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Desalination and Water Treatment
ISSN: 1944-3994 (Print) 1944-3986 (Online) Journal homepage: http://www.tandfonline.com/loi/tdwt20
Clove oil nanoemulsion as an effective
antibacterial agent: Taguchi optimization method
Mohammad Hassan Shahavi, Morteza Hosseini, Mohsen Jahanshahi, Rikke
Louise Meyer & Ghasem Najafpour Darzi
To cite this article: Mohammad Hassan Shahavi, Morteza Hosseini, Mohsen Jahanshahi,
Rikke Louise Meyer & Ghasem Najafpour Darzi (2015): Clove oil nanoemulsion as an effective
antibacterial agent: Taguchi optimization method, Desalination and Water Treatment, DOI:
10.1080/19443994.2015.1092893
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Published online: 07 Oct 2015.
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Clove oil nanoemulsion as an effective antibacterial agent: Taguchi
optimization method
Mohammad Hassan Shahavia,b
, Morteza Hosseinia,
*, Mohsen Jahanshahia
,
Rikke Louise Meyerb
, Ghasem Najafpour Darzia,
*
a
Faculty of Chemical Engineering, Nanotechnology Research Institute, Babol Noshirvani University of Technology, Babol, Iran,
emails: m_shahavi@yahoo.com, shahavi@inano.au.dk (M.H. Shahavi), m.hosseini@nit.ac.ir (M. Hosseini), mmohse@yahoo.com,
mjahan@nit.ac.ir (M. Jahanshahi), Tel. +98 11 3233 4204; Fax: +98 11 3231 0975; emails: najafpour@nit.ac.ir,
najafpour8@gmail.com (G. Najafpour Darzi)
b
Interdisciplinary Nanoscience Center (iNANO), Aarhus University, Aarhus, Denmark, email: rikke.meyer@inano.au.dk (R.L. Meyer)
Received 26 May 2015; Accepted 23 August 2015
ABSTRACT
Clove oil is an essential oil used as a biodegradable antibacterial agent in food and pharma-
ceutical products. Emulsions are used to stabilize and increase the antimicrobial efficacy of
oils in aqueous solutions. Smaller droplets provide better distribution of the oil. In this
study, we formulate clove oil in aqueous solution by nanoemulsion. The aim of this study
was to optimize key parameters in the preparation of clove oil nanoemulsion to obtain
stable emulsions with less than 50 nm droplet size. The evaluated parameters include the
concentration of clove oil, concentration of emulsifier, hydrophilic–lipophilic balance (HLB)
number, and ultrasonication time. We determined the following response parameters: dro-
plet size, polydispersity index, and zeta potential, and we aimed to achieve <50 nm droplet
size with low polydispersity index and a highly negative zeta potential. The optimization
and evaluation was obtained via Taguchi method. Taguchi method identified the concentra-
tion of clove oil and the HLB as the most affecting factors in the preparation of nanoemul-
sions. The optimum conditions for the preparation of nanoemuslion such as mean droplet
size, polydispersity index, and zeta potential were 50 nm, 0.49 and −40.7 mV, respectively.
This formulation of clove oil resulted in minimum inhibitory concentration against
Escherichia coli and Bacillus cereus of 16 and 32 μg/ml, respectively, and minimal bactericidal
concentrations of 16 and 64 μg/ml, respectively.
Keywords: Antibacterial; Clove oil; Droplet size; Nanoemulsion; Taguchi optimization
1. Introduction
Nowadays, environmental pollutions caused by
excessive use of pesticides have brought scientists and
public special attention. Applications of effective green
pesticides in agricultural production fields are highly
recommended to prevent crop yield losses and obtain
high production yield. Synthetic chemicals used as
pesticides may cause serious side effect, such as pene-
tration of hazardous chemical into surface water bod-
ies and create environmental complication due to
toxicity of chemicals used [1,2].
*Corresponding authors.
1944-3994/1944-3986 Ó 2015 Balaban Desalination Publications. All rights reserved.
Desalination and Water Treatment (2015) 1–12
www.deswater.com
doi: 10.1080/19443994.2015.1092893
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Nanoemulsions are one of the emulsion types that
can be prepared from oil, water, and emulsifier with
particle sizes ranged in 10–100 nm [3]. The biggest dif-
ference between nano and conventional emulsions is
the size of droplets. Nanoemulsion possesses several
advantages, such as high physical stability (stability to
gravitational forces, flocculation and coalescence), high
bioavailability, and low turbidity, which make them
more attractive systems for food applications [4–6],
cosmetics [7], and pharmaceuticals [8]. Apart from
droplet size, coalescence also depends on other envi-
ronmental factors, such as the type of emulsifiers used
(ionic/nonionic), pH, and storage temperature. Gener-
ally, oil in water nanoemulsions acts as a carrier of
bioactive compounds for instance essential oil (dis-
persed phase) in water (continuous phase). Essential
oils are potential sources of novel antimicrobial com-
pounds; especially used against pathogenic bacteria
[9]. Generally, nanoemulsion of natural oil in water
cannot be easily separated from aqueous phase [10].
Therefore, they can be formulated with different
bioactive agents, such as drugs in pharmaceutical
industry [5], as a flavor [11], solubilizing agent, water-
insoluble compounds in agrochemical industry [5,12],
lotion for skincare in cosmetics [7] and also used as
antimicrobial agents in food industry [13].
Clove oil has biological activities, such as
antibacterial, antifungal, insecticidal, and antioxidant
properties. It is traditionally used as a flavor and
antimicrobial agent in food [13,14]. Eugenol is the
major constituent of clove essential oil; it is a phenolic
compound with strong biological and antimicrobial
activities. It can denature protein and react with phos-
pholipids in cell membrane. Also, it can change cell
membrane permeability and inhibit a great number of
Gram-negative and Gram-positive bacteria as well as
various types of yeast [15,16].
Ultrasonic emulsification is an energy-efficient
method to develop nanoemulsions. This method is
documented as a fast and efficient technique for
formulating stable nanoemulsions with very small
droplet size and low polydispersity [8,17]. It takes
advantage of sound waves to generate powerful shock
waves and create acoustic cavitation to disrupt the
coarse droplets with the aid of an ultrasonic probe
homogenizer [4,8,18]. This method is preferable over
mechanical methods due to its lower energy consump-
tion (through heat loss) and use of small amounts of
emulsifiers. Ultrasonic emulsions have more uniform
droplet size and are more stable compared to emul-
sions achieved by mechanical agitation [18–20].
Taguchi design method is a fractional factorial
design which uses an orthogonal array (OA) that can
greatly reduce the number of experiments [21]. In
addition, analysis of variance (ANOVA) can estimate
the effect of a factor on the characteristic properties.
The variability is decisive for choosing the optimal
condition. Our aim is to determine the smallest dro-
plet size with high stability. The variability is
expressed by signal-to-noise (S/N) ratio. This is an
important factor to simulate and analyze the influence
of multiple control factors on performance as well as
to investigate the influence of individual factors to
determine the most effective parameters [22].
The nanoemulsion clove oil droplet size of less
than 50 nm was not reported [23,24]. The objective of
present work was to optimize process parameters in
the preparation of clove oil nanoemulsion by means of
oil and emulsifier concentrations, sonication time, and
hydrophilic–lipophilic balance (HLB) number. The
clove oil nanoemulsion was tested as antibacterial
agent against Escherichia coli and Bacillus cereus.
2. Materials and methods
2.1. Materials
Clove oil (C8392) was purchased from Sigma–
Aldrich®
(St. Louis, MO, USA); the nonionic surfac-
tants of polyethylene sorbitan monooleate (822187,
Tween®
80) synthetic grade and sorbitan monooleate
(840123, Span®
80) synthetic grade were purchased
from Merck-Millipore®
(Darmstadt, Germany); water
used in all the experiments was purified with a Milli-
Q system consisting of filtration through 0.2 μm filters
(Milipore Co., Bedford, MA, USA). For antibacterial
testing; microbiological grade of peptone from casein
(70171), peptone from soybean (70178), and agar pow-
der (05040) were purchased from Fluka®
Analytical
(Dresden, Germany). In addition, dipotassium hydro-
gen phosphate (60353) and sodium chloride (S9888)
were supplied from Sigma–Aldrich®
(St. Louis, MO,
USA). D (+)-glucose (108337) was obtained from
Merck-Millipore®
(Darmstadt, Germany).
2.2. Antimicrobial activity assay
Gram-negative bacteria, E. coli K12 (LZB035; Kent,
UK) and Gram-positive bacteria, B. cereus (ATCC
10987) were maintained on tryptic soy agar (TSA)
plates and single colonies were inoculated and cul-
tured overnight in tryptic soy broth (TSB) (17 g/l pep-
tone–casein, 3 g/l peptone–soybean, 2.5 g/l
dipotassium hydrogen phosphate, 2.5 g/l glucose, and
5 g/l sodium chloride) at 37˚C and agitated at
120 rpm. Trypticase soy agar (TSA plate) was used as
solid culture with 1.5% agar added to the TSB media
and then plates were stored at 4˚C.
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The estimation of the minimal inhibitory concen-
tration (MIC) and minimal bactericidal concentration
(MBC) of optimum formula of clove oil nanoemulsion
were measured by the broth microdilution method.
Briefly, overnight cultures were diluted in fresh TSB
to 107
CFU/ml, and diluted 10-fold into 200 μl TSB in
sterile 96-well microtiter plates (NUN-161093, Nun-
clon™) prepared with a concentration of the clove oil
nanoemulsion ranging from 1 to 1,024 μg/ml after
addition of the inoculum to the wells. Nanoemulsion-
free wells served as positive controls (growth control)
and bacteria-free well served as blanks. Microtiter
plates were then incubated statically at 37˚C for 24 h,
and then optical density at 600 nm (OD600) was deter-
mined using a microtiter plate reader (Power Wave™
XS2; BioTek®
, Vermont, USA). The MIC was defined
as the lowest concentration of the clove oil nanoemul-
sion at which an increase in OD600 compared to the
blanks could not be detected. The MBC was deter-
mined by transferring 10 μl of each suspension from
wells with no apparent growth to TSA and examining
growth after incubation at 37˚C for 24 h. The MBC
was defined as the lowest concentration of the clove
oil nanoemulsion resulting in no detection of viable
cells, corresponding to kill >99.99% of the bacteria.
Each experiment was replicated for four times.
2.3. HLB number
Nonionic surfactants consist of molecules that com-
bine both hydrophilic and lipophilic groups. They are
classified according to the balance of the size and
strength of these two opposing groups which is called
the HLB, and assigned a HLB number to each of these
molecules. In general, the HLB number is in a wide
range from 0 (hydrophobic end) to 20 (hydrophilic
end) such that high HLB surfactants are used for mak-
ing oil in water emulsions.
Tween®
80 (HLB value of 15.0) and Span®
80 (HLB
value of 4.3) as mixtures were selected for the
preparation of emulsions; because of their high degree
of compatibility with other ingredients, chemically
stable, and having low toxicity. Fig. 1 demonstrates
the hydrophilic and hydrophobic tails of Tween®
80
and Span®
80, respectively. Span®
80 as a viscous,
lipophilic, emulsifying liquid agent is often used to
form water in oil emulsions. Tween®
80, hydrophilic
in nature, is a derivative of Span®
80 due to hydroxyl
functional groups on sorbitan ring are replaced by the
bulky polyoxyethylene groups. Such substitutions
make Tween®
80 more soluble in water, which then
easily formed oil in water emulsions. Furthermore,
Tween®
80 and Span®
80 are generally considered as
safe additives in pharmaceutical, cosmetic, and food
products. Nonionic surfactants as uncharged mole-
cules are also known as safe and biocompatible prod-
ucts; they are not affected by pH changes in media
[25–27].
Use of single surfactant was tested, due to low or
high HLB values, and also based on zeta potential
data the droplets size was not quite stable. A blend of
hydrophilic and lipophilic surfactants is required to
obtain longer stability of the dispersion phase at the
lowest concentration levels. Also, a blend of surfac-
tants with an HLB that matches with the oil phase has
to provide high solubilization and stability of the dis-
persion system. Therefore, the selection of surfactant
blends at low and high HLB matches the HLB of oil
which is important in the formulation of a colloidal
system. In this research, the HLB number system was
used to optimize a compatible nonionic mixture of
surfactants and calculate the HLB number of mixed
surfactants system by the following expression:
HLB ¼
mA HLBA þ mB HLBB
mA þ mB
(1)
where mA (g) and mB (g) are the mass of the surfactants
A and B, respectively. HLBA and HLBB are the HLB
number of the surfactants A and B, respectively [28].
2.4. Taguchi design of the experiment
The Taguchi design method applies fractional
factorial test designs called OAs that serve to reduce
the number of experiments. The selection of a suitable
OA depends on the number of control factors and
their levels. Using OA design can estimate multiple
process variables which is simultaneously affecting on
the performance characteristic, while minimizing the
number of test runs. For example, for four parameters
at three levels, the traditional full factorial design
would require 34
or 81 experiments. In the Taguchi L9
OA, however, the required experiments are only 9. To
accomplish such goal, Taguchi L9 OA design (four
factors with 3-level design) was used to determine
and optimize the instrumental parameters to consider
very small droplet size diameter and long storage sta-
bility and small polydispersity. The design of experi-
ment (DOE) using the Taguchi method provides a
simple, efficient, and systematic approach to deter-
mine the optimum conditions [29–31].
2.4.1. Effective factors and levels
There are four key factors in the preparation of
clove oil nanoemulsion procedure which include the
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oil concentration (A), emulsifier concentration (B),
HLB number (C), and ultrasonic emulsification time
(D). These four factors, each at three levels, are
summarized in Table 1.
2.4.2. Selection of OA and factor assignments
In this research, L9 OA (four parameters, in three
levels) was used. To observe the data reliably on
experiment, droplet size (nm), polydispersity index
(PDI), and zeta potential (mV) data were repeated
three times with the same conditions. L9 OA was used
to determine the instrumental parameters shown in
Table 2. Each row in this table represents a trial
condition with the level of factors.
For analysis of the results and optimized condi-
tions for setting the control factors, QUALITEK-4
(QT4) software was used. QT4 Version 4.75 is the MS-
Windows 7 version software for automatic design and
analysis of Taguchi experiments.
2.4.3. Signal-to-noise ratio
In the Taguchi method “signal” and “noise” for
output characteristics and the signal/noise ratio (S/N)
represent the desirable signal value and the undesir-
able noise value, respectively. The ratio is used to
transform the quality characteristics [32]. The equation
of S/N ratio depends on the criteria used for
optimization of the quality characteristics. In this
research, the results of nanoemulsion of mean droplets
size, PDI, and zeta potential values were used to
calculate the corresponding S/N ratio, and the
equation is stated as follows:
S=N ¼ 10 log
1
n
X
Y2

(2)
where n is the number of tests and Y is the response
factor.
The S/N ratio mean values for samples at each set
of experimental conditions for each process parameter
variables are obtained. Based on the orthogonal
experimental design, the effect of each process
parameter on S/N ratio at different levels for each
sample is properly reported.
2.4.4. Statistical analysis
ANOVA was performed in order to determine sig-
nificant differences among the factors. It evaluates sig-
nificance of the controlling factors by calculating the
F-ratio (variance ratio) and the percentage contribution
by each of the design parameters and error. Sum of
squares (SS), degrees of freedom (DOF), mean of
square (MS), and associated F-test of significance (5%)
(F) can be calculated as follows:
SSA ¼
X
kA
i¼1
A2
i
nAi
!

T2
N
(3)
Fig. 1. Specification of surfactants.
Table 1
Selected process parameters and respective levels in the experimental design
Process parameters Level 1 Level 2 Level 3
(A) Clove oil concentration (wt%) 2.5 7.5 15.0
(B) Emulsifier concentration (wt%) 2.5 5.0 7.5
(C) Mixed HLB number 9.0 12.0 15.0
(D) Ultrasonication time (s) 150 300 450
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where kA is the number of the levels of factor A, nAi
is
the number of all observations at level i of factor A, Ai
is the sum of all observations of level i of factor A,
and T is the sum of all observations. SS of error is
computed by the following equation:
SSe ¼ SST SSA þ SSB þ
ð Þ (4)
where SST is the total SS:
SST ¼
X
N
i¼1
y2
i
T2
N
(5)
where yi is the observation of i. MS is calculated by
dividing the SS by the DOF. DOFA is estimated by
DOFA = kA − 1. F-value is calculated as follows:
FA ¼
MSA
MSe
(6)
MSe is the variance of error.
The percentage contribution for each factor is
defined as the portion of a total observed variance in
the experiment for each significant factor. The greater
the value the more it contributes to the final results.
Quantitative evaluation can be achieved using percent-
age contribution (P (%)). It is calculated by dividing the
source’s net variation by SST, which is given as follows:
P %
ð Þ ¼
SSA DOFA MSe
ð Þ
SST
100 (7)
2.5. Clove oil nanoemulsion
In order to obtain clove oil emulsion in nano dro-
plets size, the number of blends of different weight
percentages of Span®
80 (HLB = 4.3) and Tween®
80
(HLB = 15) for various HLB number on experimental
design were prepared. These variables were deter-
mined from Eq. (1) as indicated in Table 3. For exam-
ple, surfactant mixing ratio to obtain the HLB no. 9,
56 wt% of Span®
80 with 44 wt% of Tween®
80 were
mixed.
Based on Taguchi design, sample preparation with
different concentration of clove oil and surfactants
blended with Span®
80 and Tween®
80 (based on dif-
ferent blends summarized in Table 3) to Milli-Q water
as the aqueous phase in a test tube. Then, all samples
were premixed by vortex mixer IKA®
-MS2 Minishaker
(IKA Labortechnik, Staufen, Germany) for 1 min; fur-
ther emulsification by sonication was performed for 3
times using an ultrasonic homogenizer with a power
of 70 W at 20 kHz using Sonopuls HD 2070 (Bandelin
Electronic, Berlin, Germany) equipped with a 3-mm
diameter Sonotrode probe made of titanium. In order
to keep the temperature below 30˚C, the emulsions
were maintained in an iced water bath. Then the mean
droplet diameter, PDI, and zeta potential of all the
samples were determined. Fig. 2 presents the
schematic diagram of the experimental set up for
preparation of nanoemulsions.
Table 2
Experimental layout by Taguchi L9 OA design
Experimental run
number
Parameters
Clove oil concentration
(wt%)
Emulsifier concentration
(wt%)
Mixed HLB
number
Ultrasonication time
(s)
1 2.5 2.5 9.0 150
2 2.5 5.0 12.0 300
3 2.5 7.5 15.0 450
4 7.5 2.5 12.0 450
5 7.5 5.0 15.0 150
6 7.5 7.5 9.0 300
7 15.0 2.5 15.0 300
8 15.0 5.0 9.0 450
9 15.0 7.5 12.0 150
Table 3
Ratio of mixed surfactants in preparation of mixed HLB
number based on Eq. (1)
Mixed HLB number
9 12 15
HLBA(Span® 80) = 4.3 mA = 56 28 0
HLBB(Tween® 80) = 15 mB = 44 72 100
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2.6. Droplet size and PDI analysis
One of the most important physical characteristics of
a nanoemulsion is the droplets size distribution.
Dynamic light scattering (DLS) with a Malvern Zeta-
sizer®
Nano ZS (model ZEN 3600, Malvern Instruments,
Worcestershire, UK) operating at a fixed scattered angle
of 173˚ was used for all the samples of oil in water emul-
sions. The mean droplet diameter (Z-average) of the
samples and polydispersity indices were calculated from
the droplet size distribution. Z-average size (also known
as the “cumulants mean”) is the size to use if a number
is required for quality control purposes. In DLS, this is
the most important and stable number produced by
Z-average technique. The software used to collect and
analyze the data was the Zetasizer®
Software (version
7.03). These parameters were obtained from the auto-
correlation function using the “general purpose mode”
analysis model. Also, measurements were controlled at
25˚C; each measurement was repeated for three times
and the average value was reported.
Refractive index (RI) value of 1.59 was used for
emulsion solution with several concentration of clove
oil. For the sample RI, it is only required to display or
print the result as a volume distribution. It is not
required for calculation of the Z-average size.
2.7. Zeta potential measurements
Zeta potentials of nanoemulsion samples were
measured in a disposable folded capillary cell model
DTS1070 (Malvern Instruments, Worcestershire, UK)
at 25˚C using the Zetasizer®
Nano ZS (model ZEN
3600, Malvern Instruments, Worcestershire, UK) were
controlled through the Zetasizer®
Software (version
7.03). Before any measurements, cells were allowed to
equilibrate at 25˚C for 120 s. All experiments were
performed in triplicates. The average and standard
deviation of the zeta potential were calculated from
three separately independent prepared samples
measurements.
3. Results and discussion
There is no scientific literature to demonstrate
preparation and optimization of clove oil nanoemul-
sion by ultrasonic emulsification using Taguchi
method. Also, the nanoemulsion droplet size of less
than 50 nm has not been reported in the literature. In
this work, the responses of 3 variables known as least
average of droplet size (nm) (Y1); PDI (Y2) and zeta
potential (mV) (Y3) for the desired experimental out-
come were 28.8 nm, 0.38, and −40.1 mV, respectively
(Table 4).
3.1. Signal-to-noise ratio
The mean value of the S/N ratio in decibel
(dB) at different levels of the process parameter
for mean droplet size (nm), PDI, and zeta potential
(mV) are illustrated S/N graphs in Fig. 3(a)–(c),
respectively. Basically, it is defined that smaller S/
N ratio is the better quality characteristic for the
nanoemulsion.
3.2. ANOVA
The purpose of ANOVA is to investigate which
process parameter significantly affected the properties
of clove oil nanoemulsion such as, nanoemulsion
mean diameter under 50 nm with zeta potential below
−30 mV (high stability), and lowest PDI. Table 5 con-
tains the ANOVA for (a) mean droplet size (nm), (b)
PDI and (c) zeta potential (mV). In this table, the rows
marked as “Error” that refer to errors caused by
uncontrollable factors (noise) that are not included in
the experiment and the experimental error. In general,
Fig. 2. Schematic diagram of the experimental set up for preparation of clove oil nanoemulsion.
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the value should be less than 50%, otherwise, results
would not be reliable. Here, the calculated error was
about 0.1% for mean droplet size experiments, 16.7%
for PDI, and 0.5% for zeta potential experiments. It
can be seen that these are significantly under the limit.
It means that nearly all important and effective factors
have been considered and that errors in the
experiments are not significant.
Fig. 4 shows the contribution of clove oil concen-
tration which has highly significant effect on
nanoemulsions’ performance indicators; especially in
the case of mean droplet size of nanoemulsions that
had superior effects. On the contrary, the effect of
emulsifier concentration was the lowest among the
other experimental factors. In addition, the effect of
mixed HLB number was considered on zeta potential
Table 4
Responses of various nanoemulsions of clove oil (mean ± SD, replicated 3 times)
Experimental run number
Responses
Y1 Y2 Y3
1 127.8 ± 2.3 0.46 ± 0.03 −30.9 ± 0.60
2 134.6 ± 2.6 0.38 ± 0.06 −13.0 ± 0.44
3 310.3 ± 6.2 0.56 ± 0.02 −10.4 ± 0.21
4 60.5 ± 1.7 0.52 ± 0.02 −29.5 ± 0.67
5 57.7 ± 1.5 0.55 ± 0.02 −16.3 ± 0.57
6 49.1 ± 2.3 0.50 ± 0.01 −29.5 ± 0.95
7 47.0 ± 1.3 0.49 ± 0.01 −32.4 ± 0.15
8 34.0 ± 1.2 0.49 ± 0.05 −40.1 ± 1.04
9 28.8 ± 1.6 0.48 ± 0.03 −17.3 ± 0.35
Notes: Y1 (mean droplet size (nm)); Y2 (PDI); Y3 (zeta potential (mV)).
Fig. 3. S/N ratio graphs for (a) mean droplet size (nm), (b) PDI, and (c) zeta potential (mV).
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and PDI. The obtained data showed that the ultrason-
ication time was another effective parameter on PDI
and particle size of nanoemulsion.
ANOVA may be used to estimate the process
performance at optimum conditions. In Taguchi
method, optimum conditions are those that may result
in the smallest S/N ratio. Levels with a low S/N ratio
are those that represent the optimum conditions for a
considered factor. Based on ANOVA results, the pro-
cess parameter for the optimal clove oil nanoemulsion
properties are not the same. The results of optimum
conditions of mean droplet size, PDI, and zeta poten-
tial are listed in Table 6. The S/N ratio at optimum
condition and the expected condition has resulted in
minimum droplet size. The processing conditions for
attaining optimal concentration of clove oil (A) at level
3, concentration of emulsifier amount (B) at level 2;
HLB number (C), and ultrasonication time (D) at level
1, are found to be optimum. At the optimum condi-
tions predicted by Taguchi method, the S/N ratio
improved to about −29.5 dB. Thus, the expected value
of the droplet size at optimum conditions was 30 nm.
Table 6 part “b” shows that the predicted condi-
tions to give minimum PDI are similar to the experi-
mental conditions of run 2 (Table 2). At the optimum
conditions expected by Taguchi method, the S/N ratio
was defined as 0.374 dB. Thus, the obtained PDI based
on the S/N 0.374 is approximately 0.38. The reason for
this improvement is that the levels (experimental
conditions) in optimum conditions are those with the
smallest S/N ratio.
The expected S/N ratios for zeta potential at
optimum condition, such as concentration of clove oil
amount (A) and ultrasonication time (D) at level 3, and
concentration of emulsifier amount (B), and HLB num-
ber (C) at level 1was about −47.9 mV (Table 6 part c).
Table 7 shows the specific optimum conditions for
clove oil nanoemulsion. In fact, our goal is at optimal
conditions to obtain droplet size of 50 nm with mini-
mum PDI and zeta potential (mV).
In comparison of actual experimental data with
predicted values which were projected by Taguchi
method using the information defined in final step of
optimization, the experimental values were quite close
Table 5
ANOVA for (a) mean droplet size (nm), (b) PDI, and (c) zeta potential (mV)
Factors DOF (f) Sum of sqrs. (SS) Variance (V) F-ratio (F) Percent P (%)
(a) Mean droplet size (nm)
Clove oil concentration (wt%) 2 127,329.1 63,670.4 10,914.7 66.2
Emulsifier concentration (wt%) 2 16,547.5 8,279.6 1,419.3 8.6
Mixed HLB number 2 26,093.6 13,052.6 2,237.5 13.5
Ultrasonication time (s) 2 22,261.8 11,136.8 1,909.1 11.6
Error 18 105.0 0.0 0.1
Total 26 192,383.7 100.0%
(b) PDI
Clove oil concentration (wt%) 2 0.016 0.008 16.224 19.612
Emulsifier concentration (wt%) 2 0.008 0.004 8.297 9.400
Mixed HLB number 2 0.024 0.012 24.896 30.784
Ultrasonication time (s) 2 0.019 0.009 19.207 23.455
Error 18 0.008 0.000 16.749
Total 26 0.077 100.00%
(c) Zeta potential (mV)
Clove oil concentration (wt%) 2 633.6 316.8 720.5 24.8
Emulsifier concentration (wt%) 2 654.4 327.2 744.3 25.7
Mixed HLB number 2 1,128.2 564.1 1,283.1 44.2
Ultrasonication time (s) 2 123.9 61.9 140.9 4.8
Error 18 7.9 0.4 0.5
Total 26 2,548.0 100.0%
0
10
20
30
40
50
60
70
Mean Droplet Size (nm) Polydispersity Index Zeta Potential (mV)
Contribution
(%)
Clove oil concentration (wt%)
Emulsifier concentration (wt%)
Mixed HLB number
Ultrasonication time (s)
Error
Fig. 4. Results of ANOVA for test series, contribution of
each factor on the performance indicators.
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and comparable to the predicted values (Table 8). The
predicted values for zeta potential, mean droplet size,
and PDI were −47.9 mV, 47.75 nm, and 0.509,
respectively. In addition, the experimental values for
zeta potential, droplet size, and PDI were −40.7 mV,
50 nm and 0.496, respectively. The finalized
formulations at optimal conditions were utilized for
MIC and MBC tests.
3.3. Validation experiment for Taguchi optimal prediction
compare to experimental data
Validation experiments are required, in order to
verify the expected results of clove oil nanoemulsion
obtained at the optimal level for processing factors. If
the observed results in the confirmation experiments
are within the confidence limit (5%), then the pro-
jected results, according to Taguchi method outputs
are acceptable. Validation experiments were per-
formed for optimum levels. The observed values of
mean droplet size (level: A3, B2, C1, and D1), PDI
(level: A1, B2, C2, and D2) and zeta potential (level:
A3, B1, C1, and D3) were 32.2 ± 2.3 nm, 0.38 ± 0.06
and −40.7 ± 2.04 mV, respectively.
The mean values of droplet size, PDI, and zeta
potential at optimum condition were projected by
Taguchi L9 OA design, as 30 nm, 0.374 and −47.9 mV,
respectively.
The data shows the determined range of desirabil-
ity of data which is about 85% confidence interval. It
can be seen that the clove oil nanoemulsion is greatly
improved at the defined levels. The zeta potential of
optimum clove nanoemulsion has suitable physical
stability of formulation.
As particles with potential higher than +30 mV
and lower than −30 mV are considered stable, the high
stability of nanoemulsions at high zeta potential value
is attributed to presence of high surface charge. It
reduces the risk of coagulation due to electrostatic
repulsion between particles bearing same electric
charges, and makes the system stable for longer time
and allows easy re-dispersion.
3.4. Bacteriostatic and bactericidal activity of optimum
formula of clove oil nanoemulsion
Clove oil nanoemulsions were slightly more potent
against E. coli compared to B. cereus. The MIC and
MBC concentrations on E. coli and B. cereus were 16,
16, 32, and 64 μg/ml, respectively. For E. coli, the
MBC and MIC values were identical, indicating that
the effect of clove oil is mainly bactericidal and not
bacteriostatic. This is due to the presence of eugenol
as organic phenolic compound found in clove oil,
which can denature proteins. Eugenol can react with
phospholipids from cell membrane, and also it
Table 6
Optimum conditions for mean droplet size, PDI and zeta potential
Factors
(a) Mean droplet size
(nm) (b) PDI (c) Zeta potential (mV)
Level Description Level Description Level Description
Clove oil concentration (wt%) 3 15 1 2.5 3 15
Emulsifier concentration (wt%) 2 5 2 5.0 1 2.5
Mixed HLB number 1 9 2 12.0 1 9
Ultrasonication time (s) 1 150 2 300 3 150
Expected result at optimum
condition
30 0.374 −47.88
Table 7
Desirability specifications for clove oil nanoemulsion
Name Goal Lower limit Upper limit
Clove oil concentration (wt%) within the range 2.5 15
Emulsifier concentration (wt%) within the range 2.5 7.5
Mixed HLB number within the range 9.0 15
Ultrasonication time (s) within the range 150 450
Mean droplet size (nm) is targeted 50 28.8 ± 1.6 310.3 ± 6.2
PDI minimize 0.38 ± 0.06 0.56 ± 0.02
Zeta Potential (mV) minimize −40.1 ± 1.04 −10.4 ± 0.21
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interacts with cell membrane permeability in a great
number of bacteria and yeasts [15,33–35]. The
antibacterial activity of clove oil in comparison to
clove oil nanoemulsion was insignificant due
instability of raw clove oil. The MICs test for E. coli
and B. cereus are shown in Fig. 5.
4. Conclusions
In this research, the processing factors for the
preparation of clove nanoemulsion were optimized.
The nanoemulsion is a biodegradable and green pesti-
cide according to intended application. Based on
Taguchi design method, the formulation of nanoemul-
sions consists of mixing three components, clove oil,
water, and two different mixed surfactants via ultra-
sonication method. The error values according to
Taguchi method for these experiments were insignifi-
cant. Hence, it was concluded that nearly all impor-
tant and effective factors were considered and that
errors in the experiments were also insignificant.
Based on targeted nanoemulsion with high degree
of stability with zeta potential below −30 mV and
lowest PDI obtained at optimum conditions a mean
droplet size of 50 nm was achieved. The high degree
of stability of nanoemulsion is secured by the value of
zeta potential lower than −30 mV and low PDI value
(sized within 50 nm).
The experiments for validation observed that mean
droplet size, PDI, and zeta potential (32.2 ± 2.3 nm,
0.38 ± 0.06 and −40.7 ± 2.04 mV, respectively), were
within the expected range of the value’s for confidence
limit, (30 nm, 0.374 and −47.9 mV, respectively).
To achieve all the properties at the same processing
condition one has to go for a desired compromise by
trading-off one of the nanopesticide properties. The
optimum formula of clove oil nanoemulsion showed
high antibacterial activity against all the tested bacteria.
The present study suggests that the clove oil nanoemul-
sion is a potential source of natural antibacterial agents
and to be used as food preservatives.
Acknowledgement
The authors would like to acknowledge the biofilm
group of Interdisciplinary Nanoscience Center
(iNANO), Aarhus University, Denmark for their
support and contribution to present work.
Table 8
Experimental and predicted optimal conditions for clove oil nanoemulsion
Factors
Mean droplet size (nm) PDI Zeta potential (mV)
A B C D
15 2.5 9 450 Predicted 47.75 0.509 −47.9
Experimental 50.43 ± 0.91 0.496 ± 0.25 −40.7 ± 2.04
0
20
40
60
80
100
120
Growth
(normalized
%)
Clove oil nanoemulsion concentration (µg/ml )
E. coli B. Cereus
Fig. 5. Normalized growth vs. clove oil nanoemulsion concentration for MIC test.
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