Microencapsulation of Pequi pulp oil by complex coacervation/Microencapsulacao de oleo da polpa de Pequi por coacervacao complexa.
The Cerrado Biome corresponds to 24% of the Brazilian territory, concentrating one third of the national biodiversity and 5% of the world's flora and fauna. Pequi (Caryocar brasiliense) stands out among the native fruits of the Cerrado due to its great economic value and important nutritional source, being widely used in the cuisine of the Midwestern region, especially in the state of Goias. Pequi pulp is rich in carotenoids, phenolic compounds and unsaturated fatty acids, with predominance of oleic and palmitic acids (LIMA et al., 2007; BARRA et al., 2013).
Carotenoids are natural antioxidants that can prevent or reduce oxidative damage, since they have the capacity to react with free radicals, presenting beneficial properties to health, acting mainly in the prevention of carcinomas, cardiovascular, ophthalmological, pulmonary diseases and neurodegenerative disorders (RAO et al., 2007; LIMA et al., 2012; ALOS et al., 2016). However, carotenoids are sensitive to adverse environmental conditions such as heat, light and oxygen (SANTANA et al., 2013), which accelerate their degradation, requiring the use of adequate techniques to preserve the bioactive action of these constituents. The effects of the deterioration of these compounds can be minimized by the microencapsulation process.
Microencapsulation provides protection to the encapsulated material, masking flavors and odors, offering the possibility of controlled release of contents with increased stability (AHN et al, 2008; AUGUSTIN et al, 2009). In this method, it is essential to choose the correct wall material. The main biopolymers used are polysaccharides (starch, maltodextrin, gum arabic, alginate, chitosan, carrageenan) and proteins (gelatin, casein, soy, wheat) (GIBBS et al., 1999; MARTINS et al., 2014).
Among the techniques used for microencapsulation, complex coacervation has been the most applied method in lipophilic substances. The process consists of the spontaneous separation of phases that occurs when oppositely charged polyelectrolytes (protein and polysaccharide) are mixed in a single aqueous medium and are influenced by pH, ionic and electrostatic force (DUCEL et al., 2004; COMUNIAN et al., 2016).
Recent scientific studies have shown the importance and the effect of microencapsulation by complex coacervation on the controlled availability of propolis extract (NORI et al., 2011) and oral drug celecoxib (CHENG et al., 2010). The stability of lutein and ascorbic acid was studied by Qv et al. (2011) and Comunian et al. (2013). Microencapsulation can be used in the preservation of pigments such as turmeric (ZUANON et al., 2013; WANG et al., 2012), in the retention of flavor and aroma of orange essential oil (JUN-CHIA et al., 2011) and xylitol (SANTOS et al., 2015). The conservation of carotenoids from cerrado fruits was studied by LESCANO et al. (2014) and Lima (2014).
In this context, the aim of this work was to evaluate carotenoid retention of microcapsules produced from pequi oil by the complex coacervation technique.
Material and Methods
Pequi (Caryocar brasiliense) was purchased in Campo Grande (MS), latitude 20[degrees]2634 and longitude 54[degrees]3847, 532 m above sea level, during the period of December / January 2015 and 2016. Fruits were selected, sanitized, peeled and manually pulped with the aid of stainless steel knives. Pulp was dehydrated at 50[degrees]C in dehydrator with air velocity of 0.5m / s for 24 hours. Oil was extracted from the dehydrated pulp by pressing at room temperature in an expeller type press. The oil obtained was centrifuged at 1500 rpm for 15 minutes to remove impurities.
For the microencapsulation process, gelatin (Fluka), Arabic gum (Vetec) and hydrochloric acid (Vetec) were used. Analytical grade P.A. reagents were used for analyses.
Pequi pulp oil microcapsules were prepared by the complex coacervation method in aqueous medium according to procedure described by Alvim et al. (2010) with modifications, obtaining a fine and stable emulsion of the core (oil) in the wall material solution. For this, an oil aliquot (3.3g to 11.7g) was mixed with 100mL of gelatin solution (2.5%), which was previously hydrated and heated (33.2[degrees]C to 66.8[degrees]C). The mixture was homogenized on ultra-high speed stirrer at controlled speed (6,600rpm at 23,400rpm) for one minute. Then, 100mL of Arabic gum solution (2.5%) and 400mL of deionized water were added, both heated to the same temperature as the previous mixture. After this step, the suspension pH was adjusted with HCl solution (0.1M) until it reached pH 4. The material was then cooled in an ice bath, under constant stirring until it reached 10[degrees]C, then it remained at rest, and the encapsulated particles as a fine emulsion were obtained by decantation, which was maintained at 8[degrees]C for 16 hours.
Optimization of the microencapsulation process
Experiments were carried out according to a 23 central composite rotational design (CCRD) to investigate the effects of three independent variables (temperature, homogenization velocity and filling) on the efficiency and yield of microencapsulation and carotenoid retention in microparticles. Table 1 shows the levels used in the experimental design. The design consisted of 20 experiments including 6 replicates of the central point as shown in Table 1.
Experimental data were fitted to a second-order polynomial equation. Equation 1.
[mathematical expression not reproducible]
Where y is the response (dependent variable); [b.sub.0] is the regression constant; [b.sub.1], [b.sub.2] and [b.sub.3] the regression coefficient for the linear term; [b.sub.11], [b.sub.22] and [b.sub.33] the quadratic regression coefficient; [b.sub.12] and [b.sub.13], [b.sub.23] the interaction coefficient of the terms and [x.sub.1], [x.sub.2] and [x.sub.3] represent the values of independent variables (temperature, velocity and filling, respectively).
The yield of microcapsules was calculated from the separation of phases obtained in the microencapsulation (supernatant and sediment). After resting for 16 hours, microcapsules were centrifuged at 1,500 rpm and the supernatant collected and screened in 0.075mm mesh for complete separation of the supernatant and sediment (wet microcapsules). Sedimented microcapsules were weighed and the moisture content was determined (AOAC, 2000) to calculate the yield by Equation 2.
[mathematical expression not reproducible]
Where R is the yield of microcapsules (%), [MS.sub.dry] basis is the amount of sedimented microcapsule (g) and [MTI.sub.dry basis] the initial theoretical mass consisting of Arabic gum + gelatin + oil (g).
The encapsulation efficiency was calculated from the amount of oil present in one gram of microcapsule (dry basis) in relation to the amount of oil initially inserted in the microencapsulation process by Equation 3 (BUENO et al., 2011).
E(%) = OEM/OIM x 100
Where E is the encapsulation efficiency (%), OEM is the amount of oil extracted from microcapsules (g) and OIM is the initial amount of oil used in the production of microcapsules (g).
Total carotenoids were quantified in the pequi pulp oil and in wet microcapsules according to methodology described by Rodriguez-Amaya (2001) based on extraction with acetone and separation in petroleum ether. Samples (2.0g) were macerated with 0.5g of celite, and sufficient amount of acetone at 10[degrees]C until carotenoids were completely extracted in mortar. The extract obtained was vacuum filtered and transferred to a separatory funnel containing 40mL of petroleum ether. Distilled water was incorporated into the mixture giving two phases: (carotenoids + petroleum ether and water + acetone). Acetone was removed from the mixture with water. The extract (carotenoids + petroleum ether) was transferred to a 50mL volumetric flask and the volume filled with petroleum ether. The solution absorbance was determined in a UV-VIS spectrophotometer (Biochrom, model Libra S60PC) at 450 nm and petroleum ether used as white. Equation 4 informs the percentage of carotenoids in 1g of sample.
C([micro]g/g) = [[lambda].sub.max] x d x [10.sup.4]/[epsilon] x m
Where [lambda]max is the maximum absorbance (nm), d the sample dilution (ml), s is the absorption coefficient of [beta]-carotene in petroleum ether (2592) and m the sample mass (g).
Size and distribution of microcapsules
An optical microscope coupled to a photographic camera (Nikon Eclipse - 200) was used to verify the formation of microcapsules. An aliquot of microcapsules was diluted in distilled water and the suspension was evaluated. Two hundred microcapsules were analyzed for each sample. The size was determined from images obtained by the Image Pro Plus 4.0 software.
Experiments were carried out according to the central composite rotational design in triplicate. Differences between mean values were determined by the analysis of variance (ANOVA) and the comparison of means by the Tukey's test (p<0.05) using the Statistica 7.0 program (SAS INSTITUTE, 2004).
Results and discussion
The yield values of the process, microencapsulation efficiency and carotenoid retention in microcapsules are shown in Table 2. The values obtained for the yield of microcapsule formation in treatments varied from 67.07% to 97.07% according to the conditions applied (Table 2).
These values were similar to those obtained by Siow et al. (2013) in microencapsulation by complex coacervation of garlic oil using gelatin and Arabic gum as encapsulating agents. According to the authors, this result may be related to the proportion of encapsulating agents used in the process. When one of the colloids (gum or gelatin) is in excess in the system, the presence of unneutralized charges will reduce the attraction between the two colloids, thereby reducing the yield of coacervates.
Yield indicates that the interaction of encapsulating agents (Arabic gum + gelatin) was effective in the formation of microcapsules. The highest yield was obtained in center point assays, that is, in the process condition carried out at 50[degrees]C with stirring at 15,000rpm and 7.5g of filling (pequi oil), obtaining on average 96.71%. These results show the influence of temperature, homogenization velocity and filling in the formation of pequi oil microcapsules.
Table 3 shows the regression coefficients, the F value and the determination coefficient ([R.sup.2]) for the yield. Considering the estimates of each parameter, the second-order model was predictive (Equation 5) with determination coefficient ([R.sup.2]) of 98%. The results of the statistical analysis are also presented by the Pareto graph (Figure 1), where the quadratic terms of temperature, filling and velocity and linear term of the filling, as well as the linear velocity-filling and temperature-velocity interaction were significant (p [less than or equal to] 0.05).
[mathematical expression not reproducible]
However, the formation of microcapsules does not necessarily mean that they present the core filled of the substance to be encapsulated, so the encapsulation efficiency must be considered.
The encapsulation efficiency corroborated the yield, presenting values between 66.58 and 96.86% (Table 2). According to Assis et al. (2012) and Bakry et al. (2016), coacervation is a technique that has high encapsulation efficiency (up to 99%). Prata et al. (2015) obtained 91.8% efficiency in the microencapsulation of vetiver essential oil using gelatin and Arabic gum as encapsulants and Santos et al. (2015) in the microencapsulation of xylitol, obtaining efficiency from 31.42 to 62.94% with the same agents used in this study.
Variation in efficiency can be attributed to the active-material ratio, according to Zuanon et al. (2013), smaller amounts of filling increase the possibility of polymers covering the drop of the material, allowing greater efficiency. In this study, the influence of the three independent variables presented values of approximately 97% in central point assays (50[degrees]C, 15,000rpm and 7.5g of filling).
The microencapsulation efficiency was influenced by the quadratic model of temperature, velocity and filling (Table 4), as well as the interaction of the temperature-velocity and velocity-filling linear term. The efficiency model (E) presented good fit to experimental data. Considering the significant coefficients, the predictive model was obtained with adjustment of 98% (Equation 6).
[mathematical expression not reproducible]
Figure 2 presents the experimental results and those predicted by the adjusted model, showing good agreement among them as expected by the results of the analysis of variance (Table 4).
Carotenoid retention in wet microcapsules ranged from 21.74 to 192.15 [micro]g/gms according to Table 2. The carotenoid content in the crude pequi oil was 333.03 [micro]g/gms. Considering the oil encapsulation efficiency, it could be verified that there was degradation of carotenoids from 3.86% to 89.77%. The lowest retention values were verified for assays that presented higher homogenization velocity, probably due to the direct exposure to oxygen during the emulsion formation caused by the high velocity, which causes the oxidation of this biocomposite.
The regression analysis of results (Table 5) shows that all variables studied (temperature, homogenization velocity and filling) were significant (p [less than or equal to] 0.05), generating the predictive model for carotenoids (Car) presented in (Equation 7). The model adjusted to experimental data with determination coefficient (R2) of 98%.
[mathematical expression not reproducible]
The response surface and the contour chart of carotenoid retention in microparticles are shown in Figure 3 (a, b). By the surface analysis of response generated by the model, it was verified that higher carotenoid retentions were observed at temperature between 35[degrees]C and 65[degrees]C together with homogenization velocity between 10.000rpm and 20.000rpm. Conditions similar to this study were presented by Lescano et al. (2014) in the microencapsulation of "bocaiuva" oil using the same encapsulating agents. According to the author, high temperatures and the incorporation of air during the stirring process contribute to the degradation of carotenoids. In another study, Qv et al. (2011) observed that increasing the temperature in the encapsulation process reduced the rate of lutein retention in microcapsules formed with gelatin and Arabic gum, corroborating the present study.
The region of highest carotenoid retention (Figure 3a, b) is located at the central point of the design, where the process conditions were 50[degrees]C, 15,000rpm and 7.5g of filling, observed on the response surface and on the contour graph of by the red color intensity.
The size of wet microcapsules containing pequi oil is shown in Figure 4. An asymmetric particle size distribution is observed. The diameter of microcapsules ranged from 15 to 145 [micro]m, and 71.06% of microcapsules had size between 15 and 34 [micro]m. According to Favaro-Trindade et al. (2008) the expected values for microcapsules obtained by complex coacervation range from 1 to 500 [micro]m.
Diameters of (50-100 [micro]m) and (45.3-296.5 [micro]m) were observed in the microencapsulation of broccoli (SANCHEZ et al., 2016) and in the soybean oil--stearidonic acid complex (IFEDUBA et al., 2015), respectively. The particle size can be influenced by several factors such as stirring rate, viscosity, filling-polymer content, pH, cooling rate and drying (LAMPRECHT et al., 2001; NAKAGAWA et al., 2004; KAUSHIK et al. 2015). Smaller particles may be attributed to encapsulating agent particles that were not encapsulated (Tonon et al., 2011). However, Lee et al. (1999) points out that smaller sized microcapsules have larger surface area and thinner membrane, making the core material easier to diffuse through the microcapsule membrane.
According to Kaushik et al. (2015) the recommended particle size for application in food products should be less than 100 [micro]m in order to avoid sensory perception in the mouth. For application in drugs, particle size should be less than 200 [micro]m (AZAGHESWARI et al., 2015). Therefore, particles obtained in this study can be used in both food and drugs.
The results presented in this study show that it is possible to microencapsulate pequi oil by complex coacervation. The independent variables of the microencapsulation process had a significant influence on yield, efficiency and carotenoid retention. The models generated by the central composite rotational design were predictive with correlation coefficients of 98%. The size of particles presented asymmetric distribution within the range established in literature. From these results, future studies should be carried out to evaluate the stability of pequi oil microcapsules for their application in the food and health sectors.
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Priscilla Narciso Justi (1), Eliana Janet Sanjinez-Argandona (2), Maria Ligia Rodrigues Macedo (3)
Corresponding author: email@example.com
Received: September 28, 2016.
Accepted: October 04, 2017.
(1) Pharmacist, PhD, Universidade Federal do Mato Grosso do Sul. Dourados -MS. Email: firstname.lastname@example.org
(2) Industrial Chemist, PhD, Universidade Federal do Grande Dourados. Dourados - MS. Email: email@example.com
(3) Biologist, PhD, Universidade Federal do Mato Grosso do Sul. Dourados - MS. Email: firstname.lastname@example.org
Caption: Figure 2. Graph of predicted and experimental values of the encapsulation efficiency of pequi oil. Efficiency p (%): efficiency values predicted by the mathematical model; Efficiency o (%): efficiency values experimentally obtained.
Caption: Figure 3. Response surface (a) and contour graph (b) of velocity, temperature and filling interaction on the influence of carotenoid degradation on pequi pulp oil microcapsules.
Caption: Figure 4. Particle size distribution.
Table 1. Levels of independent variables used in the central composite rotational experimental design for the microencapsulation of pequi pulp oil. Independent variables Coded variables Level -1.68 -1 0 Temperature ([degrees]C) [X.sub.1] 33.2 40 50 Velocity (rpm) [X.sub.2] 6.600 10.000 15.000 Filling (g) [X.sub.3] 3.3 5 7.5 Independent variables Level 1 1.68 Temperature ([degrees]C) 60 66.8 Velocity (rpm) 20.000 23.400 Filling (g) 10 11.7 Table 2. Responses of the central composite rotational experimental design for pequi oil microcapsule using gum arabic and gelatin as encapsulants. Test A B C Yield Efficiency ([degrees]C) (rpm) (g) (%) (%) 1 40 10.000 5 67.07 66.58 2 40 10.000 10 79.12 78.06 3 40 20.000 5 73.91 74.68 4 40 20.000 10 76.70 75.64 5 60 10.000 5 72.45 71.80 6 60 10.000 10 80.29 79.96 7 60 20.000 5 71.65 71.99 8 60 20.000 10 77.06 76.26 9 33,2 15.000 7.5 74.75 75.20 10 66,8 15.000 7.5 72.30 72.42 11 50 6.600 7.5 77.70 76.83 12 50 23.400 7.5 75.67 76.25 13 50 15.000 3.3 73.01 74.28 14 50 15.000 11.7 79.49 79.06 15 (0) 50 15.000 7.5 96.76 96.24 16 (0) 50 15.000 7.5 97.07 96.86 17 (0) 50 15.000 7.5 96.40 96.70 18 (0) 50 15.000 7.5 96.91 96.34 19 (0) 50 15.000 7.5 96.45 96.68 20 (0) 50 15.000 7.5 96.67 96.50 Test Carotenoids ([micro]g/gms) * 1 60.30 2 40.95 3 46.86 4 29.27 5 31.84 6 49.32 7 25.83 8 24.96 9 25.25 10 24.73 11 23.95 12 21.74 13 44.15 14 23.85 15 (0) 192.15 16 (0) 191.60 17 (0) 191.48 18 (0) 191.96 19 (0) 192.10 20 (0) 192.04 * A, temperature ([degrees]C); B, homogenization velocity (rpm); C, filling (g); 0, central point *, expressed in dry mass. Table 3. Regression parameters for the analysis of variance ANOVA of the microencapsulation yield of pequi oil (Caryocar brasiliense). Factor SQ DF QM F (1) Temperature (L) 0.042 1 0.042 0.048 Temperature (Q) 1876.699 1 1876.699 2132.520 (2) Velocity (L) 1.337 1 1.337 1.519 Velocity (Q) 1392.399 1 1392.399 1582.204 (3) Filling (L) 222.672 1 222.672 253.026 Filling ((Q) 1455.460 1 1455.460 1653.860 1L 2L 17.808 1 17.808 20.236 1L 3L 0.624 1 0.624 0.709 2L 3L 34.164 1 34.164 38.821 Lack of adjustment 44.974 5 8.995 10.221 Pure error 22.001 25 0.880 Total SS 4297.590 39 [R.sup.2] 0.9844 Factor p (1) Temperature (L) 0.828 Temperature (Q) <0.05 (2) Velocity (L) 0.229 Velocity (Q) <0.05 (3) Filling (L) <0.05 Filling ((Q) <0.05 1L 2L <0.05 1L 3L 0.407 2L 3L <0.05 Lack of adjustment <0.05 Pure error Total SS [R.sup.2] * SQ, sum of squares; DF, degrees of freedom; QM, quadratic mean; F Fisher parameter for the significance test of effects; p (significance level [less than or equal to] 0.05). Table 4. Regression parameters for the ANOVA analysis of variance of the efficiency of pequi oil microencapsulation (Caryocar brasiliense) Factor SQ DF QM F p (1) Temperature (L) 0.020 1 0.020 0.031 0.862 Temperature (Q) 1864.557 1 1864.557 2917.342 <0.05 (2) Velocity (L) 0.208 1 0.208 0.325 0.573 Velocity (Q) 1444.047 1 1444.047 2259.400 <0.05 (3) Filling (L) 158.626 1 158.626 248.192 <0.05 Filling (Q) 1424.986 1 1424.986 2229.576 <0.05 1L 2L 21.045 1 21.045 32.928 <0.05 1L 3L 0.000 1 0.000 0.000 0.997 2L 3L 51.876 1 51.876 81.167 <0.05 Lack of adjustment 45.272 5 9.054 14.167 <0.05 Pure error 15.978 25 0.639 Total SS 4253.893 39 [R.sup.2] 0.9856 * SQ, sum of squares; DF, degrees of freedom; QM, quadratic mean; F Fisher parameter for the significance test of effects; p (significance level [less than or equal to] 0.05). Table 5. Regression parameters for the analysis of variance ANOVA of carotenoids from pequi oil microencapsulation (Caryocar brasiliense). Factor SQ DF QM F (1) Temperature (L) 314.2 1 314.19 806.3 Temperature (Q) 85430.0 1 85430.03 219238.5 (2) Velocity (L) 513.7 1 513.66 1318.2 Velocity (Q) 87827.9 1 87827.95 225392.3 (3) Filling (L) 434.2 1 434.23 1114.4 Filling (Q) 75720.1 1 75720.15 194320.1 1L 2L 6.9 1 6.88 17.6 1L 3L 716.5 1 716.50 1838.7 2L 3L 68.8 1 68.77 176.5 Lack of adjustment 3658.3 5 731.67 1877.7 Pure error 9.7 25 0.39 Total SS 213855.4 39 [R.sup.2] 0.9828 Factor p (1) Temperature (L) [less than or equal to] 0,05 Temperature (Q) [less than or equal to] 0,05 (2) Velocity (L) [less than or equal to] 0,05 Velocity (Q) [less than or equal to] 0,05 (3) Filling (L) [less than or equal to] 0,05 Filling (Q) [less than or equal to] 0,05 1L 2L [less than or equal to] 0,05 1L 3L [less than or equal to] 0,05 2L 3L [less than or equal to] 0,05 Lack of adjustment [less than or equal to] 0,05 Pure error Total SS [R.sup.2] * SQ, sum of squares; DF, degrees of freedom; QM, quadratic mean; F Fisher parameter for the significance test of effects; p (significance level [less than or equal to] 0.05) Figure 1. Pareto plot, effects and interactions of temperature ([degrees]C), filling (g) and homogenization velocity (rpm) on the yield of pequi oil microcapsules. Remaining DPPH % Guava 21.9 Ascorbic Acid 2.83 Galic Acid 2.82 Rutin 5.41 BHT 6.61 Lycopene * 15.06 b-carotene 43.54 Control 100 Note: Table made from bar graph.