© Inštitut za sanitarno inženirstvo, 2010.
Original scientific paper
Influence of Food
Composition on Freezing
Time
Sebastjan FILIP1, Rok FINK1, Mojca jEVŠNIK2*
ABsTRACT
Freezing is still the best way to preserve food when is carried out properly and
allows production of food without any chemical preservatives. It is important to
accurately predict the freezing time of different kinds of food to assess the
quality and safety of the foodstuffs, processing requirements, and economical
aspects of food freezing. The aim of this research was to investigate the
influence of food product composition on freezing time. The research based on
hypothesis: the composition of food product has significant effect on freezing
time considering that the products have the same shape, mass and relief. In
our research we recorded four batches of standard product with three different
fillings (chocolate, vanilla and forest fruit) at the same freezing conditions. The
products from puff pastry were always made from the same ingredients and
also mass, shape, relief, slab and surface were constant. The core temperature
after 41 minutes of freezing at air temperature – 32 oC ± 2 oC and constant
velocity reached in chocolate product – 24.4 oC ± 0.2 oC, meanwhile in forest
fruit – 17.0 oC ± 0.2 oC and vanilla only – 12.8 oC ± 0.2 oC; thus confirmed
our hypothesis. For SMEs (small and medium size food enterprisers) which
represent 99 % of all enterprises in the EU, it is essential to establish their own
model for predicting freezing time which is more applicable that general
theoretical models that require a lot of data which are not common accessible
for SMEs.
KEy WoRDs:
Freezing, Food composition, Freezing time, Freezing point, Food quality, Food
safety.
4
International Journal of Sanitary Engineering Research
Received: 12. 1. 2010
Accepted: 10. 7. 2010
1
University of Ljubljana,
Biotechnical Faculty,
Department of Food Science and
Technology,
Jamnikarjeva 101, SI-1000 Ljubljana
2
University of Ljubljana,
Faculty of Health Sciences,
Department of Sanitary Engineering,
Zdravstvena pot 5, SI-1000 Ljubljana
*
corresponding author:
Mojca Jevšnik
Tel.: ++38613001149
Fax:++38613001119
e-mail: mojca.jevsnik@zf.uni-lj.si
Vol. 4 No. 1/2010
Influence of Food Composition on Freezing Time S. Filip, R. Fink, M. Jevšnik
INTRoDUCTIoN
Like most food preservation methods, the freezing process for food has
evolved over a significant period of time. As an extension of cooling, the
primary goal of food freezing has been the reduction of microbial growth
and/or control of reactions causing spoilage of the food, as well as the
corresponding extension of product shelf-life. In addition, the process
has extended the availability of many food commodities for consumption at any time during the year. Frozen food can be transported for
longer distances and the process has contributed to making foods available on a worldwide basis. For most applications, the food products are
held in storage for some period of time before thaned, and prepared for
consumption. More recently, the process has evolved to include a variety of products that are consumed in a frozen state [1]. The principal
objective of the new general and specific hygiene rules is to ensure a
high level of consumer protection with regard to food safety. Food business operators shall ensure that all stages of production, processing
and distribution of food under their control, satisfy the relevant hygiene
requirements, laid down in Regulation (EC) No. 852/2004. This regulation emphasizes the importance of cold chain throughout HACCP (Hazard Analysis and Critical Control Point) system for all foodstuff that require cooling or freezing regime [2]. Kassianenko and co-workers [3]
emphasis the importance of cold chain, which is a vital part of modern
global trade as it has impact on all food commodities. In today’s modern society, refrigerated storage is one of the most widely practiced
methods of preserving perishable food. Improper use of this process increases the potential risk and microbial hazards will advance, thus leading to the food borne illnesses.
The purposes of food freezing is preservation of food, reducing the activity of enzymes and microorganisms, reducing the amount of liquid
water for microbial growth and reducing water activity of foods
[2,4,5,6]. Freezing is still the best way to preserve food when is carried
out properly and allows production of food without any chemical preservatives. Thermo physical properties of frozen food are used to estimate the rate of heat transfer and to calculate the heat load in process
such as freezing and thawing [7]. The early calculations and analyses
associated with freezing and thawing, primary used constant and uniform thermo physical properties [8]. The calculations and analyses
were typically oversimplified and inaccurate. Numerical analyses such
as finite difference methods were used widely to analyze thermal food
processes [9]. The large number of food products, available today, create a great demand for knowledge on thermo physical properties. Since
foodstuff are composite materials, the thermo physical properties are
clearly a function of the components [10,11]. The core temperature for
frozen food are prescribed by the Regulation upon safety of frozen food,
63/2002 [12] (the Council directive of 21 December 1988 on the approximation of the laws of the Member States relating to quick-frozen
foodstuffs for human consumption (89/108/EEC)) and so it is an obligation to release the products on market with proper core temperature
which has to be below – 18 ºC. Nevertheless the monitoring of temperaInternational Journal of Sanitary Engineering Research
The principal objective of
the new general and specific
hygiene rules is to ensure a
high level of consumer
protection with regard to
food safety.
Freezing is still the best way
to preserve food when is
carried out properly and
allows production of food
without any chemical
preservatives.
The large number of food
products, available today,
create a great demand for
knowledge on thermo
physical properties.
Vol. 4 No. 1/2010
5
S. Filip, R. Fink, M. Jevšnik Influence of Food Composition on Freezing Time
It is important to accurately
predict the freezing time of
foods to assess the quality
and safety, processing
requirements, and
economical aspects of food
freezing.
The freezing time of a food of
any shape can be calculated
by quite a lot of different
equations and are quite
difficult for use in industry
because of the wide range of
variables.
The most often mistake is
overlaying the parameters to
other similar products.
ture during the transport is regulated with the Commission Regulation
(EC) No. 37/2005 [13] of 12 January 2005 on the monitoring of temperatures in the means of transport; warehousing and storage of quickfrozen foodstuffs intended for human consumption and allowed short
time deviation of temperature should not exceed 3 ºC.
It is important to accurately predict the freezing time of foods to assess
the quality and safety, processing requirements, and economical aspects of food freezing [14]. But freezing process has a problem with
moving boundaries [15]. Food, undergoing freezing, release latent heat
over a range of temperatures. Freezing does not occur at unique temperature. In addition, food do not have constant thermal properties during freezing. As result, no exact mathematical model exists for predicting the freezing time of foods [16,17].
As proposed by Cleland and co-workers in successive papers [4], one of
the ways to determine the freezing time of a multi-dimensional product
is to know both the freezing time of a slab under the same operating
conditions and a geometric shape factor [18]. Authors initially noted
such a factor, such as EHTD (the equivalent heat transfer dimensionality). Therefore, the freezing time of a food of any shape can be calculated by quite a lot of different equations and are quite difficult for use in
industry because of the wide range of variables. The experimental or
testing method which has a lot of process traps in often used in practice. The most often mistake is overlaying the parameters to other similar products (mass, shape, relief, slab, etc.). The freezing time requirement for each entity is estimated by the simulation model using the
Plank’s equation. Plank developed an equation, based on the unique
phase change model, for estimating freezing time for different geometrical shapes, and allowing for varying film coefficients. The equation, derived from one-dimensional infinite slab geometry and has been analytically extended for infinite cylinders, spheres and for finite parallelepiped
geometries. Plank’s equation is common worldwide used and can be
expressed as follows [19], equation 1. Where the tf is time required for
freezing (in min), ρ product density, ΔH latent heat of freezing, R characteristic half thickness of the food object, h, kf are heat transfer coefficient and thermal conductivity (before freezing) respectively θif, θa denote the freezing point and ambient temperatures.
ρ ⋅ ∆H
tf =
θ if − θ a
tf
ρ
ΔH
R
h, kf
θif, θa
R R2
+
h 2k
f
(1)
time for freezing (min)
product density (kg/m3)
latent heat of freezing (kJ/kg)
half thickness of the food object (m)
heat transfer coefficient (W/(m2ּC))
thermal conductivity (W/(mּC))
Carefully planned and efficiently provided education of employees is of
the great importance. Lectures should be carried out by competent ex6
© Inštitut za sanitarno inženirstvo, 2010.
Influence of Food Composition on Freezing Time S. Filip, R. Fink, M. Jevšnik
perts with relevant experience, who will provide specific information to
every employee according to their assigned task. Employees should be
personally responsible for their work [20]. The consumer is also a
source of hazard for itself and that should be incorporated in the risk
assessment. The results from research carried out by Ovca and Jevšnik
[21] confirmed that the term ‘‘cold chain” is not well known among consumers. They also confirmed that Slovenian and European consumers
place the responsibility of maintaining a cold chain into other parts of
the food chain. One of the reasons for poor knowledge of the cold chain
could be due to the unsatisfactory efforts of governmental and nongovernmental organizations, which are responsible for educating and
informing consumers.
The role of the consumer in maintaining a cold chain is more important
than is currently thought, and is greater than the importance attached
to other parts of the food chain.
MATERIALs AND METHoDs
Samples were prepared as part of daily production on continuous line at
food enterpriser according to its production capacity. The product core
temperature and time were measured during shock freezing using RTDTEMP101; SN: M32551, for the range from -100 °C to +600 °C
(MadgeTech, Contoocook, New Hampshire, USA), calibrated with
measurement error 0.2 °C and evaluated using program MadgeTech
Data Recorder Software, version 2.00.63. with the statistical parameters included. We recorded core temperature every 6 seconds and thus
we got for each measure 410 thermal points for describing the decrease
of temperature in core of product. Water activity was measure using
Testo 650 with electrode 0628-0044 (910) at 25 ºC, meanwhile the
compositions were analyzed in Slovenian National Public Health Institute. The results of analyses are stated in Table 1. The puff pastry was
always made from the same ingredients; also mass, shape, relief and
surface were constant. Times of freezing, air temperature, air speed in
continuous shock freezer were also constant and were not changed during the process. Freezing medium was always cooled air with temperature of -32.0 ºC ± 2.0 ºC, constant velocity and time of freezing for 41
minutes. Selected fills were vanilla, chocolate and forest fruits. Each
piece of product was weighted on continuous packaging equipment
(n = 9000; 100.00 g ± 2.8 g). We measured the temperature of each
type of product in for parallel batch at the same conditions: (vanilla, n
= 4; chocolate, n = 4; forest fruits, n = 4). Predicted freezing time for
mass 100 g was 40 min – 45 min at - 32.0 ºC ± 2.0 ºC, constant velocity, as stated in producer’s instructions. The time of freezing is managed by belt speed. At one time in freezer were 820 kg of product or
8,200 pieces. The results of core temperature after 41 minutes of
freezing were processed by the XLSTAT 2009.6.01 Comparison of
samples using nonparametric test, multiple pair wise comparisons using
the Nemenyi’s procedure/Two-tailed test with significance level
5 %.
International Journal of Sanitary Engineering Research
Lectures should be carried
out by competent experts
with relevant experience,
who will provide specific
information to every
employee according to their
assigned task.
The role of the consumer in
maintaining a cold chain is
more important than is
currently thought, and is
greater than the importance
attached to other parts of the
food chain.
Vol. 4 No. 1/2010
7
S. Filip, R. Fink, M. Jevšnik Influence of Food Composition on Freezing Time
REsULTs AND DIsCUssIoN
Figure 1.
Core temperature in correlation to time
of freezing for four batches.
a. the first batch; b. the second batch;
c. the third batch; d. the fourth batch.
8
According to our four batches we recorded core temperature every 6
seconds and thus we got for each measure 410 thermal points for describing the decrease of temperature in core of product. When we compare the data between four parallels within one type of product we ascertain no statistical difference (p < 0.001). Results from recorded
data for all products are stated on the Figures 1 from a to d. Within one
type of product there is no difference within type of product or according of the used fill. As Figure 1 shows that the time of freezing was
constant 41 minutes and at this time only one product (chocolate filling)
reached the temperature below -18 ºC and the core temperature after
41 minutes of freezing reached -24.4 ºC ± 0.2 ºC. The core temperature for product with forest fruit filling almost reached the required temperature (-18 ºC) but nevertheless it was still with its -17.0 ºC ± 0.2 ºC
more than 1.0 ºC to high. The highest core temperature we measured in
product with vanilla filling and it was -12.8 ºC ± 0.2 ºC after 41 minutes
of freezing. Summary data of four investigated batches are shown in the
Table 2. Reason for such differences between similar products is in the
specific heat and enthalpy. In general we can conclude that the food
with higher content of water have higher specific heat and higher enthalpy (at 0 ºC) thus need longer freezing time compare to similar prod-
a
b
c
d
© Inštitut za sanitarno inženirstvo, 2010.
Influence of Food Composition on Freezing Time S. Filip, R. Fink, M. Jevšnik
Table 1:
Composition of food product with three different types of filling.
C filling
V filling
FF filling
C
V
8.15
1.12
1.79
6.17
5.73
5.11
Carbohydrates
56.21
30.86
51.86
45.02
32.89
44.28
Fat
33.52
1.68
1.74
27.24
12.96
18.19
Water
1.08
65.32
43.56
20.5
47.45
31.4
Ash
1.04
1.02
1.05
1.07
0.97
1.02
0.394
0.972
0.946
0.879
0.952
0.917
Proteins
aw (25 ºC)
FF
C, V, FF with postscript “filling” are data for pure fill, V: vanilla product, C: chocolate product, FF: forest fruit product, aw water activity.
Table 2:
Summary of recorded core temperatures in food product with three different types of filling.
t (min.)
product
0
5
V
23.4
C
1st
2nd
3th
4th
x
p-value
10
15
20
25
30
35
40
15.9
-1.2
-5.1
-7.1
-8.4
-9.5
-11.2
-12.8
23.9
15.9
4.8
-3.2
-8.3
-12.6
-16.5
-21.1
-24.3
FF
24.4
15.9
7.5
-0.6
-6.2
-10.4
-11.8
-13.7
-16.9
V
23.9
15.9
-1.3
-5.3
-7.1
-8.5
-9.5
-11.2
-12.7
C
23.9
15.9
4.7
-3.4
-8.4
-12.5
-16.6
-21.2
-24.3
FF
24.4
15.9
7.4
-0.5
-6.3
-10.4
-11.8
-13.9
-16.9
V
23.4
15.9
-1.4
-5.4
-7.0
-8.4
-9.6
-11.2
-12.8
C
24.1
15.9
4.5
-3.7
-8.3
-12.6
-16.7
-21.3
-24.3
FF
24.4
15.9
7.3
-0.5
-6.4
-10.4
-11.8
-13.8
-16.9
V
24.1
15.9
-1.4
-5.5
-7.1
-8.5
-9.6
-11.2
-12.8
C
24.0
15.9
4.4
-3.5
-8.4
-12.7
-16.7
-21.3
-24.4
FF
24.4
15.9
7.2
-0.7
-6.5
-10.5
-11.9
-13.9
-17.0
V
24.1a
15.9a
-1.4c
-5.5c
-7.1b
-8.5a
-9.6a
-11.2a
-12.8a
C
24.0a
15.9a
4.4b
-3.5b
-8.4c
-12.7c
-16.7c
-21.3c
-24.4c
FF
24.4a
15.9a
7.2a
-0.7a
-6.5a
-10.5b
-11.9b
-13.9b
-17.0b
p >0.05
p >0.05
p ≤0.001 p ≤0.001 p ≤0.001 p ≤0.001 p ≤0.001 p ≤0.001 p ≤0.001
t: time of freezing in minutes, V: vanilla product, C: chocolate product, FF: forest fruit product, x : average values for four batches,
Significant at p ≤0.001; significant at p ≤0.01; significant at p ≤0.05; p >0.05, not significant, Values followed by a different letter are
significantly different along the column for the Duncan (0.05) test.
International Journal of Sanitary Engineering Research
Vol. 4 No. 1/2010
9
S. Filip, R. Fink, M. Jevšnik Influence of Food Composition on Freezing Time
Figure 2.
Phase change from liquid to solid (ice).
T: predicted temperature (oC);
t: time (min) in range from 0 to -12 oC.
Figure 3.
Food composition in correlation to
core temperature in sampled products.
10
ucts with lover water content. Freezing time as correlation to water content as well as dry matter from our research is described with equation
on the Figures 2 and 3.
There are exceptions like cucumber which has water content 95.4 %
and enthalpy 390 kJ/kg (at 0 ºC), but low specific heat capacity
(1.02 kJ/(kgּK)) thus its water in 100 % freeze at -5 ºC, meanwhile tomato pulp with water content 92.9 % and enthalpy 382 kJ/kg (at 0 ºC),
but higher specific heat capacity (4.02 kJ/(kgּK)) at -5 ºC have still
16 % of unfrozen water [11]. The time of cooling when the 0 ºC was
© Inštitut za sanitarno inženirstvo, 2010.
Influence of Food Composition on Freezing Time S. Filip, R. Fink, M. Jevšnik
achieved, was also different – 9 minutes for vanilla, 13 minutes for
chocolate and 15 minutes for forest fruit. So the filling with the highest
content of water cool down to 0 ºC rapidly compare to other two. The
cooling gradient from 24 ºC to 0 ºC for vanilla was 2.7 ºC/min, 1.8 ºC/min
for chocolate and 1.6 ºC/min for forest fruit filling. This temperature
cooling gradient is also shown on the Figures 1 to 3. Although any solid
food is not solution, the aqueous component in the frozen solid food
can be considered as a mixture of ice and a solution of nonaqueous
components in liquid water. As water in the food freezes into pure ice
during the freezing, the remaining solution becomes more and more
concentrated. Thus, depression of the freezing point of the food occurs
and continues as concentration increases. The net effects of dynamic
freezing point depression are that the initial freezing point of the food is
below 0 ºC. The freezing process occurs over a range of temperatures,
which is different from the freezing process of pure water at unique
temperature. The phase changes from liquid water to solid (ice) are
shown in the Figure 2.
When the 0 ºC was reached after different time in each product, the
temperature gradient in all products changed rapidly because of the
changing of physical state from liquid to solid (ice). At this point the
phenomena discussed above appear, so the products with higher content of water need more energy to convert all water to ice. The product
with chocolate filling which has the highest content of fat continues to
cool down at the quite the same temperature gradient. It can be assumed that the fat in the chocolate consist majority from saturated fatty
acids which are solid at room temperature, thus there is less water than
in other two cases that has to be converted from liquid to solid.
Although any solid food is
not solution, the aqueous
component in the frozen solid
food can be considered as a
mixture of ice and a solution
of nonaqueous components
in liquid water.
The products with higher
content of water need more
energy to convert all water to
ice.
CoNCLUsIoNs
As expected, the product containing the highest level of water (vanilla filling) has not reached the target temperature and it was with the core
temperature extremely above the -18 ºC and thus can represent a food
safety hazard as well as risk for consumers. There are data confirming
microbial growth of some Gram-negative bacteria at -4 ºC and growth of
bacilli, that is, Gram-positive bacteria at -7 ºC [4]. The problem of higher
core temperature than -18 ºC in frozen food products, which is also obligatory by the law, is not concerning only the primary production process
or enterprisers but concerns all actors in food supply chain [2].
In general we need longer
time of freezing for foodstuff
with high water and the
water soluble components.
The data of food composition as well as shape, density, surface are
necessary to predict freezing conditions. On one hand it is possible to
reach target temperature by pre-cooling of raw material (where possible), while on the other hand we can prolong the time of freezing and
lower the temperature of freezing media (air) and increase its velocity
for better heat transfer (not always applicative). In general we need
longer time of freezing for foodstuff with high water in the water soluble
components. Because of the effect of lowering freezing point as result
of concentrating the solution in food, as well as knowing the mean of
the importance of specific heat. There are also some other methods to
International Journal of Sanitary Engineering Research
Vol. 4 No. 1/2010
11
S. Filip, R. Fink, M. Jevšnik Influence of Food Composition on Freezing Time
In practice every part of food
supply chain has the manage
system which pushes the
action to limits like just in
time management.
decrease freezing time such as use of cryogenic freezing, where extreme
low temperatures are used by liquid gasses (N2, He, CO2) or increasing
the dry matter by adding hydrocolloids, proteins and sugars.
Global food safety will be achieved, when every single link in the food
chain will entirely (in its indoor and outdoor environment) become master of its particular area and will trust in activity of both previous and
following link in the food safety circle “from farm to table”, not ignoring
consumer [22]. Usually in practice every part of food supply chain has
the manage system which pushes the action to limits like just in time
management. So there is possibility that frozen food with inadequate
temperature from enterpriser over the logistics, reach the retailer
shelves thus even consumer, who can storage such a frozen food according to expire date. For SMEs is essential to establish their own
model for predicting freezing time which is more applicable than general theoretical models that require a lot of data which are not common
accessible for SMEs.
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