Research Article
Open Access
Optimization of Spray Drying Parameters for Broken Rice Maltodextrin Powder and its Microencapsulation Efficiency Study on VCO Microcapsule
Zahiah Mohamed Amin1, Soo Peng Koh*2, Nur Syazwani Abdul Hamid2, Chin Ping Tan1
1Department of Food Technology, Faculty of Food Science and Technology, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
2Biotechnology & Nanotechnology Research Center, Malaysian Agricultural Research & Development Institute (MARDI) Headquarters, Persiaran MARDI-UPM, 43400 Serdang, Selangor, Malaysia
*Corresponding author: Soo Peng Koh, Biotechnology & Nanotechnology Research Center, Malaysian Agricultural Research & Development Institute (MARDI) Headquarters, Persiaran MARDI-UPM, 43400 Serdang, Selangor, Malaysia, E-mail:
@
Received: February 13, 2018; Accepted: March 2, 2018; Published: April 10, 2018
Citation:Peng Koh S, Mohamed Amin Z, et al. (2018) Optimization of Spray Drying Parameters for Broken Rice Maltodextrin Powder and its Microencapsulation Efficiency Study on VCO Microcapsule. J Nutrition Health Food Sci 6(2): 1-8. DOI:
10.15226/jnhfs.2018.001126
Abstract
Maltodextrins that contain both simple sugars and polymers of saccharides are widely used in food and pharmaceutical applications as coating agent. To date, there is lack of information of maltodextrin made from Broken Rice (RB), a by-product from rice milling process. Our aim of this study was to produce the high quality of RB maltodextrin powder to be used in the food and pharmaceutical industries and its efficacy as a microencapsulating agent was determined. A RSM comprising a five-level, three-factorial, Central Composite Rotatable Design (CCRD) were used to determine the spray dryer operating parameters to obtain the optimal yield of RB maltodextrin powder. Through RSM-based optimization and verification modeling, the optimal operating parameters of the spray dryer were identified, resulting in a maximal rate of recovery of maltodextrin powder (92.71% ± 3.67) that was closer to the predicted value (94.07%). In the microencapsulation study, Virgin Coconut Oil (VCO) was used as the active ingredient. RB maltodextrins with a DE value of 10-14 exhibited a significantly higher (P < 0.01) Microencapsulation Efficiency (MEE) value (94.39%) and smaller particle size (13.38 μm) than the commercial (COM) maltodextrin (81.15%) with a particle size of 13.44 μm. The RB maltodextrin was compatible with the COM maltodextrin (control), which was further proven by the microstructure of the capsules viewed under a Scanning Electron Microscope (SEM).
Keywords: Broken Rice, Maltodextrin, Spray Drying, Response Surface, Microencapsulation Efficiency
Introduction
Starch is a basis of our food and industrial economy. Although starch is mainly used as food, it can be readily converted chemically and biologically into many useful and diverse products, such as paper, textiles, adhesives, beverages, confectioneries, pharmaceuticals and plastics [1]. Maltodextrin [(C6H10O5)n.H2O] is a non-sweet compound, consisting of a mixture of saccharides with a molecular-weight between that of polysaccharides and oligosaccharides with a Dextrose Equivalent (DE) value less than 20, which exists as a white powder [2]. Maltodextrins with different molecular-weights can be produced from starch through either enzymatic modification using α-amylase or acid hydrolysis [3]. The DE is a measure of the reducing sugar power of starch, expressed as the percentage of D-glucose in the dry-matter starch hydrolysate. The DE value is the inverse of the average Degree of Polymerization (DP) of anhydrous glucose units [4]. The main sources of commercially available maltodextrin are produced using potato, wheat, waxy corn and tapioca starch [5]. Maltodextrins are widely used in food and pharmaceutical applications. These applications include as a coating agent for microencapsulation in the preparation of agarose microgels for food composites in wound healing as mimetic of edible vegetable fat and in low-calorie food stuffs [6 -10].
The main objective of this study was to produce the highest yield of RB maltodextrin powder using Response Surface Methodology (RSM) to optimize the parameters of the spray drying process. RSM is a valuable technique in multifactorial experiments because it is less time consuming than experimental methods and can be used to identify the truly optimal values of the factors [11]. In this study, a five-level, three-factorial, Central Composite Rotatable Design (CCRD) was used to evaluate the interactive effects amongst the three factors, which were the inlet temperature, the feed flow and the aspirator rate. Additionally, the optimization verification model was used to determine the conditions for the maximal recovery of maltodextrin powder.
VCO is well known for its high value functional oil that has received public attention due to its nutraceutical benefits. Compared with other edible oils, VCO has unique characteristics, such as crystal clarity, a pleasant odor, high resistance to rancidity, a narrow range of melting temperature, easy digestibility and absorbability [12]. However, one of the natural characteristics of VCO is that it solidifies at a temperature below 24°C, which makes it difficult to consume and store, particularly in cold countries. Therefore, the development of microencapsulated VCO using a spray drying technique would solve this problem without changing the condition or quality of the oil. Thus, the second objective of this study is to study the microencapsulating effects of RB maltodextrin powder as a wall material within a Virgin
Coconut Oil (VCO) model system for future food applications.
Materials and Methods
Preparation of RB Maltodextrin
The Broken Rice (RB) samples (blends of the local varieties
MR 219 and MRR 220) were purchased from a local market
(Selangor, Malaysia). RB starch was prepared at the laboratory
scale according to method of Koh, et al. [13]. Low DE value RB (DE
10-14) maltodextrin was produced via enzymatic hydrolysis of
RB starch using a commercial α-amylase, BAN 480 L (Novozymes,
Denmark) based on a MARDI in-house method.
Experiential Design and Optimization using RSM
A five-level, three-factorial CCRD was employed in this
study. The fractional factorial design consisted of 8 factorial
points, 6 axial points and 6 center points, for a total of 20
experiments. The variables and the ranges selected for achieving
the maximal recovery of maltodextrin powder were as follows:
inlet temperature (140-170°C); feed flow (9-15%) and aspirator
rate (85-95%). The data obtained experimentally were analyzed
using Design Expert 6.06 version and were analyzed in three
main steps:
analysis of variance (ANOVA),
• performing a regression analysis and
• Plotting the response surface. The level of significance for all
of the tests was set at a 95% confidence level.
Preparation of microencapsulated VCO powder
RB maltodextrin of DE group 10-14 was supplied by MARDI
(Serdang, Malaysia). Cassava (COM) maltodextrin with purity of
>90% was obtained from San Soon Seng Food Industries Sdn. Bhd.
(Selangor, Malaysia) and was used as a reference because it was
known to produce high quality maltodextrin. Virgin Coconut Oil
(VCO) was purchased from Cocorosco Sdn. Bhd. (Johor, Malaysia).
All the chemicals used for this analysis were of analytical
grade. Gum arabic (food grade) was used as a stabilizer and
purchased from the Markaids (M) Sdn. Bhd (Selangor, Malaysia).
The emulsion of 200 mL was prepared at a core/wall material
ratio of 1:3. A small amount of gum Arabic (2.0%, w/v) was
added together with maltodextrin (15.0%, w/v) and dispersed
thoroughly in deionized water with a controlled temperature of
40°C water bath. The VCO (5.0%, w/v) was added drop wise to
the continuous stirring phase to form the emulsion. These coarse
emulsions were homogenized in a shear homogenizer (Silverson
L4R, Buckinghamshire, UK) for 1.5 min at 7,000 rpm to produce
a finer emulsion before subjecting it to the spray drying process.
The emulsions were spray dried with a mini-spray dryer (model:
Büchi B-290, Büchi Labortechnik AG, Switzerland) equipped with
a standard 0.7 mm standard diameter nozzle. The inlet and outlet
temperatures of the spray dryer were maintained at 170±2°C and
80±2°C, respectively.
Microencapsulation efficiency (MEE) in VCO
microcapsules
The total oil contents of VCO microcapsules were determined
by Lim, et al. [14] with minor modifications. Five grams of VCO
microcapsules was mixed with 20 mL of water at 50°C in a 250
mL Erlenmeyer flask with a stopper. A total of 15 mL of deemulsification
reagent was then added to the mixture and vortex
before leaving it in a 70°C water bath for 6 min. The resulting
mixture was then centrifuged at 3000 x g for 10 min, and the total
oil was collected. To prepare the de-emulsification reagent, 10 g
of sodium salicylate and 10 g of sodium citrate were dissolved
separately in double-distilled water, and the two solutions were
mixed together with 18 mL of n-butanol, and brought up to 90
mL with doublevi-distilled water. The surface oil was measured
by adding 200 mL of hexane to 5 g of VCO microcapsules and
hand shaken for 1.5 min. The solvent mixture was then passed
through filter paper. The surface oil was collected after hexane
evaporation. The MEE of different maltodextrin bases produced
VCO microcapsules were calculated as follows:
Particle Size Analysis
A particle size analyzer was used to determine the particle
size distribution of the VCO microcapsules. Each measurement
time was set at 12 s, and the background time was 10 s. All the
VCO microcapsules samples were sieved at size of < 100 μm before
being subjected to particle size determination to avoid particle
agglomeration from the coverage of surface fat. The particle size
distribution of VCO microcapsules was determined by using a
Scirocco 2000 dry powder system provided with a Mastersizer
2000 using laser diffraction (Malvern, Worcestershire, UK).
Measurements were performed in triplicate and the results were
reported as the means.
Scanning Electron Microscope (SEM)
A SEM was used to examine the morphology and surface
appearance of the VCO microcapsules. The VCO microcapsules
samples were attached to a specimen stub with carbon paint. The
coated microcapsules were examined in a Hitachi Hi-Tech FE-SEM
model SU8000 Series at 15.0 kV
Statistical Analysis
Data were statistically analyzed by a one-way analysis of
variance (SPSS statistics version 16). Significant differences
(P< 0.01) between means were determined by Duncan’s multiple
range test.
Results and Discussion
Model Fitting and ANOVA
The results of an ANOVA of the recovery rates of maltodextrin
powder are shown in Table 1. An ANOVA was conducted to
determine whether this polynomial model was significant. The
model adequacy was evaluated from the results of an F test and
the determination coefficient (R2). Some non-significant terms
(P< 0.05) were eliminated and the resulting equations were tested
for adequacy and fitness using an ANOVA. The calculated F values
for almost all of the responses were higher than the tabulated
values, indicating that the model showed significant regression
at a 95% confidence level. According to Table 1, model Prob > F
value is 0.0051 less than 0.05, which indicated that the model was
significant.<
The overall predictive capability of a model is commonly
explained by the coefficient of determination (R2). The R2 value
of the recovery rate of RB maltodextrin powder was 0.91. This
value was close to 1.0, which means that the model equation is
closer to the true behavior of the system, and it can be used for
interpolation in the experimental domain [15]. The small P value
(0.005) obtained using the ANOVA indicated that the reduced
cubic polynomial model was highly significant and sufficient
to represent the actual relationship between the response
maltodextrin powder recovery rate (%)] and the significant
variables
Table 1:ANOVA analysis and equation formula for the response surface reduced cubic model of the recovery rate of RB maltodextrin powder
Response: Total Maltodextrin Powder Yield
ANOVA for Response Surface Reduced Cubic Model |
Source |
|
Sum of squares |
DF |
Mean Square |
F value |
Prob>F |
|
Model |
2295.03 |
11 |
208.64 |
7.05 |
0.051 |
A |
413.95 |
1 |
413.95 |
13.99 |
0.0057 |
significant |
B |
2.89 |
1 |
2.89 |
0.098 |
0.7628 |
|
C |
143.62 |
1 |
143.62 |
4.85 |
0.0587 |
A2 |
96.70 |
1 |
96.70 |
3.27 |
0.1082 |
B2 |
350.64 |
1 |
350.64 |
11.85 |
0.0088 |
C2 |
31.65 |
1 |
31.65 |
1.07 |
0.3312 |
AB |
12.03 |
1 |
12.03 |
0.41 |
0.5415 |
AC |
186.15 |
1 |
186.15 |
6.29 |
0.0365 |
BC |
42.37 |
1 |
42.37 |
1.43 |
0.2657 |
B3 |
96.30 |
1 |
96.30 |
3.26 |
0.1088 |
ABC |
453.16 |
1 |
453.16 |
15.32 |
0.0045 |
Residual |
|
236.66 |
8 |
29.58 |
|
|
Lack of Fit |
137.83 |
3 |
45.94 |
2.32 |
0.1920 |
not significant |
Pure Error |
98.83 |
5 |
19.77 |
|
|
|
Cor Total |
|
2531.69 |
19 |
|
|
|
aSignificant at “Prob > F” less than 0.05; R2 = 0.91
(Abbreviations: A: Inlet temperature; B: Feed flow; C: Aspirator rate) |
Equation of total maltodextrin powder yield |
+4251.68441 |
|
-26.72854 |
*Inlet Temperature |
-519.01524 |
*Feed Flow |
-42.77022 |
*Aspirator Rate |
-0.011513 |
*Inlet Temp2 |
+3.38312 |
* Feed Flow2 |
-0.059278 |
* Aspirator Rate2 |
+3.03775 |
*Inlet Temp* Feed Flow |
+0.33708 |
*Inlet Temp*Aspirator Rate |
+5.33817 |
*Feed Flow*Aspirator Rate |
-0.10920 |
*Feed Flow3 |
-0.033450 |
*Inlet Temp* Feed Flow*Aspirator Rate |
Effect of the Parameters
The inlet temperature, feed flow and aspirator rate were
three most important factors affecting the recovery rate of RB
maltodextrin powder. The 3D surface plots were developed using
the fitted reduced cubic model (modified model) by holding one
of the independent variables at a constant value and changing
the levels of the other two variables to investigate the interaction
relationship among variable factors.
Figure 1 shows the response surface plots of RB maltodextrin
powder yield as a function of the inlet temperature, the feed flow
and their mutual effect, with the aspirator rate set at 90%. It
was observed that the RB maltodextrin powder yield increased
when the inlet temperature was increased from 140 to 155°C and
that thereafter, it decreased with a dome shape observed. The
inlet temperature and the feed flow showed an important interrelationship
in determining the yield of RB maltodextrin powder.
A higher recovery rate of RB maltodextrin powder was obtained
at the higher inlet temperature when the feed flow was reduced
from 15 to 12%. However, the recovery rate of RB maltodextrin
powder was decreased when the feed flow was set below 12%
and a higher inlet temperature was required.

Figure 1:Response surface plots of the recovery rate of RB maltodextrin powder based the effect of the inlet temperature, the feed flow and theire mutual effect, with the aspirator rate set at 90%
Figure 2 shows the response surface plots as a function of
the inlet temperature, the aspirator rate and their mutual effect
with the feed flow constant at 9%. This plot also showed a dome
shape as seen in Figure 1. A higher aspirator rate was suitable
for maximal recovery rate of RB maltodextrin powder only when
the inlet temperature was increased from 140 to 155°C. In this
case, a lower yield of RB maltodextrin powder was observed at
a lower aspirator rate, whereas a higher yield was observed at a
higher aspirator rate when the feed flow was set at 9% and the
inlet temperature was increased.
A higher aspirator rate was also required for the optimal
recovery of RB maltodextrin with a higher feed flow when the
inlet temperature was set at 155°C, as shown in Figure 3. At a
low aspirator rate, less than 90%, the yield of RB maltodextrin
powder decreased when the feed flow was increased to 15%.
Optimization and Model Verification
The conditions for the optimal recovery of RB maltodextrin
powder were predicted using the optimization function of Design
Export Software. To predict the maximal percentage yield of
RB maltodextrin powder in which the variables were set to the following particular values: a) the inlet temperature was set at
170°C; b) the feed flow was set at 9%, and c) the aspirator rate
was set in the range of 85% and 95%, the software will generate
the optimal solution condition to obtain high recovery rate of
RB maltodextrin powder. Based on these criteria, the optimum
solution for the best recovery rate of RB maltodextrin powder was
predicted with the spray dryer operating parameters was fixed at
an inlet temperature of 170°C, a feed flow of 9% and an aspirator
rate of 95%, which resulted in a predicted optimal recovery rate
of 94.07%, as shown in Table 2. The experimental value of 92.71%
(n=3) recovery was obtained by conducting the experiment in
triplicate using the optimal operating parameters. This finding
verified the high recovery rate of RB maltodextrin powder that
was predicted using the RSM optimization approach. The good
correlation between the actual and predicted values confirmed
the validity of the response model and the optimal points obtained
[16]. The interaction effects of the inlet temperature, feed flow
and aspirator rate established using the RSM optimization model
can be used as guidelines to predict the yield of RB maltodextrin
powder without conducting experiments.

Figure 2:Response surface plots of the recovery rate of RB maltodextrin based on the effect of the inlet temperature, the aspirator rate and their mutual effect, with feed flow set at 9%
Figure 3:Response surface plots of the recovery rate of RB maltodextrin based the effect of the feed flow, the aspirator rate and their mutual effect, with the inlet temperature set at 155°C
Table 2:Optimization and model verification of recovery rate of RB maltodextrin powder
Optimization Model |
% Recovery rate |
Inlet Temperature (°C): 170
Feed Flow (%): 9
Aspirator Rate (%): Range of 85 – 95
Recovery rate of maltodextrin powder: Maximum
Optimum solution:
Inlet temperature (170°C); Feed flow (9%) and Aspirator rate (95%) |
Experimental Value |
Predicted Value |
92.71 ± 3.67 (n=3) |
94.07 |
The % MEE and Particle Size Distribution of
Microencapsulated VCO Powder
The particle size distribution and % MEE of microencapsulated
VCO samples that were produced from different wall materials
are shown in Table 3. Particle size distribution has a major role
in processing, handling, shelf life and the microstructure, which
is related to powder functionality, stability and flow ability [17].
Based on the results, the type of wall materials with specific
DE value were shown to have a significant influence on the %
MEE of the VCO microcapsules. The RB maltodextrin exhibited
a significantly higher degree (p< 0.01) of % MEE in comparison
with COM maltodextrins. Maltodextrin with the same DE values
can possess different functional and physico-chemical properties,
which is dependent on the starch molecular structure itself [18].
This statement was confirmed by the significant differences
(p< 0.01) in the % MEE values obtained for RB (94.39%) and COM
maltodextrins (81.15%) under the same grade of maltodextrin
(DE 10-14) when applied as a coating material to produce VCO
microcapsules. The higher molecular-weight of maltodextrins
provides an excellent encapsulation property. Based on our
findings, our RB maltodextrin (DE 10-14) was able to achieve
higher % MEE than other studies which also used maltodextrin
as a microencapsulating agent including 84.95% MEE, 84.25%
MEE and 81.1% MEE [20-22]. A higher percentage of MEE values
indicated better protection of the core material by the wall
material [14].
The particle size of microencapsulated VCO powder is
presented as D4, 3 value (the volume-weighed mean or volume
mean diameter) after spray drying. Wall materials based on RB
maltodextrin showed a slightly smaller particle size than COM
maltodextrin. Microencapsulated VCO powders coating with RB
maltodextrin with DE values of 10- 14 exhibited the highest %
MEE values with particle size distribution of 13.38 μm. According
to Ahn, et al. the particle size of the microcapsules formed had
an influence on % MEE value of encapsulated powder. The latter
statement is supported by the findings of Shiga et al. (2004),
the surface area of the carrier increased with an increase in
the molecular-weight. This finding confirmed that the smaller
particle size exhibited by RB maltodextrin resulted in an efficient
and higher % MEE (94.39%).
Table 3:Optimization and model verification of recovery rate of RB maltodextrin powder
Wall materials |
DE value |
Powder particle size D4,3 (µm) |
MEE
(%) |
RB |
10-14 |
13.38±0.00a |
94.39±1.40a |
COM |
10-14 |
13.44±0.00a |
81.15±1.21b |
aEach data was expressed as mean ± standard deviation of triplicate
determinations. Mean values with different superscripts in the same
column are significantly different p < 0.01
(Abbreviations: RB: Broken rice Maltodextrin; COM: Commercial
Maltodextrin; DE: Dextrose Equivalents)
Morphology Study of Microencapsulated VCO via SEM
The morphological appearances of various VCO microcapsules
products are presented in Figure 4. SEM was performed to assess
the % MEE by determining the encapsulation ability of the wall
materials as the integrity and porosity of the microcapsules [23].
This morphological analysis demonstrated a size, shape and
agglomeration tendency of smaller particles between themselves
and forms bigger particles. One way to reduce the agglomeration
between the microcapsules is to increase the percentage of the
wall material. Although the outer surfaces of VCO microcapsules
exhibited irregularities (dents), they showed no pores or cracks
on the VCO microcapsules. The presence of these dents has an
adverse effect on the flow behavior of microcapsules; however,
they did not affect the stability of the encapsulation property [24].
According to SEM observations, the surfaces of VCO
microcapsule coatings with RB maltodextrin wall material
exhibited the best morphology (Figure 4 b and c) with % MEE
of 94.4, confirming that this type of wall material has better
functionality in encapsulating properties as opposed to the
VCO microcapsule coatings with COM maltodextrin (Figure 4a).
According to Shiga, et al. longer chains of glucose polymers (low
DE group) increased the retention ability of the microcapsules
[19]. This statement was further confirmed with the findings
observed by SEM analysis and % MEE value of both VCO
microcapsule samples.
Conclusion
RSM comprising a five-level, three-factorial and CCRD were
successfully determined the spray dryer operating parameters
for the optimal yield of RB maltodextrin powder. Through RSMbased
optimization and verification modeling, the optimal
operating parameters of the spray dryer were identified, resulting
in a maximal recovery rate of maltodextrin powder. In summary,
RB maltodextrin exhibited a higher % MEE value in comparison
to the COM maltodextrin in the production VCO microcapsule
under the same DE group. The findings indicated that RB
maltodextrin has better microencapsulating properties than
COM maltodextrin and were further confirmed by observing its
microstructure appearance. This study provides an opportunity
to create value added products and explore the potential usage of
maltodextrin from RB sources for future applications in food and
pharmaceuticals industries.
Acknowledgments
We gratefully appreciate the financial support of this work
by Ministry of Science, Technology and Innovation of Malaysia,
MOSTI (Science fund: 06-03-08-SF0320). We would like to
thank the staffs of the Food Science and Technology Faculty of
the University Putra Malaysia (UPM) and Malaysian Agricultural
Research and Development Institute (MARDI) for their help and
the use of all facilities needed to conduct this study.
Figure 4:SEM images of microencapsulated VCO with different wall materials. a) COM maltodextrin DE 10-14; b) RBmaltodextrin DE 10-14 (10μm); c) RB maltodextrin DE 10-14 (5.00 μm)
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