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Scientia

Pharmaceutica

Article

The Optimization of Gel Preparations Using the

Active Compounds of Arabica Co

ff

ee Ground

Nanoparticles

Salfauqi Nurman1,* , Ruka Yulia2, Irmayanti1, Erliza Noor3and Titi Candra Sunarti3

1 Department of Agricultural Industrial Engineering, Faculty of Agricultural Technology, Universitas Serambi

Mekkah, Banda Aceh 23245, Indonesia; [email protected]

2 Department of Food Technology, Faculty of Agricultural Technology, Universitas Serambi Mekkah, Banda

Aceh 23245, Indonesia; [email protected]

3 Department of Agricultural Industrial Technology, Faculty of Agricultural Technology, Bogor Agricultural

Institute, Bogor 16680, Indonesia; [email protected] (E.N.); [email protected] (T.C.S.)

* Correspondence: [email protected]; Tel.:+62-85374520342

Received: 27 August 2019; Accepted: 13 November 2019; Published: 19 November 2019

Abstract: Arabica coffee (Coffea arabica L.) ground nanoparticles contain phenolics compounds

that have anti-inflammatory effects, so they can be used as sources of active compounds in

anti-inflammatory gel preparations. This study aims to determine the optimum formulation of

anti-inflammatory gel preparations using Arabica coffee ground nanoparticles as active compounds.

Treatment optimization was performed using a Response Surface Methodology according to the Box-Behnken Design with a quadratic model in the Design Expert Version 10.0.3.0 software. In this study we used three factors (x): carbopol 940, triethanolamine (TEA), and nanoparticles, each of which consists of three levels, the response (y) observed including the acidity degree (pH), spreadability, viscosity and total phenolic content. ANOVA analysis results show that the quadratic model is very appropriate since it produces a high R2 value and a low PRESS value for all responses, as well as

significant p-values (<0.0500) and an insignificant lack of Fit values (p-value>5%). The optimum

formulations for the gel preparations of the Arabica coffee ground nanoparticles obtained in this

study are carbopol 940 (0.569%), TEA (0.468%), and nanoparticles (3.000%), which have values w/o an

interval (0.994) and a desirable (0.981) response to acidity (5.212), spreadability (5.850 cm), viscosity

(3734.244 cps) and total phenolic content (669.227µgGAE/g).

Keywords: formulation; Box-Behnken; nanogel

1. Introduction

Nanotechnology is a new breakthrough in the world of technology, especially in the use of

nano-sized materials [1] to produce extraordinary new properties. Nanotechnology has been widely

developed in various fields including industry, agriculture [2], packaging [3], food and beverages [4],

and health [5,6].

Nanotechnology is growing rapidly in the health sector, especially in the development of

pharmaceutical preparations and medicines [7]. Nano technology has been used in recent years to

produce nanoparticles as drug carriers [8], as well as active drug substances [9]. Nano-sized active

drugs haves the ability to pass through cell walls and membranes to reach the target cell [5,10].

In addition, nano-sized particle also have the ability to dissolve and possess a high absorption efficiency,

so materials at a nanoscale size have become very popular [6].

Arabica coffee ground nanoparticles are one example of the use of nano technology to produce

materials used as active substances in pharmaceutical preparations. Arabica coffee grounds contain

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many bioactive compounds [11], such as alkaloids, phenolics [12] (flavonoids [13] and chlorogenic

acid [14]), saponins, karatenoid [15], [16], and other active compounds [17], [18]. Arabica coffee grounds

also contain polysaccharides [19] and oil [20]. Nurman et al. [21] presented GC-MS results from

arabica coffee ground oil which showed the presence of compounds such as 1,2-benzenedicarboxylic

acid, bis (2-etylhexyl) ester (18.09%), methylcyclopentane (14.93%), linoleic acid (9.00%), pentadecylic acid (8.81%), ethyl linoleate (6.36%), 2,3-dimethylbenzofuran (1.61%), cyclohexane (1.36%), and other compounds.

The secondary metabolite content of Arabica coffee ground nanoparticles can be used as an

active ingredient in antioxidant and anti-inflammatory gel preparations [22,23]. Anti-inflammatory

gel is a semi-solid preparation (for topical use), which contains active compounds that can provide

anti-inflammatory effects [24,25]. To produce an optimal anti-inflammatory gel it is necessary

to optimize the gel preparation formula. One of optimization methods used is the Response Surface Methodology.

The Response Surface Methodology is a set of mathematical methods and statistical techniques that are used to create a model and conduct an analysis of responses influenced by several factors to optimize

the response [26]. One method for Response Surface is the Box-Behnken Design. The Box-Behnken

Design is used in experiments with three levels of factorial design [27,28].

Based on the above description, we conducted this research to determine the optimum formulation

of anti-inflammatory gel preparations using Arabica coffee ground nanoparticles as active compounds.

Treatment optimization was performed using the Response Surface Methodology, according to the Box-Behnken Design, with a quadratic model in Design Expert Version 10.0.3.0 with three factors (x) and four responses (y).

2. Materials and Methods

2.1. Tools and Materials

The tools used in this study were analytical grade, baker glass, graduated cylinders, a volume pipette, and a mortar and pestle. The instruments used were a pH meter (pHep HI 98107 by HANNA Instrument, George Washington Hwy Smithfield, RI 02917, United States), Viscometer Brookfield (Dial Reading Viscometer Brookfield, Brookfield Engineering Labs., Inc.11 Commerce

Boulevard, Middleboro, MA 02346, USA), particle size analyzer (DelsaTMNano, Beckman Coulter, Inc.

Indianapolis, IN 46268, USA), scanning electron microscope (QuantaTM650, FEI, Hillsboro, OR, USA)

and UV-Vis spectrophotometer (UV-1700 pharmaspec, Shimadzu Corporation, Kyoto, Japan). The materials used in this study were carbopol 940, methylparaben, glyserin, triethanolamine

(TEA) (Pharmaceutical Grade), aquadest and Arabica Coffee (Coffea arabicaL.) ground nanoparticles.

2.2. Research Design

Optimization of the gel formulations was performed using the Box-Behnken Design because it

can combine a 2k factorial with an incomplete blocking design [28], conducted with Software Design

Expert Version 10.0.3.0, using three factors (x) and three levels (low, medium and high) as shown

in Table1. The Response surface quadratic model is used to interpret experimental data. Therefore, it

can be obtained by the relationship between factors (x) and responses (y). The relationship between

factors and responses is given by Equation (1):

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Table 1.Design level of Arabica coffee ground nanoparticles gel formulation with three factors (x) and three levels.

Factor Parameters Levels

Low (-) Medium (0) High (+)

x1 Carbopol 940 (%) 0.50 0.75 1.00

x2 TEA (%) 0.40 0.50 0.60

x3 Nanoparticles (%) 1.50 2.25 3.00

The quadratic relationship uses a higher polynominal degree approximation function called a second-order model, as given by Equation (2):

y=β0+

k X

i=1 βixi+

k X

i=1

βiix2i +. . .+ X

i<j X

βi jxixj +ε. (2)

wherexis the independent/factors variable,yis the responses variable,εis the error responses, andβ

is the model variable.

2.3. Formulation of Gel Preparations

The carbopol 940 base was weighed and put into a beaker glass. Then, we added 100 mL of

aquadest and stirred the solution using a magnetic stirrer at 80◦C for 30 min. The expanded carbopol

base was put in a mortar, TEA, and 7.5 mL glycerin were added: they subtance was stirred evenly.

Then, 0.1 g methylparaben was added and homogenized. Finally, Arabica coffee ground nanoparticles

were added, crushed until homogeneous, and completely dispersed.

2.4. Characterization of Gel Preparations

The characterization and response (y) in the design of the experiments conducted on the gel

preparations include an acidity degree (pH) test, a spreadability test, a viscosity test, and a total phenolic test.

2.4.1. Acidity Degree (pH) Test

We weighed a sample of 10 g, dissolved in aquadest to 100 mL, and stirred evenly. Then, the pH of the solution was measured using a pH meter.

2.4.2. Spreadability Test

The gel was weighed to be as high as 0.5 g and then placed on graph paper coated with glass. Then, we put another glass above the gel mass. The gel diameter was calculated by measuring the diameter length of several sides. Then we added an additional load of 150 g, allowed the mixture to stand for 1 min, and measured the diameter of the gel as before.

2.4.3. Viscosity Test

A maximum of 100 mL of gel was put into a container, and then placed on a viscometer with spindle no. 64 installed. Then, the spindle was lowered onto the gel to the specified limit. Next, we set the speed to 0.6 rpm and used the viscosity value shown on the tool.

2.4.4. Total Phenolic Test

Gallic acid was weighed to amaximum of 125 mg. Then, 96% ethanol was added up to 25 mL

to obtain a 5000 mg/mL concentrated mother solution. From the main solution, 10 mL was pipetted

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a concentrate of 1000 mg/mL. The second mother solution was then pipetted 3, 4, 5, and 7 mL, and diluted with 96% ethanol to a volume of 10 mL. The resulting solution had concentrations of 300, 400,

500, and 700 mg/L. A total of 0.2 mL of each gallic acid solution at various concentrations was pipetted,

and then we added 15.8 mL of distilled water and 1 mL of Folin-Ciocalteu reagent: the mixture was then shaken until homogeneous. The solution was allowed to stand for 8 min, and then we added

3 mL of 20% Na2CO3solution, which was shaken homogeneously. The solution was then incubated

for 2 h at room temperature. Uptake was measured by a UV-Vis spectrophotometer at a wavelength of 725 nm.

A total of 0.3 g of gel was weighed and then dissolved to 10 mL with 96% ethanol. A total of 0.2 mL of the solution was then pipetted, and we added 15.8 mL of distilled water and 1 mL of the Folin-Ciocalteu reagent; the solution was shaken until homogeneous. The solution was allowed to

stand for 8 min, and then 3 mL of Na2CO320% of the solution was allowed to stand for 2 h at room

temperature. Uptake was measured by a UV-Vis spectrophotometer at a wavelength of 725 nm.

3. Results and Discussion

The arabica coffee ground nanoparticles used were residue from the processing of coffee drinks.

The ultrasonication process, produced 396.0 nm nanoparticles (Figure1), with 70.680% solubility

and pH 5.33. The SEM analysis results for the arabica coffee ground nanoparticles can be seen in

Figure2. The secondary metabolite content of the arabica coffee ground nanoparticles are alkaloids,

saponins, and phenolics, with a total phenolic content of 1246.897µg GAE/g. Phenolic compounds are

compounds providing antioxidant and anti-inflammatory effects [29–34]. A nano-sized active drug

has the advantage of being able to pass through cell walls and membranes to reach the target cell.

In addition, a nano-size also ensures high solubility and absorption efficiency [7,8,35].

incubated for 2 h at room temperature. Uptake was measured by a UV-Vis spectrophotometer at a wavelength of 725 nm.

A total of 0.3 g of gel was weighed and then dissolved to 10 mL with 96% ethanol. A total of 0.2 mL of the solution was then pipetted, and we added 15.8 mL of distilled water and 1 mL of the Folin-Ciocalteu reagent; the solution was shaken until homogeneous. The solution was allowed to stand for 8 min, and then 3 mL of Na2CO3 20% of the solution was allowed to stand for 2 h at room

temperature. Uptake was measured by a UV-Vis spectrophotometer at a wavelength of 725 nm.

3. Results and Discussion

The arabica coffee ground nanoparticles used were residue from the processing of coffee drinks. The ultrasonication process, produced 396.0 nm nanoparticles (Figure 1), with 70.680% solubility and pH 5.33. The SEM analysis results for the arabica coffee ground nanoparticles can be seen in Figure 2. The secondary metabolite content of the arabica coffee ground nanoparticles are alkaloids, saponins, and phenolics, with a total phenolic content of 1246.897 µ g GAE/g. Phenolic compounds are compounds providing antioxidant and anti-inflammatory effects [29–34]. A nano-sized active drug has the advantage of being able to pass through cell walls and membranes to reach the target cell. In addition, a nano-size also ensures high solubility and absorption efficiency [7,8,35].

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Sci. Pharm. 2019, 87, x FOR PEER REVIEW 5 of 17

Figure 2. Morphology SEM of Arabica coffee ground nanoparticles.

3.1. Prediction of Optimum Formulation

The optimum formulation of gel preparations using the Box-Behnken Design was performed using Design Expert Version 10.0.3.0 with three factors (x) on three levels and four responses. This analysis obtained 17 runs, as shown in Table 2. The design model used in this study was the qaudratic model because it obtained a high R2 value and a low PRESS value for all responses compared to the

linear model, the 2FI model, and the cubic model. The value of R2 was expressed in %, which showed

the contribution of the regression; The greater the value of R2, the greater the contribution or role of

factor (x) to the response (y). An R2 value above 70% is considered sufficient[28]. Even though the

cubic model has a high R2 value, it does not have a Pred-R2 value and a PRESS value, so the effect of

each variable that has a signal difference is not necessary or aliased [36]. An analysis of the variance of the designed models in this study is shown in Table 3.

Table 2. Formulation design and dan characterization results of arabica coffee ground nanoparticles gel formulation with three factors (x) and three levels.

Run

Factor 1 A: Carbopol 940

% Factor 2 B: TEA % Factor 3 C: Nanoparticles % Response 1 Acidity Degree pH Response 2 Spreadability cm Response 3 Viscosity cps Response 4 Total Phenolic µgGAE/g

1 1.00 0.50 1.50 5.67 5.27 4455.05 540.86

2 0.75 0.50 2.25 5.50 5.50 3965.05 590.17

3 1.00 0.40 2.25 5.37 5.13 4535.08 595.41

4 0.50 0.40 2.25 5.33 6.33 3523.39 602.42

5 0.50 0.50 3.00 5.20 6.03 3641.82 672.10

6 0.75 0.60 1.50 6.20 5.93 3845.48 543.83

7 0.75 0.40 1.50 5.43 6.00 3823.57 548.10

8 0.75 0.50 2.25 5.60 5.60 3942.74 601.13

9 0.75 0.50 2.25 5.60 5.63 3979.20 602.51

10 0.75 0.50 2.25 5.50 5.70 3956.10 597.44

11 0.75 0.40 3.00 5.30 5.50 4033.90 663.14

12 0.75 0.60 3.00 6.20 5.27 4027.11 657.02

13 0.50 0.50 1.50 5.33 6.43 3405.97 553.75

14 0.75 0.50 2.25 5.57 5.73 3981.97 598.54

15 1.00 0.50 3.00 5.80 5.10 4604.96 669.76

16 0.50 0.60 2.25 6.13 6.27 3532.03 593.45

17 1.00 0.60 2.25 6.47 5.20 4549.12 588.52

Table 3. Characterization for the statistical design model of arabica coffee ground nanoparticles gel formulation.

Figure 2.Morphology SEM of Arabica coffee ground nanoparticles.

3.1. Prediction of Optimum Formulation

The optimum formulation of gel preparations using the Box-Behnken Design was performed

using Design Expert Version 10.0.3.0 with three factors (x) on three levels and four responses. This

analysis obtained 17 runs, as shown in Table2. The design model used in this study was the qaudratic

model because it obtained a high R2value and a low PRESS value for all responses compared to the

linear model, the 2FI model, and the cubic model. The value of R2was expressed in %, which showed

the contribution of the regression; The greater the value of R2, the greater the contribution or role of

factor (x) to the response (y). An R2value above 70% is considered sufficient [28]. Even though the

cubic model has a high R2value, it does not have a Pred-R2value and a PRESS value, so the effect of

each variable that has a signal difference is not necessary or aliased [36]. An analysis of the variance of

the designed models in this study is shown in Table3.

3.2. Organoleptic

Organoleptic gel preparations of Arabica coffee ground nanoparticles were carried out by visually

observing their shape, color, odor, and homogeneity. Overall, the arabica coffee ground nanoparticles

gel preparations have a semisolid (gel) shape, a brownish black color (typical of coffee grounds), and

homogeneous. These physical properties were more dominant due to the active substance added:

arabica coffee ground nanoparticles.

Table 2.Formulation design and dan characterization results of arabica coffee ground nanoparticles gel formulation with three factors (x) and three levels.

Run Factor 1 A: Carbopol 940 % Factor 2 B: TEA % Factor 3 C: Nanoparticles % Response 1 Acidity Degree pH Response 2 Spreadability cm Response 3 Viscosity cps Response 4 Total Phenolic

µgGAE/g

1 1.00 0.50 1.50 5.67 5.27 4455.05 540.86

2 0.75 0.50 2.25 5.50 5.50 3965.05 590.17

3 1.00 0.40 2.25 5.37 5.13 4535.08 595.41

4 0.50 0.40 2.25 5.33 6.33 3523.39 602.42

5 0.50 0.50 3.00 5.20 6.03 3641.82 672.10

6 0.75 0.60 1.50 6.20 5.93 3845.48 543.83

7 0.75 0.40 1.50 5.43 6.00 3823.57 548.10

8 0.75 0.50 2.25 5.60 5.60 3942.74 601.13

9 0.75 0.50 2.25 5.60 5.63 3979.20 602.51

10 0.75 0.50 2.25 5.50 5.70 3956.10 597.44

11 0.75 0.40 3.00 5.30 5.50 4033.90 663.14

12 0.75 0.60 3.00 6.20 5.27 4027.11 657.02

13 0.50 0.50 1.50 5.33 6.43 3405.97 553.75

14 0.75 0.50 2.25 5.57 5.73 3981.97 598.54

15 1.00 0.50 3.00 5.80 5.10 4604.96 669.76

16 0.50 0.60 2.25 6.13 6.27 3532.03 593.45

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Table 3. Characterization for the statistical design model of arabica coffee ground nanoparticles gel formulation.

Response Source Std.Dev R-Square Adj

R-Square

Pred R-Square

Adeq

Precisior PRESS

Acidity

Degree Linear 0.180 0.8064 0.7617 0.6231 13.741 0.84

2FI 0.200 0.8264 0.7222 0.2259 9.621 1.73

Quadratic 0.092 0.9734 0.9393 0.6412 17.753 0.80

Cubic 0.051 0.9954 0.9817 - 28.653

-Spreadability Linear 0.100 0.9508 0.9395 0.9124 29.942 0.26

2FI 0.110 0.9594 0.9350 0.8551 21.849 0.42

Quadratic 0.120 0.9681 0.9270 0.6542 17.245 1.01

Cubic 0.091 0.9886 0.9542 - 16.703

-Viscosity Linear 50.380 0.9847 0.9811 0.9696 49.298 65,402.03

2FI 55.620 0.9856 0.9770 0.9332 33.755 143,700.00

Quadratic 12.600 0.9995 0.9988 0.9989 124.683 2403.64

Cubic 16.310 0.9995 0.9980 - 84.042

-Total

Phenolic Linear 7.040 0.9778 0.9727 0.9583 36.788 1214.05

Content 2FI 7.840 0.9789 0.9662 0.9107 25.565 2596.65

Quadratic 4.510 0.9951 0.9888 0.9674 37.169 948.55

Cubic 4.800 0.9968 0.9873 - 31.288

-3.3. Acidity Degree

The acidity degree (pH) is a very important parameter in gel preparations since gel is a topical preparation used on the skin. Therefore, gel preparations must have a pH similar to that of human

skin (4.5–6.5) [37] to avoid irritation or erythema on the skin. This test shows that the pH of the gel

preparation ranges from 5.20 to 6.47, which is still in the human skin’s pH range (Table2).

The quadratic design model has a significant effect on the acidity degree of gel preparations, with

a p-value of 0.0001 (less than 0.0500), as shown in Table4. Significant factors on acidity are A, B, and

B2because they have p-values, respectively, of 0.0016;<0.0001, and 0.0005. The insignificance of the

“lack of fit” with an F-value of 6.41 and a p-value of 5.23%, indicates that the quadratic design model is appropriate for analyzing the acidity test data, but this model has a low probability because its p-value

is less than 10%. The relationship between the degree of acidity of the gel preparation with a factor (x)

based on the coefficient value can be seen in Equation (3).

y=5.55+0.16A+0.45B−0.017C+0.075AB+0.067AC+0.033BC5.833E-003A2+0.28B2−0.048C2 (3)

The degree of acidity increases with an increasing concentration of TEA used in accordance with

a p-value of<0.0001, as shown in Figure3. TEA is difficult to evaporate at room temperature, has an

ammonia odor, and can form a solid or liquid depending on its temperature and the value of its purity. Its relatively basic nature means that a TEA with a pH of 10.5 can be used as a basic agent and also as

an emulsifying agent [38]. However carbopol 940 has a pH of 7.7 and a nanoparticle has a pH of 5.33,

which does not have a significant effect on the acidity level of the arabica coffee ground nanoparticles

gel preparations.

3.4. Spreadibility

The spreadability of gel preparations is defined as the ability of the gel to be spread on the surface

of the skin [39]. The greater the scatter diameter, the greater the surface area that can be reached by

the gel. Good spreadability can guarantee the distribution of a gel when applied to the skin, good

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gel preparations reveal a value between 5.10–6.43 cm (Table2), which indicates that the gel has a good spreadability.

Table 4. ANOVA analysis for the quadratic model of the acidity degree of arabica coffee ground nanoparticles gel preparations.

Source Sum of Squares df Mean Square F Value p-Value Prob>F Characterization

Model 2.18 9 0.24 28.52 0.0001 significant

A-Carbopol 940 0.21 1 0.21 24.90 0.0016

B-TEA 1.59 1 1.59 187.43 <0.0001

C-Nanopartikel 2.222×103

1 2.222×103

0.26 0.6245

AB 0.022 1 0.022 2.65 0.1474

AC 0.018 1 0.018 2.10 0.1910

BC 4.444×10−3 1 4.444×10−3 0.52 0.4927

A2 1.433×104

1 1.433×104

0.017 0.9003

B2 0.32 1 0.32 38.22 0.0005

C2 9.500×103

1 9.500×103

1.12 0.3251

Residual 0.059 7 8.484×103

Lack of Fit 0.049 3 0.016 6.41 0.0523 not significant

Pure Error 0.010 4 2.556×103

Cor Total 2.24 16

The results of the ANOVA analysis for the quadratic model of the spreadability of the arabica

coffee ground nanoparticles gel preparations are shown in Table5. This model shows significant

results, with a p-value of 0.0002. Significant factors for spreadability are A and C, with p-values of

<0.0001 and 0.0011, respectively. The “lack of fit” value is not significant, with an F-value of 2.39 and a

p-value of 20.96%. This result shows that the quadratic design model is very appropriate for analyzing the spreadability test data. The interactions between the gel dispersion power and the factor (x) can be

seen by the coefficent value, as shown in Equation (4).

y=5.63−0.55A0.037B0.22C+0.033AB+0.058AC0.042BC+0.067A2+0.033B2+8.333E-003C2 (4)

Table 5. ANOVA analysis for the quadratic model of the spreadability of the arabica coffee ground nanoparticles gel preparations.

Source Sum of Squares df Mean Square F Value p-Value Prob>F Characterization

Model 2.82 9 0.31 23.57 0.0002 significant

A-Carbopol 940 2.38 1 2.38 179.29 <0.0001

B-TEA 0.011 1 0.011 0.85 0.3882

C-Nanoparticles 0.38 1 0.38 28.25 0.0011

AB 4.444×10−3 1 4.444×10−3 0.33 0.5812

AC 0.014 1 0.014 1.02 0.3453

BC 6.944×103

1 6.944×103

0.52 0.4933

A2 0.019 1 0.019 1.41 0.2741

B2 4.678×103

1 4.678×103

0.35 0.5717

C2 2.924×104

1 2.924×104

0.022 0.8863

Residual 0.093 7 0.013

Lack of Fit 0.060 3 0.020 2.39 0.2096 not significant

Pure Error 0.033 4 8.333×10−3

Cor Total 2.91 16

Carbopol 940, used as a thickener, surfactant, stabilizer, or thickener [38], plays an important role

in determining the spreadability of the gel preparations [37]. This effect is clearly seen in the results of

the ANOVA analysis and the 3D plots in Figure4. From the picture, it can be seen that carbopol 940 has

an effect on spreadability. The greater the concentration of carbopol 940, the smaller the spreadability

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Figure 3. A 3D plot of the relationship between (a) carbopol 940 and TEA and the acidity degree, (b) TEA and nanoparticles and the acidity degree, and (c) carbopol 940 and nanoparticles and the acidity degree.

3.3. Spreadibility

The spreadability of gel preparations is defined as the ability of the gel to be spread on the surface of the skin [39]. The greater the scatter diameter, the greater the surface area that can be

Design-Expert® Software Factor Coding: Actual Acidity Degree (pH)

Design points above predicted value

Design points below predicted value

6,46667

5,2 X1 = A: Carbopol 940 X2 = B: TEA Actual Factor C: Nanoparticles = 2,25

0,40 0,45 0,50 0,55 0,60 0,50 0,60 0,70 0,80 0,90 1,00 5,2 5,4 5,6 5,8 6 6,2 6,4 6,6 A ci di ty D egr ee ( pH )

A: Carbopol 940 (%) B: TEA (%)

Design-Expert® Software Factor Coding: Actual Acidity Degree (pH)

Design points above predicted value

Design points below predicted value

6,46667

5,2 X1 = B: TEA X2 = C: Nanoparticles Actual Factor A: Carbopol 940 = 0,75

1,50 1,80 2,10 2,40 2,70 3,00 0,40 0,45 0,50 0,55 0,60 5,2 5,4 5,6 5,8 6 6,2 6,4 6,6 A ci dit y De gr ee (p H)

B: TEA (%) C: Nanoparticles (%)

Design-Expert® Software Factor Coding: Actual Acidity Degree (pH)

Design points above predicted value

Design points below predicted value

6,46667

5,2 X1 = A: Carbopol 940 X2 = C: Nanoparticles Actual Factor B: TEA = 0,50

1,50 1,80 2,10 2,40 2,70 3,00 0,50 0,60 0,70 0,80 0,90 1,00 5,2 5,4 5,6 5,8 6 6,2 6,4 6,6 A cid ity D eg re e ( p H )

A: Carbopol 940 (%)

C: Nanoparticles (%)

(

a

)

(

b

)

(

c

)

Figure 3. A 3D plot of the relationship between (a) carbopol 940 and TEA and the acidity degree,

(b) TEA and nanoparticles and the acidity degree, and (c) carbopol 940 and nanoparticles and the

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Figure 4. 3D plot of the relationship between (a) carbopol 940 and TEA and the spreadability, (b) carbopol 940 and nanoparticles and the spreadability, and (c) TEA and nanoparticles and the spreadability.

3.5. Viscosity

Design-Expert® Software Factor Coding: Actual Spreadability (cm)

Design points above predicted value

Design points below predicted value

6,43

5,10

X1 = A: Carbopol 940 X2 = B: TEA

Actual Factor C: Nanoparticles = 2,25

0,40 0,45 0,50 0,55 0,60 0,50 0,60 0,70 0,80 0,90 1,00 5,00 5,20 5,40 5,60 5,80 6,00 6,20 6,40 6,60 S p re ada bil ity ( cm )

A: Carbopol 940 (%) B: TEA (%)

Design-Expert® Software Factor Coding: Actual Spreadability (cm)

Design points above predicted value

Design points below predicted value

6,43

5,10 X1 = A: Carbopol 940 X2 = C: Nanoparticles Actual Factor B: TEA = 0,50

1,50 1,80 2,10 2,40 2,70 3,00 0,50 0,60 0,70 0,80 0,90 1,00 5,00 5,20 5,40 5,60 5,80 6,00 6,20 6,40 6,60 S p re a d a b ili ty (c m )

A: Carbopol 940 (%) C: Nanoparticles (%)

Design-Expert® Software Factor Coding: Actual Spreadability (cm)

Design points above predicted value

Design points below predicted value

6,43

5,10

X1 = B: TEA X2 = C: Nanoparticles

Actual Factor A: Carbopol 940 = 0,75

1,50 1,80 2,10 2,40 2,70 3,00 0,40 0,45 0,50 0,55 0,60 5,00 5,20 5,40 5,60 5,80 6,00 6,20 6,40 6,60 S p read abilit y ( cm )

B: TEA (%) C: Nanoparticles (%)

(

c

)

(

b

)

(

a

)

Figure 4.3D plot of the relationship between (a) carbopol 940 and TEA and the spreadability, (b) carbopol

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3.5. Viscosity

Viscosity is a measure of the thickness of a fluid; gel preparation refers to fluids that have high

a viscosity of 2000–4000 cps [39]. The viscosity test results for the gel preparations ranged from

3405.97–4604.96 cps (Table2). Viscosity is inversely proportional to spreadability; the greater the

viscosity, the smaller the spreadability.

Table6shows the ANOVA analysis for the quadratic model of the viscosity of the arabica coffee

ground nanoparticles gel preparations. The model shows significant results, with p-values<0.0001.

The significant factors on viscosity are A, C, AC, A2, and C2, with p-values of<0.0001,<0.0001, 0.0113,

<0.0001, and 0.0132. The “lack of fit” value shows insignificant results, with an F-value of 0.058 and

p-value of 97.93%. These results demonstrate that the quadratic design model is very appropriate for the analysis of the viscosity test data. The interaction between the viscosity of the gel preparation and

factor (x) can be seen from the coefficient value, as shown in Equation (5).

y=3965.01+505.12A+4.73B+97.22C+1.35AB−21.48AC7.17BC+82.16A2−12.27B2−20.23C2 (5)

Table 6.ANOVA analysis of quadratic model for the viscosity of the arabica coffee ground nanoparticles gel preparations.

Source Sum of Squares df Mean Square F Value p-Value Prob>F Characterization

Model 2.149×106 9 2.388×105 1504.50 <0.0001 significant

A-Carbopol 940 2.041×106 1 2.041×106 12,862.08 <0.0001

B-TEA 178.67 1 178.67 1.13 0.3239

C-Nanopartikel 75,606.37 1 75,606.37 476.41 <0.0001

AB 7.28 1 7.28 0.046 0.8365

AC 1846.35 1 1846.35 11.63 0.0113

BC 205.87 1 205.87 1.30 0.2922

A2 28,424.39 1 28,424.39 179.11 <0.0001

B2 634.39 1 634.39 4.00 0.0857

C2 1722.34 1 1722.34 10.85 0.0132

Residual 1110.90 7 158.70

Lack of Fit 46.26 3 15.42 0.058 0.9793 not significant

Pure Error 1064.64 4 266.16

Cor Total 2.150×106 16

Viscosity increases by increasing the concentrations of carbopol 940 and arabica coffee ground

nanoparticles; However, increasing the TEA did not affect the viscosity of the gel preparations, as

seen in the 3D plot (Figure5). These results is consistent with the results of the ANOVA analysis,

which showed that carbopol 940 and the nanoparticles had a significant effect on gel viscosity, with

an indigo p-value<0.0001. Carbopol 940 is a synthetic polymer of acrylic acid, which is hygroscopic,

slightly acidic and very easily ionized. Carbopol 940 used as a gelling agent plays an important role

in regulating the viscosity of the gel preparations [38]. In acidic solutions (pH 3.5–4.0), the carbopol

940 dispersion shows low to medium viscosity, pH 5.0–10.0, and at temperatures above 75◦C, shows

(11)

Figure 5. A 3D plot of the relationship between (a) carbopol 940 and TEA and the viscosity, (b) carbopol 940 and nanoparticles and the viscosity, and (c) TEA and nanoparticles and the viscosity.

3.6. Total Phenolic

The total phenolic test used UV-Vis spectrophotometry at a wavelength of 725 nm. The total phenolic content was expressed as its gallic acid equivalent (GAE). The GAE is a reference for the

Design-Expert® Software Factor Coding: Actual Viscosity (cps)

Design points above predicted value

Design points below predicted value

4604,96

3405,97 X1 = A: Carbopol 940 X2 = B: TEA Actual Factor C: Nanoparticles = 2,25

0,40 0,45 0,50 0,55 0,60 0,50 0,60 0,70 0,80 0,90 1,00 3400,00 3600,00 3800,00 4000,00 4200,00 4400,00 4600,00 4800,00 V isc o si ty ( cp s)

A: Carbopol 940 (%) B: TEA (%)

Design-Expert® Software Factor Coding: Actual Viscosity (cps)

Design points above predicted value

Design points below predicted value

4604,96

3405,97 X1 = A: Carbopol 940 X2 = C: Nanoparticles Actual Factor B: TEA = 0,50

1,50 1,80 2,10 2,40 2,70 3,00 0,50 0,60 0,70 0,80 0,90 1,00 3000,00 3500,00 4000,00 4500,00 5000,00 V is cos ity ( cps )

A: Carbopol 940 (%) C: Nanoparticles (%)

Design-Expert® Software Factor Coding: Actual Viscosity (cps)

Design points above predicted value

Design points below predicted value

4604,96

3405,97 X1 = B: TEA X2 = C: Nanoparticles Actual Factor A: Carbopol 940 = 0,75

1,50 1,80 2,10 2,40 2,70 3,00 0,40 0,45 0,50 0,55 0,60 3000,00 3500,00 4000,00 4500,00 5000,00 V isco si ty (cp s)

B: TEA (%) C: Nanoparticles (%)

(

b

)

(

c

)

(

a

)

Figure 5.A 3D plot of the relationship between (a) carbopol 940 and TEA and the viscosity, (b) carbopol

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3.6. Total Phenolic

The total phenolic test used UV-Vis spectrophotometry at a wavelength of 725 nm. The total phenolic content was expressed as its gallic acid equivalent (GAE). The GAE is a reference for the total

phenolic analysis contained in a phenolic substance [40]. Arabica coffee ground nanoparticles have a

phenolic content of 1246.897µg GAE/g. The phenolic compounds in coffee have some bioactivities, such

as antioxidant, antibacterial and anti-inflammatory activities [29,30,32,33,41–43]. The total phenolic

dosage of the coffee ground nanoparticles gel preparations ranged from 540.86 to 672.10µg GAE/g

(Table2).

The ANOVA analysis for the quadratic model of the total phenolic content of the arabica coffee

ground nanoparticles gel preparations is shown in Table7. The analysis shows that the quadratic

model is appropriate for the analysis of the total phenolic test data, with a p-value<0.0001 (significant).

Significance factors for the total phenolic content were C and C2, with p-values<0.0001 and 0.0032.

The “lack of fit” is not significant, with an F-value of 0.73 and a p-value of 58.62%. The interaction

between the total phenolic gel preparation with a factor (x) can be seen from the coefficient value, as

shown in Equation (6).

Table 7.ANOVA analysis for the quadratic model of the total phenolic content of the arabica coffee ground nanoparticles gel preparations.

Source Sum of Squares df Mean Square F Value p-Value Prob>F Characterization

Model 28,940.33 9 3215.59 158.15 <0.0001 significant

A-Carbopol 940 92.27 1 92.27 4.54 0.0706

B-TEA 86.11 1 86.11 4.24 0.0786

C-Nanopartikel 28,259.62 1 28,259.62 1389.87 <0.0001

AB 1.09 1 1.09 0.054 0.8233

AC 27.78 1 27.78 1.37 0.2807

BC 0.84 1 0.84 0.042 0.8443

A2 10.02 1 10.02 0.49 0.5053

B2 87.24 1 87.24 4.29 0.0771

C2 389.40 1 389.40 19.15 0.0032

Residual 142.33 7 20.33

Lack of Fit 50.30 3 16.77 0.73 0.5862 not significant

Pure Error 92.03 4 23.01

Cor Total 29,082.65 16

Figure6shows the relationship between the factors and the total phenolic content of arabica coffee

ground nanoparticles gel preparations. The figure shows that an increase in the total phenolic content

is influenced by the concentration of nanoparticles, whereas carbopol 940 and TEA have no effect on

total phenolic content. This result is consistent with the p-value in the ANOVA analysis.

y=597.96−3.40A3.28B+59.43C+0.52AB+2.64AC0.46BC+1.54A2−4.55B2+9.62C2 (6)

3.7. Optimization of Gel Preparations

The optimization results using the Box-Behnken Design provides 17 formulation solutions for

arabica coffee ground nanoparticles gel formulations that can be selected to produce the optimal

response shown in Table8. Solution number 8 was chosen as the prediction for the optimum conditions

because it has a high value w/o interval (0.994) and a high desirability (0.981). Other solutions,

though they have the same w/o interval and desirability values, they produced lower total phenolic

content. Therefore, the optimum arabica coffee ground nanoparticles gel formulations are carbopol

940 (0.569%), TEA (0.468%), and nanoparticles (3.000%) that produce a response in the acidity degree

(13)

Figure 6. A 3D plot of the relationship between (a) carbopol 940 and TEA and the total phenolic content, (b) carbopol 940 and nanoparticles and the total phenolic content, and (c) TEA and nanoparticles and the total phenolic content.

3.7. Optimization of Gel Preparations

The optimization results using the Box-Behnken Design provides 17 formulation solutions for arabica coffee ground nanoparticles gel formulations that can be selected to produce the optimal

Design-Expert® Software Factor Coding: Actual Total Phenolic (mgGAE/g)

Design points above predicted value

Design points below predicted value

672,10

540,86 X1 = A: Carbopol 940 X2 = B: TEA Actual Factor C: Nanoparticles = 2,25

0,40 0,45 0,50 0,55 0,60 0,50 0,60 0,70 0,80 0,90 1,00 540,00 560,00 580,00 600,00 620,00 640,00 660,00 680,00 To ta l P he no lic ( m gG A E /g )

A: Carbopol 940 (%) B: TEA (%)

Design-Expert® Software Factor Coding: Actual Total Phenolic (mgGAE/g)

Design points above predicted value

Design points below predicted value

672,10

540,86 X1 = A: Carbopol 940 X2 = C: Nanoparticles Actual Factor B: TEA = 0,50

1,50 1,80 2,10 2,40 2,70 3,00 0,50 0,60 0,70 0,80 0,90 1,00 540,00 560,00 580,00 600,00 620,00 640,00 660,00 680,00 T ot al P hen ol ic ( m gG A E /g )

A: Carbopol 940 (%) C: Nanoparticles (%)

Design-Expert® Software Factor Coding: Actual Total Phenolic (mgGAE/g)

Design points above predicted value

Design points below predicted value

672,10

540,86 X1 = B: TEA X2 = C: Nanoparticles Actual Factor A: Carbopol 940 = 0,75

1,50 1,80 2,10 2,40 2,70 3,00 0,40 0,45 0,50 0,55 0,60 540,00 560,00 580,00 600,00 620,00 640,00 660,00 680,00 To ta l P he no lic ( m gG A E /g )

B: TEA (%) C: Nanoparticles (%)

(

c

)

(

b

)

(

a

)

Figure 6.A 3D plot of the relationship between (a) carbopol 940 and TEA and the total phenolic content,

(b) carbopol 940 and nanoparticles and the total phenolic content, and (c) TEA and nanoparticles and

(14)

Table 8.The solution of optimum formulation arabica coffee ground nanoparticles gel preparations.

No Carbopol 940 TEA Nanoparticles Acidity Degree Spreadability Viscosity Total Phenolic Desirability w/o Intervals

1 0.577 0.467 3.000 5.216 5.831 3746.158 669.138 0.981 0.993 2 0.575 0.468 3.000 5.217 5.826 3743.249 669.151 0.981 0.994 3 0.580 0.467 3.000 5.220 5.836 3750.518 669.098 0.981 0.993 4 0.577 0.468 3.000 5.219 5.840 3745.906 669.128 0.981 0.993 5 0.584 0.467 3.000 5.224 5.839 3757.318 669.044 0.981 0.993 6 0.582 0.466 3.000 5.220 5.832 3754.542 669.075 0.981 0.993 7 0.578 0.466 3.000 5.214 5.811 3747.527 669.138 0.981 0.993 8 0.569 0.468 3.000 5.212 5.850 3734.244 669.227 0.981 0.994 9 0.587 0.466 3.000 5.223 5.817 3760.642 669.027 0.981 0.993 10 0.582 0.470 3.000 5.228 5.805 3753.348 669.046 0.981 0.993 11 0.584 0.465 3.000 5.218 5.788 3756.707 669.069 0.981 0.993 12 0.591 0.467 3.000 5.229 5.792 3767.803 668.965 0.981 0.993 13 0.579 0.464 3.000 5.211 5.875 3749.066 669.142 0.981 0.993 14 0.599 0.467 3.000 5.235 5.853 3779.763 668.878 0.981 0.993 15 0.574 0.473 3.000 5.229 5.885 3741.851 669.094 0.981 0.993 16 0.578 0.474 3.000 5.236 5.772 3748.470 669.020 0.980 0.993 17 0.549 0.468 3.000 5.194 5.888 3705.619 669.495 0.980 0.994

4. Conclusions

Arabica coffee (Coffea arabicaL.) ground nanoparticles can be used as a source of active compounds

in anti-inflammatory gel preparations since it has a high total phenolic content. The quadratic model

in the Box-Behnken Design was used to produce the optimum formulation of an arabica coffee ground

nanoparticles gel, with a composition of: carbopol 940 (0.569%), TEA (0.468%), and nanoparticles (3.000%), which produce an acidity degree of (5.212), a spreadability of (5.850 cm), viscosity of (3734.244

cps), and total phenolic content of (669.227µg GAE/g).

Author Contributions:Conceptualization, S.N.; Methodology, R.Y.; Project administration, I.; Supervision, E.N. and T.C.S.

Funding:This study has been financially supported by the Directorate of Research and Community Services Directorate General of Strengthening Research and Development, Ministry of Research, Technology and Higher

Education, No. 235/SP2H/LT/DRPM/2019.

Conflicts of Interest:The authors declare no conflict of interest.

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©2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access

article distributed under the terms and conditions of the Creative Commons Attribution

Figure

Table 1. Design level of Arabica coffee ground nanoparticles gel formulation with three factors (x) andthree levels.
Figure 1. Figure 1.Particle size analysis graphics of arabica coffee ground nanoparticles
Figure 2. Figure 2.Morphology SEM of Arabica coffee ground nanoparticles.  Morphology SEM of Arabica coffee ground nanoparticles.
Table 3. Characterization for the statistical design model of arabica coffee ground nanoparticlesgel formulation.
+7

References

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