our results from the MIC assay were supported by the values of growth kinetic parameters. While the lag phase duration doubled in BHI and almost tripled in TSB in the presence of oregano EO in comparison to control (Table 3), it was prolonged only by 6–17% in MHB. The maximum growth rate also decreased the less in MHB in the presence of oregano EO in comparison to control.
The differences between the reference strain and the mixture of food isolates (Figure 1) were statistically significant for all the species except Salmonella Enteritidis. The most pronounced difference was found for S. aureus (p < 0.001) with median 414 µg/mL for reference strain and 569 µg/mL for mixture of food isolates. These differences were not affected by the type of growth medium or essential oil. The use of mixture of contemporary food isolates represents a worst-case-scenario, where the most resistant strain will prevail. Since testing of numerous isolates individually is laborious, this approach may bring more precise results than the use of a single reference strain, although well defined.
During evaluation of the interaction of medium type with other factors, statistically significant interaction was found between species and EO (Table 4), but not between species, EO and medium (Figure 2), meaning that the differences between species were approx. the same in all the media. It should be mentioned that L. monocytogenes is usually cultivated in TSB with yeast extract; however, the growth in TSB in our study was luxuriant enough to enable the species comparison using the same medium. On the other hand, no strains were able to grow in MHB without lysed blood supplementation. Although the supplementation is in CLSI standards for antimicrobial susceptibility testing [14], many studies testing EOs against L. monocytogenes in MHB do not mention this M45 standard or any supplementation [15,16,17,18,19,20] and in another study only MHB for Streptococcus spp. was supplemented, although L. monocytogenes was included in the study [21]. This ambiguity in medium specification or supplementation decreases between-studies comparability of results obtained in MHB.
Statistically significant interaction was found between species and EO (Table 4); whereas the differences between species were not significant when cinnamon EO was used, for oregano EO the MIC of Salmonella Enteritidis was significantly lower than the MICs of L. monocytogenes and S. aureus (p = 0.009 and 0.015, respectively). For the Gram positive bacteria, the MIC values were higher for oregano EO than for cinnamon EO (p = 0.002 and 0.003 for L. monocytogenes and S. aureus, respectively). On the other hand, the Gram negative bacteria showed opposite results (although the difference was not statistically significant). This is in accordance with the reported correlation of EOs’ composition with their antimicrobial properties published by Bagheri et al. [22], where phenols were the most inhibitory against Salmonella enterica and E. coli, whereas aldehydes were the most inhibitory against S. aureus.

3. Materials and Methods

3.1. Bacterial Strains

Reference strains of four major food pathogens were used for the media testing: Escherichia coli O157 (ATCC 700728), Salmonella Enteritidis (ATCC 13076), Listeria monocytogenes (ATCC 13932) and Staphylococcus aureus (ATCC 25923). Simultaneously, for each species a mixture of five wild strains isolated from meat and meat products and preparations was used in order to count for strain variability. Specification of the bacterial isolates is available in Appendix A, Table A1. The bacterial cultures were kept frozen at −70 °C.

3.2. Essential Oils

Commercial essential oils (EOs) from oregano (Origanum vulgare, Spain) and cinnamon (Cinnamomum zeylanicum, Sri Lanka) obtained by steam distillation were purchased from Nobilis Tilia, Krásná Lípa, Czech Republic. Complete chemical composition of each oil (determined by GC-MS in an accredited laboratory in Germany, where the oils were manufactured by Joh. Vögele KG) is available in Appendix A, Figure A1. In short, the main components of oregano EO (density 0.948 g/mL) were carvacrol (73.6%), p-cymene (7.0%) and γ-terpinene (6.0%). The main components of cinnamon EO (density 1.034 g/mL) were trans-cinnamaldehyde (65%), eugenol (18.0%) and β-caryophyllene (4.9%).

3.3. Determination of Minimum Inhibitory Concentration

Minimum inhibitory concentration (MIC) was determined by broth microdilution method. All the culture media used in this study were purchased from Oxoid, UK. The strains were plated on Tryptone Soya Agar (TSA, CM0131), Mueller–Hinton Agar (MHA, CM0337) and Brain Heart Infusion Agar (BHIA, CM1136) and once more subcultivated at 37 °C/24 h. Bacterial suspension was prepared in saline using the McFarland turbidity scale and further diluted to approximately 1 × 106 cells/mL. According to the agar used for subcultivation, Tryptone Soya Broth (TSB, CM0129), Mueller–Hinton Broth (MHB, CM0405) or Brain Heart Infusion broth (BHI, CM1135) were used as the diluent. Since L. monocytogenes didn’t grow in pure MHB, Laked Horse Blood (SR0048) was added into MHB to make for final concentration 5% according to the international standards [4,14].
Essential oils were individually diluted in TSB, MHB and BHI (1:1) and vortexed vigorously. The emulsions were further diluted to a working concentration of 1%, from which a concentration row from 0.02–0.2% (v/v) was prepared. The dilutions of EOs were mixed 1:1 with the inoculum in a 96-well microplate. Both positive (0% EO) and negative (uninoculated solutions of EO) controls were included. The plates were incubated at 37 °C for 24 h. MIC was determined as the lowest concentration required to prevent visible growth. The whole experiment was twice replicated (n = 3). The media composition is showed in Table 2.

3.4. Growth Kinetics Measurements

The growth curves were constructed based on optical density (OD) measurement at 850 nm in Personal Bioreactor RTS-1 (Biosan, Riga, Latvia). Both control measures and measures in media with 0.03% (284 µg/mL) of oregano essential oil (approx. 50% of MIC) were performed. Since EOs are highly volatile substances, maximum volume (30 mL), sealed tubes and no tube rotation were used in order to prevent increased evaporation. The media were spiked with inoculum prepared as described above (with the same final concentration of approximately 5 × 105 cells/mL) and incubated at 37 °C in the machine until the stationary phase was achieved. The OD was measured at 10 min intervals. For growth kinetics only reference strains of E. coli O157 and L. monocytogenes were used, since the factory calibration of the instrument is designed for specific microorganism size of 0.4–0.8 × 1–3 μm. Each measurement was performed three times.

3.5. Statistical Analysis

Since the dependent variable (MIC) was represented by interval, censored and non-normally distributed data, non-parametric statistical methods were used. Multiple comparisons were done by Wilcoxon (paired) test and the p-values were adjusted using Holm correction [23] with the p level of 0.05 set as statistically significant. Since there are no well-recognized non-parametric tests for multiple factors/mixed design, the interaction of media type with other factors (EO, Species, Origin) was assessed from the pairwise plots and verified by multiple comparisons. The species were compared using Kruskal–Wallis ANOVA and multiple comparisons of mean ranks. The computations were done in Statistica, v. 7.1 (StatSoft, Tulsa, OK, USA) and in Microsoft Excel 2016 (Microsoft, Redmond, WA, USA).
Growth curves (OD values) were fitted in Microrisk Lab online predictor v1.2 [24] using primary growth model of Baranyi as the best fit [25] in order to compute maximum specific growth rate (μmax) and lag phase duration (λ).

4. Conclusions

The results show that the MIC values obtained by broth dilution using highly nutritious media such as TSB and BHI are fully comparable. On the other hand, the MIC values for oregano EO were significantly lower in MHB for all the pathogens, probably due to an interaction of its components with starch and reduced ability of the bacteria to repair the cell damage in a nutrient-deficient medium. Although there is still no internationally accepted, standardized method for MIC determination of natural substances such as EOs, MHB and MHA are the most commonly used media for broth and agar dilution, respectively. Admittedly, the MIC values for oregano EO in MHB were lower by 122–138 µg/mL than in TSB and BHI, which is not an enormous difference. However, the difference may not only hamper comparison of results from different studies using different media, but also the comparison of EOs conducted within a study, as not all the EOs are affected by starch in the same manner. Thus, the use of MHB for determination of antimicrobial properties of EOs is not ideal. The lowest MIC values were obtained in TSB which seems the most suitable candidate for reference medium in any future standard method for antimicrobial testing of EOs by broth dilution method. The medium in its basic composition better supports the growth of fastidious bacteria such as Listeria monocytogenes, without the need to specify whether cation adjustment/blood supplementation was used or not.

Funding

This research was funded by the Institutional Research Support for University of Veterinary Sciences Brno.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All the data are available from the corresponding author upon reasonable request.

Acknowledgments

The author is grateful to the company Nobilis Tilia for providing chemical composition of the EOs batches including the chromatograms.

Conflicts of Interest

The author declares no conflict of interest.

Appendix A

Table A1. Bacterial isolates used in the study.
Table A1. Bacterial isolates used in the study.
SpeciesSpecificationIsolatedSource
Escherichia coliserotype O1572015pork meat preparation
Escherichia coliserotype O1572017wild boar carcass
Escherichia coliserotype O1572017wild boar carcass
Escherichia coliserotype O1572018sushi
Escherichia coliserotype O1572019duck carcass
Listeria monocytogenesserotype 1/2a2014 chicken carcass
Listeria monocytogenesserotype 1/2a2014 chicken carcass
Listeria monocytogenesserotype 1/2b2018 cooked meat product
Listeria monocytogenesserotype 1/2b2018 cooked meat product
Listeria monocytogenesserotype 1/2c2015 pork meat preparation
Salmonella Enteritidisphage type 1b2015poultry meat preparation
Salmonella Enteritidisphage type 42015poultry meat preparation
Salmonella Enteritidisphage type 4b2016minced turkey meat
Salmonella Enteritidisphage type 82014chicken carcass
Salmonella Enteritidisphage type 132014chicken carcass
Staphylococcus aureus-2015pork meat preparation
Staphylococcus aureus-2015cooked meat product
Staphylococcus aureus-2019duck carcass
Staphylococcus aureus-2019duck carcass
Staphylococcus aureus-2018cooked meat product
Figure A1. Analytical certificates. (a) chemical composition of cinnamon essential oil; (b) chemical composition of oregano essential oil.
Figure A1. Analytical certificates. (a) chemical composition of cinnamon essential oil; (b) chemical composition of oregano essential oil.
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References

  1. Balouiri, M.; Sadiki, M.; Ibnsouda, S.K. Methods for in vitro evaluating antimicrobial activity: A review. J. Pharm. Anal. 2016, 6, 71–79. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Wiegand, I.; Hilpert, K.; Hancock, R.E.W. Agar and broth dilution methods to determine the minimal inhibitory concentration (MIC) of antimicrobial substances. Nat. Protoc. 2008, 3, 163–175. [Google Scholar] [CrossRef] [PubMed]
  3. CLSI. M07: Methods for Dilution Antimicrobial Susceptibility Tests for Bacteria That Grow Aerobically, 11th ed.; CLSI: Wayne, PA, USA, 2018; pp. 1–112. [Google Scholar]
  4. EUCAST. Media Preparation for EUCAST Disk Diffusion Testing and for Determination of MIC Values by the Broth Microdilution Method, Version 6.0; EUCAST: Växjö, Sweden, 2020; pp. 4–5. Available online: https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Disk_test_documents/2020_manuals/Media_preparation_v_6.0_EUCAST_AST.pdf (accessed on 21 October 2021).
  5. Van de Vel, E.; Sampers, I.; Raes, K. A Review on influencing factors on the minimum inhibitory concentration of essential oils. Crit. Rev. Food Sci. Nutr. 2019, 59, 357–378. [Google Scholar] [CrossRef]
  6. Gutierrez, J.; Barry-Ryan, C.; Bourke, P. The antimicrobial efficacy of plant essential oil combinations and interactions with food ingredients. Int. J. Food Microbiol. 2008, 124, 91–97. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Juven, B.J.; Kanner, J.; Schved, F.; Weisslowicz, H. Factors that interact with the antibacterial action of thyme essential oil and its active constituents. J. Appl. Bacteriol. 1994, 76, 626–631. [Google Scholar] [CrossRef]
  8. Veldhuizen, E.J.; Creutzberg, T.O.; Burt, S.A.; Haagsman, H.P. Low temperature and binding to food components inhibit the antibacterial activity of carvacrol against Listeria monocytogenes in steak tartare. J. Food Prot. 2007, 70, 2127–2132. [Google Scholar] [CrossRef]
  9. Gutierrez, J.; Barry-Ryan, C.; Bourke, P. Antimicrobial activity of plant essential oils using food model media: Efficacy, synergistic potential and interactions with food components. Food Microbiol. 2009, 26, 142–150. [Google Scholar] [CrossRef] [PubMed]
  10. Cendrowski, A.; Kraśniewska, K.; Przybył, J.L.; Zielińska, A.; Kalisz, S. Antibacterial and antioxidant activity of extracts from rose fruits (Rosa rugosa). Molecules 2020, 25, 1365. [Google Scholar] [CrossRef] [Green Version]
  11. Serio, A.; Chiarini, M.; Tettamanti, E.; Paparella, A. Electronic paramagnetic resonance investigation of the activity of Origanum vulgare L. essential oil on the Listeria monocytogenes membrane. Lett. Appl. Microbiol. 2010, 51, 149–157. [Google Scholar] [CrossRef]
  12. Granata, G.; Stracquadanio, S.; Leonardi, M.; Napoli, E.; Malandrino, G.; Cafiso, V.; Stefani, S.; Geraci, C. Oregano and thyme essential oils encapsulated in chitosan nanoparticles as effective antimicrobial agents against foodborne pathogens. Molecules 2021, 26, 4055. [Google Scholar] [CrossRef] [PubMed]
  13. Simionato, I.; Domingues, F.C.; Nerín, N.; Silva, F. Encapsulation of cinnamon oil in cyclodextrin nanosponges and their potential use for antimicrobial food packaging. Food Chem. Toxicol. 2019, 132, 110647. [Google Scholar] [CrossRef] [PubMed]
  14. CLSI. M45: Methods for Antimicrobial Dilution and Disk Susceptibility Testing of Infrequently Isolated or Fastidious Bacteria, 3rd ed.; CLSI: Wayne, PA, USA, 2016; p. 44. [Google Scholar]
  15. Bouarab-Chibane, L.; Forquet, V.; Lanteri, P.; Clement, Y.; Leonard-Akkari, L.; Oulahal, N.; Degraeve, P.; Bordes, C. Antibacterial properties of polyphenols: Characterization and QSAR (Quantitative Structure–Activity Relationship) models. Front. Microbiol. 2019, 10, 829. [Google Scholar] [CrossRef] [PubMed]
  16. Chaleshtori, F.D.; Saholi, M.; Chaleshtori, R.S. Chemical composition, antioxidant and antibacterial activity of Bunium persicum, Eucalyptus globulus, and rose water on multidrug-resistant Listeria species. J. Evid.-Based Integr. Med. 2018, 23, 2515690X17751314. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Kang, J.H.; Song, K.B. Combined washing effect of noni extract and oregano essential oil on the decontamination of Listeria monocytogenes on romaine lettuce. Int. J. Food Sci. 2020, 55, 3515–3523. [Google Scholar] [CrossRef]
  18. Puškárová, A.; Bučková, M.; Kraková, L.; Pangallo, D.; Kozics, K. The antibacterial and antifungal activity of six essential oils and their cyto/genotoxicity to human HEL 12469 cells. Sci. Rep. 2017, 7, 8211. [Google Scholar] [CrossRef] [Green Version]
  19. Saraiva, C.; Silva, A.C.; Garcia-Diez, J.; Cenci-Goga, B.; Grispoldi, L.; Silva, A.F.; Almeida, J.M. Antimicrobial activity of Myrtus communis L. and Rosmarinus officinalis L. essential oils against Listeria monocytogenes in cheese. Foods 2021, 10, 1106. [Google Scholar] [CrossRef]
  20. Shahbazi, Y. Chemical composition and in vitro antibacterial activity of Mentha spicata essential oil against common food-borne pathogenic bacteria. J. Pathog. 2015, 916305. [Google Scholar] [CrossRef]
  21. Limsuwan, C.; Subhadhirasakul, S.; Voravuthikunchai, S.P. Medicinal plants with significant activity against important pathogenic bacteria. Pharm. Biol. 2009, 47, 683–689. [Google Scholar] [CrossRef] [Green Version]
  22. Bagheri, L.; Khodaei, N.; Salmeri, S.; Karboune, S.; Lacroix, M. Correlation between chemical composition and antimicrobial properties of essential oils against most common food pathogens and spoilers: In-vitro efficacy and predictive modelling. Microb. Pathog. 2020, 147, e104212. [Google Scholar] [CrossRef]
  23. Holm, S. A simple sequentially rejective multiple test procedure. Scand. J. Stat. 1979, 6, 65–70. [Google Scholar]
  24. Liu, Y.; Wang, X.; Liu, B.; Dong, Q. Microrisk Lab: An online freeware for predictive microbiology. Foodborne Pathog. Dis. 2021, 18, 607–615. [Google Scholar] [CrossRef] [PubMed]
  25. Baranyi, J.; Roberts, T.A. Mathematics of predictive food microbiology. Int. J. Food Microbiol. 1995, 26, 199–218. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Differences in MIC between reference strains and mixtures of food isolates (LM, Listeria monocytogenes; SE, Salmonella Enteritidis; EC, Escherichia coli O157; SA, Staphylococcus aureus).
Figure 1. Differences in MIC between reference strains and mixtures of food isolates (LM, Listeria monocytogenes; SE, Salmonella Enteritidis; EC, Escherichia coli O157; SA, Staphylococcus aureus).
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Figure 2. Differences in MIC between essential oils, growth media and pathogens (LM, Listeria monocytogenes; SE, Salmonella Enteritidis; EC, Escherichia coli O157; SA, Staphylococcus aureus). (a) Oregano essential oil; (b) cinnamon essential oil.
Figure 2. Differences in MIC between essential oils, growth media and pathogens (LM, Listeria monocytogenes; SE, Salmonella Enteritidis; EC, Escherichia coli O157; SA, Staphylococcus aureus). (a) Oregano essential oil; (b) cinnamon essential oil.
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Table 1. Differences in MIC (µg/mL) between various essential oils and growth media (n = 24).
Table 1. Differences in MIC (µg/mL) between various essential oils and growth media (n = 24).
MediumOregano Essential OilCinnamon Essential Oil
MeanMedianMin–MaxMeanMedianMin–Max
TSB466474 Aa379–569461465 Aa310–620
BHI482474 Aa379–664530517 Ba414–620
MHB604616 Ba474–758470517 Ab310–620
MIC, minimum inhibitory concentration; TSB, tryptone soya broth; BHI, brain heart infusion; MHB, Mueller–Hinton broth; min, minimal value; max, maximal value; a,b mark statistically significant differences within a row; A,B mark statistically significant differences within a column.
Table 2. Comparison of the liquid media composition [g/L].
Table 2. Comparison of the liquid media composition [g/L].
BrothProteinous ComponentsGlucoseStarchPhosphate BufferNaCl
BHI12.5Brain infusion solids2.0-2.55.0
5.0Beef heart infusion solids
10.5Proteose peptone
TSB17.0Pancreatic digest of casein2.5-2.55.0
3.0Enzymatic digest of soya
MHB300.0Beef infusion-1.5--
17.5Casein hydrolysate
Table 3. Comparison of growth model parameters for various media (mean ± SEM of three measurements).
Table 3. Comparison of growth model parameters for various media (mean ± SEM of three measurements).
StrainMediumOEO
[µg/mL]
λ
[h]
μmax
[OD units/h]
RMSEΔ λ
[%]
Δ μmax
[%]
L. monocytogenes
ATCC 13932
TSB03.47 ± 0.340.37 ± 0.030.04 ± 0.00+189%−70%
28410.04 ± 0.560.11 ± 0.020.04 ± 0.01
BHI04.59 ± 0.310.30 ± 0.010.03 ± 0.00+92%−60%
2848.81 ± 0.500.12 ± 0.010.05 ± 0.01
MHB05.15 ± 0.370.10 ± 0.010.02 ± 0.00+17%−30%
2846.01 ± 0.410.07 ± 0.010.03 ± 0.00
E. coli O157
ATCC 700728
TSB03.43 ± 0.360.27 ± 0.030.02 ± 0.01+172%−59%
2849.35 ± 0.490.11 ± 0.010.04 ± 0.01
BHI03.88 ± 0.350.27 ± 0.040.02 ± 0.00+113%−41%
2848.72 ± 0.580.16 ± 0.020.05 ± 0.01
MHB04.29 ± 0.410.19 ± 0.020.03 ± 0.01+6%−26%
2844.54 ± 0.530.14 ± 0.040.01 ± 0.01
SEM standard error of the mean; OEO, oregano essential oil; λ, lag phase duration estimation; μmax, maximum specific growth rate estimation; RMSE, root-mean-square error (OD units); Δ increase/decrease of the parameter in OEO in comparison to control.
Table 4. Differences in MIC (µg/mL) between various essential oils and pathogens (n = 18).
Table 4. Differences in MIC (µg/mL) between various essential oils and pathogens (n = 18).
MediumOregano Essential OilCinnamon Essential Oil
MeanMedianMin–MaxMeanMedianMin–Max
Salmonella Enteritidis442474 Aa379–569506517 Aa310–620
Escherichia coli O157500474 ABa379–664494517 Aa310–620
Listeria monocytogenes569569 Ba474–758483517 Ab310–620
Staphylococcus aureus558569 Ba379–664465414 Ab310–620
MIC, minimum inhibitory concentration; min, minimal value; max, maximal value; a,b mark statistically significant differences within a row; A,B mark statistically significant differences within a column.
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Hulankova, R. The Influence of Liquid Medium Choice in Determination of Minimum Inhibitory Concentration of Essential Oils against Pathogenic Bacteria. Antibiotics 2022, 11, 150. https://doi.org/10.3390/antibiotics11020150

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Hulankova R. The Influence of Liquid Medium Choice in Determination of Minimum Inhibitory Concentration of Essential Oils against Pathogenic Bacteria. Antibiotics. 2022; 11(2):150. https://doi.org/10.3390/antibiotics11020150

Chicago/Turabian Style

Hulankova, Radka. 2022. "The Influence of Liquid Medium Choice in Determination of Minimum Inhibitory Concentration of Essential Oils against Pathogenic Bacteria" Antibiotics 11, no. 2: 150. https://doi.org/10.3390/antibiotics11020150

APA Style

Hulankova, R. (2022). The Influence of Liquid Medium Choice in Determination of Minimum Inhibitory Concentration of Essential Oils against Pathogenic Bacteria. Antibiotics, 11(2), 150. https://doi.org/10.3390/antibiotics11020150

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