Optimization of ultrasound-assisted extraction of phenolic compounds from Myrcia amazonica DC. (Myrtaceae) leaves
Mariana Cristina de Morais Rodrigues1, Leonardo Luiz Borges1, Frederico Severino Martins2, Rosa Helena V Mourão3, Edemilson Cardoso da Conceição1
1 Laboratory of PD&I of Bioproducts, School of Pharmacy, Federal University of Goiás, Jataí, Brazil
2 Department of Pharmaceutical Sciences, Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
3 Laboratory of Bioprospecting and experimental Biology, Department of Natural Resources of Amazônia, Federal University of Oeste do Pará, Santarém - PA, Brazil
|Date of Web Publication||10-Feb-2016|
Mariana Cristina de Morais Rodrigues
Laboratório de PD and de Bioprodutos, Faculdade de Farmácia, Universidade Federal de Goiás, CP 131, 74001-970 Praça Universitária, N° 1166 Setor Universitário Goiânia, GO
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Background: Myrcia amazonica. DC is a species predominantly found in northern Brazil, and belongs to the Myrtaceae family, which possess various species used in folk medicine to treat gastrointestinal disorders, infectious diseases, and hemorrhagic conditions and are known for their essential oil contents. Materials and Methods: This study aimed applied the Box-Behnken design combined with response surface methodology to optimize ultrasound-assisted extraction of total polyphenols, total tannins (TT), and total flavonoids (TF) from M. amazonica DC. Results: The results indicated that the best conditions to obtain highest yields of TT were in lower levels of alcohol degree (65%), time (15 min), and also solid: Liquid ratio (solid to liquid ratio; 20 mg: 5 mL). The TF could be extracted with high amounts with higher extraction times (45 min), lower values of solid: Liquid ratio (20 mg: mL), and intermediate alcohol degree level. Conclusion: The exploitation of the natural plant resources present very important impact for the economic development, and also the valorization of great Brazilian biodiversity. The knowledge obtained from this work should be useful to further exploit and apply this raw material.
Keywords: Box-Behnken, flavonoids, Myrcia amazônica, polyphenols, tannins
|How to cite this article:|
de Morais Rodrigues MC, Borges LL, Martins FS, Mourão RV, da Conceição EC. Optimization of ultrasound-assisted extraction of phenolic compounds from Myrcia amazonica DC. (Myrtaceae) leaves. Phcog Mag 2016;12:9-12
|How to cite this URL:|
de Morais Rodrigues MC, Borges LL, Martins FS, Mourão RV, da Conceição EC. Optimization of ultrasound-assisted extraction of phenolic compounds from Myrcia amazonica DC. (Myrtaceae) leaves. Phcog Mag [serial online] 2016 [cited 2022 Jan 21];12:9-12. Available from: http://www.phcog.com/text.asp?2016/12/45/9/175997
- Myrcia amazonica leaves possess phenolic compounds with biological applications;
- Lower levels of ethanolic strength are more suitable to obtain a igher levels of phenolic compouds such as tannins;
- Box-Behnken design indicates to be useful to explore the best conditions of ultrasound assisted extraction.
| Introduction|| |
The Myrtaceae is a family constituted by 130 genera and 5700 species, it is very common in Brazil, and several of its species can be found in the Amazon region. The Myrcia genus, with 374 species occurs mainly in the Central America to Northern Argentina.  The species of the Myrtaceae family are popularly known for having woody aspect, however, the Brazilian generally do not produce valuable timber, restricting themselves to providing firewood for use in small parts or objects and other forms of local use.  In Brazil, the largest use of plants in this family is related to their fruits, they are usually marketed and known to possess very characteristic aroma and flavor (e.g., guava, Psidium guajava L., Jabuticabeira, Myrciaria cauliflora (Mart.) O. Berg, Surinam cherry, Eugenia uniflora L.). , This family has a diversity of species with medicinal properties already confirmed such as the works diuretic action, anti-hemorrhagic, astringent, hypoglycemic, and antihypertensive among others. 
Secondary metabolites are directly related to the development, protection, and dissemination of the plant, as a result, these compounds play a series of therapeutic activities to the human body. Among the secondary metabolites, phenolic compounds are substances that present an important role in protection against pathogens and predators, these compounds are very diverse and can be divided into several classes (including the flavonoids [Fv], and condensed and hydrolysable tannins).  Several Fv has antioxidant activity and has a high redox potential, thus they can reduce the free radicals that can be harmful and also has a great potential for chelating metals.  The main class of tannins are hydrolysable and condensed being that the former are derived from a gallic acid,  they precipitate with proteins, anti-oxidants are also its antimicrobial power has been much studies in recent times and agents. 
The Myrtaceae family is characterized by the presence of secondary metabolites such as phenolic compounds (mainly Fv and tannins) and essential oils. ,
The evaluation of the influence of several factors simultaneously must be necessary to find optimum conditions in several processes. Thus, currently several statistical models have been employed to solve this problem, among them the Box-Behnken design and response surface methodology (RSM), allow for the studies on factors and its multiple interactions. ,
Myrcia amazonica DC. is a species predominantly found in northern Brazil, and there are few studies in the literature. Thus, this study aimed to perform an optimization of extraction of phenolic compounds, Fv, and tannins in leaves of Myrcia amazoncia DC. employing ultrasound-assisted extraction.
| Materials and Methods|| |
Leaves of native specimens of M. amazonica DC., Myrtaceae, were collected in Santarém, Pará, Brazil (02°30.464' S; 054°50.931' W). The plants were identified by Dra. Rosa Helena Veras Mourão and a voucher #250.3639 of the specimen were deposited at Herbarium of the National Institute of Amazon Research. The plant material was dried at 40°C, and pulverized by knife mill, and stored sheltered from light and moisture for subsequent use in the extraction procedure.
Rutin (95%) and tannic acid (98%) were purchased from Sigma-Aldrich® (Sigma-Aldrich Brasil Ltd., a, São Paulo, Brazil), and ultrapure water from a Milli-Q system (Millipore ® , Bedford, MA, USA) were used. All reagents were of analytical grade.
Total polyphenol contents, total tannin contents, and total flavonoids contents
For calculated total polyphenol contents (TPc) was employed Hagerman and Butler method, adapted by Waterman and Mole, , the absorbance was read at 510 nm. The calibration curve was prepared with tannic acid at the dilutions: 0.1, 0.15, 0.2, 0.25, 0.3, and 0.35 mg/mL. The correlation coefficient calculated for this curve was 0.9983.
For total tannin contents (TTc) was employed Hagerman and Butler method, adapted by Waterman and Mole, , the absorbance was read at 510 nm. The calibration curve was prepared with tannic acid at the dilutions: 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, and 0.8 mg/mL. The correlation coefficient calculated for this curve was 0.9985.
For total flavonoids content (TFc), the ethanolic extract was directly read at 361 nm.  The calibration curve was prepared with rutin at the dilutions: 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, and 0.1 mg/mL. The correlation coefficient calculated for this curve was 0.9939.
Box-Behnken experimental design (3 3 ) with three factors and three levels was used to optimize and evaluate main effects, interaction effects, and quadratic effects of the process variables.  The factors studied were: (i) Extraction times (ETs) of 5, 10, and 15 min, (ii) solid: Liquid ratio of 100, 150, and 200 mg/mL, and (iii) ethanolic strength (ES) 65, 80, and 95% (v/v), show in [Table 1]. Experiments were performed using a 40 kHz ultrasonic UNIQUE ® (USC 4800). The experimental runs were randomized to satisfy the statistical requirement of independence of observations, show in [Table 2]. A second-order polynomial regression model was used to express the yield as a function of the independent variables as follows:
|Table 2: Box-Behnken design and observed responses of ultrasound-assisted extraction of Myrcia amazonica leaves|
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Where y represents the response variables, β0 is a constant, βi , βii, and βij are the linear, quadratic and interactive coefficients, respectively. xi and xj are the levels of the independent variables. All statistical analysis was conducted using the software Design Expert ® version 7.0.  The factors with a significance higher than 5% (P < 0.05) was considered.
| Results and Discussion|| |
[Table 2] shows the results with the corresponding responses data for the M. amazonica leaves, regarding TPc, TTc, and TFc. The highest value obtained of TPc under the experimental design was 13.66% (Run 2). Regarding total tannins (TT) content, experiment 3 showed the highest value, which was 39.12%, and in this extraction was employed the same alcohol degree that the experiment described above.
The highest content of TF found was 2.60% (Run 4), and this value was also obtained with the 80% alcohol degree, the same of the runs early. The similarity of these experiments regarding the highest values of the responses suggests the influence of alcohol in the extraction process, and this fact will be discussed later.
The second-order polynomial model was fitted to each of the response variables (Equation 1). The ANOVA provides the summary of main effects and their significance in [Table 3], which the level of significance are represented as percentages. This analysis showed that the ES had a significant effect on the total phenols, TT, and TF content at the 5% level.
|Table 3: Summary of factor effects on Myrcia amazonica powder properties|
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The ANOVA revealed that only ET 2 exerted an influence on the TPc at a significance level of 5%. None of the others effects and the interactive terms were significant. Thus, in the levels investigated, this squared term had a negative influence over the total phenols content. The coefficient of this independent variable is shown in the following fitted equation:
[Figure 1]a and b show the surfaces plots of TTc as a function of ET, solid to liquid ratio (SLR), and ES. These graphs showed that ET and SLR exerted a nonlinear effect on TTc. In general, higher and lower levels of SLR provided better yields of the tannins by ultrasound-assisted extraction, thus its possible make the extraction in these two regions of the surface. The fact of the obtainment of great amounts of tannins with lower SLR could present an economy of this raw material. Sousa et al. found similar results with the stem barks of the species Stryphnodendron adstringens (Mar.) Coville, which lower levels of SLR results in great yields of tannins.  Other studies investigated the influence of various parameters on the tannins obtained by ultrasound-assisted extraction, such the article of Martins et al., where was studied the parameters ET, ES, and particle size of raw material on the tannins amount of Dipteryx alata Vogel fruits. 
|Figure 1: (a) Surface plot of total tannin content as a function of solid to liquid ratio and extraction time (b) surface plot of total tannin content as a function of ethanolic strength and extraction time|
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The application of experimental design to increase the yield of extraction markers has been very employed in early years. The ultrasound-assisted extraction of the phenolic compound 4-nerolidylcatechol was investigated in roots of species Pothomorphe umbellata, and the main factors that exerted influence in this extraction process were ethanol to water ratio and ET. 
According to [Figure 1]b, it can observed that lower amounts of ethanol in extraction solvent had a positive influence in yields of TT, which could be explained by the higher affinity to these polar compounds with polar solvents (with more water). ,
The fitted equation of TT is given by:
[Figure 2] presents the surface responses of TFc as a function of the terms ET, ES, and SLR. The graphs show that lowest amounts of SLR result in better yields of Fv extraction. Moreover, intermediate values of ES (80%, v/v) associated superior ET (45 min) provided improve yields of Fv extraction. [Figure 2] shows the interaction of ES and SLR, and from this response surface, it can be observed that the better condition to obtainment higher amounts of Fv. The second-order behavior in the optimization of Fv extraction by ultrasound was also found in a study conducted by Zhang et al., which SLR and ES were the quadratic terms.  The coefficients of independent variables to this model are shown in the following equation:
|Figure 2: Surface plot of total flavonoid content as a function of ethanolic strength and extraction time|
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The dried extract obtained presented a yield of 68.40% (w/w). The levels of total polyphenols, TT, and total FV were, respectively 18.875%, 18.33%, and 7.95% (w/w). These contents of phenolic compounds found were relevant because the values were greater than other species of the same genus. 
In this work, the ultrasound-assisted extraction of total phenols, TT, and TF from M. amazonica leaves was investigated with a three-variable experiment Box-Behnken design based on an RSM in enhancing the yields of these marker classes. The best extraction parameters in the levels studied were obtained. The knowledge gained in this study has a great importance for further investigations and application of this vegetal species.
The authors gratefully acknowledge the financial support obtained from CNPq and CAPES.
Financial support and sponsorship
The financial support obtained from CNPq and CAPES.
Conflicts of interest
There are no conflicts of interest.
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| Authors|| |
Mariana Cristina de Morais Rodrigues, is pharmacist graduated in the State University of Goiαs, Brazil, and currently is a Master degree student in the Federal University of Goiás, under guidance of Prof. Dr. Edemilson Cardoso da Conceição. Her research it's concentrated mainly with pharmaceutical technology applied to natural products and development of intermediate and final products from medicinal plants.
[Figure 1], [Figure 2]
[Table 1], [Table 2], [Table 3]