Abstract
Optimization of the extraction procedure was performed to enhance the antioxidant activity and whitening effect of Sasa quelpaertensis Nakai extract using response surface methodology (RSM). The central composite design, a component of RSM, was utilized to optimize and validate the ethanol extract for antioxidant activity and the hot water extract for the whitening effect, respectively. Activities of antioxidant and whitening were determined by DPPH and tyrosinase inhibition assays. The antioxidant activity was notably influenced by ethanol concentration (p = 0.0344) more than other factors. The optimal conditions for the antioxidant effect were 54% ethanol concentration, 52 °C, and 3 h extraction time, yielding an antioxidant activity of 83.65±1.56%. On the other hand, the whitening effect was significantly impacted by ultrasonic irradiation time (p = 0.0175) compared to other factors. The optimal conditions for whitening were 41 °C, 1:19 of sample-to-solvent ratio, and 8 min of ultrasonic irradiation, achieving a tyrosinase inhibition activity of 51.00±1.80%. High-performance liquid chromatography (HPLC) analysis was conducted to identify compounds such as tricin with antioxidant activity and p-coumaric acid, arbutin with whitening effect under the optimized conditions. The results suggest that the optimized extracts from S. quelpaertensis could be utilized as beneficial cosmeceutical materials.
Download PDF
Full Article
Optimizing the Extraction of Sasa quelpaertensis Nakai to Develop Natural Cosmetics with Antioxidant and Whitening Activities
Eun-Hye Han,a Hyeyun Kim,b Jaemin Jo,c Su-Yeon Lee,d,* and Bonwook Koo e,*
Optimization of the extraction procedure was performed to enhance the antioxidant activity and whitening effect of Sasa quelpaertensis Nakai extract using response surface methodology (RSM). The central composite design, a component of RSM, was utilized to optimize and validate the ethanol extract for antioxidant activity and the hot water extract for the whitening effect, respectively. Activities of antioxidant and whitening were determined by DPPH and tyrosinase inhibition assays. The antioxidant activity was notably influenced by ethanol concentration (p = 0.0344) more than other factors. The optimal conditions for the antioxidant effect were 54% ethanol concentration, 52 °C, and 3 h extraction time, yielding an antioxidant activity of 83.65±1.56%. On the other hand, the whitening effect was significantly impacted by ultrasonic irradiation time (p = 0.0175) compared to other factors. The optimal conditions for whitening were 41 °C, 1:19 of sample-to-solvent ratio, and 8 min of ultrasonic irradiation, achieving a tyrosinase inhibition activity of 51.00±1.80%. High-performance liquid chromatography (HPLC) analysis was conducted to identify compounds such as tricin with antioxidant activity and p-coumaric acid, arbutin with whitening effect under the optimized conditions. The results suggest that the optimized extracts from S. quelpaertensis could be utilized as beneficial cosmeceutical materials.
DOI: 10.15376/biores.19.3.6427-6443
Keywords: Sasa quelpaertensis Nakai; Ethanol extraction; Hot water extraction; Response surface methodology; Tyrosinase inhibition assay; DPPH assay
Contact information: a: Department of Cosmeceutical Science of Daegu Haany University, Gyeongsangbuk-do, 38578, Republic of Korea; b: Extreme Materials Research Center, Korea Institute of Science and Technology, 02792, Seoul Republic of Korea; c: Institute of Agricultural Science and Technology, Kyungpook National University, Daegu 41566, Republic of Korea; d: Division of Research Planning and Coordination, National Institute of Forest Science, Seoul 02455, Republic of Korea; e: School of Forestry Sciences and Landscape Architecture, Kyungpook National University, Daegu 41566, Republic of Korea; bkoo@knu.ac.kr
INTRODUCTION
The demand for natural cosmetic materials, prioritizing safety and functionality, has garnered increasing interest in addressing the side effects of synthetic materials (Hoang et al. 2021). Numerous prior studies have explored the use of plant extracts in cosmetic production (Thong-on et al. 2021). This study focused on evaluating the antioxidant and whitening properties of Sasa quelpaertensis Nakai to establish a database of indigenous natural cosmetic materials in Korea. S. quelpaertensis is a member of the Sasa genus, found exclusively near Mount Halla on Jeju Island as a local endemic species.
Leaves of Sasa species have been used in traditional medicine for their anti-inflammatory, antipyretic, and diuretic properties (Sultana and Lee 2010). Recently, various biological studies of extracts from S. quelpaertensis have been conducted, alongside numerous research efforts to isolate novel bioactive compounds and verify their biological activities (Lee and Lee 2017).
Ethanol and hot water are commonly used solvents for natural product extraction. The constituents and bioactivity of extractives vary depending on the extraction conditions. Phenolic compounds are the most important bioactive compounds in plants (Al-Rajhi et al. 2023; Bakri et al. 2024). They are known for their active properties, including free radical scavenging, inhibition of oxidative enzymes, and anti-inflammatory effects (Banjarnahor and Artanti 2014).
Also, extracts from S. quelpaertensis contain numerous phenolic compounds and flavonoid derivatives with antioxidant and whitening effects (Sultana and Lee 2010; Kang et al. 2016; Lee et al. 2016). If properly utilized, the results of this study will enhance the industrial use of S. quelpaertensis, which grows abundantly in the Jeju region of South Korea, as a cosmetic ingredient. However, in order to improve its industrial use, optimal extraction conditions for process efficiency are required, and this study aimed to explore the optimal extraction conditions.
This study investigated the optimal extraction conditions to enhance the antioxidant and whitening activities of extracts from S. quelpaertensis using the central composite design model (CCD) of response surface methodology (RSM), which provides the most information with the least amount of experimentation (Lee et al. 2018). The study established the optimal extraction conditions of ethanol extraction for antioxidant properties and hot water extraction for whitening effects and validated the experimental values under the optimized conditions. Furthermore, useful compounds with antioxidant and whitening effects at the optimal conditions were analyzed using high-performance liquid chromatography (HPLC).
EXPERIMENTAL
Materials
S. quelpaertensis Nakai, grown in June near eastern Jeju-Island, was collected and supplied from Jeju technology application division of the Korea Institute of Industrial Technology, and used as the material for this study. The analytical grade chemical ethanol was purchased from Samchun (Korea). For the antioxidant activity assay, 2,2-diphenyl-1-picrylhydrazyl (DPPH) was procured from Sigma (USA). For the whitening effect evaluation, L-DOPA and the mushroom tyrosinase (1000 U/mg) were purchased from Sigma-Aldrich (USA), and sodium phosphate monobasic anhydrous (NaH2PO4) and sodium phosphate dibasic anhydrous (NaH2PO4) were purchased from Duksan (Korea). For HPLC analysis, phenolic standards such as tricin (95%), p-coumaric acid (98%), and arbutin (98%) were procured from Sigma-Aldrich (USA). To establish the experimental parameters, the central composite design was applied using Design-Expert 12 software.
Extraction
Solvent (ethanol) extraction for antioxidant effect
According to previous researchers, extraction is an important process used for the quantification and isolation of bioactive substances derived from plants. Various factors such as solvent concentration, extraction temperature, and time are generally known to influence ethanol extraction.
Response surface methodology (RSM) has been utilized for the development and optimization of experiments with high efficiency in biochemical industries (Kalil et al. 2000). The process of ethanol extraction from S. quelpaertensis was determined based on the central composite design (CCD) for antioxidant activity. CCD is the most commonly used fractional design in the response surface model.
The variables were designed for 17 experimental runs, including 2 at the central point, 8 at the factorial point, and 6 at the axial point, to find the optimum ethanol extraction conditions. The extraction variables included in Table 1 were ethanol concentration (% (v/v)), extraction temperature (°C), and extraction time (h). A 4 g sample powder of S. quelpaertensis was used under the conditions of the designed model, with varying ranges of concentration (0 to 88%), temperature (23 to 81°C), and time (1 to 8 h).
Table 1. Independent Variables and their Coded and Actual Values of Ethanol Extraction Condition of S. quelpaertensis Nakai
α presented distance circumscribed from axial point to center point (α = 1.682)
Antioxidant Effect of Ethanol Extracts
DPPH (2,2-diphenyl-1-picrylhydrazyl) is commonly used to evaluate the free radical scavenging activity of various compounds. The DPPH radical scavenging activity assay was conducted based on the method developed by Blois with slight modifications (Blois 1958).
A total of 100 μL of sample solutions were diluted to various concentrations ranging from 0.156% to 10%. Subsequently, and the diluted samples were combined with 50 μL of 0.4 mM DPPH solution or 50 μL of ethanol. The mixture was then incubated in a dark room for 10 minutes, and the absorbance was measured at 517 nm. The DPPH radical scavenging activity was determined by calculating the difference in absorbances between the control and experimental groups (1).
DPPH radical scavenging (%) = {100-(sample-blank)/(control-blank)} × 100 (1)
Hot Water Extraction Assisted Ultrasound Pretreatment
The experimental design using RSM was conducted to determine the optimal conditions for both ethanol and hot water extraction. However, ultrasonic pretreatment was only applied to the hot water extraction process. Extraction assisted with ultrasound irradiation induced cavitation by passing ultrasound waves, leading to enhanced extraction compared to conventional methods, such as hot water extraction alone (Macro et al. 2020).
Extraction processes were applied to RSM analysis using the Central Composite Design (CCD) model to achieve the maximum whitening effect of hydrothermal-assisted ultrasound extraction from S. quelpaertensis. A total of 27 experimental runs were conducted, including 3 at the central point, 16 at factorial points, and 8 at axial points, to determine the optimal extraction conditions. The extraction variables, as shown in Table 2, included extraction time (h), extraction temperature (°C), sample-to-solvent ratio (g/mL), and ultrasonic irradiation time (min).
The 4 g sample powder of S. quelpaertensis was subjected to experiments under specific conditions, including varying extraction times (1 to 9 h), temperatures (23 to 95 °C), sample-to-solvent ratios (7 to 23 g/mL), and ultrasonic irradiation times (0 to 32 min).
Table 2. Independent Variables and their Coded and Actual Values of Hot Water Assisted Ultrasound Extraction Condition of S. quelpaertensis Nakai
Tyrosinase Inhibition Assay of Hot Water Extracts
To determine the inhibitory effect of S. quelpaertensis extraction on mushroom tyrosinase activity, an enzyme inhibition experiment was conducted in triplicate, following the method described with slight modifications by Yagi et al. (1987).
The sample solution was prepared by dissolving the sample in ethanol and diluting it to an appropriate concentration range (0.156% to 10%) to suppress tyrosinase activity. 40 μL of 10 mM L-DOPA, 80 μL of 67 mM phosphate buffer (pH 6.8), and 40 μL of the same buffer with or without the test sample were added to a 96-well microplate. The mushroom tyrosinase (1000 U/mg) was diluted to 200 U/mL, then, 40 μL of mushroom tyrosinase was mixed in. After incubation, the assay mixture was left at 37 °C for 10 min. The amount of dopachrome produced in the reaction mixture was measured by spectrophotometric analysis of absorbance at 490 nm.
(2)
where a is the absorbance after reaction of the control, b is the absorbance after reaction of the sample, and a’ and b’ are the corresponding absorbances by substituting buffer in place of enzyme.
Optimal Condition and Model Validation
The optimal methodology has three major steps: firstly, the design of the statistical experiment, called CCD, determines the levels and number of independent variables. Secondly, the regression equation generated by ANOVA analysis is used to model the response surface. Lastly, this model should be verified.
CCD was conducted to determine for the optimal extraction conditions using Design-Expert 12 software (State-Ease, Inc., USA). A CCD design with 3 factors was employed for ethanol extraction, while a CCD design with 4 factors was utilized for hydrothermal-assisted extraction.
The optimized conditions for the extraction were identified to achieve maximum antioxidant activity and whitening effect. The actual values tested were compared with the predicted values to assess the validity of the model. Additionally, the active compounds were qualitatively analyzed using HPLC under optimal conditions.
HPLC Analysis on Optimal Condition
Phenolic compounds from extracts were analyzed using HPLC (Dionex Ultimate 3000, USA) equipped with binary pumps, an autosampler, a column oven, and a 2998 photodiode array detector (Waters, USA). The compounds tricin and p-coumaric acid were monitored at 280 nm, and arbutin was monitored at 370 nm with a Sunfire TM C18 column (4.6×250mm ID, 5μm particle size; Waters, Milford, MA, USA). The mobile phase consisted of acetonitrile (A) and a 1% acetic acid aqueous solution (B) as follows: 0.0 min, 15% A; 0.0 to 40.0 min, 42.5% A; 40.0 to 40.1 min, 100.0% A; 40.1 to 45.0 min, 100.0% A; 45.0 to 45.10 min, 15.0% A; and 45.10 to 55.0 min, 15% A. Samples were dissolved in methanol/DMSO (1:1, v/v) at a concentration of 1.0 mg/mL, filtered using a 0.45 μm syringe filter, and injected in 10 μL increments via an auto-ampler. Standard solutions (1.25, 2.5, 5, 10 mg/ml) of tricin, p-coumaric acid, and arbutin were prepared by diluting them in methanol/DMSO (1:1, v/v). The quantity of each component in the samples was determined by comparing the retention time and absorbance of the three standards.
RESULTS AND DISCUSSION
Establishment of Independent Variables for RSM
This study aimed to determine the optimal extraction conditions for maximizing the efficiency of antioxidant and whitening active compounds from S. quelpaertensis. RSM is recognized as an optimization tool that can identify the interrelationship between variables, as commonly utilized in experimental studies on food and plant extractions (Said et al. 2015).
The extraction process was carried out using ethanol extraction and hot-water extraction assisted by ultrasonic pretreatment. The independent variables were set differently according to the extraction methods. For ethanol extraction, variables such as ethanol concentration, extraction temperature, and extraction time were selected. In the case of hot water extraction, extraction time, extraction temperature, sample to solvent ratio, and irradiation time of ultrasound pretreatment were set as independent variables.
Experiments were initially conducted one factor at a time to establish the appropriate range of independent variables for the extraction process from S. quelpaertensis. Previous research commonly suggested extraction conditions of less than 8 h and temperatures below 95 °C to prevent the decrease of polyphenol compounds derived from natural products due to pyrolysis and polymerization (Vergara-Salinas et al. 2012).
The extraction process from S. quelpaertensis was carried out under conditions similar to those of hydrothermal extraction, with an extraction temperature ranging from 80 to 95 ℃ and an extraction time of 3 to 5 h. Additionally, ultrasound treatment was employed in bio-separation to overcome the limitations of hydrothermal extraction and enhance the extraction of valuable substances. The bubble-cavitation produced by ultrasound helps to break down the plant cell wall, facilitating the penetration of the solvent into the tissue and the diffusion of physiologically active substances within the cell in a short period of time (Chemat et al. 2017).
However, the range of ultrasound irradiation time was set within 30 min due to degradation and hydrolysis over a certain range. Three variables were considered for the ethanol extraction process. The levels of each factor were set as follows: ethanol concentration (20%, 50%, 80%), extraction temperature (25 °C, 50 °C, 70 °C), and extraction time (40 min, 2 h, 4 h, 8 h). Four extraction variables were applied for hot water extraction assisted ultrasound pretreatment. Extraction temperature, extraction time, sample-to-solvent ratio, and irradiation time were used to validate each independent variable.
The experimental conditions for ethanol extraction and hot water extraction were determined based on the antioxidant and whitening effects, respectively. In the ethanol extraction, conditions such as 20% ethanol concentration, 75 °C extraction temperature, and 2 h of extraction time exhibited the highest radical scavenging activity. The condition that included 75 °C extraction temperature, 2 h of extraction time, and a 1:10 solvent ratio demonstrated the most effective whitening effect.
The central composite design (CCD), which is one of the response surface methodology (RSM) models, was established for optimizing the extraction procedure. CCD was designed with three factors: central point, factorial point, and axial point, each with minimum and maximum ranges of factors.
The ethanol extraction process was done as shown in Table 3, and the design variables were ethanol concentration (0 to 88%), extraction temperature (23 to 81 ℃), and extraction time (2 to 8 h) based on previous studies and preliminary experiments for validity verification. Additionally, the hot water extraction-assisted process is detailed in Table 4, with design variables including extraction time (1 to 9 h), extraction temperature (23 to 95 ℃), sample-to-solvent ratio (7 to 23 g/mL), and ultrasonic irradiation time (0 to 32 min).
Table 3. Experimental Model Using Central Composite Design with Three Independent Variables for Ethanol Extraction of S. quelpaertensis Nakai
Independent variable present x1 =Concentration, x2=Temperature Time, x3=Time; Dependent variable showed value of antioxidant activity (y1)
The CCD for ethanol extraction with three factors consisted of 17 random designs, three center points, and six axial points at a distance of α=1.682 from the design center point. The CCD for hydrothermal-assisted ultrasonic extraction with four factors consisted of 27 experimental designs, four center points, and eight axial points at a distance of α=2 from the design center point.
Table 4. Experimental Model using Central Composite Design with Four Independent Variables for Hot Water Extraction Assisted Ultrasound Extraction of S. quelpaertensis Nakai
Optimization of Ethanol Extraction for Antioxidant Activity
The CCD method was employed for reaction surface analysis using Design-Expert software to optimize the ethanol extraction conditions of S. quelpaertensis. The adequacy and significance of the design model were determined through analysis of variance (ANOVA), as detailed in Table 5. The antioxidant activity was assessed using the DPPH method.
The model’s presented antioxidant activity value was significantly (p < 0.05) dependent on ethanol concentration, extraction temperature, and extraction time. The independent variables, x1 (concentration, %) and x3 (time, h), had a significant effect on the response value (p < 0.05). On the other hand, the independent variable x2 (temperature, ℃) did not have a significant effect on the response.
The antioxidant ability was significantly affected by ethanol concentration but not by temperature. This aligns with previous research on ethanol extraction of Ilex paraguariensis (Bassani et al. 2014), Fagopyrum esculentum (Hinneburg and Neubert 2005), and Rubus coreanus (Kang and Lee 2021).
The regression equation’s R2 value was used to check the model fit. A model is considered accurate when R2 is relatively close to 1. In this study, the R2 value obtained was 0.8788, which can be regarded as suitable. These results generally determine the adequacy of the model and identify optimal conditions.
The regression equation enables the prediction of the factor’s effect to assess the main effect, interaction effect, and total satisfaction. The predicted response S for the antioxidant activity of S. quelpaertensis Nakai can be expressed by the following polynomial equation in terms of coded values:
(3)
It is necessary to analyze the interaction effect when having two or more independent variables to check the mutual influence between them. The effect of the combination of two factors is shown in Table 5, with the interaction, including ethanol concentration, which is the most influential factor, revealing a relatively large effect. 3D response surface graphs were produced to visually represent the relationship between independent variables and dependent variables of regression using RSM.
Table 5. Analysis of Variance for Ethanol Extraction of S. quelpaertensis Nakai as Linear, Quadratic, and Interactions Terms on Response Variables
Figure 1 shows the response surface plots generated for a concentration range of 0% to 88% and a time range of 1 to 8 hours, with the temperature held constant at 52 °C. The model equation’s suitability was assessed using the selected optimal conditions: ethanol concentration of 54%, extraction temperature of 52 °C, and extraction time of 3 h, predicting a maximum response of 82.96%. Additional experiments under these optimal conditions were conducted to test reproducibility. The actual value of 83.65% aligned closely with the predicted value.
Fig. 1. Response surface for the effect of different extraction parameters (ethanol concentration, temperature) on antioxidant activity
Optimization of Hot Water Extraction for Whitening Effect
The CCD method was adopted to optimize the hot water extraction from S. quelpaertensis Nakai for whitening effects. Analysis of variance was applied to determine the adequacy and significance of the model, as detailed in Table 6.
A tyrosinase inhibition assay was performed to evaluate the whitening effect of S. quelpaertensis as the dependent variable. The independent variables included (extraction time), (temperature, ℃), (sample to solvent ratio, g/mL), (ultrasonic irradiation time, min). The adequacy and significance of the models were evaluated by analysis of variance (ANOVA) using RSM. The independent variables of ultrasonic irradiation time () and time () showed a significant effect (p < 0.05) on the tyrosinase inhibition activity response of the linear model.
Whereas the independent variable of sample to solvent ratio () showed no significant effect on the response, all other independent variables did not show significant terms in the quadratic model, with p > 0.05. In Table 7, the adjusted model value showed a significant fit with the quadratic model, with a p-value of 0.0198 (p < 0.05) after removing all non-significant independent variables. Regarding the whitening effect on tyrosinase inhibition activity, both ultrasonic irradiation time () and extraction time () showed a positive and significant quadratic effect, as shown in Table 7.
These findings imply that tyrosinase inhibition activity depends more on ultrasonic irradiation time and extraction time than other factors. Nonetheless, the results in this study showed a desirability value of 0.6255, which was not as high as predicted. However, similar values were revealed in other reports. For instance, Pinto et al. (2021) obtained a value for the extraction of chestnut shells using water and supercritical fluids, respectively. Belwal et al. (2016) obtained a value for the extraction of Berberis asiatica fruits using methanol. The regression equation for the adjusted quadratic model, after removing the non-significant variable, is as follows.
(4)
This equation is used to create 3D response surface graphs that visually depict the relationship between independent and dependent variables. Fig. 2 displays the response surface plots generated for ultrasonic irradiation time (ranging from 0 to 32 min) and time (ranging from 1 to 9 h), which are considered to have a positive impact, while maintaining the temperature constant at 1:19.
Table 6. Analysis of Variance for Hydrothermal Assisted Ultrasonic Extraction of S. quelpaertensis Nakai as Linear, Quadratic, and Interactions Terms on Response Variables
Table 7. Adjusted Analysis of Variance for Hot Water Extraction Assisted Ultrasound Extraction of S. quelpaertensis Nakai as Linear, Quadratic, and Interaction Terms on Response Variables
Fig. 2. Response surface for the effect of different extraction parameters (Ultrasonic irradiation time, time) on Tyrosinase inhibition activity
These optimal conditions were determined and validated according to the above process. The optimal conditions were selected as follows: extraction time (1 h), extraction temperature (41 °C), sample to solvent ratio (1:19), and ultrasonic irradiation time (8 min). Under these conditions, tyrosinase activity was expected to be 53.47%. Additional experiments were conducted in triplicate for reproducibility, and the observed values were similar to the predicted values, shown as 51.00±1.80%.
Phenolic Compounds Screening by HPLC analysis
Groups of natural compounds isolated from plants include flavonoids, lignans, terpenes, phenylpropanoids, alkenes, and organic acids. Phenolic compounds are representative antioxidants widely distributed in plant tissues (Ko et al. 2020). In a previous study, p-coumaric acid, tricin, and arbutin were selected as indicator components of S. quelpaertensis.
Qualitative and quantitative analysis of phenolic compounds from S. quelpaertensis extract under optimal conditions was conducted using high-performance liquid chromatography (HPLC). The phenolic compounds, such as p-coumaric acid and tricin, were selected as indicator substances, and arbutin, indicating a whitening effect, was tested and detected at different wavelengths. Among all the compounds detected and presented in Tables 8 and 9, p-coumaric acid and tricin were found in the ethanol extract, while p-coumaric acid, tricin, and arbutin were found in the hot water extraction extracts, respectively.
Table 8. Phenolic Profile of S. quelpaertensis Nakai Extract at Optimized Ethanol Extraction Condition
Table 9. Phenolic Profile of S. quelpaertensis Nakai Extract at Optimized Hydrothermal Extraction Condition
The contents of p-coumaric acid and tricin purified from ethanol extraction were estimated to be 2.408 and 0.683 μg/L, respectively, as shown in Figs. 3 and 4. The compounds tricin, p-coumaric acid, and arbutin purified from hot water extraction were estimated to be 0.22, 25.3, and 41.4 μg/L, as shown in Figs. 5 and 6. Polyphenolic compounds such as tricin and p-coumaric acid have been reported for their biological activities, including antioxidant properties and inhibition of cellular melanogenesis, according to previous research (Boo 2019). Although the concentration of p-coumaric acid was lower than 3 μM that was reported as a 50% inhibition activity concentration (IC50), the concentration could be increased through a concentration process (Boo 2019). Thus, the effect of treatment from S. quelpaertensis extract may be due to the combination of these phenolic compounds.
Fig. 3. HPLC chromatogram at 280 nm of S. quelpaertensis at optimized ethanol extraction
Fig. 4. HPLC chromatogram at 370 nm of S. quelpaertensis at optimized ethanol extraction
Fig. 5. HPLC chromatogram at 280nm of S. quelpaertensis at optimized hydrothermal extraction
Fig. 6. HPLC chromatogram at 370nm of S. quelpaertensis at optimized hydrothermal extraction
CONCLUSIONS
- The extraction process of Sasa quelpaertensis Nakai was optimized using central composite design of response surface methodology (RSM) to obtain optimal extract conditions with strong antioxidant activity using ethanol solvent or whitening effect using hydrothermal solvent. Two quadratic models were designed and validated to optimize the extraction process. The combination of 54% ethanol concentration, 52°C extraction temperature, and 3 h extraction time was established as the optimal conditions to achieve the highest antioxidant activity.
- The optimal conditions for achieving the highest whitening effect were determined as follows: extraction time of 1 h, extraction temperature of 41 °C, sample to solvent ratio of 1:19 g/mL, and ultrasonic irradiation time of 8 minutes. Under these optimal conditions, the experimental antioxidant activity was measured at 83.65±1.56, and the whitening effect was found to be 51.00±1.80. These experimental values were highly consistent with those predicted by the regression equation and the 3D graph.
- The phenolic compounds were identified under optimum conditions. Tricin was confirmed in ethanolic extracts and p-coumaric acid and arbutin were determined by high performance liquid chromatography (HPLC) analysis.
- Optimal conditions for ethanol and hot water extractions were identified by RSM analysis, and it is expected that this can be applied to the industrial utilization of S. quelpaertensis extract as cosmetic ingredient.
ACKNOWLEDGMENTS
This research was supported by Kyungpook National University Research Fund, 2023.
REFERENCES CITED
Al-Rajhi, A. M. H., Bakri, M. M., Qanash, H., Alzahrani, H. Y., Halawani, H., Algaydi, M. A., and Abdelghany, T. M. (2023). “Antimicrobial, antidiabetic, antioxidant, and anticoagulant activities of Cupressus sempervirens in vitro and in silico,” Molecules 28(21), article 7402. DOI: 10.3390/molecules28217402
Banharnahor, S. D. S., and Artanti, N. (2014). “Antioxidant properties of flavonoids,” Medicinal Journal of Indonesia 23(4), 239-244. DOI: 10.13181/mji.v23i4.1015
Bakri, M. M., Alghonaim, M. I., Alsalamah, S. A. and Abdelghany, T. M. (2024). “Impact of moist heat on phytochemical constituents, anti-helicobacter pylori, antioxidant, anti-diabetic, hemolytic and healing properties of rosemary plant extract in vitro,” Waste Biomass Valor. 15, 4965-4979. DOI:10.1007/s12649-024-02490-8
Bassani, D. C., Nunes, D. S., and Granato, D. (2014). “Optimization of phenolic and flavonoids extraction conditions and antioxidant activity of roasted yerba-mate leaves (Ilex paraguariensis A. St.-Hill., Aquifoliaceae) using response surface methodology,” Anais da Academia Brasileira de Ciências 86(2), 923-933. DOI: 10.1590/0001-3765201420130019
Belwal, T., Dhyani, P., Bhatt, I. D., Singh, R., and Pande, V. (2016). “Optimization extraction conditions for improving phenolic content and antioxidant activity in Berberis asiatica fruits using response surface methodology (RSM),” Food Chem. 207, 115-124. DOI: 10.1016/j.foodchem.2016.03.081
Blois, M. S. (1958). “Antioxidant determination by the use of a stable free radical,” Nature 16, 1199-1200. DOI: 10.1038/1811199a0
Boo, Y. C. (2019). “ρ-Coumaric acid as an active ingredient in cosmetics: A review focusing on its antimelanogenic effects,” Antioxidants 8(8), article 275. DOI: 10.3390/antiox8080275
Chemat, F., Rombaut, N., Sicaire, A. G., Meullemiestre, A., Fabiano-Tixier, A. S., and Abert-Vian, M. (2017). “Ultrasound assisted extraction of food and natural products. Mechanisms, techniques, combinations, protocols and applications. A review,” Ultrasonics Sonochemistry 34, 540-560. DOI: 10.1016/j.ultsonch.2016.06.035
Grégoire, S., Cubberley, R., Duplan, H., Eilstein, J., Lange, D., Hewitt, N., Jacques-Jamin, C., Klaric, M., Rothe, H., Ellison, C., Vaillant, O. and Schepky, A. (2017). “Solvent solubility testing of cosmetics-relevant chemicals: Methodology and correlation of water solubility to in silico predictions,” Journal of Solution Chemistry 46, 1349-1363. DOI: 10.1007/s10953-017-0652-5
Hinneburg, I., and Neubert, R. H. H. (2005). “Influence of extraction parameters on the phytochemical characteristics extracts from buckwheat (Fagopyrum esculentum) herb,” Agricultural and Food Chemistry 53(1), 3-7. DOI: 10.1021/jf049118f
Hoang, H. T., Moon, J. Y., and Lee, Y. C. (2021). “Natural antioxidants from plant extracts in skincare cosmetics: Recent applications, challenges and perspectives,” Cosmetics 8(4), article 106. DOI: 10.3390/cosmetics8040106
Kalil, S. J., Maugeri, F., and Rodrigues, M. I. (2000). “Response surface analysis and simulation as a tool for bioprocess design and optimization,” Process Biochemistry 35, 539-550. DOI: 10.1016/S0032-9592(99)00101-6
Kang, H., and Lee, S. G. (2021). “Antioxidant capacity of ethanol extracts and fractions from Rubus coreanus Miq,” J. Plant Biotechnol. 48(4), 264-270. DOI: 10.5010/JPB.2021.48.4.264
Kang, J. W., Chang, J. P., Yoo, J. H., Doh, E. S., and Kil, K. J. (2016). “Antioxidant activities of extracts from different parts of Sasa borealis,” The Korea Journal of Herbology 31, 45-52. DOI: 10.6116/kjh.2016.31.6.45.
Ko, H. C., Jang, M. G., Kim, J. W., Baek, S. Y., Lee, N. H., and Kim, S. J. (2020). “Elucidation of phytochemicals and antioxidants properties of Sasa quelpaertensis,” International Journal of Food Properties 24(1), 210-221. DOI 10.1080/10942912.2021.1873362
Lee, J. Y., Ko, H. C., Jang, M. G., and Kim, S. J. (2016). “Preparation and characterization of phytochemical-rich extract from Sasa quelpaertensis leaf,” J. Life Sci. 26, 1330-1335. DOI: 10.5352/JLS.2016.26.11.1330
Lee, S. B., Park, B. R., and Yoo, B. H. (2018). “Statistical optimization of antioxidant extraction from Broussonetia kazinoki using ultrasound-assisted extraction,” Appl. Chem. Eng. 29, 565-570. DOI:10.14478/ace.2018.1055
Lee, S. H., and Lee, M. S. (2017). “The research on antioxidant effect of Sasa quelpaertensis extratum and assessment of cytotoxicity,” Journal of the Korea Academia-Industrial 18(3). 687-693. DOI:10.5762/KAIS.2017.18.3.687
Marco, G. V., Ummat, V., Tiwari, B., and Rajauria, G. (2020). “Exploring ultrasound, microwave and ultrasound assisted extraction technology to increase the extraction of bioactive compound and antioxidants from brown macroalgae,” Marine Drugs 18, article 172. DOI: 10.3390/md18030172
Pinto, D. et al. (2021). “Optimizing the extraction of phenolic antioxidants from chestnut shells by subcritical water extraction using response surface methodology,” Food Chem. 334, article 127521. DOI: 10.1016/j.foodchem.2020.127521
Said, K. A. M., and Amin, M. A. M. (2015). “Overview on the response surface methodology (RSM) in extraction processes,” Journal of Applied Science & Process Engineering 2(1). DOI:10.33736/jaspe.161.2015
Sultana, N., and Lee, N. H. (2010). “A new alkene glycoside from the leaves of Sasa quelpaertensis Nakia,” Bull. Korean Chem. Soc. 31, 1088-1090. DOI: 10.5012/bkcs.2010.31.04.1088
Thong-on, W., Pathomwichaiwat, T., Boonsith, S., Koo-amornpattana, W., and Prathanturarug, S. (2021). “Green extraction optimization of triterpenoid glycoside-enriched extract from Centella asiatica (L.) Urban using response surface methodology (RSM),” Sci. Reports 11, article 22026. DOI: 10.1038/s41598-021-01602-x
Vergara-Salinas, J. R., Pérez-Jiménez, J., Torres, J. L., Agosin, E., and Pérez-Correa, J. R. (2012). “Effects of temperature and time on polyphenolic content and antioxidant activity in the pressurized hot water extraction of deodorized thyme (Thymus vulgaris),” J. Agric. Food Chem. 60(44), 10920-10929. DOI: 10.1021/jf3027759
Yagi, A., Kanbara, T., and Morinobu, N. (1987). “Inhibition of mushroom-tyrosinase by aloe extract,” Planta Med. 53(6). 515-517. 10.1055/s-2006-962798
Article submitted: May 23, 2024; Peer review completed: June 22, 2024; Revised version received and accepted: July 11, 2024; Published: July 24, 2024.
DOI: 10.15376/biores.19.3.6427-6443