Mulberry plants (Morus alba L., Fig. 1) have been known to have various effects and used as traditional medicine. One of the chemical constitutions from the mulberry plant is oxyresveratrol (Chan et al., 2016). Oxyresveratrol was one of the stilbene groups, which could be found in various types of plants. In the previous study, both in vitro and in vivo results have shown that oxyresveratrol had potential as a tyrosinase enzyme inhibitor, and clinical studies prove that the compound was effective as a lightening agent (Chatsumpun et al., 2016). Accordingly, oxyresveratrol was said to have antioxidant, antiviral, and antibacterial activity (Xu et al., 2014).
|Figure 1. Mulberry plant.|
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Oxyresveratrol could be found in various parts of mulberry plants, such as roots, stems, and twigs (Soonthornsit et al., 2017). Mulberry twigs were used because of their high oxyresveratrol content compared to other parts, i.e., about 0.12% (Eom et al., 2017). The extraction process was done with ethanol (Lorenz et al., 2003), methanol (Tran et al., 2017), and other organic solvents. The previous study showed that extraction with a maceration method with 96% ethanol resulted in the highest total resveratrol content, i.e., about 0.34% (Lorenz et al., 2003).
Surfactants have both hydrophobic and hydrophilic groups that were capable of extracting wide polarity ranged compounds such as polyphenols and could be used to extract and separate polyphenolic compounds such as oxyresveratrol. Surfactants that could be used to extract polyphenols were surfactants with a suitable hydrophilic and lipophilic balance (HLB) value of 15–17 (Sharma et al., 2015). Thus, this study used Tween 20 and Tween 80 surfactants with an HLB value of 16.7 and 15.
Tween 20 (Polysorbate 20) and Tween 80 (Polysorbate 80) were usually used as an emulsifier. They consist of a polysorbate head group as hydrophilic moiety and an oleoyl chain as the hydrophobic tail. They have low toxicity and cost, biocompatibility, and environmentally friendly (Doost et al., 2018). They have frequently been used to produce essential oil nanoemulsions, to stabilize proteins, and formulation of protein biotherapeutics (Doost et al., 2017; Kerwin, 2008).
The extraction using surfactants and microwave-assisted extraction (MAE) methods was used to accelerate the oxyresveratrol extraction process, and its extraction yield could directly use for cream formulation without having to go through the long process. Accordingly, surfactants used as oxyresveratrol extraction solvent also have many advantages from its toxicity aspect, amount of efficiency, and simpler compared with organic solvents (PÅ‚otka-Wasylka et al., 2017).
The MAE method caused direct heating toward the solvent and samples. This method caused soluble ions migration, which increased solvent penetration into the matrix and helped in target compound solubilization (Rostagno and Prado, 2013). This method also caused damage to the plant cell membrane (Ayuningtyas et al., 2017). This study aimed to obtain the optimum extraction condition of oxyresveratrol from mulberry twigs using Tween 80 and Tween 20 as a surfactant with MAE on Response Surface Methodology (RSM) and to compare oxyresveratrol extraction yield using the MAE method with a surfactant as a solvent with maceration with 96% ethanol as solvent.
MATERIALS AND METHODS
Mulberry (M. alba) twigs dried sample (Bogor, West Java, Indonesia), Tween 80 (KAO Indonesia Chemicals, Indonesia), Tween 20 (KLK Oleo, Malaysia), High-Performance Liquid Chromatography (HPLC) grade acetonitrile (Merck Millipore, Germany), acetic acid (Merck Millipore, Germany), aqua dest, 96% ethanol pro analysis (Merck Millipore, Germany), HPLC grade methanol (Merck Millipore, Germany), methanol pro analysis (Merck Millipore, Germany), and oxyresveratrol standard (Shanghai Yuanye Bio-Technology, China) were used in this research.
Determination of research method design
The implementations of this study were divided into some steps, such as research design composition, materials preparation, extraction, and determination of oxyresveratrol content with HPLC. This research was designed by RSM using Design-Expert® 10.0.3 software. The optimization variations can be seen in Table 1. Research data designs were obtained by 17-extraction condition variation (Table 2).
The twigs were obtained from Bogor, Indonesia. Afterward, the twigs went through wet sortation and dried in drying cupboard for seven days. After that, the dried twigs were finely cut and being powdered. The powder was weighted for extraction purposes.
Extraction by MAE method with Tween 80 and Tween 20 (Method 1)
As much as 1 g of sample powders were extracted using Tween 80 and Tween 20. Surfactant concentration, solvent–sample ratio, and extraction time were determined using the RSM method (Table 2). The extract, which contained oxyresveratrol, then filtered and centrifuged at 4,000 rpm for 20 minutes until it was separated into two phases, i.e., the residues and the supernatants. The supernatants were collected for the analysis.
Extraction by maceration with 96% ethanol (Method 2)
As much as 1 g of sample powders were extracted with 120 ml of 96% ethanol for two days at room temperature. The extract was filtered with filter paper. The ethanol filtrate was vaporized using a rotary vacuum evaporator until viscous crude extract was obtained. The extraction yield of viscous crude extract was calculated by the formula below:
Determination of oxyresveratrol content using HPLC
The determination of oxyresveratrol was done by HPLC (Shimadzu LC-20AT, Japan), C18 Column (4.6 × 150 mm) (Shimadzu, Japan). The mobile phase consists of 0.5% acetic acid solution and acetonitrile (75:25) v/v. The flow rate was 1.0 ml/minute. The detector was a UV–Vis detector (Shimadzu SPD-20 A, Japan) with a wavelength of 320 nm.
|Table 1. Variables and levels of extraction optimization of Tween 80 and Tween 20. |
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|Table 2. Research data design with RSM of Tween 80 and Tween 20 surfactant. |
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Oxyresveratrol standard solution preparation
Oxyresveratrol standard solution was prepared until the solution of 1,000 μg/ml concentration was obtained. Afterward, the solution was diluted to 0.3, 0.4, 0.5, 0.6, 0.8, and 0.9 μg/ml. Peak areas from chromatograms were used to create the calibration curve and the linear regression equation (Sangsen et al., 2016).
Oxyresveratrol sample solution preparation
The sample solution was prepared by filtering liquid extract with a micropore membrane. Supernatant from oxyresveratrol liquid extract from Method 1 was filtered with a 0.45 μm-pore membrane. About 5 mg viscous crude extract from Method 2 was diluted in 5 ml methanol until a solution of 1,000 μg/ml was obtained. Afterward, the solution was diluted until 100 μg/ml and filtered with a 0.45 μm-pore membrane.
Scanning electron microscope (SEM)
Mulberry twigs powder (before and after extraction) was examined by using SEM. This characterization was needed to learn about the morphology changes of the cell wall during the extraction process with Tween 80 or Tween 20-MAE and 96% ethanol-maceration method.
HPLC data result from all samples was processed by using Design Expert® 10.0.3 software with the RSM method to determine the optimum condition from various combinations of variables in the extraction process.
RESULTS AND DISCUSSION
Extraction was done by two methods, i.e., MAE method with Tween 80 and Tween 20 as solvent (Method 1) and maceration method with 96% ethanol as solvent (Method 2). A preliminary study was done beforehand to determine the variable values of the extraction condition in Method 1. Extraction was done by two methods, i.e., MAE method with Tween 80 and Tween 20 as solvent (Method 1a and 1b) and maceration method with 96% ethanol as solvent (Method 2). Orientation was done first to determine the variable values of the extraction condition in Method 1.
MAE method with Tween 80 extraction (Method 1a)
In Method 1a, the analyzed factors in this method were solvent concentration, solvent–sample ratio, and the extraction time (Rostagno and Prado, 2013). Surfactant solvent concentration was of 7, 10.5, and 14 mM and for solvent–sample ratio was 20:1, 30:1, and 40:1 ml/g (Lu et al., 2017). The values used for each factor were determined based on the result of the preliminary study from previous related studies (Koyu et al., 2017). For extraction time, the time point was determined at 5, 10, and 15 minutes. After the lowest, middle, and highest values from each factor were determined, the variation of extraction condition was obtained from 17 variations. The extraction was done with the MAE method. All variations of the extraction condition can be seen in Table 2.
MAE method with Tween 20 extraction (Method 1b)
In Method 1b, surfactant solvent concentration was 70, 85, and 100 mM and for solvent–sample ratio was 20:1, 30:1, and 40:1 ml/g. The values used for each factor were determined based on the result of the preliminary study from previous related studies (Koyu et al., 2017). For extraction time, the time point was determined at 1, 5, and 9 minutes. After the lowest, middle, and highest values from each factor were determined, the variation of extraction condition was obtained from 17 variations. The extraction was done with the MAE method. All variations of the extraction condition can be seen in Table 2.
Maceration method with 96% ethanol extraction (Method 2)
The extraction yield obtained from the maceration method with 96% ethanol was 3.0%. The extraction yield was diluted in methanol and analyzed using HPLC.
Determination of oxyresveratrol content with HPLC
The peak area obtained from each concentration analysis was used to create a correlation curve between standard concentrations and peak areas. After the linear regression equation was obtained from the calibration curve, the oxyresveratrol content from Methods 1 and 2 was determined. The retention time was determined based on the time from the calibration curve. The calculation shows at 8 minutes (Fig. 2a). Thus, the peak that appeared around 8 minutes in the sample chromatogram was determined as oxyresveratrol (Fig. 2b and c).
In Method 1, oxyresveratrol content was determined by calculating the x values from the linear regression equation obtained from the standard calibration curve. The values were obtained based on oxyresveratrol peak area value from the sample solution. Oxyresveratrol content was in mg/g sample unit. These results are described in Figures 3 and 4.
|Figure 2. Oxyresveratrol retention time: (a) standard solution at 0.3 μg/ml concentration, (b) oxyresveratrol chromatogram of run 8 sample solution in Tween 80 solvent, and (c) oxyresveratrol chromatogram of variation 1 sample solution in Tween 20.|
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Method 1a: In Figure 3, the highest oxyresveratrol content was obtained at variation 6 (0.0146 mg/g dried sample) with 10.5 M solvent concentration, 30:1 ml/g solvent–sample ratio, and 10 minutes extraction time. Meanwhile, the lowest oxyresveratrol content was obtained at variation 3 (0.0055 mg/g dried sample) with 10.5 M solvent concentration, 20:1 ml/g solvent–sample ratio, and 5 min extraction time.
Method 1b: In Figure 4, oxyresveratrol content from variation 4 had the highest content of 0.0172 mg/g dried sample with 100 mM solvent concentration, 40:1 ml/g solvent–sample ratio, and 5 minutes extraction time.
Method 2. The result from the maceration method was 1.5704 mg/g dried sample. This result was higher compared to the result of the optimum condition of MAE with Tween 80 and Tween 20.
|Figure 3. Result of oxyresveratrol content for every sample variation of Tween 80.|
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|Figure 4. Oxyresveratrol content of every sample variation of Tween 20.|
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The highest oxyresveratrol content from Method 1a was obtained from variation 6 with a 10.5 M solvent concentration, 30:1 ml/g solvent–sample ratio, and 10 minutes extraction time. The highest oxyresveratrol content was obtained at 10 minutes of extraction and decreased after 10–15 minutes. This condition proved that the equilibrium of the compound release from the plant matrix occurred in 10 minutes. The use of a high solvent–sample ratio could increase the probability of contact with the extraction solvent. It gave a higher compound release level in a solvent. However, the extracted compound would not increase any more after the point of equilibrium was achieved (Tan et al., 2011). The equilibrium of the solvent–sample ratio of this study was 30 ml/g.
The lowest oxyresveratrol content from Method 1b was obtained from variation 12, and the content was 0.0012 mg/g dried sample, with 100 mM solvent concentration, 30:1 ml/g solvent–sample ratio, and 1 minute extraction time. The highest oxyresveratrol content from variation 4 was caused by the high solvent concentration of 100 mM, which resulted in a quite high oxyresveratrol content on the orientation process, and an extraction time of 5 minutes. The low result of variation 12 was caused by a quick extraction time, which was only 1 minute. It can cause the extraction process incomplete, even though the value of solvent concentration used was optimum compared to another condition.
Based on the content determination of Method 2, the result of oxyresveratrol content was higher compared to the result of the optimum condition of Method 1a and 1b. It was related to the maceration method mechanism and the contact time of the solvent and sample in the maceration. The submersion mechanism in the maceration method could soften and destroy plants' cell walls. Thus, it made the solvent easily diluting the bioactive compound from plants. The longer contact time between the solvent and the sample also affects the bioactive compound extracted from the extraction process (Azwanida, 2015). Longer contact time between solvent and sample could increase mass transfer that occurred in the extraction process (Tan et al., 2013).
Nevertheless, Method 1 had some advantages to shorten the steps in the process of drug formulation because the obtained extract could be used directly for formulation. Accordingly, this extraction method was also made the extraction time to be more efficient. However, this extraction had one disadvantage that it needs more materials than conventional does.
Optimum condition determination with RSM
The optimum extraction condition was determined by inputting the oxyresveratrol average content as a response in the y-axis against variables used in this study as the x-axis. Data were analyzed using multivariate regression analysis. The regression model was obtained to predict the optimum condition with Method 1a by using the following equation:
wherein Y value is the average value of oxyresveratrol content, X1 is A factor (Tween 80 concentration), X2 is B factor (extraction time), and X3 is C factor (solvent–sample ratio). The recommended model was the quadratic model because this model had p-value <0.05, which showed that the interaction between factors in this model was quite significant. The R2 value for this response was 0.9825, which means that this response surface model had enough accuracy and showed the adequacy of the regression model applied.
Then, the optimum condition determination of Method 1b, based on the analysis result, was obtained at 5 minutes extraction time, 40:1 ml/g solvent–sample ratio, and 100 mM solvent concentration, which corresponded with variation 4 of extraction sample. Analysis result was also obtained regression linear equation, which predicted oxyresveratrol content value. The acquired equation is as follows:
The above equation had an R2 value of 0.9275, wherein Y shows oxyresveratrol content value, X1 is A factor (extraction time), X2 is B factor (solvent–sample ratio), and X3 is C factor (solvent concentration). Based on the RSM analysis result, F value for lack of fit (p > 0.05) was 0.0752; this shows that the probability of some errors was insignificant. Afterward, the F value from this model (p < 0.05) was 0.0107. It shows that the correlation or interaction between the combined factors used in the equation had a significant effect on the resulted response, which was the obtained oxyresveratrol content.
The result of the response surface graph obtained can be seen in Figures 5 and 6. For Method 1a, the optimum result was obtained in 10.5 mmol/l concentration. The concentration effect was linked with solvent viscosity that affected its capability in penetrating itself into the cell membrane. The higher the viscosity, the lower the solvent capability to extract the target compound from the matrix of the sample (Rostagno and Prado, 2013). In this study, it was reported that 10 minutes was the optimum time to extract oxyresveratrol.
Another factor, which affected the extraction process in this study, was a solvent–sample ratio. The large solvent–sample ratio could cause the extraction process to be ineffective, and a small solvent–sample ratio could cause an incomplete extraction process (Ahmad et al., 2017). Based on this study, in Method 1a, the optimum condition was variation 6 (10.5 mmol/l surfactant concentration, 30:1 ml/g the solvent–sample ratio, and 10 minutes extraction time) with desirability index of 0.977. This was done by looking at the desirability index that ranged from 0 to 1. If the value was close to number 1, then the conditions were closer to the optimum condition. The analysis condition of Method 1b was variation 4, which conditions were 5 minutes of extraction time, 40:1 ml/g solvent–sample ratio, and 100 mM solvent concentration. The desirability index value obtained was 0.993.
Cell wall damage effect on extraction with SEM
To study the cell wall damage during extraction, the mulberry twigs powder before extraction and its residue after extraction were checked with SEM. Based on Figure 7, the cell wall structure shows good integrity before extraction (Fig. 7a), but after maceration method extraction with 96% ethanol, the cell wall went through some damages (Fig. 7b). The damages on samples of the maceration method occurred because there was a damage mechanism on the cell wall caused by the submersion process and agitation in the maceration process (16). From Method 1, the cell wall structure did not undergo more severe damage than with Method 2 (Fig. 7c and d). In this study, it was known that microwave application in the MAE method could affect cell structure because there were immediate changes in temperature and internal pressure (Zhou and Liu, 2006). Therefore, in this case, Tween 80 did not show any effect on the cell wall damage, but the extraction mechanism of the MAE method could make Tween 80 surfactant easily penetrates and dissolves the secondary metabolite from mulberry twigs.
|Figure 5. Response surface graph of two factors relationship of (a) concentration–time, (b) concentration–solvent–sample ratio, and (c) time–solvent–sample ratio.|
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|Figure 6. Response surface graph of two factors relationship of (a) solvent–sample ratio – time, (b) concentration–time, and (c) concentration – solvent–sample ratio.|
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|Figure 7. Scanning electron microscope result from mulberry twigs: (a) before extraction, (b) after maceration method extraction with 96% ethanol, (c) after MAE method extraction with Tween 80, and (d) after MAE method extraction with Tween 20.|
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The optimum extraction condition of oxyresveratrol from mulberry twigs by using the MAE–RSM-based method with Tween 80 was obtained at 10.5 mM, 30:1 ml/g solvent–sample ratio, and 10 minutes extraction time. The optimum extraction condition of oxyresveratrol from M. alba twigs of the MAE method with Tween 20 was obtained at 100 mM, 40:1 ml/g solvent–sample ratio, and 5 minutes extraction time. Oxyresveratrol content that gained at the optimum condition of Tween 80 and Tween 20 was lower than oxyresveratrol content from maceration with 96% ethanol. Oxyresveratrol content was 0.0146 mg/g dried sample, and 0.0172 mg/g dried sample at the optimum condition of Tween 80 and Tween 20 surfactant, respectively. Meanwhile, the oxyresveratrol content of the maceration method with 96% ethanol was 1.5704 mg/g dried sample. Therefore, additional studies should be undertaken to optimize other parameters, such as temperature, pH, and microwave energy, which affect the extraction of oxyresveratrol content.
The authors gratefully acknowledge the funding from Directorate of Research and Community Engagement Universitas Indonesia, via Hibah Publikasi Terindeks Internasional untuk Tugas Akhir (PITTA) 2018 supporting this work.
CONFLICT OF INTEREST
The authors have no conflict of interest to declare.
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