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REDOX-POTENTIAL MEASUREMENT
AS A RAPID METHOD
FOR MICROBIOLOGICAL TESTING
Problems in microbiological
quality control
Classical methods
Long incubation time (1-4 days)
The applicability, reliability and test price of the
methods are concentration-depending:
High concentration: dilution and colony
counting in the range of
30-300 cfu/ml.
Low concentration: MPN method
Membrane filtering
Redox-potential measurement
Physico-chemical base
Assuming a chemical reaction:
a A + b B c C + d D
[C]c [D]d
Q = ------------
[A]a [B]b
Free energy and electric work
DG = DG° + R T ln Q
DG = - n FDE.
n F DE = - n F DE° + R T ln Q
Electromotive force
R T [C]c [D]d
DE = DE° - ------- ln ---------
n F [A]a [B]b
In biological systems
The energy source of the growth is the biological
oxidation which results in a reduction in the
environment.
This is due to the oxygen depletion and the
production of reducing compounds in the
nutrient medium.
A typical oxidation-reduction reaction in
biological systems:
[Oxidant] + [H+] + n e- [Reductant]
The electric effect of the changing could be expressed
by the Nernst equation:
RT [oxidant] [H+]
Eh = E0 + ------ ln ----------------
nF [reductant]
RT [reductant]
Eh = E0 - ------ ln ----------------
nF [oxidant] [H+]
Where Eh is the redox-potential referring to the normal
hydrogen electrode (V)
E0 is the normal redox-potential of the system (V)
R is the Gas-constant R = 8.314 J/mol K
F is the Faraday constant F = 9.648˙104 C/mol (J/V mol)
n is the number of electrons in the redox system (n=1)
Test cell for redox potential
measurement
Typical redox-curve of the
microbial growth
E. coli 37 °C, TSB
-400
-300
-200
-100
0
100
200
300
400
500
0 1 2 3 4 5 6 7 8 9
t (h)
Eh(mV)
3
4
5
6
7
8
9
lgN
Eh lg N
|dE/dt|>DC
lg Nc
lg N0
TTD
The detection time (TTD) is that moment when
the absolute value of the rate of redox potential
change in the measuring-cell overcomes a value
which is significantly differing from the random
changes (e.g. |dE/dt|  0.5 mV/min).
This value is the detection criterion. As the
critical rate of the redox potential decrease
needs a determined cell count the detection time
depends on the initial microbial count.
Redox-curves of several bacteria
-400
-300
-200
-100
0
100
200
300
400
500
0 5 10 15 20
t (h)
Eh(mV)
Campylobacter B. subtilis L. monocytogenes
Ent. faecalis Ps. aeruginosa E. coli
Effect of the initial Cell-
concentration on the redox-curves
E. coli in TSB
-400
-300
-200
-100
0
100
200
300
400
0 60 120 180 240 300 360 420 480 540 600 660 720 780 840 900 960
t (min)
Eh(mV)
Steril steril lgN=0,09 lgN=2,38
lgN=3,39 lgN=4,25 lgN=4,80
TTD for the redox-potential measurement is: |DE/D t|>1mV/min
Effect of the initial cell
concentration on TTD
E. coli in TSB
0
1
2
3
4
5
6
2 3 4 5 6
lgNo (cfu/inoculum)
TTD(h)
Determination of calibration
curves
1. External calibration curve
Known microflora
The equation of the calibration curve is
calculated by linear regression from the log
N (determined by classical cultivation) and
the TTD (is determined instrumentally)
Determination of calibration
curves
2. Internal calibration curve
Unknown microflora
This method is applied when the composition of the
microflora is not known and previously constructed
calibration curve cannot be taken. In this case, the
redox potential measurement is combined with the
MPN method. Based on the last dilution levels still
showing multiplication, the initial viable count is
calculated using the MPN-table. Based on the
obtained microbe count and TTD values, the internal
calibration curve can be constructed.
Determination of the internal
calibration curve 1.
Determination of the internal
calibration curve 2.
Determination of the internal
calibration curve 3.
Validation of the Redox-potential
measuring method
Test microorganisms and culture
media of the tests 1.
Microorganisms Redox
potential
Plate
counting
Escherichia coli BBL, TSB TSA, Tergitol
Enterobacter
aerogenes
BBL, TSB TSA, Tergitol
Citrobacter freundii BBL, TSB TSA, Tergitol
Klebsiella oxytoca BBL, TSB TSA, Tergitol
Acinetobacter lwoffii BBL, TSB TSA, Tergitol
Pantoea
agglomerans
BBL, TSB TSA, Tergitol
Test microorganisms and culture
media of the tests 2.
Microorganisms Redox
potential
Plate
counting
Pseudomonas
aeruginosa
Cetrimide,
TSB
TSA,
Cetrimide
Pseudomonas
fluorescens
Cetrimide,
TSB
TSA,
Cetrimide
Enterococcus
faecalis
Azide, TSB TSA, Slanetz-
Bartley
Total count TSB TSA
Validation characteristics of the
method 1.
Selectivity
it depended on the media used for
identification.
Linearity
from 1 to 107cfu/test flask.
Validation characteristics of the
method 2.
Sensitivity
Detection limit
1 cell/test flask.
Quantitation limit
The theoretical quantitation limit is 10 cell/inoculum
(1 log unit), which is in agreement with the
obtained calibration curves.
min13060
Nlg
TTD



Validation characteristics of the
method 3.
Range
On the base of the calibration curves the range
lasted from 1 to 7 log unit. Below 10 cells the
Poisson-distribution causes problems, over 107
cells the TTD is too short comparing to the
transient processes (temperature-, redox-
equilibrum, lag-period of the growth).
Repeatability
Calculated from the calibration curves:
SDlgN = 0.092
SDN = 100.092 = 1.24 = 24%
Validation characteristics of the
method 4.
Robustness
The most important parameter is the
temperature, which has a double effect on the
results – the growth rate of the microorganisms
and the measured redox-potential are
temperature depending. Performing the
measurements at the temperature optimum of
microorganisms, the growth rate in a ±0.5 °C
interval does not change. The effect of the
temperature on the measured redox-potential
was determined experimentally. The results
showed that the effect of the temperature
variation is negligible.
Advantages of the redox-
potential measurement 1.
Very simple measurement technique.
It does not require strict temperature control.
Rapid method, especially in the case of high
contamination.
Applicable for every nutrient broth (impedimetric
methods require special substrates with low
conductance).
Especially suitable for the evaluation of the
membrane filter methods.
Advantages of the redox-
potential measurement 2.
Economic, effective and simple method for
heat destruction measurements.
Effective tool for the optimization of the
nutrient media.
The test costs are less than those of the
classical methods, especially in the case
of zero tolerance in quality control
(coliforms, Enterococcus, Pseudomonas,
etc.).
Application of the redox method
1. Quality control
Foods
Water
Surfaces
2. Heat destruction of bacteria
3. Activity of bacteria
4. Media optimization
5. Efficiency of disinfectants
Quality control 1.
Foods
Enterobacter and total count in raw milk
Nyerstej, 1/2 TSB (T=30 °C)
-400
-300
-200
-100
0
100
200
300
400
500
0 5 10 15 20 25
t (h)
Eh(mV)
0. hig. 1. hig. 2. hig. 3. hig. 4. hig
5. hig 6. hig 7. hig.
Quality control 1.
Foods
Enterobacter and total count in raw milk
Nyerstej belső kalibrációs görbe
(1/2 TSB, T=30 °C)
y = 2,6486x + 1,34
R
2
= 0,9895
0
5
10
15
20
0 1 2 3 4 5 6 7
hígítás
TTD(h)
Összcsira Enterobacter
MPNEnterob.=2,3x102
/ml
MPNÖsszcsíra=2,3x106
/ml
Comparison of external and
internal calibration curves
Raw milk
y = -1.5014x + 15.413
R2
= 0.9596
0
2
4
6
8
10
12
14
1 2 3 4 5 6 7 8 9
lgN /ml milk
TTD(h)
Internal External
Method time comparison
Sample
Classical method Redox method
lgN Needed
time (h)
lg MPN Needed
time(h)
1. 5,18 5,36
2. 5,06 5,36
3. 4,93 72 4,36 18
4. 6,35 6,36
5. 6,79 6,36
Quality control 2.
Water
E. coli in still water
Escherichia coli
0
1
2
3
lgN(cfu/100ml)
MicroTester Plate
1. 1. 2. 2. 3. 3. 4. 4.
Quality control 2.
Water
Enterococcus in still water
Enterococcus
0
1
2
3
lgN(cfu/100ml)
MicroTester Plate
1. 1. 2. 2. 3. 3.
Method time comparison
Cell count Time needed (h)
(cfu/ 100 ml) Mikroplate Redox
(with membrane
filtering of 100 ml )
Escherichia coli 256
389
310
618
36
7,67
7,17
7,50
6,50
Enterococcus 44
203
219
36
11,79
11,00
10,96
Quality control 3.
Surfaces
Redox curves, table surface, TSB, 30°C
-400
-200
0
200
400
600
0 5 10 15 20 25
t (h)
Eh(mV)
0. 1.
2.
3.
Enterobacterium: MPN=2.3∙101
Total count: MPN=2.3∙102
Quality control 3.
– The microflora present on the swab is directly
measurable without washing. There is no statistically
significant difference between the microbial counts
obtained with redox-potential measurements and the
plating method.
– By help of internal calibration curve, the viable count
of surfaces with unknown microflora may also be
determined. In further studies of surfaces with
identical microflora, the already established
calibration curve may be applied as an external
calibration curve. Observing the shape of the redox-
curves both the total count and Enterobacterial count
can be determined simultaneously, applying non
selective nutrient broth (TSB) in a single, common
measurement system.
Quality control 3.
– Comparing the time requirement of the methods, the
traditional plating method demands 3 days for the
determination of total count while by the redox
method, using internal calibration and depending on
the level of surface contamination, the viable count
can be determined within 15-20 hours or using
external calibration curve (depending on the level of
the surface contamination) it may be determined
within 4-8 hours.
– Applying external calibration curve, when washing of
swabs and the preparation of dilution series are not
necessary, the duration of the examination, the
material, tool and labor requirements can significantly
be reduced.
Applications 2.
Heat destruction of bacteria
– Campylobacter jejuni
Typical changes in redox-
potential
Calibration diagrams
Campylobacter in different selective broths y = -176,56x + 2026,1
R
2
= 0,9738
0
200
400
600
800
1000
1200
1400
1600
1800
2 3 4 5 6 7 8
Heat destruction experiments
3 different models:
Classical isotherm model
Redox isotherm model
Redox anisotherm model
Thermal death curve –
Classical isotherm method
Classical isotherm
thermal death curve y = -0,086x + 5,3621
R2
= 0,9987
-0,5
0
0,5
1
1,5
48 53 58 63
T (°C)
lgD
Z=11.62°C
Thermal death curve –
Redox isotherm method
Thermal death curve y = -0,1012x + 6,2336
R2
= 0,954
-0,5
0
0,5
1
1,5
50 52 54 56 58 60 62 64 66
T (°C)
lgD
Z=9.88°C
Thermal death curve –
combined isotherm results
Combined thermal death curve y = -0,092x + 5,7014
R2
= 0,971
-0,5
0
0,5
1
1,5
48 53 58 63
T (°C)
lgD
Z=10.86°C
Simplified determination of z-
value
Calibration curve: lgN=a-b·TTD
Decimal reduction time:
D=-Δt/ΔlgN= Δt/(b· ΔTTD)
lgD=lgΔt-lgb-lg(ΔTTD)T
From the thermal death curve:
z
1
T
Dlg



Simplified determination of z-
value
z
1
T
TTDlg
T
blg
T
tlg
T
Dlg


D





D



lgΔTTD is a linear function of temperature,
from the slope the z-value can be calculated
T
z
1
ATTDlg D
Determination of z-value from
anisotherm heat treatment
On the base of calibration curve: z=9.37 °C
Thermal death curve
y = -0,1067x + 5,5218
R2
= 0,9779
-0,8
-0,7
-0,6
-0,5
-0,4
-0,3
-0,2
-0,1
0
54 55 56 57 58 59
T (°C)
lgD
Determination of z-value from
anisotherm heat treatment
On the base of TTDs: z=9.37 °C
Anisotherm heat treatment y = 0,1067x - 3,5787
R2
= 0,9779
1,5
1,8
2,1
2,4
2,7
3
54 55 56 57 58 59
Ti(°C)
lgΔTTD
Determination of z-value
Classical
isotherm
method
Redox
isotherm
method
Redox
anisotherm
method
z-value (°C)
from 4 points
11.63
R2=0.999
9.88
R2=0.954
9.37
R2=0.978
Substrates
needed
12×6=72
Petri-dishes
(dilution series)
12 test flasks 5 test flasks
Additional
equipment
6 jars and
6 microaerophil
sacks
- -
Incubation
time
48 (96)h 35h 35h
Applications 3.
Examination of microbial activity in
soil
–Effects of antibiotics
Applications 3.
Effect of doxycyline (T1 – T5: soil types)
Doxycycline
y = 8.922x
R
2
= 0.9943
y = 6.8416x
R
2
= 0.9498
y = 4.5039x
R
2
= 0.9772
y = 13.544x
R
2
= 0.9835
y = 2.1526x
R2
= 0.9568
0
2
4
6
8
10
12
14
16
18
0 1 2 3
lgc-lgco
TDT-TDTo
T1 T2 T3 T4 T5

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Redox-potential measurement as a rapid method for microbiological testing

  • 1. REDOX-POTENTIAL MEASUREMENT AS A RAPID METHOD FOR MICROBIOLOGICAL TESTING
  • 2. Problems in microbiological quality control Classical methods Long incubation time (1-4 days) The applicability, reliability and test price of the methods are concentration-depending: High concentration: dilution and colony counting in the range of 30-300 cfu/ml. Low concentration: MPN method Membrane filtering
  • 3. Redox-potential measurement Physico-chemical base Assuming a chemical reaction: a A + b B c C + d D [C]c [D]d Q = ------------ [A]a [B]b
  • 4. Free energy and electric work DG = DG° + R T ln Q DG = - n FDE. n F DE = - n F DE° + R T ln Q
  • 5. Electromotive force R T [C]c [D]d DE = DE° - ------- ln --------- n F [A]a [B]b
  • 6. In biological systems The energy source of the growth is the biological oxidation which results in a reduction in the environment. This is due to the oxygen depletion and the production of reducing compounds in the nutrient medium. A typical oxidation-reduction reaction in biological systems: [Oxidant] + [H+] + n e- [Reductant]
  • 7. The electric effect of the changing could be expressed by the Nernst equation: RT [oxidant] [H+] Eh = E0 + ------ ln ---------------- nF [reductant] RT [reductant] Eh = E0 - ------ ln ---------------- nF [oxidant] [H+] Where Eh is the redox-potential referring to the normal hydrogen electrode (V) E0 is the normal redox-potential of the system (V) R is the Gas-constant R = 8.314 J/mol K F is the Faraday constant F = 9.648˙104 C/mol (J/V mol) n is the number of electrons in the redox system (n=1)
  • 8. Test cell for redox potential measurement
  • 9. Typical redox-curve of the microbial growth E. coli 37 °C, TSB -400 -300 -200 -100 0 100 200 300 400 500 0 1 2 3 4 5 6 7 8 9 t (h) Eh(mV) 3 4 5 6 7 8 9 lgN Eh lg N |dE/dt|>DC lg Nc lg N0 TTD
  • 10. The detection time (TTD) is that moment when the absolute value of the rate of redox potential change in the measuring-cell overcomes a value which is significantly differing from the random changes (e.g. |dE/dt|  0.5 mV/min). This value is the detection criterion. As the critical rate of the redox potential decrease needs a determined cell count the detection time depends on the initial microbial count.
  • 11. Redox-curves of several bacteria -400 -300 -200 -100 0 100 200 300 400 500 0 5 10 15 20 t (h) Eh(mV) Campylobacter B. subtilis L. monocytogenes Ent. faecalis Ps. aeruginosa E. coli
  • 12. Effect of the initial Cell- concentration on the redox-curves E. coli in TSB -400 -300 -200 -100 0 100 200 300 400 0 60 120 180 240 300 360 420 480 540 600 660 720 780 840 900 960 t (min) Eh(mV) Steril steril lgN=0,09 lgN=2,38 lgN=3,39 lgN=4,25 lgN=4,80 TTD for the redox-potential measurement is: |DE/D t|>1mV/min
  • 13. Effect of the initial cell concentration on TTD E. coli in TSB 0 1 2 3 4 5 6 2 3 4 5 6 lgNo (cfu/inoculum) TTD(h)
  • 14. Determination of calibration curves 1. External calibration curve Known microflora The equation of the calibration curve is calculated by linear regression from the log N (determined by classical cultivation) and the TTD (is determined instrumentally)
  • 15. Determination of calibration curves 2. Internal calibration curve Unknown microflora This method is applied when the composition of the microflora is not known and previously constructed calibration curve cannot be taken. In this case, the redox potential measurement is combined with the MPN method. Based on the last dilution levels still showing multiplication, the initial viable count is calculated using the MPN-table. Based on the obtained microbe count and TTD values, the internal calibration curve can be constructed.
  • 16. Determination of the internal calibration curve 1.
  • 17. Determination of the internal calibration curve 2.
  • 18. Determination of the internal calibration curve 3.
  • 19. Validation of the Redox-potential measuring method
  • 20. Test microorganisms and culture media of the tests 1. Microorganisms Redox potential Plate counting Escherichia coli BBL, TSB TSA, Tergitol Enterobacter aerogenes BBL, TSB TSA, Tergitol Citrobacter freundii BBL, TSB TSA, Tergitol Klebsiella oxytoca BBL, TSB TSA, Tergitol Acinetobacter lwoffii BBL, TSB TSA, Tergitol Pantoea agglomerans BBL, TSB TSA, Tergitol
  • 21. Test microorganisms and culture media of the tests 2. Microorganisms Redox potential Plate counting Pseudomonas aeruginosa Cetrimide, TSB TSA, Cetrimide Pseudomonas fluorescens Cetrimide, TSB TSA, Cetrimide Enterococcus faecalis Azide, TSB TSA, Slanetz- Bartley Total count TSB TSA
  • 22. Validation characteristics of the method 1. Selectivity it depended on the media used for identification. Linearity from 1 to 107cfu/test flask.
  • 23. Validation characteristics of the method 2. Sensitivity Detection limit 1 cell/test flask. Quantitation limit The theoretical quantitation limit is 10 cell/inoculum (1 log unit), which is in agreement with the obtained calibration curves. min13060 Nlg TTD   
  • 24. Validation characteristics of the method 3. Range On the base of the calibration curves the range lasted from 1 to 7 log unit. Below 10 cells the Poisson-distribution causes problems, over 107 cells the TTD is too short comparing to the transient processes (temperature-, redox- equilibrum, lag-period of the growth). Repeatability Calculated from the calibration curves: SDlgN = 0.092 SDN = 100.092 = 1.24 = 24%
  • 25. Validation characteristics of the method 4. Robustness The most important parameter is the temperature, which has a double effect on the results – the growth rate of the microorganisms and the measured redox-potential are temperature depending. Performing the measurements at the temperature optimum of microorganisms, the growth rate in a ±0.5 °C interval does not change. The effect of the temperature on the measured redox-potential was determined experimentally. The results showed that the effect of the temperature variation is negligible.
  • 26. Advantages of the redox- potential measurement 1. Very simple measurement technique. It does not require strict temperature control. Rapid method, especially in the case of high contamination. Applicable for every nutrient broth (impedimetric methods require special substrates with low conductance). Especially suitable for the evaluation of the membrane filter methods.
  • 27. Advantages of the redox- potential measurement 2. Economic, effective and simple method for heat destruction measurements. Effective tool for the optimization of the nutrient media. The test costs are less than those of the classical methods, especially in the case of zero tolerance in quality control (coliforms, Enterococcus, Pseudomonas, etc.).
  • 28. Application of the redox method 1. Quality control Foods Water Surfaces 2. Heat destruction of bacteria 3. Activity of bacteria 4. Media optimization 5. Efficiency of disinfectants
  • 29. Quality control 1. Foods Enterobacter and total count in raw milk Nyerstej, 1/2 TSB (T=30 °C) -400 -300 -200 -100 0 100 200 300 400 500 0 5 10 15 20 25 t (h) Eh(mV) 0. hig. 1. hig. 2. hig. 3. hig. 4. hig 5. hig 6. hig 7. hig.
  • 30. Quality control 1. Foods Enterobacter and total count in raw milk Nyerstej belső kalibrációs görbe (1/2 TSB, T=30 °C) y = 2,6486x + 1,34 R 2 = 0,9895 0 5 10 15 20 0 1 2 3 4 5 6 7 hígítás TTD(h) Összcsira Enterobacter MPNEnterob.=2,3x102 /ml MPNÖsszcsíra=2,3x106 /ml
  • 31. Comparison of external and internal calibration curves Raw milk y = -1.5014x + 15.413 R2 = 0.9596 0 2 4 6 8 10 12 14 1 2 3 4 5 6 7 8 9 lgN /ml milk TTD(h) Internal External
  • 32. Method time comparison Sample Classical method Redox method lgN Needed time (h) lg MPN Needed time(h) 1. 5,18 5,36 2. 5,06 5,36 3. 4,93 72 4,36 18 4. 6,35 6,36 5. 6,79 6,36
  • 33. Quality control 2. Water E. coli in still water Escherichia coli 0 1 2 3 lgN(cfu/100ml) MicroTester Plate 1. 1. 2. 2. 3. 3. 4. 4.
  • 34. Quality control 2. Water Enterococcus in still water Enterococcus 0 1 2 3 lgN(cfu/100ml) MicroTester Plate 1. 1. 2. 2. 3. 3.
  • 35. Method time comparison Cell count Time needed (h) (cfu/ 100 ml) Mikroplate Redox (with membrane filtering of 100 ml ) Escherichia coli 256 389 310 618 36 7,67 7,17 7,50 6,50 Enterococcus 44 203 219 36 11,79 11,00 10,96
  • 36. Quality control 3. Surfaces Redox curves, table surface, TSB, 30°C -400 -200 0 200 400 600 0 5 10 15 20 25 t (h) Eh(mV) 0. 1. 2. 3. Enterobacterium: MPN=2.3∙101 Total count: MPN=2.3∙102
  • 37. Quality control 3. – The microflora present on the swab is directly measurable without washing. There is no statistically significant difference between the microbial counts obtained with redox-potential measurements and the plating method. – By help of internal calibration curve, the viable count of surfaces with unknown microflora may also be determined. In further studies of surfaces with identical microflora, the already established calibration curve may be applied as an external calibration curve. Observing the shape of the redox- curves both the total count and Enterobacterial count can be determined simultaneously, applying non selective nutrient broth (TSB) in a single, common measurement system.
  • 38. Quality control 3. – Comparing the time requirement of the methods, the traditional plating method demands 3 days for the determination of total count while by the redox method, using internal calibration and depending on the level of surface contamination, the viable count can be determined within 15-20 hours or using external calibration curve (depending on the level of the surface contamination) it may be determined within 4-8 hours. – Applying external calibration curve, when washing of swabs and the preparation of dilution series are not necessary, the duration of the examination, the material, tool and labor requirements can significantly be reduced.
  • 39. Applications 2. Heat destruction of bacteria – Campylobacter jejuni
  • 40. Typical changes in redox- potential
  • 41. Calibration diagrams Campylobacter in different selective broths y = -176,56x + 2026,1 R 2 = 0,9738 0 200 400 600 800 1000 1200 1400 1600 1800 2 3 4 5 6 7 8
  • 42. Heat destruction experiments 3 different models: Classical isotherm model Redox isotherm model Redox anisotherm model
  • 43. Thermal death curve – Classical isotherm method Classical isotherm thermal death curve y = -0,086x + 5,3621 R2 = 0,9987 -0,5 0 0,5 1 1,5 48 53 58 63 T (°C) lgD Z=11.62°C
  • 44. Thermal death curve – Redox isotherm method Thermal death curve y = -0,1012x + 6,2336 R2 = 0,954 -0,5 0 0,5 1 1,5 50 52 54 56 58 60 62 64 66 T (°C) lgD Z=9.88°C
  • 45. Thermal death curve – combined isotherm results Combined thermal death curve y = -0,092x + 5,7014 R2 = 0,971 -0,5 0 0,5 1 1,5 48 53 58 63 T (°C) lgD Z=10.86°C
  • 46. Simplified determination of z- value Calibration curve: lgN=a-b·TTD Decimal reduction time: D=-Δt/ΔlgN= Δt/(b· ΔTTD) lgD=lgΔt-lgb-lg(ΔTTD)T From the thermal death curve: z 1 T Dlg   
  • 47. Simplified determination of z- value z 1 T TTDlg T blg T tlg T Dlg   D      D    lgΔTTD is a linear function of temperature, from the slope the z-value can be calculated T z 1 ATTDlg D
  • 48. Determination of z-value from anisotherm heat treatment On the base of calibration curve: z=9.37 °C Thermal death curve y = -0,1067x + 5,5218 R2 = 0,9779 -0,8 -0,7 -0,6 -0,5 -0,4 -0,3 -0,2 -0,1 0 54 55 56 57 58 59 T (°C) lgD
  • 49. Determination of z-value from anisotherm heat treatment On the base of TTDs: z=9.37 °C Anisotherm heat treatment y = 0,1067x - 3,5787 R2 = 0,9779 1,5 1,8 2,1 2,4 2,7 3 54 55 56 57 58 59 Ti(°C) lgΔTTD
  • 50. Determination of z-value Classical isotherm method Redox isotherm method Redox anisotherm method z-value (°C) from 4 points 11.63 R2=0.999 9.88 R2=0.954 9.37 R2=0.978 Substrates needed 12×6=72 Petri-dishes (dilution series) 12 test flasks 5 test flasks Additional equipment 6 jars and 6 microaerophil sacks - - Incubation time 48 (96)h 35h 35h
  • 51. Applications 3. Examination of microbial activity in soil –Effects of antibiotics
  • 52. Applications 3. Effect of doxycyline (T1 – T5: soil types) Doxycycline y = 8.922x R 2 = 0.9943 y = 6.8416x R 2 = 0.9498 y = 4.5039x R 2 = 0.9772 y = 13.544x R 2 = 0.9835 y = 2.1526x R2 = 0.9568 0 2 4 6 8 10 12 14 16 18 0 1 2 3 lgc-lgco TDT-TDTo T1 T2 T3 T4 T5