Food Thermal Processing
Food Thermal Processing
Processing of
Packaged Foods
Ricardo Simpson
Universidad Técnica Federico Santa María, Chile
Helena Nuñez
Universidad Técnica Federico Santa María, Chile
Cristian Ramírez
Universidad Técnica Federico Santa María, Chile
https://doi.org/10.21061/IntroBiosystemsEngineering/Food_Thermal_Processing
Copyright / license:
© The author(s)
This work is licensed under a Creative Commons Attribution (CC BY) 4.0 license.
https://creativecommons.org/licenses/by/4.0
The work is published jointly by the American Society of Agricultural and Biological Engineers (ASABE) www.asabe.org
and Virginia Tech Publishing publishing.vt.edu.
Principles of Thermal
Processing of
Packaged Foods
Ricardo Simpson Cristian Ramírez
Departamento de Ingeniería Química y Ambiental, Departamento de Ingeniería Química y Ambiental,
Universidad Técnica Federico Santa María, Valparaíso, Chile Universidad Técnica Federico Santa María, Valparaíso, Chile
Centro Regional de Estudios en Alimentos y Salud (CREAS) Centro Regional de Estudios en Alimentos y Salud (CREAS)
Conicyt-Regional GORE Valparaíso Project R17A10001, Conicyt-Regional GORE Valparaíso Project R17A10001,
Curauma, Valparaíso, Chile Curauma, Valparaíso, Chile
Helena Nuñez
Departamento de Ingeniería Química y Ambiental,
Universidad Técnica Federico Santa Maria, Valparaíso, Chile
KEY TERMS
Variables
α = thermal diffusivity
ρ = density
Cp = specific heat
CUT = time required to come up to retort temperature
D = decimal reduction time
F0 = cumulative lethality of the process from time 0 to the end of the
process
I = inactivation
k = rate constant
Kt = thermal conductivity
N = number
t = time
1
T = temperature
Tref = reference temperature
TRT = retort temperature
z = temperature change
Introduction
Thermal processing of foods, like cooking, involves heat and food. However, thermal
processing is applied to ensure food safety and not necessarily to cook the food.
Thermal processing as a means of preservation of uncooked food was invented in
France in 1795 by Nicholas Appert, a chef who was determined to win the prize
of 12,000 francs offered by Napoleon for a way to prevent military food supplies
from spoiling. Appert worked with Peter Durand to preserve meats and vegetables
encased in jars or tin cans under vacuum and sealed with pitch and, by 1804, opened
his first vacuum-packing plant. This French military secret soon leaked out, but
it took more than 50 years for Louis Pasteur to provide the explanation for the
effectiveness of Appert’s method, when Pasteur was able to demonstrate that
the growth of microorganisms was the cause of food spoilage.
The preservation for storage by thermal treatment and removal of atmo-
sphere is known generically as canning, regardless of what container is used
to store the food. The basic principles of canning have not changed dramati-
cally since Appert and Durand developed the process: apply enough heat to
food to destroy or inactivate microorganisms, then pack the food into sealed or
“airtight” containers, ideally under vacuum. Canned foods have a shelf life
of one to four years at ordinary temperatures, making them convenient, afford-
able, and easy to transport.
Outcomes
After reading this chapter, you should be able to:
• Identify the role of heat transfer concepts in thermal processing of packaged foods
• Describe the inactivation conditions needed for some example microorganisms important for food safety
• Apply, in simple form, the main thermal food processing evaluation techniques
Concepts
The main concepts used in thermal processing of foods include: (a) heat transfer;
(b) heat resistance of microorganisms of concern; and (c) bacterial inactivation.
Figure 1. Main heat transfer mechanisms involved in the thermal processing of packaged foods.
Bacterial Inactivation
Abundant scientific literature supports the application of first-order kinetics to
quantify bacterial (spores) inactivation as (Esty and Meyer, 1922; Ball and Olson,
1957; Stumbo, 1973, Holdsworth and Simpson, 2016):
dN
kN (2)
dt I
where N = viable bacterial (microbial) concentration (microorganisms/g) after
process time t
t = time
I = inactivation
k = bacterial inactivation rate constant (1/time)
ln 10 2.303 (3)
k
D D
or
ln 10 2.303 (4)
D
k k
t
log N log N 0 (5)
D
where N = number of survivors
N0 = N at time zero, the start of the process
T Tref (6)
log D log Dref
z
or
Tref T
(7)
D Dref 10 z
F0 10 z
dt (9)
0
where F0 = cumulative lethality of the process from time 0 to the end of the process (t)
T = temperature measured at the food cold spot, which is the place in the food that
heats last
Tref = temperature of microorganism reference; for sterilization of low-acid foods,
Tref = 121.1°C for C. botulinum
z = temperature change necessary to reduce D value by ten times; in the case of
sterilization of low-acid foods, z = 10°C for C. botulinum
t = process time to reach F0
F0 = 10 10
dt = 100 dt= 1 dt
0 0 0
Applications
Commercial Sterilization
Process
A general, simplified flow diagram
for a typical commercial canning
factory is presented in figure 4.
Stage 1: Selecting and prepar-
ing the food as cleanly, rapidly, and
precisely as possible. Foods that
maintain their desirable color, fla-
vor, and texture through commer-
cial sterilization include broccoli,
corn, spinach, peas, green beans,
peaches, cherries, berries, sauces,
purees, jams and jellies, fruit and
vegetable juices, and some meats
(Featherstone, 2015). The prepara-
tion must be performed with great
Figure 4. Stages of a typical commercial food canning process. care and with the least amount of
Examples
Example 1: Calculation of microbial count after a given
thermal process
Problem:
The D120°C value for a microorganism is 3 minutes. If the initial microbial con-
tamination is 1012 cells per gram of product, how many microorganisms will
remain in the sample after heat treatment at 120°C for 18 minutes?
Solution:
Calculate the number of remaining cells using equation 5 with N0 = 1012 cells/g,
t = 18 minutes, and D120°C = 3 minutes.
From equation 5,
t
log N (t) = log N 0
D
cells 18 min
log N 18 log 1012
g 3 min
Solving for N(18) yields:
Discussion:
Starting with a known microbial concentration (N0), the final concentration of
a specific microorganism for a given thermal process at constant temperature
can be calculated if the thermal resistance of the microorganism at a given
temperature is known. In this case, D120°C = 3 min.
t (5)
log N (t) = log N 0
D
10 min
log 2.15 103 cells/g log 1010 cells/g
D 75C
and D75°C = 1.5 min.
T Tref
log D = log Dref
z
Solving for z, equation 6 can be expressed as:
T
z
D
log 1
D2
with ∆T = (75 –65)°C, D1 = D65°C and D2 = D75°C,
75 65
z 10°C
15
log
1.5
Discussion:
As previously explained, the z value represents the change in process tempera-
ture required to reduce the D value of the target microorganism by ten times. In
this case, the z value is 10°C and accordingly the D value was reduced 10 times,
from 15 minutes to 1.5 minutes.
(a) Determine CUT (the time required to come up to TRT), operator process
time Pt, and cooling time.
(b) Determine the lethality value (F0) attained for the can of tuna fish.
Solution:
(a) To determine CUT and Pt, plot TRT and
Tcold spot against time, which produces the
thermal profiles in figure 6.
Figure 6 shows that the CUT is approxi-
mately 10 min and Pt, during which process
temperature is maintained constant at
120°C, is approximately 64 min.
(b) The lethality value, F0, can be obtained
through numerical integration of equation 9
using the trapezoidal rule (Patashnik, 1953).
The calculations can be completed as
follows or using software such as Excel.
As presented in table 3, for each time, we
can evaluate equation 9: Figure 6. Temperature profile of thermal processing data in table 2.
t T 121.1
F0 10 10
dt (9)
0
where T = T
cold spot and Tref and z-value for
Clostridium botulinum are 121.1°C
and 10°C, respectively.
Discussion:
The cumulative lethality, F0, was about 6.01 min, meaning that the process is
safe according to FDA requirements, i.e., F0 ≥ 3 min (see the Food Sterilization
Criterion and Calculation section above).
Solution:
The F0 is typically set for the 12D value to give a 12 log reduction of heat-resistant
species of mesophilic spores (typically taken as C. botulinum). The Tref = 121.1°C
and z = 10°C. Therefore, equation 9 can be used directly by replacing T by the
retort temperature, given that cold spot temperature can be assumed equal
to retort temperature:
t T 121.1
F0 10 z
dt (9)
0
t 120 121.1
6 10 10
dt
0
6
t 120 121.1
10 10
(b) When the temperature of the retort is reduced to 110°C, the lethality must
be maintained at 6 min. Solving equation 9:
t 110 121.1
6 10 10
dt
0
t 130 121.1
6 10 10
dt
0
Discussion:
The results showed that as the temperature in the food increased in 10°C incre-
ments, the processing time was reduced by one decimal reduction. This variation
is due to a z value of 10°C.
b
A f ( x)dx (10)
a
Figure 10. Example of a An approximation of the area A is the sum of the areas of the individual trap-
trapezoid. ezoids (T), where T can be calculated using equation 11:
or, in the following reduced form: Figure 11. Curve divided into n equal parts
each of length ΔX.
f (x0 ) n 1 f (xn )
(13)
T x f (xi )
2 i 1 2
xn 1 1 1
A = f (x)dx x 1 f (xo ) f (x1 ) x2 f (x1 ) f (x2 ) ... xn f (xn 1 ) f (x n ) (14)
x 0 2 2 2
When all intervals are of the same size (∆x1 = ∆x2 = ∆x3 = . . . = ∆xn = ∆x), the
following expression can be applied:
xn f ( x0 ) n 1 f ( xn ) 1 n 1
A= f ( x)dx x( f ( xi ) ) x( f ( x0 ) 2 f ( xi ) f ( xn )) (15)
x0 2 i 1 2 2 i 1
Example
Problem:
Using the heat penetration data at the cold spot of Table 4. Heat penetration data at the slowest heating
a canned food in table 4, calculate the cumulative point.
lethality, F0, in the range of 23 to 27 min using the
Time (min) Temperature (C)
trapezoidal rule.
... ...
Solution: 23 118.5
From equation 9, 24 118.7
25 118.9
T 121.1
27
26 119.1
Fo 10 10
dt
23
27 119.3
Applying the trapezoidal rule and considering ... ...
that all time steps are equal (∆t = 1 min), calculate
F0 using equation 15,
T 121.1
27 1
Fo 10 10
dt f (23) 2 f (24) 2 f (25) 2 f (26) f (27)
23 2
118.5121.1
f (23) 10 10
0.549541
Discussion:
The applied process to sterilize the target food is not safe since F0 < 3 minutes.
Image Credits
Figure 1. Simpson, R. (CC By 4.0). (2020). Main heat transfer mechanisms involved in the thermal
processing of packaged foods. Retrieved from https://onlinelibrary.wiley.com
Figure 2. Holdsworth, S. Donald-Simpson, R. (CC By 4.0). (2020). Semilogarithmic survivor
curve. Retrieved from https://www.springer.com/la/book/9783319249025
Figure 3. Holdsworth, S. Donald-Simpson, R. (CC By 4.0). (2020). Thermal death time (TDT)
curve. Retrieved from https://www.springer.com/la/book/9783319249025.
Figure 4. Simpson, R. (CC By 4.0). (2020). Stages of a typical food commercial canning factory.
Figure 5. Ramírez, C. (CC By 4.0). (2020). Temperature profiles for a typical thermal process,
where CUT is come-up time and Pt is operator time.
Figure 6. Ramírez, C. (CC By 4.0). (2020). Temperature profile of thermal processing data in
table 2.
Figure 7. Ramírez, C. (CC By 4.0). (2020). Thermal process temperature profiles including the
cumulative lethality value (F at any time t ).
Figure 8. Ramírez, C. (CC By 4.0). (2020). Temperature profile of thermal processing data
(Table 4).
Figure 9. Ramírez, C. (CC By 4.0). (2020). Thermal process temperature profiles including the
cumulative lethality value (F at any time t ).
Figure 10. Simpson, R. (CC By 4.0). (2020). Example of a trapezoid.
Figure 11. Simpson, R. (CC By 4.0). (2020). Curve divided into n equal parts each of length ΔX.
References
Ball, C. O., & Olson, F. C. (1957). Sterilization in food technology—Theory, practice and calcula-
tions. New York, NY: McGraw-Hill.
Bigelow, W. D. (1921). The logarithmic nature of thermal death time curves. J. Infectious Dis.,
29(5), 528-536. https://doi.org/10.1093/infdis/29.5.528.
Bigelow, W. D., & Esty, J. R. (1920). The thermal death point in relation to time of typical
thermophilic organisms. J. Infectious Dis., 27(6), 602-617. https://doi.org/10.1093/infdis/
27.6.602.