Access to this full-text is provided by Canadian Center of Science and Education.
Content available from Journal of Food Research
This content is subject to copyright.
Journal of Food Research; Vol. 11, No. 2; 2022
ISSN 1927-0887 E-ISSN 1927-0895
Published by Canadian Center of Science and Education
69
Influence of Refining and Conching Systems on Rheological and
Sensory Properties of Chocolate
Paulo Túlio de Souza Silveira1, Arali Cunha Aguiar Pedroso2, Caetano Pedroso Muniz1, Marcelo Cristianini1 &
Priscilla Efraim1
1 Departament of Food Engineering and Technology, School of Food Engineering, University of Campinas,
Brazil
2 GENCAU, Tambaú, Brazil
Correspondence: Priscilla Efraim, School of Food Engineering, University of Campinas, Campinas, São Paulo,
Brazil. E-mail: pris@unicamp.br
Received: January 24, 2022 Accepted: April 9, 2022 Online Published: April 25, 2022
doi:10.5539/jfr.v11n2p69 URL: https://doi.org/10.5539/jfr.v11n2p69
Abstract
There are different refining systems on the market and knowing the differences between these systems can help
choose equipment according to the needs of each chocolate manufacturer. This work aimed to evaluate different
technologies for the chocolate refining stage and evaluate the impacts on the physical, chemical and sensory
characteristics of the chocolates produced. We evaluated the following refining systems: System 1: Double
refining; System 2: Refining in ball mill; System 3: Refining in ball mill and BLC conching; System 4: Refining
and conching in refining conche; System 5: Refining and conching in stone mill – melanger; System 6: Simple
refining. All of these refining systems were evaluated for pH, total titratable acidity, moisture, maximum particle
size, particle size distribution, rheology, and sensory characteristics. The refining and conching system resulted
in considerable changes in the evaluation of features such as total titratable acidity, moisture, maximum particle
size, particle size distribution, and rheological properties. In the sensory evaluation, attributes such as aroma,
hardness, melting, and color did not show significant differences. On the other hand, we observed significant
differences in attributes such as overall impression, flavor, grittiness, and acidity. It was possible to conclude that
the combination of refining systems with homogenizing conche can be favorable for obtaining chocolates due to
greater fluidity and better results in sensory evaluation.
Keywords: dark chocolate, particle size, rheology, sensory evaluation
1. Introduction
Traditionally, chocolate manufacturing methods are based on mixing ingredients, grinding in roller refiners
(refining stage), conching and tempering (Beckett, 1999; Ziegler & Hogg, 2009; Alamprese, Datei & Semeraro,
2007).
All these steps in the chocolate manufacturing process, in addition to the parameters adopted, affect the
properties of the chocolate and determine the behavior and characteristics of the final product. Thus, controlling,
determining and knowing the technological parameters is essential to achieve a constant and desirable quality in
production (Muller-Fischer & Windhab, 2005; Baixauli, Sanz, Salvadora & Fiszmana, 2007).
Refining as a whole is the step in which particle size is reduced with the main purpose of making sugar, dairy
products and cocoa solids physically imperceptible in the mouth, thus not causing a gritty sensation. Moreover,
during the refining step, there is also homogenization of ingredients and coating of solid surfaces by the lipid
phase (Ziegler & Hogg, 2009). At this step, it is desirable to reduce the size of particles, mainly of sugar and
cocoa, to less than 0.03 mm (Beckett, Francesconi, Geary, Mackenzie & Maulny, 2006).
Conching, in turn, has as its main objectives: to remove moisture and undesirable flavors while developing
pleasant flavors. However, since the previous refining process will have created surfaces not yet covered with fat,
the conching phase coats these new surfaces and improves flow properties (Beckett, 1999).
It is due to the combined effect of mixing, grinding and recirculation that the surface of solid particles is covered
by fat, giving the paste its rheological properties (Petković, Pajin & Tomić, 2013; Cavela et al., 2020).
http://jfr.ccsenet.org Journal of Food Research Vol. 11, No. 2; 2022
70
Because, during these steps, the cocoa, milk and sugar solids are broken down, and the smaller the particle size,
the greater the surface area for coating by the lipid phase and, consequently, the greater the resistance to flow
(Talbolt, 2009). According to Beckett (2009), the lipid phase can be present in two forms in chocolate: as free fat
or as fat associated with solid particles. Free fat enables the particles to pass one another, that is, to move, and
thus the chocolate to flow. With increased free fat, the distance between the other solid particles increases and,
consequently, viscosity decreases.
Refining is usually performed in a five-roll refiner. Thus, there are four vertically aligned grinding rollers, while
one roller feeds them. However, in order to meet new requirements from chocolate producers, where compact
production plants are needed, new types of plants and equipment are under development (Beckett, 1999; Ziegler
& Hogg, 2009).
These new chocolate production systems are associated with advantages that boost growing popularity and
acceptance, such as time and energy efficiency, compactness (capability to combine multiple processing steps),
cost efficiency, and lower demand for highly-trained personnel (Hinneh, Walle, Tzompa-Sosa & Haeck, 2019).
Among the most common, there is the ball mill, which uses the relative movement of loose elements (balls) for
grinding. Normally, these consist of cylinders with a rotating shaft, being filled up to 90% of the volume with
grinding elements (such as steel balls, ceramic balls, among others), so grinding occurs by compression and
shear. In systems like this, temperature is controlled so as to ensure the melting of solid fats, avoiding excessive
heating of the product and executing the replacement action of traditional conching (Beckett, 1999; Ziegler &
Hogg, 2009).
Stone mills – called melangers – are also alternatives for producing small batches of chocolate, due to the
possibility of small production and low initial investment. These mills can also replace conches, but conches are
generally used at temperatures close to 80°C and initial refining is required, since the melanger lacks a
temperature control system and conching and refining are carried out in the same equipment (Vishwanathan,
Singh & Subramanian, 2011; Aidoo, Clercq, Afoakwa & Dewettinck,, 2014; Vreeland, 2015; Albak & Tekin,
2016; Tan & Balasubramanian, 2017; Bastos, Uekane, Bello, Rezende, Paschoalin & Del Aguila, 2019; Hinneh
et al., 2019).
Another system, the refining conche, is an option for the pre-milling, mixing, refining, and conching steps in a
single piece of equipment. This type of system enables temperature control, requires little space, and is efficient
with different particle sizes of ingredients such as sugar. This system is recommended even for formulations with
low fat content, which is possible due to a combination of good grinding performance with high-efficiency
product cooling (Duyvis Wiener, 2021; Jaf Inox, 2021).
When choosing equipment or even a refining/conching system, the characteristics of the equipment material,
maintenance, product specifications, yield, and the required particle size reduction ratio must be considered.
Thus, ideal equipment should have high material processing capacity in relation to power consumed in the
operation and output a product with adequate particle size distribution (Ziegler & Hogg, 2009; Mccabe, Smith &
Harriott, 2005).
Knowing particle size distribution and shape in chocolate is essential to understand the behavior of the mass,
such as flow properties, bulk density, bed porosity, and stability of emulsions. The surface area of these particles
depends on the size and shape of these particles, so they have a direct correlation with the sorption, dissolution,
and chemical reaction kinetics (Figura & Teixeira, 2007). Several studies have reported the relation between the
rheological properties of chocolate and its formulation, fat crystallization kinetics, and particle size (Servais,
Ranch & Roberts, 2004; Afoakwa, Paterson & Fowler, 2008c; Afoakwa, Paterson, Fowler & Vieira, 2008b,
2009b; Baldino, Gabriele & Migliori, 2010; De Graef, Depypere, Minnaert & Dewettinck, 2011; Efraim, Marson,
Jardim, Garcia & Yotsuynagi, 2011; Fernandes, Muller & Sandoval, 2013).
Therefore, the objective was to evaluate different technologies available for the refining and conching stage by
determining the physical, chemical, and sensory impacts on dark chocolate.
2. Methodology
2.1 Chocolate Processing
The chocolate samples were produced between November 2017 and April 2018 at the JAF INOX factory. Dark
chocolates were produced containing 65% cocoa mass (Harald Ind. e Com. Alimentos Ltda) and 35% sugar
(Mais Doce - Açucareira Boa Vista).
The ingredients were mixed in homogenizing conche for 5 min. Then, the obtained masses were submitted to six
http://jfr.ccsenet.org Journal of Food Research Vol. 11, No. 2; 2022
71
different systems to undergo the refining and conching steps, as described below:
System 1: double refining (2-roll pre-refiner and 5-roll cooled refiner) and conching in homogenizing
conche.
System 2: refining in ball mill and conching in homogenizing conche.
System 3: refining in ball mill and conching in Batch Liquid Conche (BLC) system.
System 4: refining and conching in the same equipment (refining conche) and at the same time.
System 5: refining and conching in the same equipment (stone mill – melanger) and at the same time.
System 6: Simple refining (single stage) in system with 5 cooled rolls and conching in homogenizing conche.
The processes in systems 1 to 5 employed coarse sugar (particle size ≤ 700 mm) and the process in system 6
employed fine sugar (particle size ≤ 150 mm).
The pieces of equipment used for refining and conching are described in Table 1.
Table 1. Chocolate refining and conching equipment
EQUIPMENT
BRAND/COUNTRY
Model/Capacity/Size
System that was used
2-roll refiner
JAF Inox (Brazil)
300 / 300 mm
System 1
5-roll refiner
JAF Inox (Brazil)
100 X 200 mm
Systems 1 and 6
Boiler
JAF Inox (Brazil)
20 L
Systems 2, 3 and 4
Cooler
Mecalor (Brazil)
RAI-5-220 / 3000 M/¹h
Systems 1, 2, 3 and 6
Homogenizing conche
JAF Inox (Brazil)
10 kg / 1 shaft
Systems 1, 2 and 6
Refining conche
JAF Inox / Duyvis
Wiener (Netherlands)
20 Kg
System 4
Qchoc (ball mill, mixer, and
Batch Liquid Conche – BLC)
Duyvis Wiener
(Netherlands)
50 to 400 kg / batch
Systems 2 and 3
Stone mill
Mecal (Brazil)
20 Kg
System 5
Source: Prepared by the author, 2021.
After refining and conching, the chocolates were sent to the School of Food Engineering at the State University
of Campinas - FEA/UNICAMP to undergo the other steps.
Tempering was carried out in a tempering machine (Dedy GmbH, Essen, Germany). Initially, the chocolate mass
was heated to 45°C and then cooled, under Top temper D 45134 constant movement, to 29 ± 1.0°C, at a rate of
2°C/min, remaining at this temperature for 15 min. Then, the mass was reheated to 31°C. To control the
tempering step, the tempering index was controlled by a ChocoMeter (Aasted-Mikroverk ApS Farum, Denmark),
and tempering index between 4.0 and 6.0 were considered adequate.
The dosage of chocolate was performed manually in polypropylene molds in the shape of rectangular bars. Then,
the molds were placed on a vibrating table (JAF Inox, Brazil) to eliminate air bubbles. Subsequently, the
chocolates were cooled in a refrigerated counter, demolded, packed in laminated packaging and stored in a
chamber (BOD TE-371, Tecnal, Brazil) at 20°C for the analyses described below.
2.2 Physicochemical Analyses
Maximum particle size was determined using a digital micrometer (Mitutoyo, Japan) with a scale of 0–25 mm.
Total titratable acidity and pH were determined by using a digital pH meter (Digimed DM-20, Brazil) by the
AOAC 31.1.07 and 942.15 methods, respectively (Association of Official Analytical Chemist [AOAC], 2016).
Moisture content was measured by the AOAC 970.20 gravimetric method (AOAC, 2016) with the aid of an oven
with air renewal and circulation (TE-394-2 Tecnal, Brazil) and an analytical scale (Mettler Toledo AB204,
Switzerland).
2.3 Particle Size Distribution
Particle size distribution in the chocolates was measured in the Instrumentation Laboratory (FEA/UNICAMP) in
a Mastersizer 2000 laser diffraction system with a Hydro 2000S dispersion unit (Malvern Instruments Limited,
United Kingdom), whose measurement range comprises particles from 0.02 to 2000 µm. Approximately 0.5 g of
each chocolate sample was dispersed in mineral oil. The analyses were carried out at room temperature in
triplicate. The analysis model selected was that of general use for irregular particles. Particle size distribution
was expressed in micrometers by the values of volumetric mean diameter D [4,3], median dv(0.5), and surface
weighted mean D [3,2]. We also evaluated the parameters dv(0.1) and dv(0.9), which represent the diameter
http://jfr.ccsenet.org Journal of Food Research Vol. 11, No. 2; 2022
72
values below which are located 10% and 90% of the cumulative distribution (in volume), respectively. The span
value was used as indicator of particle size distribution range. The analysis followed a methodology adapted
from Toker, Sagdic, Sener, Konar, Zorlucan and Daghoglu (2016) and Afoakwa, Paterson and Fowler (2008).
2.4 Rheological Properties
The rheological properties were analyzed at the Instrumentation Laboratory (FEA/UNICAMP) according to the
methodology of De Graef et al. (2011).
The measurements were performed on an AR2000 (ex) stress controlled rheometer (TA Instruments, Belgium).
Prior to analysis, the samples were melted in an oven at 40°C and transferred to DIN cup and bob geometry that
was adjusted to 40°C. There were two different rheological measurements: a stepped flow experiment to record
the flow curve and an oscillatory stress sweep test to determine the linear viscoelastic region (LVR). Each
rheological analysis was carried out in triplicate.
2.4.1 Flow Curve
After a 2-min conditioning step, the shear rate was increased from 0.1 s−1 to 100 s−1. The flow curve was then
obtained by plotting the recorded shear stress (Pa) as a function of the applied shear rate (1/s).
2.4.2 Stress Sweep Tests
Oscillatory measurements were performed at a frequency of 1 Hz. After a 2-min conditioning step, the chocolate
sample was subjected to oscillatory stress increasing from 0.01 Pa to 50 Pa. Rheograms were obtained by
plotting the complex modulus G* (Pa) as a function of oscillatory shear. The complex modulus can be defined as
the ratio of stress to the corresponding strain and is considered a measure of system rigidity. As the complex
modulus is a measure of system rigidity, it provides information on the microstructure of chocolates.
2.5 Sensory Analysis
The chocolates were evaluated by Acceptance Test with chocolate consumers at the Sensory Analysis Laboratory
(FEA/UNICAMP) following a randomized complete block design with 130 tasters with no age, sex and social
class restrictions (Moskowitz, 1983; Meilgaard, Civille & Carr, 1999).
The samples were identified using random numerical three-digit codes and presented sequentially in single
portions to the tasters in individual booths. The overall impression, aroma, flavor, hardness, melting, grittiness,
acidity, and color sensory attributes were evaluated using a 9-point hedonic scale.
The sensory analysis was registered with the research ethics committee with the CAAE number:
00802918.5.0000.5404.
2.6 Data Analysis
The data obtained in the analytical determinations and in the sensory evaluation were submitted to Analysis of
Variance (ANOVA) and the means were compared by Tukey Test, at 5% significance level, using statistical
package PAST® 3 (Hammer, Harper & Ryan, 2001).
3. Results and Discussion
3.1 Physicochemical Analyses
The results of the pH, total titratable acidity, and moisture determinations are described in Table 2.
Table 2. pH, total acidity, and moisture content of dark chocolates produced in different refining / conching
systems
Systems*
pH
Total acidity (g/100g)
Moisture content (g/100g)
1
5.29 ± 0.05 a
0.53 ± 0.03ab
0.86 ± 0.21b
2
5.40 ± 0.01 a
0.49 ± 0.03b
1.46 ± 0.17 a
3
5.09 ± 0.61 a
0.55 ± 0.03ab
0.89 ± 0.10b
4
5.22 ± 0.01 a
0.61 ± 0.03a
0.75 ± 0.05b
5
5.25 ± 0.03 a
0.51 ± 0.06ab
0.64 ± 0.11b
6
5.28 ± 0.02 a
0.61 ± 0.29a
0.63 ± 0.06b
Notes: Equal letters in the same column indicate that the samples did not differ statistically in the Tukey Test at 5%
significance.
*System 1: Double refining; System 2: Refining in ball mill; System 3: Refining in ball mill and BLC conching;
System 4: Refining and conching in refining conche; System 5: Refining and conching in stone mill – melanger;
System 6: Simple refining.
http://jfr.ccsenet.org Journal of Food Research Vol. 11, No. 2; 2022
73
Source: Prepared by the author, 2021.
Significant differences can be observed in the evaluations of total titratable acidity and moisture, especially for
System 2 (Ball mill / Homogenizing conche), with the lowest and highest values, respectively. Significant
differences were not found in the pH evaluation.
The values suggest that the use of the ball mill and the homogenizing conche can reduce the loss of water, with a
consequent increase in the moisture content. Thus, the presence of a greater amount of water can influence the
lower percentage of acids found.
3.2 Particle Size Distribution
The results obtained for particle size distribution are shown in Figure 1 and Table 3.
Figure 1. Particle size distribution in dark chocolates produced in different refining / conching systems
Note: System 1: Double refining; System 2: Refining in ball mill; System 3: Refining in ball mill and BLC
conching; System 4: Refining and conching in refining conche; System 5: Refining and conching in stone mill –
melanger; System 6: Simple refining.
Source: Prepared by the author, 2021.
Table 3. Maximum particle diameter (micrometer) and particle size distribution (laser diffraction) of dark
chocolates produced in different refining / conching systems
Systems*
Maximum particle size (mm)
Particle size distribution
D[4,3]¹
D[3,2]²
dv (0.5)³
dv(0.1)4
dv(0.9)5
Span6
1
0.019 ± 0.004bc
12.049
7.502
8.834
3.908
24.853
2.371
2
0.017 ± 0.003c
13.313
8.250
9.581
4.385
26.944
2.357
3
0.027 ± 0.002a
12.221
8.135
9.388
4.448
22.066
1.871
4
0.024 ± 0.004ab
12.990
8.358
9.951
4.365
26.200
2.194
5
0.024 ± 0.002ab
13.583
7.971
9.759
3.987
28.724
2.535
6
0.016 ± 0.002c
10.034
7.311
8.205
4.159
18.623
1.764
Notes: ¹Volumetric mean diameter. ²Surface weighted mean. ³Median. 4Diameter values below which are 10% of
the cumulative distribution (by volume). 5Diameter values below which are 90% of the cumulative distribution
(by volume). 6Particle size distribution range.
*System 1: Double refining; System 2: Refining in ball mill; System 3: Refining in ball mill and BLC conching;
System 4: Refining and conching in refining conche; System 5: Refining and conching in stone mill – melanger;
System 6: Simple refining.
Source: Prepared by the author, 2021.
http://jfr.ccsenet.org Journal of Food Research Vol. 11, No. 2; 2022
74
All samples showed values below 0.030 mm for maximum particle size. The lowest values were found for
samples produced in System 1 (2-roll and 5-roll refiner / Homogenizing conche), System 2 (Ball mill /
Homogenizing conche) and System 6 (5-roll refiner / Homogenizing conche). Maximum solid particle size
should preferably be less than 25 µm (or 0.025 mm) in order to ensure that the papillae do not perceive the
granulation of the particles. Values greater than 35 μm become gritty in the mouth, resulting in less acceptability.
However, solid particles should not be too small as they can make the paste viscous (Cavella, Miele, Fidaleo,
Borriello & Mais, 2020; Puleo, Miele, Cavella, Masi & Di Monaco, 2020).
The particle volumetric mean diameter (D[4,3]) in the samples presents higher values for Systems 2 and 5 (Ball
mill / Homogenizing conche and Stone mill). On the other hand, Systems 2 and 4 (Ball mill / Homogenizing
conche and Refining conche) present a higher surface weighted mean of the evaluated particles (D[3,2]).
The volume-based diameter (D[4,3]) is mainly determined by the presence of large particles, while the
area-based diameter (D[3,2]) also considers small particles. These small particles can also be important for
influencing physicochemical and textural characteristics, as they fill spaces between larger particles (Glicerina,
Balestra, Rosa, Bergenhstal, Tornberg & Romani, 2014; Bayod, 2008).
The median (dv (0.5)), which can be understood as the central value that separates the numerical set, that is, the
value in which half of the population is above and half below this point, presented higher values for System 5
(Stone Mill), which justifies this treatment being the second system with the lowest dv (0.1) – diameter values
below which are 10% of the cumulative particle distribution in volume – and the first with the highest diameter
value below which are 90% of the cumulative distribution in volume (dv (0.9)). Figure 1 shows that this sample
is the one with the flattest peak. According to Glicerina et al. (2014), this trend involves a large volume also
occupied by very small particles.
Evaluating the particle size distribution range (Span Index) enabled finding that System 6 (5-roll refiner /
Homogenizing conche) had the lowest value, in contrast to the samples from System 1 (2-roll and 5-roll refiners
/ Homogenizing conche) and System 5 (Stone mill).
System 6 presented the lowest values for volumetric mean diameter (D[4,3]), surface weighted mean (D[3,2]),
and median (dv (0.5)), diameter values below which are 90% of the cumulative distribution in volume (dv (0.9))
and the particle distribution range (Span Index). The only exception are the diameter values below which are 10%
of the cumulative distribution in volume (dv (0.1)), where this sample presents intermediate values. This
behavior can be seen in Figure 1, where the same sample is the first to reach the highest point and the highest
decline in relation to the peak. It should be noted that this sample was the only one that used sugar with smaller
particle size (fine sugar) in its formulation, since sugars with larger particle size (coarse sugar) were used for the
others.
System 6 also showed a unimodal trend in Figure 1, while the other samples showed bimodal trend. These
behaviors are similar to those found by Glicerina et al. (2014), who reported the influence of different stages on
the distribution, leading some systems to change from a bimodal to a unimodal trend.
The dv (0.9) is normally considered acceptable if below 23 µm , as it is believed that, above this size, particles
can produce an unpleasant gritty mouthfeel (Beckett, 1999; 1994). The present study showed values ranging
between 18.623 and 28.724 µm , which indicates some points as inadequate. However, the results are similar to
those found in a study conducted by Alamprese, Datei and Semerado (2007), in which the values also ranged
between 14.5 and 28.5 µm .
Particle size evaluation by light scattering consists in a monochromatic laser beam that is directed to the particles,
undergoing scattering caused by diffraction, reflection or refraction. The angle formed by the scattering depends
on the size and shape of these particles (Figura & Teixeira, 2007). These techniques provide a weighted
distribution, as the contribution of each particle present is related to the intensity of the light that was scattered
by the particle.
Therefore, it was found that System 6 (5-roll refiner / homogenizing conche) presents the lowest variation in
particle size, making it a more homogeneous process in relation to the other evaluated systems. On the other
hand, Systems 2 and 3 (Ball mill/BLC and Ball mill/Homogenizing conche) and System 5 (Stone Mill) showed
the greatest variation in particle diameter.
A study conducted by Henneh et al. (2019), which compared refining systems that employed stone mill
(melanger) and conventional 3-roll refiner, also observed significant changes in parameters related to particle
size distribution. According to the authors, these changes imply a significant impact of the type of
equipment/system on the final chocolate particle size.
http://jfr.ccsenet.org Journal of Food Research Vol. 11, No. 2; 2022
75
3.3 Rheological Properties
Viscosity is extremely important in the production of chocolates because it impacts the production cost, as the
efficiency in mixing, pumping and mold filling is directly affected by flow characteristics (Afoakwa, Paterson &
Fowler, 2008c).
Particle size distribution is also fundamental in the flow characteristics of chocolate mass. In the refining process,
particles such as sugar and cocoa solids are broken up consecutively, and the smaller they become, new surfaces
appear and are covered by fats and emulsifiers (lipid phase) and the greater the resistance of the mass to flow
(Talbot, 2009).
According to the International Office of Cocoa, Chocolate and Sugar Confectionery (IOCCC), it is
recommended the use of BOB geometry or Cup (such as DIN cup) in rotation to evaluate the viscosity of cocoa
and chocolate-based masses. These methodologies have been widely studied and accepted (Chevalley, 1975,
1991, and 1994; Bouzas & Brown, 1995; IOCCC, 2000).
The rheological characteristics of Flow Curve and Stress Sweep of the evaluated samples are shown in Figures 2
and 3.
The curvature of the line seen in Figure 2 between shear rate and stress had a similar behavior for all analyzed
samples, which indicates a shear dilution behavior similar to that reported by Toker et al. (2016). This shear
dilution behavior may result from structural breakage and molecule alignment due to the shear rate applied
during the analyses. Thus, the shear rate level applied during a process (or even post-process such as molding
and packaging) must be carefully selected in order to maintain the structural quality of the products (Toker et al.,
2016; Izidoro, Scheer, Sierakowski, & Haminiuk, 2008; Fernandes, Müller & Sandoval, 2013).
Systems 2, 3, and 5 (Ball mill / BLC; Ball mill / Homogenizing conche; and Stone mill) showed the highest
shear stress (Pa). On the other hand, Systems 1 and 6, which combined the refiner with homogenizing conche
(2-roll and 5-roll refiners / Homogenizing conche and 5-roll refiner / Homogenizing conche) showed the lowest
shear stress (Pa).
According to Afoakwa, Paterson, Fowler and Vieira (2008a), dv (0.9) is important in the grittiness and textural
properties of chocolate. It is observed that System 5 (Stone mill) with the highest value of (dv (0.9)) (Table 3)
also presents the highest shear stress (Figure 2).
Figure 2. Flow curve obtained in analysis of rheological properties of dark chocolates produced in different
refining / conching systems
Note: System 1: Double refining; System 2: Refining in ball mill; System 3: Refining in ball mill and BLC
conching; System 4: Refining and conching in refining conche; System 5: Refining and conching in stone mill –
melanger; System 6: Simple refining.
Source: Prepared by the author, 2021.
http://jfr.ccsenet.org Journal of Food Research Vol. 11, No. 2; 2022
76
Usually, materials that possess shear stress are considered multiphase systems. For example, chocolate, which is
a suspension of sugar and cocoa solids dispersed in cocoa butter. With the condition of mutual attraction, the
particles interact and form flakes, which, in turn, interact to create a continuous three-dimensional network,
which can prevent flow at low stress. The initial shear stress is associated with the transition between
solid-elastic and liquid-viscous behaviors; however, this transition occurs in a stress range, in which the material
exhibits viscous and elastic properties. A suspension only flows when the stress is sufficient to break the
structure (Wilson, Speers & Tung, 1993; Liddell & Borger, 1996).
In the stress sweep test (Figure 3), similar behaviors can be observed because higher complex modulus (Pa)
values are observed in the samples generated by Systems 3 (Ball mill/BLC) and 5 (Stone mill), in contrast with
System 1 (2-roll and 5-roll refiners / Homogenizing conche), which presented lower values. The figure shows
clearly that the refining system influences the curves of the complex modulus.
As the complex modulus is a measure of system rigidity, that is, a measure of the total resistance of a sample to
deformation, it is observed that the structure of the chocolates produced by System 1 (2-roll and 5-roll refiners /
Homogenizing conche) presents lower resistance to deformation. Systems like this also lead to reduced linear
viscoelastic region (LVR), that is, the stress range within which the structure does not break.
Figure 3. Stress sweep obtained in analysis of rheological properties of dark chocolates produced in different
refining / conching systems
Note: System 1: Double refining; System 2: Refining in ball mill; System 3: Refining in ball mill and BLC
conching; System 4: Refining and conching in refining conche; System 5: Refining and conching in stone mill –
melanger; System 6: Simple refining.
Source: Prepared by the author, 2021.
http://jfr.ccsenet.org Journal of Food Research Vol. 11, No. 2; 2022
77
By correlation with the results for particle size distribution (Figure 1 and Table 3), it is observed that System 1
(2-roll and 5-roll refiners / Homogenizing conche) and System 6 (5-roll refiner / Homogenizing conche)
produced samples with lower viscosity, even not being the samples with higher values for dv (0.9). However, the
chocolate produced in System 6 presented higher values for D[3,2] and dv (0.5), which suggests a strong
correlation between these parameters and the decreased viscosity in the chocolates.
On the other hand, the samples produced in Systems 2 and 3 (Ball mill / Homogenizing conche and Ball mill /
BLC) and System 5 (Stone mill) presented the highest values for D[4,3], dv (0.1) and dv (0.9), in addition to the
highest values for shear stress (Pa) and complex modulus (Pa), which was already expected, since particle size
distribution (in addition to the composition of ingredients) influences the rheological properties of chocolates,
also affecting the final texture and melting profile, as already widely reported in the literature (Beckett, 2009;
Glicerina, Balestra, Rosa & Romani, 2013; Toker et al., 2016). The basic ingredients of the chocolate
formulation measure about 1 mm in diameter; however, particles larger than 0.03 mm result in the characteristic
of a gritty chocolate. On the other hand, in the refining process, very fine particles can also be formed (less than
0.005 mm in diameter), but these particles also need to be coated with fat in order to flow, which means that if
more fat is not added in the process, the chocolate becomes highly viscous and tends to melt in the mouth less
easily.
Other studies, such as that conducted by Afoakwa, Paterson and Fowler (2008c), report that chocolate mass with
25% fat and 0.3% lecithin, which had particles of D90 equal to 50 m (90% of the total and particles with
diameter below 50 m), had the viscosity doubled when the particles were reduced to 18 m. The effect is due to
greater dispersion of solids, causing a separation of particles, and less contact between solid particles.
Another study with a model system with different amounts of fats equivalent to cocoa butter and with mixtures
of sugars of different particle sizes demonstrated that apparent viscosity at 40°C decreases with increasing
particle size in samples with more than 25% fat. Moreover, in samples with 22% fat, apparent viscosity
decreased as the amount of larger particles increased (Do, Hargreaves, Wolf, Hort & Mitchell, 2007).
In fact, numerous studies have shown differences in rheological characteristics and mechanical strength as to
chocolates. However, other studies also note that some characteristics of chocolates may not show a significant
correlation with particle size distribution (Afoakwa, Paterson & Fowler, 2007b; Do et al., 2007; Afoakwa et al.,
2008a; Afoakwa, Paterson, Fowler & Vieira, 2009a; Bolenz, Holm & Langskrär, 2014).
This reinforces the fact that dark chocolate has a complex rheological behavior, that is, it shows a flow stress
(minimum amount of energy to start the flow) and a plastic viscosity (energy to keep the fluid in motion) that is
very dependent on the manufacturing process (Bourne, 2002; Servais, Ranch & Roberts, 2004; Afoakwa,
Paterson & Fowler, 2008c).
3.4 Sensory Analysis
The results of the sensory evaluation of chocolates subjected to different refining and conching methods are
shown in Table 4.
The aroma, hardness, melting, and color attributes were not influenced by the refining/conching system used.
We observed higher scores for the “overall impression” attribute for samples produced in System 6 (5-roll refiner
/ Homogenizing conche), System 3 (Ball mill/BLC), and System 4 (Ball mill / Homogenizing conche).
In the evaluation of flavor, in addition to the three samples above, System 1 (2-roll and 5-rolls refiners /
Homogenizing conche) also did not show statistical differences from those best evaluated. These values
demonstrate changes in the sensory evaluation in relation to the different refining systems, even though they do
not show a direct correlation with particle size distribution and rheology.
Glicerina et al. (2014) note that dark chocolate – due to being a complete matrix – is a product whose entire
appearance depends strictly on the process steps, especially those related to particle size distribution.
Afokwa et al. (2009b) states that, in sensory evaluations, aroma release can also be affected by particle size
distribution, as most of the identified aromatic components can increase with decreasing particle size.
Rheological changes can affect mouthfeel and flavor, because the time solid chocolate particles take to reach
sensory receptors depends on chocolate viscosity (Beckett, 2001). Melting in the mouth is determined by the
characteristics of the fat phase, which influence the characteristic flavor and textural attributes of chocolates. The
intensity of flavor can change systematically as chocolate is melted, manipulated and mixed with saliva for
swallowing (Beckett, 1999).
The evaluation of grittiness only showed a significant difference for System 5 (Stone mill), which did not differ
http://jfr.ccsenet.org Journal of Food Research Vol. 11, No. 2; 2022
78
from System 3 (Ball mill/BLC), but differed statistically from the other samples. These two samples, together
with System 4 (Refining conche) showed the highest maximum particle sizes, as shown in Table 2.
As for the acidity attribute, System 4 (Refining conche) presented the worst results evaluated. On the other hand,
the other samples did not differ statistically from one another, but with the main emphasis on Systems 2 and 3
(Ball mill / Homogenizing conche and Ball mill/BLC). These last two samples also showed lower value for total
titratable acidity, differing statistically from the first sample, as shown in Table 2.
Table 4. Mean scores assigned by the evaluators in the sensory analysis of dark chocolates produced in different
refining/conching systems
Attributes
Mean sensory scores / Systems*
F **
1
2
3
4
5
6
Overall Impression
6.84b
7.41a
7.08ab
6.57b
6.54b
6.99ab
5.59
Aroma
6.95a
7.10a
7.20a
6.84a
6.97a
6.95a
1
Flavor
6.59abc
7.20a
6.96ab
6.02c
6.31bc
6.64abc
6.74
Hardness
7.28a
7.02a
7.06a
7.16a
6.88a
7.20a
1.01
Melting
7.26a
7.26a
7.03a
7.08a
6.82a
7.16a
1.40
Grittiness
7.16a
7.34a
6.95ab
7.05a
6.4b
7.25a
5.23
Acidity
5.89ab
6.42a
6.49a
5.66b
5.81ab
5.85ab
4.09
Color
7.78a
8.09a
7.88a
7.80a
7.68a
7.98a
1.62
Note: Equal letters in the same row indicate that the samples did not differ statistically in the Tukey Test at 5%
significance.
*System 1: Double refining; System 2: Refining in ball mill; System 3: Refining in ball mill and BLC conching;
System 4: Refining and conching in refining conche; System 5: Refining and conching in stone mill – melanger;
System 6: Simple refining.
Source: Prepared by the author, 2021.
Overall, there is greater acceptance of System 2 (Ball mill / Homogenizing conche) in all aspects evaluated,
since the sample differs statistically from the others with the highest scores, or at least in the best-evaluated
group. This system also has the highest values for D[4,3], dv (0.1), and dv (0.9) in particle size distribution; in
rheology, it has the highest values for shear stress (Pa) and complex modulus (Pa). Apparently, the value of
humidity above the other treatments, does not provoke undesirable alterations in the mentioned parameters.
Ziegler, Mongia and Hollender (2001) observed that particle size and rheology significantly influenced melting
time and sweetness of milk chocolate samples through the methodology of time and intensity.
The development of new chocolate-based products requires care as to their texture and melting profile, according
to current knowledge on particle size distribution and ingredient composition. Because, even though textural
perception is a dynamic oral process, individuals also perceive texture by means of vision, touch and hearing.
Furthermore, chocolate consumers have well-formed opinions and expectations regarding the appropriate texture
and melting characteristics (Wilkinson, Dijksterhuis & Minekus, 2000; Bourne, 2002; Varela, Salvador &
Fiszman, 2007).
4. Conclusions
The evaluated refining systems did not lead to significant changes in the evaluated pH. On the other hand, total
titratable acidity and moisture underwent changes only in System 2 (Ball mill/Homogenizing conche) with the
lowest and highest values, respectively. The samples whose refining was combined with homogenizing conche
(Systems 1, 2, and 6) also showed the smallest maximum particle size.
We observed considerable difference in particle size distribution by refining systems, and System 6 (5-roll
refiner / Homogenizing conche) showed the lowest variation, that is, a more homogeneous process. This same
system, with System 1 (Double refiner (2 and 5 rolls) / Homogenizing conche) also presented the lowest shear
stress (Pa). This last one also showed the lowest value for complex modulus (Pa), which indicates a weakened
sample with reduced linear viscoelastic region (LVR), which may be characteristic of refining systems with
cooled rollers.
On the other hand, Systems 2 and 3 (Ball mill / Homogenizing conche and Ball mill/BLC) and System 5 (Stone
mill) were more heterogeneous for particle size distribution. These samples also showed the highest shear stress
(Pa) values in the rheological evaluation. In turn, we verified in the evaluation of complex modulus that two of
http://jfr.ccsenet.org Journal of Food Research Vol. 11, No. 2; 2022
79
the mentioned samples – Systems 3 and 5 (Ball mill/BLC and Stone Mill) – also presented the highest values
found. While System 6 (5-roll refiner / Homogenizing conche) was the most homogeneous.
Sensory evaluation showed no significant differences for the refining systems as to the aroma, hardness, melting,
and color attributes. In general, the worst results for overall impression and flavor attribute were observed for
samples produced by Systems 4 and 5 (Refining conche and Stone mill). Moreover, System 4 (Refining conche)
presented the worst results for the grittiness and acidity attributes.
Overall, Systems 1, 2, and 6 – which combine refining systems with homogenizing conche – proved favorable
for obtaining chocolates with greater fluidity and better results in sensory evaluation.
References
Afoakwa, E. O., Paterson, A., & Fowler, M. (2007b). Factors influencing rheological and textural qualities in
chocolate - a review. Trends in Food Science & Technology, 18(6), 290-298.
https://doi.org/10.1016/j.tifs.2007.02.002
Afoakwa, E. O., Paterson, A., & Fowler, M. (2008c). Effects of particle size distribution and composition on
rheological properties of dark chocolate. European Food Research and Technology, 227, 1259-1268.
https://doi.org/10.1007/s00217-007-0652-6
Afoakwa, E. O., Paterson, A., Fowler, M., & Veira, J. (2008b) Characterization of melting properties in dark
chocolate from varying particle size distribution and composition using differential scanning calorimetry.
Food Research International, 41, 751-757. https://doi.org/10.1016/j.foodres.2008.05.009
Afoakwa, E. O., Paterson, A., Fowler, M., & Vieira, J. (2008a). Modelling tempering behaviour of dark
chocolates from varying particle size distribution and fat content using response surface methodology.
Innovative Food Science & Emerging Technologies, 9(4), 527-533.
https://doi.org/10.1016/j.ifset.2008.02.002
Afoakwa, E. O., Paterson, A., Fowler, M., & Vieira, J. (2009a). Comparison of rheological models for
determining dark chocolate viscosity. International Journal of Food Science and Technology, 44, 162-167.
https://doi.org/10.1111/j.1365-2621.2008.01710.x
Afoakwa, E. O., Paterson, A., Fowler, M., & Vieira, J. (2009b). Influence of tempering and fat crystallization
behaviours on microstructural and melting properties in dark chocolate systems. Food Research
International, 42, 200-209. https://doi.org/10.1016/j.foodres.2008.10.007
Aidoo, R. P., Clercq, N. D., Afoakwa, E. O., & Dewettinck, K. (2014). Optimisation of processing conditions
and rheological properties using stephan mixer as conche in small-scale chocolate processing. Institute of
Food Science Technology, 49, 740-746. https://doi.org/10.1111/ijfs.12360
Alamprese C., Datei, L., & Semeraro, Q. (2007). Optimization of processing parameters of a ball mill refiner for
chocolate. Journal of Food Engineering, 83, 629-636. https://doi.org/10.1016/j.jfoodeng.2007.04.014
Albak, F., & Tekin, A. R. (2016). Variation of total aroma and polyphenol content of dark chocolate during three
phase of conching. Journal Food Science and Technology, 53, 848-855.
https.//doi.org/10.1007/s13197-015-2036-4.
AOAC - Association of Official Analytical Chemists. (2016). Official Methods of analysis of AOAC
International (20 ed.). Washington: AOAC.
Baixauli, R., Sanz, T., Salvadora, A., & Fiszmana, S. M. (2007). Influence of the dosing process on the
rheological and microstructural properties of a bakery product. Food Hydrocolloids, 6, 21-230.
https://doi.org/10.1016/j.foodhyd.2006.03.014
Baldino, N., Gabriele, D., & Migliori, M. (2010). The influence of formulation and cooling rate on the
rheological properties of chocolate. Food Research and Technology, 231, 821.
https://doi.org/10.1007/s00217-010-1334-3
Bastos, V. S., Uekane, T. M., Bello, N. A., Rezende, C. M., Paschoalin, V. M. F., & Del Aguila, E. M. (2019).
Dynamics of volatile compounds in TSH 565 cocoa clone fermentation and their role on chocolate flavor in
Southeast Brazil. Journal Food Science and Technology, 56, 2874-2887.
https://doi.org/10.1007/s13197-019-03736-3
Bayod, E. (2008). Microstructural and rheological properties of concentrated tomato suspensions during
processing. [Doctoral thesis]. Division of Food Engineering, Department of Food Technology, Engineering
and Nutrition, Lund University - Sweden.
http://jfr.ccsenet.org Journal of Food Research Vol. 11, No. 2; 2022
80
Beckett, S. (2009). Chocolate manufacture. In G. Talbot (Ed.), Science and technology of enrobed and filled
chocolate, confectionery and bakery products (pp. 11-28). Boca Raton: CRC Press.
https://doi.org/10.1533/9781845696436.1.11
Beckett, S. T. (1994). Control of particle size reduction during chocolate grinding. The Manufacturing
Confectioner, 74(5), 90-97.
Beckett, S. T. (1999). Industrial chocolate manufacture and use (3rd ed.). Blackwell Science, Oxford. pp.
153-181, 201-230, 405-428, 460-465.
Beckett, S. T. (2001). The science of chocolate. Cambridge, United Kingdom: The Royal Society of Chemistry
(Chapter 6 and 7).
Beckett, S. T., Francesconi, M. G., Geary, P. M., Mackenzie, G., & Maulny, A. P. E. (2006). DSC study of
sucrose melting. Carbohydrate Research, 341, 2591-2599. https://doi.org/10.1016/j.carres.2006.07.004
Bolenz, S., Holm, M., & Langkrär, C. (2014). Improving particle size distribution and flow properties of milk
chocolate produced by ball mill and blending. European Food Research and Technology, 238(1), 139-147.
https://doi.org/10.1007/s00217-013-2094-7
Bourne, M. (2002). Food Texture and Viscosity: Concepts and Measurements. Academic Press, San Diego. pp.
102-134. https://doi.org/10.1016/C2009-0-03042-6
Bouzas, J., & Brown, B. D. (1995). Interactions affecting microstructure, texture and rheology of chocolate
confectionery products. In A. G. Gaonkar (Ed.), Ingredient Interactions: Effects on Food Quality (pp.
451-528). Marcel Dekker, Basel. https://doi.org/10.1201/9781420028133.ch13
Cavella, S., Miele, N. A., Fidaleo, M., Borriello, A., & Mais, P. (2020). Evolution of particle size distribution,
flow behaviour and stability during mill ball refining of a white chocolate flavouring paste. LWT - Food
Science and Technology, 132. https://doi.org/10.1016/j.lwt.2020.109910
Chevalley, J. (1975). Rheology of chocolate. Journal Texture Studies, 6, 177-196.
https://doi.org/10.1111/j.1745-4603.1975.tb01247.x
Chevalley, J. (1991). An adaptation of the Casson equation for the rheology of chocolate. Journal Texture Studies,
22, 219-229. https://doi.org/10.1111/J.1745-4603.1991.TB00015.X
Chevalley, J. (1994). Chocolate flow properties. In S. Beckett (Ed.), Zndustrial Chocolate Manufacture and Use
(pp. 139-155). Blackwell Science, London. https://doi.org/10.1007/978-1-4615-2111-2_10
De Graef, V., Depypere, F., Minnaert, M., & Dewettinck, K. (2011). Chocolate yield stress as measured by
oscillatory rheology. Food Research International, 44, 2660-2665.
https://doi.org/10.1016/j.foodres.2011.05.009
Do, T. A. L., Hargreaves, J. M., Wolf, B., Hort, J., & Mitchell, J. R. (2007). Impact of particle size distribution on
rheological and textural properties of chocolate models with reduced fat content. Journal of Food Science,
72(9), 541-552. https://doi.org/10.1111/j.1750-3841.2007.00572.x
Duyvis Wiener. (2021). Refine conche. Retrieved from https://duyviswiener.com/product/refiner-conche
Efraim, P., Marson, G., Jardim, D. C. P., Garcia, A. O., & Yotsuynagi, K. (2011). Influence of phytosterols
addition in the rheology and sensory attributes of dark chocolate. Procedia Food Science, 1, 1633-1637.
https://doi.org/10.1016/j.profoo.2011.09.241
Fernandes, V. A., Müller, A. J., & Sandoval, A. J. (2013). Thermal, structural and rheological characteristics of
dark chocolate with different compositions. Journal of Food Engineering, 116, 97-108.
https://doi.org/10.1016/j.jfoodeng.2012.12.002
Figura, L. O., & Teixeira, A. A. (2007). Food Physics (1st ed.). Berlin: Springer.
Glicerina, V., Balestra, F., Rosa, M. D., & Romani, S. (2013). Rheological, textural and calorimetric
modifications of dark chocolate during process. Journal of Food Engineering, 119, 173-179.
https://doi.org/10.1016/j.jfoodeng.2013.05.012
Glicerina, V., Balestra, F., Rosa, M. D., Bergenhstal, B., Tornberg, E., & Romani, S. (2014). The Influence of
Different Processing Stages on Particle Size, Microstructure, and Appearance of Dark Chocolate. Journal of
Food Science, 79(7), 1359-1365. https://doi.org/10.1111/1750-3841.12508
Hammer, Ø., Harper, D. A. T., & Ryan, P. D. (2001). PAST: Paleontological statistics software package for
education and data analysis. Palaeontologia Electronica, 4. Retrieved from
http://jfr.ccsenet.org Journal of Food Research Vol. 11, No. 2; 2022
81
http://palaeo-electronica.org/2001_1/past/issue1_01.htm
Hinneh, M., Walle, D. V., Tzompa-Sosa, D. A., & Haeck, J. (2019). Comparing flavor profiles of dark chocolates
refined with melanger and conched with Stephan mixer in various alternative chocolate production
techniques. European Food Research and Technology, 245(9). https://doi.org/10.1007/s00217-018-3221-2
Hinneh, M., Wallea, D. V., Haeck, J., Abotsi, E. E., Winne, A., Saputro, A. D., Messens, K., Durme, J. V.,
Afoakwa, E. O., Cooman, L., & Dewettinck, K. (2019). Applicability of the melanger for chocolate refining
and Stephan mixer for conching as small-scale alternative chocolate production techniques. Journal of Food
Engineering, 253, 59-71. https://doi.org/10.1016/j.jfoodeng.2019.02.016
International Office of Cocoa, Chocolate and Sugar Confectionery - IOCCC. (2000). Working group on the
rheology of cocoa products, Aeschlimann, J-M. and S.T. Beckett, International inter-laboratory trials to
determine the factors affecting the measurement of chocolate viscosity. Journal Texture Studies, 31(5),
541-576. https://doi.org/10.1111/j.1745-4603.2000.tb01019.x
Izidoro, D. R., Scheer, A. P., Sierakowski, M. R., & Haminiuk, C. W. I. (2008). Influence of green banana pulp
on the rheological behaviour and chemical characteristics of emulsions (mayonnaises). LWT - Food Science
and Technology, 41, 1018-1028. https://doi.org/10.1016/j.lwt.2007.07.009
Jaf Inox. (2021). Refine conche. Retrieved from https://jafinox-rdw.com/product/refiner-conche
Liddell, P. V., & Borger, D. V. (1996). Yield stress measurements with the vane. Journal of Non-Newtonian Fluid
Mechanics, 63, 235-261. https://doi.org/10.1016/0377-0257(95)01421-7
Mccabe, W. L., Smith, J. C., & Harriott, P. (2005). Unit Operations of Chemical Engineering (7th ed.). New
York: McGraw-Hill. https://doi.org/10.1021/ed034pA133
Meilgaard, M., Civille, G. V., & Carr, B. T. (1999). Sensory Evaluation Techniques (3rd ed.). CRC Press, Inc.,
Boca Raton, FL. pp. 387. https://doi.org/10.1201/b16452
Moskowitz, H. R. (1983). Product testing and sensory evaluation of foods - Marketing and R&D approach. Food
& Nutrition Press. pp. 605.
Muller-Fischer, N., & Windhab, E. J. (2005). Influence of process parameters on microstructure of food foam
whipped in a rotor-stator device within a wide static pressure range. Colloids Surf A., 62, 263-353.
https://doi.org/10.1016/j.colsurfa.2004.12.057
Petković, M., Pajin, B., & Tomić, J. (2013) Effects of temperature and mixer speed rotation on rheological
properties of spreads with maltitol. Journal of Food Process Engineering, 36(5), 634-644.
https://doi.org/10.1111/jfpe.12027
Puleo, S., Miele, N. A., Cavella, S., Masi, P., & Di Monaco, R. (2020). How sensory sensitivity to graininess
could be measured. Journal of Texture Studies, 51(2), 242-251. https://doi.org/10.1111/jtxs.12487
Servais, C., Ranch, H., & Roberts, I. (2004). Determination of chocolate viscosity. Journal of Texture Studies, 34,
467-497. https://doi.org/10.1111/j.1745-4603.2003.tb01077.x
Talbot, G. (2009). Chocolate Temper. In S. T. Beckett (Ed.), Industrial Chocolate Manufacture and Use (pp.
261-275). Chichester: Wiley-BlackWell. https://doi.org/10.1002/9781444301588
Tan, J., & Balasubramanian, B. M. (2017). Particle size measurements and scanning electron microscopy (SEM)
of cocoa particles refined/conched by conical and cylindrical roller stone melangers. Journal of Food
Engineering, 212, 146-153. https://doi.org/10.1016/J.JFOODENG.2017.05.033
Toker, O. S., Sagdic, O., Sener, D., Konar, N., Zorlucan, T., & Daghoglu, O. (2016). The influence of particle
size on some physicochemical, rheological and melting properties and volatile compound profile of
compound chocolate and cocolin samples. European Food Research and Technology, 242, 1253-1266.
https://doi.org/10.1007/s00217-015-2629-1
Varela, P., Salvador, A., & Fiszman, S. (2007). Changes in apple tissue with storage time: Rheological, textural
and microstructural analyses. Journal of Food Engineering, 78, 622-629.
https://doi.org/10.1016/j.jfoodeng.2005.10.034
Vishwanathan, K. H., Singh, V., & Subramanian, R. (2011). Wet grinding characteristics of soybean for soymilk
extraction. Journal of Food Engineering, 106, 28-34. https://doi.org/10.1016/j.jfoodeng.2011.04.002
Vreeland, C. (2015). ‘Micro-batching’ grows up. Candy Industry. pp. 31-36.
Wilkinson, C., Dijksterhuis, G. B., & Minekus, M. (2000). From food structure to texture. Trends in Food
http://jfr.ccsenet.org Journal of Food Research Vol. 11, No. 2; 2022
82
Science & Technology, 11, 442-450. https://doi.org/10.1016/S0924-2244(01)00033-4
Wilson, L. L., Speers, R. A., & Tung, M. A. (1993). Yield stresses in molten chocolates. Journal of Texture
Studies, 24(3), 269-286. https://doi.org/10.1111/j.1745-4603.1993.tb01284.x
Ziegler, G. R., Mongia, G., & Hollender, R. (2001). Role of particle size distribution of suspended solids in
defining the sensory properties of milk chocolate. International Journal of Food Properties, 4, 353-370.
https://doi.org/10.1081/JFP-100105199
Ziegler, R., & Hogg, G. R. (2009). Particle size reduction. In S. T. Beckett (Ed.), Industrial Chocolate
Manufacture and Use (pp. 142-168). Oxford, UK: Wiley-Blackwell.
https://doi.org/10.1002/9781444301588
Copyrights
Copyright for this article is retained by the author(s), with first publication rights granted to the journal.
This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution
license (http://creativecommons.org/licenses/by/4.0/).
Available via license: CC BY 4.0
Content may be subject to copyright.