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Article

Optimization of Enzyme-Assisted Extraction and Purification of Flavonoids from Pinus koraiensis Nut-Coated Film and Antioxidant Activity Evaluation

1
Department of Food Science and Engineering, Agricultural College, Yanbian University, Yanji 133000, China
2
Department of Food Science and Engineering, Fusion College, Yanbian University, Yanji 133000, China
3
Department of Food Science and Technology, Food College, Dalian Polytechnic University, Dalian 116000, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Molecules 2021, 26(7), 1950; https://doi.org/10.3390/molecules26071950
Submission received: 21 February 2021 / Revised: 20 March 2021 / Accepted: 25 March 2021 / Published: 30 March 2021

Abstract

:
Pinus koraiensis nut-coated film is a kind of by-product of nut processing, which has been shown to contain flavonoids, polyphenols, and other substances that can be used to produce natural antioxidant extracts. In this study, response surface methodology (RSM) was used to optimize the extraction process of flavonoids of P. koraiensis nut-coated film (PNF), and macroporous resin HPD600 was used to purify PNF (P-PNF). Its antioxidant activity was examined by DPPH (1,1-diphenyl-2-picrylhydrazyl) radical scavenging capacity, oxygen free radical absorption capacity (ORAC), total oxygen radical capture (TRAP), and iron ion reduction capacity. Under the ideal extraction conditions comprising a cellulase dosage of 90 U/g, a material/liquid ratio of 1:20 (g/mL), and an extraction time of 2 h, the PNF yield was 3.37%. Purification conditions were sample concentration of 2.0 mg/mL, pH of 5, water washing volume of 3 bed volume (BV), eluent ethanol concentration of 50%, and volume of 2 BV. The P-PNF recovery was 84.32%, and purity increased from 33.80% to 61.70%. Additionally, P-PNF showed increased antioxidant activity compared to PNF. Cumulatively, this study obtained the optimal values for the process parameters in order to achieve the maximum rates of extraction of PNF for economically optimal production at an industrial scale.

1. Introduction

Pinus koraiensis, the main tree species found on Changbai Mountain in northeastern China, is an important source of wood and a traditional medicinal plant. P. koraiensis nut, the seed nut of P. koraiensis, is a kind of nutritional and delicious food, usually used in pastry and traditional dishes, and as a snack food [1]. It is rich in lipids, protein, essential amino acids, polyphenols, and other substances [2]. Among the nutrients, P. koraiensis nut contains high oil content with unsaturated fatty acid up to 85% [3]. In particular, it was reported that the P. koraiensis nut oil contains pinolenic acid, which has been shown to have good bioactivity and could reduce the effects of high blood pressure [4]. Additionally, the protein [5] and polysaccharide [6] components of P. koraiensis nut were also proved to have good antioxidant and anti-inflammatory activities. Based on these beneficial ingredients, the deep processing industry of P. koraiensis nut has developed rapidly in recent years. What is noteworthy is that in the processing of P. koraiensis nut, a large number of by-products are produced, such as the P. koraiensis nut-coated film. However, currently, few studies have actually investigated the value of this nut-coated film. In the meantime, the nut-coated film continues to be discarded, potentially wasting a valuable resource. Our previous research found that the P. koraiensis nut-coated film contained polyphenols, flavonoids, and other ingredients (Table A1 in Appendix A), having the research value. Flavonoids, a class of plant-derived dietary polyphenols, are consumed in the human diet in fruits, cereals, spices, and other plant-based products [7,8]. Flavonoids have a broad range of pharmacological properties, including anti-inflammatory, antitumor [9], stabilization of immune cells [10], and others, which are associated with the antioxidant activity of flavonoids [11]. Hence, designing a method for the effective extraction of flavonoids from P. koraiensis nut-coated film (PNF) will improve the resource utilization rate.
Commonly employed extraction methods for flavonoids include solvent extraction, ultrasonic assisted extraction, microwave assisted extraction, enzyme-assisted extraction, and others [12]. Enzyme-assisted extraction offers advantages such as high efficiency and mild conditions, while ensuring maintenance of the properties and stability of the extraction [13]. Hence, it has been widely used in the extraction of biologically active ingredients from plants. Moreover, the activity of flavonoids is reportedly positively associated with its purity [14], highlighting the need for an appropriate purification method for PNF following their extraction. Macroporous resin, an organic polymer adsorbent, is one such method that is commonly used for purifying flavonoids, which offers the advantages of a simple protocol and good physicochemical stability [15].
The current study sought to verify the feasibility of enzyme-assisted extraction and macroporous resin purification for PNF, while determining the ideal extraction conditions (cellulase dosage, material/liquid ratio, and extraction time) and purification conditions (sample concentration, pH, eluent concentration, and washing volume). To this end, the in vitro antioxidant activities of flavonoids from the P. koraiensis nut-coated film before and after purification were assessed on the basis of DPPH radical scavenging capacity, total oxygen radical capture (TRAP) value, oxygen free radical absorption capacity (ORAC) value, and iron ion reduction capacity.

2. Results

2.1. Optimization of the Extraction Conditions

The following test schemes and results were obtained by a three-factor analysis of cellulase dosage, material/liquid ratio, and extraction time by the response surface method (RSM; Table 1).
The regression model obtained by regression fitting the result of PNF yield was:
Y = 3.41667 + 0.00875X1 + 0.16000X2 − 0.02375X3 + 0.04042X12 − 0.29208X22
0.18458X32 + 0.01000X1X2 − 0.00250X1X3 + 0.01500X2X3
Using the same method, the formula determined for ABTS+ clearance rate was:
Y = 87.6400 − 0.2737X1 + 2.4438X2 − 0.7125X3 − 3.1463X12 − 5.2263X22 +
0.3612X32 + 1.8225X1X2 − 0.2550X1X3 + 0.2200X2X3
R2 (coefficient of determination), an indicator used as a measure of model suitability and model, can indicate the relationship between the experimental and predicted values of the response. The closer R2 is to 1, the more accurate the model is [16]. The R2 of the regression model were 89.63% and 97.78%, respectively. The p-values of the regression model were all significant (p < 0.05), while the lack-of-fit were not significant (p > 0.05) (Table 2). The quadratic model best described the true relationship between each factor and the response value to fit the experimental results.
Table 3 presents the results of a comprehensive analysis for the response surface, highlighting the effects of various factors on PNF yield in the following order: material/liquid ratio > extraction time > dosage of cellulase. The results of X2, X22, and X32 for PNF yield were significant, while the other terms were not. The interaction terms were X2X3, X1X2, X1X3 in order of influence, and the effects were not significant, indicating that the factors were not linear. The results of X2, X12, and X22 for ABTS+ clearance rate were significant, while the other terms were not. The influence of X2 was significant, as was the influence of the squared items X12 and X22. The interaction items were arranged in the order X1X2, X1X3, and X2X3, with X1X2 found to have a significant influence.
The three-dimensional response surface and the two-dimensional contour plots were provided as graphical representations of the regression equation [17]. Figure 1 shows the influence on flavonoid yield. When the extraction time was 2 h, and the material/liquid ratio was gradually increasing, the flavonoid yield first increased and then decreased, while no significant effect on cellulase dosage was observed (Figure 1a). When the material/liquid ratio was 1:20, with a gradual increase in extraction time, the flavonoid yield first increased and subsequently decreased, while no significant impact on enzyme dosage was observed (Figure 1b). Figure 1c presents the effects of the material/liquid ratio, extraction time, and their reciprocal interaction on the flavonoid yield at a cellulase dosage of 90 U/g. As the material/liquid ratio and extraction time increased, the flavonoid yield initially increased and then decreased. The interaction of these two factors was better than that of X1X2 and X1X3. Figure 2 depicts the effect of these three factors on ABTS+ clearance rate. Results showed that the material/liquid ratio and extraction time significantly influenced the ABTS+ clearance rate (Figure 2a).
According to the regression model, the optimal process parameters were determined as follows: cellulase dosage was 90.13 U/g, material/liquid ratio was 1:21.6 (g/mL), extraction time was 1.98 h, acetone volume fraction was 50%, extraction temperature was 55 ℃, and pH was 4.5. The theoretical value of the PNF yield predicted by the regression model was 3.44%, and the ABTS+ clearance rate was 87.36%. Taking practical feasibility into account, the extraction conditions of PNF were adjusted to a theoretical value of cellulase dosage of 90 U/g, a material/liquid ratio of 1:22, extraction time of 2 h, extraction temperature of 55 °C, acetone volume fraction of 50%, and pH of 4.5. Five parallel experiments were performed, and the average yield of total flavonoids was 3.37% with an RSD value of 1.78%. The average ABTS+ clearance rate value was 88.14% with an RSD value of 1.70%. The verification results were similar to the predicted values, indicating that the model was well fitted to the experiment, and the extraction conditions of PNF obtained by the RSM were reliable.

2.2. Optimization of the Purification Conditions

PNF was treated with macroporous resin to obtain purified flavonoids (P-PNF). Three macroporous resins selected after screening were all fast-balanced, and the adsorption equilibrium was reached after 4 h (Figure A1), resulting in the adsorption time being defined as 4 h. Since HPD600 had the highest adsorption rate, it was selected for PNF purification, and the adsorption time was determined to be 4 h. The extract solution (4.91 mg/mL) was loaded into the column at a flow rate of 1.0 mL/min. From the start of the assay, the effluent was collected at intervals of 5 mL, and the concentration was measured to prepare dynamic adsorption kinetics for P-PNF from HPD600 (Figure A2 in Appendix A). No flavonoids were present in the first three collection tubes; however, they were detected in the fourth collection tube, indicating that the flavonoids began to flow. The mass concentration of flavonoids was found to be 0.52 mg/mL in the sixth collection tube, after which their concentration of flavonoids remained relatively unchanged in the subsequent collection tubes, indicating that the adsorption was substantially saturated. To ensure that there was no waste due to leakage, and to take full advantage of the PNF and macroporous resin, 15 mL was selected as the maximum loading. PNF with a pH of 6 and a concentration of 1.5 mg/mL was dynamically loaded, and the flow rate was controlled at 1 mL/min. Then, macroporous resin was washed with 4 bed volume (BV) distilled water followed by 90% ethanol solution. The eluent was collected in one portion per 10 mL for a total of 15 portions (Figure A3 in Appendix A). As the eluent volume increased, the flavonoids in the collection tube gradually increased. In the fifth tube when the liquid volume reached approximately 1 BV, the flavonoid content was the highest. Thereafter, the flavonoid content in the eluate rapidly declined. Ultimately, an eluent amount of 2 BV was determined to fully elute the flavonoid on the macroporous resin and was therefore set as the optimum amount of eluent.
According to the results of the single factor test, sample concentration, pH, eluent concentration, and water washing volume were selected as factors. The L9 (34) orthogonal table was designed and analyzed by variance. The impact of various factors on flavonoid recovery were as follows: sample concentration > pH > eluent concentration > water washing volume. Among them, the eluent concentration and pH had extremely significant (p < 0.01) effects on purified flavonoids (Table 4 and Table 5). The optimal condition for flavonoid purification by macroporous resin was A3B1C2D1, i.e., the sample concentration of 2.0 mg/mL, pH of 5, ethanol eluent concentration of 50%, and water washing volume of 3 BV. Accordingly, the verification experiment was carried out under the above experimental conditions. The parallel experiment was averaged three times to obtain a flavonoid recovery rate of 84.32%, which was greater than the results in the orthogonal experiment. The purity was increased from 33.80% of PNF to 61.70% of P-PNF.

2.3. In Vitro Antioxidant Activity

The DPPH radical scavenging activity in each sample is shown in Figure 3a, while ascorbic acid (VC) and butylated hydroxytoluene (BHT) served as the positive controls. The IC50 values of PNF, P-PNF, BHT, and VC of DPPH free radical clearance activity were 9.832, 8.636, 174.911, and 5.502 µg/mL, respectively. A dose-dependent relationship was observed in the DPPH scavenging activity of PNF and P-PNF, that is, an increase in concentration was synonymous with an increase in scavenging capacity. When the concentration ranged from 2 to 32 µg/mL, the scavenging ability of P-PNF was consistently superior to that of PNF and below the VC. However, when the concentration was greater than 16 µg/mL, the free radical scavenging ability of VC and P-PNF on DPPH tended to balance. In particular, when the concentration reached 64 μg/mL, the antioxidant effect of PNF, P-PNF, and VC was almost the same, which is because the DPPH free radical scavenging ability of these substances reached saturation.
The standard Trolox curve equation was Y = 0.64390X − 0.50745, R2 = 0.99369. Figure 3b shows that the ORAC value of VC (11,029 mol TE/g) was the highest, followed by that of tea polyphenols (8,412 mol TE/g) and P-PNF (2,357 mol TE/g). Compared with the ORAC value of PNF (1,741 mol TE/g), the ORAC of P-PNF was significantly higher (p < 0.05), indicating that purification could effectively improve the ORAC value of PNF. The TRAP value is the reaction between the free radicals generated by AAPH and ABTS interference by the antioxidant. The TRAP of every sample was determined, and the results are shown in Figure 3c. The TRAP value of each sample increased with increasing mass concentration and showed a dose-dependent relationship. Moreover, the TRAP value of P-PNF was higher than that of BHT, indicating that P-PNF had better antioxidant capacity.
The iron ion reduction capacity is an important index for determining the antioxidant capacity of plants. This method of analysis is fast and effective and thus widely used. Figure 3d shows a dose-dependent relationship between sample iron ion reduction capacity and sample concentration. P-PNF showed good iron ion reduction capacity (0.029 ± 4.88%–0.334 ± 0.63%), which was stronger than that of PNF (0.021 ± 6.73%–0.172 ± 2.06%) and BHT (0.008 ± 3.53%–0.285 ± 0.49%) at the same concentration; however, it was slightly lower than VC (0.027 ± 5.24%–0.756 ± 0.19%), indicating the P-PNF had strong reducing power.

3. Discussion

In this study, the extraction and purification conditions of PNF were optimized, and the antioxidant activity of flavonoids before and after purification were detected.
Extraction is a key step in the separation of bioactive compounds from plant materials. A proper selection of conditions, including an appropriate technology and solvents, can yield highly reactive products. Currently, there are many methods for the preparation of flavonoids, including water extraction, solvent extraction, supercritical fluid extraction, ultrasonic extraction, microwave-assisted extraction, etc. [18]. The advantages of these extraction methods include increased extraction yield and decreased extraction time. However, the disadvantages of these are obvious, including expensive equipment, small scale, and environmental pollution, which are not suitable for the application of by-product processing [19]. Consequently, with the pursuit of the concept of “green chemistry”, people are looking for environmentally friendly and efficient extraction methods to improve the recovery rate and biological utilization. Enzymatic extraction has shown several advantages because of its environmental friendliness and enhanced extraction ability or recovery of targeted compounds under mild processing conditions [20]. Enzyme reaction can effectively destroy cellulose, hemicellulose, pectin, and other material structures of plant cells, so that the flavonoids are easier to be released and the extraction rate is increased [21]. Cellulase and pectinase are two kinds of biological enzymes that are widely used at present. Studies have shown that under the same conditions, the extraction yield of Zizania latifolia flavonoid with an enzyme mixture (cellulose, hemicellulose, and pectinase) treatment (17.5%) was the highest and resulted in a significant increase as compared to the non-hydrolyzed extract (10.7%) [22]. Cellulase-assisted acetone extraction was used to extract PNF in our study, and the yield reached 3.37%. In addition, the ABTS free radical scavenging rate was tested in order to verify the antioxidant activity of PNF. The results showed that the ABTS free radical scavenging rate of PNF was 88.14%, which strongly proved that PNF had the potential to be a natural antioxidant.
Natural antioxidants are widely used as food additives for anti-corrosion, sterilization, the blocking of oxidation reaction, etc., so as to extend the shelf life of food [23]. The by-products (such as leaves, branches, cones, shells, etc.) from the processing of forest resources are rich reservoirs of plant antioxidants, which are worthwhile to study and utilize [24]. Flavonoids, as good natural antioxidants, can eliminate nitrogen and reactive oxygen species by scavenging free radicals [25], which is related to their structural conformations, p-electron delocalization, potential polarizability, hydroxyl groups distributed in flexible ring B, and functional groups [26]. In addition, the purified flavonoids have stronger antioxidant effects than the crude extracts, which is related to the purity of flavonoids. After purification by macroporous resin, the antioxidant capacity of flavonoids from Glycyrrhiza glabra L. leaf was increased by 2–3 times [27]. The scavenging rates of DPPH and ABTS free radicals of 100 μg/mL purified flavonoids from Moringa oleifera leaves were 85.99% and 84.79%, respectively [28]. Thus, in order to further study the activity of the extracts, the components needed to be purified and enriched before processing. There are several methods for the enrichment of active constituents, such as membrane filtration [29], ion exchange [30], expanded bed adsorption [31], and resin adsorption [32]. Comparatively, macroporous resin adsorption seems to be the most suitable method due to its high efficiency, environmental protection, low cost, and so on [33], and is suitable for industrial and large-scale production. The purity of flavonoids from Scutellariae barbatae herbs was increased by 1.16 times by macroporous resin [34], and after purification with macroporous resin, the purity of oak cup flavonoids reached 77.00% [35]. These studies indicated that macroporous resin can effectively enrich and purify flavonoids from raw materials. HPD600 macroporous resin was selected to purify PNF in our study, and the purity was increased from 33.80% to 61.70%. The results of antioxidant testing showed that both PNF and P-PNF had good antioxidant activity, and the antioxidant activity of P-PNF was much better than that of PNF. Additionally, in general, the antioxidant effect of P-PNF was better than that of BHT (Figure 3). BHT, as one of the widely used synthetic antioxidants, despite the low cost advantage, is considered to have a cancer risk [36]. Consequently, as a natural antioxidant obtained from processing by-products, P-PNF has wide application prospects. Metal ions and water have important mechanisms in the process of radical scavenging capacity [37]. Flavonoids can form complexes with Fe and Cu and thus have a stronger reaction with DPPH when compared to compounds without metal ions [38]. In the presence of water, the kinetics of the DPPH radical reaction increases. The water may be related to the impurities in the extraction solvent or the humidity of the extracted plant material [39]. ORAC value and TRAP are the rapid methods to determine total antioxidant capacity in biological samples [40]. The iron ion reduction capacity is generally associated with the presence of antioxidant agents, which exert their effect by breaking the free radical chains via hydrogen atom donation. In terms of concentration, there was a dose-dependent relationship between the concentration and the antioxidant activity of P-PNF. From a structural point of view, the antioxidant activity of flavonoids depends on the number and position of substituents in the molecule [41]. Therefore, in order to further explain the antioxidant activity of P-PNF, it is necessary to conduct subsequent tests to analyze the structure of P-PNF. In addition, the cell or animal tests are also considered to arrange to verify the antioxidant activity in vivo so as to improve the utilization value of P. koraiensis nut-coated film.

4. Materials and Methods

4.1. Plant Materials

P. koraiensis nut was provided by Meihekou Siquan Native Products Co., Ltd. (Jilin, China). The sample was dried at 50 °C using a 1400032S draught drying cabinet (Shanghai Hengke Instrument Co., Ltd., Shanghai, China), ground by an SB-10A multifunctional grinder (Shanghai Puheng Information Technology Co., Ltd., Shanghai, China), and passed through a 40 mesh screen to extract the flavonoids.

4.2. Extraction Conditions Optimization

4.2.1. Enzyme-Assisted Extraction

PNF was extracted by enzyme-assisted solvent extraction. Acetone (analytically pure, Tianjin Kemiou Chemical Reagent Co., Ltd., Tianjin, China) was chosen as the extraction solvent and cellulase (30 U/mg, from Trichoderma viride) (Beijing Boao Tuoda Science and Technology Co., Ltd., Beijing, China) as the hydrolase, and 0.1 mol/L HCl solution was used to adjust pH. Cellulase and acetone were added to the sample and left to soak at 25 ℃ for 0.5 h. PNF was obtained by filtration, collection of the filtrate, enzyme deactivation at 90 ℃ for 10 min, and subsequently freeze drying (LGJ-10 freezer dryer; Beijing Sihuan Scientific Instrument Factory, Beijing, China). Rutin standard sample was purchased from the China National Institute for the Control of Pharmaceutical and Biological Products and NaNO2-Al(NO3)3 colorimetry was used to construct the standard curve [42]. The linear equation was Y = 0.014X + 0.0167, R2 = 0.9958. A constant solution volume of 2 mL was used to calculate the concentration of flavonoids in the sample solution according to the linear equation. The flavonoid yield was calculated as follows:
Flavonoids   yield   %   =   CNV m   ×   100 %
where V is the volume of the sample solution (mL), N is the determined dilution, C is flavonoid concentration calculated according to the standard curve, and m is mass of the sample (g).

4.2.2. RSM Experimental Design

The optimum extraction conditions for PNF were optimized by RSM. A single factor test was performed using six factors including cellulase dosage (60–130 U/g), acetone volume fraction (10–80%), material/liquid ratio (1:10–1:70, g/mL), extraction time (1–4 h), extraction temperature (30–60 °C), and pH (3.5–6.5). Following the analysis and comparison of the single factor test results, three factors were selected as independent variables: cellulase dosage (X1), material/liquid ratio (X2), and extraction time (X3). Each factor was assessed at three levels.

4.2.3. ABTS Radical Scavenging Assay

The ABTS+ clearance rate of PNF was measured according to the method of Pan [43] with some minor modifications. ABTS (2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonicacid); 7.4 mmol/L) (Beijing Boao Tuoda Science and Technology Co., Ltd., Beijing, China) and potassium persulphate (2.6 mmol/L; Tianjin Fuchen Chemical Reagent Factory, Tianjin, China) were mixed at a ratio of 1:1 (v:v). The mixture was prepared into ABTS reserve solution at room temperature in the dark for 24 h. ABTS working solution was obtained by diluting ABTS reserve solution with 60% ethanol (analytically pure, Tianjin Kemiou Chemical Reagent Co., Ltd., Tianjin, China). The ABTS working solution (3.8 mL) was then mixed with 0.1 mL of the sample at room temperature for 6 min, after which the absorbance was measured at 734 nm and the clearance rate was calculated as follows:
Clearance   rate   %   = 1     A 1     A 2 A 0   ×   100 %
where A1 represents the absorbance of the 3.8 mL ABTS and 0.1 mL sample solution mixture, A2 is the absorbance of the mixture of 3.8 mL distilled water and 0.1 mL sample solution mixture, and A0 is the absorbance of the mixture of 3.8 mL ABTS and 0.1 mL ethanol mixture.

4.3. Purification Conditions Optimization

4.3.1. Selection and Preparation of Macroporous Resin

Considering that phenolics contain non-polar phenyl groups and polar multi-hydroxyl groups, five macroporous resins with various polarities were employed, including AB-8, D101 (Tianjin Huida Chemical Co., Ltd., Tianjin, China), HP-20, HPD600, and HPD826 (Beijing Solis Bao Technology Co., Ltd., Beijing, China). The pretreatment of macroporous resins was carried out according to the method of Belwala [44] with minor modifications. All macroporous resins were soaked with 95% ethanol for 24 h before installing the column using the wet method, and 95% ethanol was then used for flow elution on the column. When ethanol effluents were mixed with distilled water without white turbidity, the distilled water was used to wash the ethanol from the column. The resins were then soaked with 2 BV 5% HCl for 3 h and washed with distilled water until neutral. Next, 5% NaOH was used to repeat the procedure in place of HCl. Adsorption and desorption capacities of the five macroporous resins are shown in Figure A1.
The static adsorption kinetics of the three selected kinds of ideal macroporous resins were investigated according to the methods of Jiang [45] with minor modifications. A total of 10 g of each macroporous resin was added to the sample solution (2.75 mg/mL, 100 mL). The mixture was shaken at 25 °C, and 1 mL of the solution was removed each hour to generate the static adsorption kinetic curve.

4.3.2. Purification of PNF

PNF was purified by macroporous resin to obtain P-PNF. Sample concentration (1.0–3.0 mg/mL), pH (4–8), eluent concentration (50–90%), and water washing volume (2–6 BV) were selected as single factor tests. Through the analysis and comparison of the results, the orthogonal experiment for the four factors and three levels was designed to determine the purifying conditions. To achieve this, 1 mL of every 150 mL recovered liquid was taken for absorbance determination. The flavonoid concentration was determined according to the rutin standard curve, and the flavonoid recovery rate was calculated as follows:
Flavonoid   recovery   %   =   X 1 V 1 X 2 V 2   ×   100 %
where X1 is concentration of flavonoids in the recovered liquid (mg/mL), V1 is the volume of the recovered liquid (mL), X2 is the concentration of flavonoids in the sample liquid (mg/mL), and V2 is the sample volume (mL).
P-PNF was dissolved in 60% ethanol, and the concentration of the flavonoids was calculated according to the rutin standard curve, while the purity was calculated as follows:
Purity   %   =   CNV m   ×   100 %
where C represents the flavonoid mass concentration (mg/mL), N is the dilution factor when the sample liquid is measured, V is the volume of the sample solution (mL), and m is the mass of the sample (mg).

4.4. In Vitro Antioxidant Activity

4.4.1. DPPH Radical Scavenging Activity

The method of DPPH radical scavenging activity was measured as suggested by previous reports with appropriate modifications [46]. DPPH (1,1-diphenyl-2-picrylhydrazyl) (Shanghai Yuanye Biotechnology Co., Ltd., Shanghai, China) reserve solution of 0.15 mmol/L was prepared and diluted with anhydrous ethanol to obtain DPPH working solution. A sample solution at a volume of 2 mL was added to 2 mL of DPPH working solution. The mixture was placed in the dark for 30 min and the absorbance was measured by a UV-1800 VIS spectrophotometer (Shanghai Meipuda instrument Co., Ltd., Shanghai, China) at 517 nm. The clearance rate was calculated as follows:
Clearance   rate   %   = ( 1     A 1     A 2 A 0 ) ×   100 %
where A1 is the absorbance of the mixture of 2 mL sample solution and 2 mL DPPH, A2 is the absorbance of the mixture of 2 mL sample solution and 2 mL ethanol, and A0 is the absorbance of the mixture of 2 mL DPPH and 2 mL ethanol.

4.4.2. Determination of ORAC

The ORAC assay was conducted according to the literature with slight modification [47]. First, 79.7 mmol/L AAPH (2,2′-azobis-2-methyl-propanimidamide, dihydrochloride) (Beijing Boao Tuoda Science and Technology Co., Ltd., Beijing, China) solution and 0.0957 mmol/L sodium fluorescein (Beijing Boao Tuoda Science and Technology Co., Ltd., Beijing, China) solution were respectively configured by phosphate buffer (pH 7.4). The phosphate buffer was also used to prepare Trolox (Shanghai Yuanye Biotechnology Co., Ltd., Shanghai, China) solution with different concentrations to determine the standard curve. Then 20 μL sample and 200 μL sodium fluorescein solution were added into each microhole of the 96-well fluorescent plate (Shanghai Jingan Biotechnology Co., Ltd., Shanghai, China) and incubated at 37 °C for 10 min. Finally, 20 μL of AAPH solution was rapidly added to activate the reaction. The Sp-Max 3500FL type multifunctional luciferase marker (Shanghai Shanpu Biological Technology Co., Ltd., Shanghai, China) was used to measure the absorbance. The fluorescence at the excitation wavelength of 485 nm and the emission at 528 nm were monitored once every 270 s for a total of 35 times. A standard curve of fluorescence intensity was recorded as f1, f2, f3..., f35. The area under the fluorescence attenuation curve was calculated as follows:
AUC = ( 0.5   ×   f 1 f 1   +   f 2 f 1   + +   f 35 f 1   +   0.5   ×   f 35 f 1 ) ×   t
where f1 is the first fluorescence reading value, fi is intensity multiplied by fluorescence reading value, and t is the time interval (min).
The ORAC value was calculated as follows:
ORAC   value   =   AUC sample     AUC blank AUC Trolox     AUC blank   ×   C Trolox C sample
where AUCsample is the area under the fluorescence attenuation curve of the sample group, AUCblank is the area under the fluorescence attenuation curve of the blank sample group, the area under the fluorescence attenuation curve of AUCTrolox is the Trolox standard antioxidant group, CTrolox is the Trolox concentration (mol/L), and CSample is the sample concentration (mol/L). Our final ORAC value is represented as moles of TE/g.

4.4.3. Determination of TRAP

TRAP was determined according to the methods described by Shen [48] with slight modification. AAPH and ABTS of a certain mass were respectively weighed and dissolved in the acetate buffer (pH 4.3) and were configured into the AAPH solution and ABTS solution with a concentration of 2 mmol/L and 75 mol/L. Next, 5 mL of the mixed solution was transferred to the test tube followed by 80 μL of the sample solution. The absorbance value at 734 nm wavelength was determined following incubation in a water bath at 25 °C for 15 min. Acetic acid buffer (50 mmol/L) was used as the blank reference, and 1 mmol/L VC (Sinopharm Group Chemical Reagent Co., Ltd., Beijing, China) solution was taken as the standard reference. The antioxidant parameters of TRAP were calculated as follows:
TRAP   value   =   A sample     A blank A standard     A blank   ×   C standard
where C is VC concentration and A is absorption value. TRAP value is equivalent to the mmol/L of VC.

4.4.4. Determination of Iron Ion Reduction Capacity

Iron ion reduction capacity was assayed according to the methods described by Atki [49] with minor modifications. Briefly, 1.5 mL of sample solution, 2 mL of phosphate buffer (pH 6.6), and 2 mL of 5% potassium ferricyanide (Tianjin Kemiou Chemical Reagent Co., Ltd., Tianjin, China) were mixed. After the mixture was bathed at 50 °C for 20 min, 2.5 mL of 10% trichloroacetic acid (analytically pure, Tianjin Kemiou Chemical Reagent Co., Ltd., Tianjin, China) solution was added and centrifuged for 10 min (4000 rpm). The supernatant (2 mL) was taken and combined with 2 mL of distilled water and 0.3 mL of 0.1% FeCl3 (analytically pure, Tianjin Kemiou Chemical Reagent Co., Ltd., Tianjin, China) to develop the color. The mixture was incubated at room temperature for 10 min, and then the absorbance value was measured at 700 nm. The Fe3+ total reducing ability was calculated as follows:
Fe 3 +   total   reducing   ability   =   A 1     A 0
where A1 is the absorption value of mixture and A0 is the absorption value of 60% ethanol solution instead of sample solution.

4.5. Statistical Analysis

Analysis of variance (ANOVA) and Duncan’s multiple range tests at p < 0.05 were conducted to determine the differences between treatments. Statistical analyses were carried out using the Design-Expert v11 software (Stat-Ease, Inc., Minneapolis, MN, USA).

5. Conclusions

Through this study, a mild method for efficient extraction and purification of PNF was established. The antioxidant in vitro activity assay of flavonoids showed that P-PNF had stronger antioxidant capacity than PNF, indicating that it should be investigated as a natural antioxidant. However, this study did not elucidate the molecular structure of PNF, and there were no cell or mouse studies to assess the antioxidant properties of PNF in vivo, both of which warrant further investigation. In conclusion, the experimental results of the study provide important insights for the development and utilization of PNF while offering theoretical guidance for the further processing and application of industrial by-product resources.

Author Contributions

Data analysis, M.Z. and W.M.; Data collection, M.Z., W.M., C.W., X.Y., Y.L. and X.X.; Figure, C.W., X.Y., Y.L. and X.X.; Funding acquisition, H.X.; Investigation, M.Z. and W.M.; Methodology, M.Z.; W.M. and H.X.; Writing—original draft, M.Z. and W.M.; Writing—review and editing, M.Z., W.M., C.W., X.Y., Y.L., X.X. and H.X. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Key Project of Science and Technology Research of the “Thirteen Fivem” Education Department of Jilin Province (JJKH20180885KJ).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Most of the recorded data are available in all Tables and Figures in the manuscript.

Acknowledgments

We thank Meihekou Siquan Native Products Co., Ltd. for providing P. koraiensis nut.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. Composition of Pinus koraiensis nut-coated film.
Table A1. Composition of Pinus koraiensis nut-coated film.
IndicatorContent (%)
Protein4.63
Axunge0.18
Total sugar2.79
Reducing sugar1.90
Flavone2.83
Polyphenol2.96
VC0.03
Table A2. Analysis of variance of optimal regression equation describing flavonoid yield and ABTS clearance rate by response surface methodology.
Table A2. Analysis of variance of optimal regression equation describing flavonoid yield and ABTS clearance rate by response surface methodology.
SourceDFSeq SSAdj SSFP
Regression90.6445680.0716194.800.049
Linear30.2099250.0699754.690.065
Square30.4333180.1444399.680.016
Interaction30.0013250.0004420.030.992
Residual Error50.0745920.01491814.560.065
Lack-of-Fit30.0713250.023775
Pure Error20.0032670.001633
Total14
Regression9198.43322.048224.500.001
Linear352.43617.478719.420.003
Square3132.25844.085948.980.000
Interaction313.7404.57995.090.056
Interaction313.7404.57995.090.056
Residual Error54.5000.90012.810.273
Lack-of-Fit33.6391.2129
Pure Error20.8620.4309
Total14
Note: Above the dotted line is the analysis of variance of flavonoids; below the dotted line is the analysis of variance of ABTS clearance rate. SS–sum-of-squares, df–degrees of freedom, MS–mean squares.
Table A3. Adsorption and desorption capacity of 5 macroporous resins.
Table A3. Adsorption and desorption capacity of 5 macroporous resins.
Serial NumberResin ModelPolaritySpecific
Surface Area (m2/g)
Balanced
Concentration of Flavonoids in
Solution (mg/mL)
Adsorption Amount (mg/g)Adsorption Rate (%)Eluent Mass
Concentration (mg/mL)
Desorption Rate (%)
1AB-8Weak polarity450–5000.0655712.995795.19650.795861.2385
2HP-20Non-level550–6000.1013412.638192.57640.766160.6132
3HPD600Polarity550–6000.0894212.757293.44980.837665.6542
4HPD826Hydrogen bond500–6000.1251912.399690.82970.652852.6442
5D101Group polarity480–5200.1132712.518891.70310.727958.1429
Figure A1. Static adsorption kinetic curves.
Figure A1. Static adsorption kinetic curves.
Molecules 26 01950 g0a1
Figure A2. Dynamic adsorption kinetic curves of HPD600.
Figure A2. Dynamic adsorption kinetic curves of HPD600.
Molecules 26 01950 g0a2
Figure A3. Curves of dynamic desorption.
Figure A3. Curves of dynamic desorption.
Molecules 26 01950 g0a3

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Figure 1. The effect of cellulase dosage (X1), material/liquid ratio (X2), and extraction time (X3) on flavonoid yield. (a) The interaction between cellulase dosage and material/liquid ratio; (b) the interaction between cellulase dosage and extraction time; (c) the interaction between material/liquid ratio and extraction time.
Figure 1. The effect of cellulase dosage (X1), material/liquid ratio (X2), and extraction time (X3) on flavonoid yield. (a) The interaction between cellulase dosage and material/liquid ratio; (b) the interaction between cellulase dosage and extraction time; (c) the interaction between material/liquid ratio and extraction time.
Molecules 26 01950 g001aMolecules 26 01950 g001b
Figure 2. The effect of cellulase dosage (X1), material/liquid ratio (X2), and extraction time (X3) on ABTS+ clearance rate. (a) The interaction between cellulase dosage and material/liquid ratio; (b) the interaction between cellulase dosage and extraction time; (c) the interaction between material/liquid ratio and extraction time.
Figure 2. The effect of cellulase dosage (X1), material/liquid ratio (X2), and extraction time (X3) on ABTS+ clearance rate. (a) The interaction between cellulase dosage and material/liquid ratio; (b) the interaction between cellulase dosage and extraction time; (c) the interaction between material/liquid ratio and extraction time.
Molecules 26 01950 g002aMolecules 26 01950 g002b
Figure 3. In vitro antioxidant activity of P. koraiensis nut-coated film (PNF) and purified P-PNF. (a) DPPH radical scavenging activity; (b) oxygen free radical absorption capacity (ORAC) value; (c) total oxygen radical capture (TRAP) value; (d) iron ion reduction capacity.
Figure 3. In vitro antioxidant activity of P. koraiensis nut-coated film (PNF) and purified P-PNF. (a) DPPH radical scavenging activity; (b) oxygen free radical absorption capacity (ORAC) value; (c) total oxygen radical capture (TRAP) value; (d) iron ion reduction capacity.
Molecules 26 01950 g003
Table 1. Design proposal and result of response surface experiment.
Table 1. Design proposal and result of response surface experiment.
Test NumberX1
Cellulase Dosage/(U/g)
X2
Material/liquid Ratio/(g/mL)
X3
Extraction Time/h
Flavonoid Yield/%ABTS + Clearance Rate/%
175 (−1)1:10 (−1)2 (0)3.0778.10
2105 (+1)1:10 (−1)2 (0)3.1275.18
375 (−1)1:30 (+1)2 (0)3.1979.71
4105 (+1)1:30 (+1)2 (0)3.2884.08
575 (−1)1:20 (0)1 (−1)3.3084.67
6105 (+1)1:20 (0)1 (−1)3.2783.36
775 (−1)1:20 (0)3 (+1)3.2886.86
8105 (+1)1:20 (0)3 (+1)3.2484.53
990 (0)1:10 (−1)1 (−1)2.7480.15
1090 (0)1:30 (+1)1 (−1)3.2184.23
1190 (0)1:10 (−1)3 (+1)2.6480.88
1290 (0)1:30 (+1)3 (+1)3.1785.84
1390 (0)1:20 (0)2 (0)3.4187.59
1490 (0)1:20 (0)2 (0)3.3888.32
1590 (0)1:20 (0)2 (0)3.4687.01
Table 2. Analysis of variance of optimal regression equation describing flavonoid yield and ABTS+ clearance rate by response surface methodology.
Table 2. Analysis of variance of optimal regression equation describing flavonoid yield and ABTS+ clearance rate by response surface methodology.
SourceDFSeq SSAdj SSF-Valuep-Value
Regression90.6445680.0716194.800.049 *
Linear30.2099250.0699754.690.065
Square30.4333180.1444399.680.016 *
Interaction30.0013250.0004420.030.992
Residual Error50.0745920.01491814.560.065
Lack-of-Fit30.0713250.023775
Pure Error20.0032670.001633
Total14
Regression9198.43322.048224.500.001 *
Linear352.43617.478719.420.003 *
Square3132.25844.085948.980.000 *
Interaction313.7404.57995.090.056
Interaction313.7404.57995.090.056
Residual Error54.5000.90012.810.273
Lack-of-Fit33.6391.2129
Pure Error20.8620.4309
Total14
Note: Above the dotted line is the analysis of variance of flavonoids; below the dotted line is the analysis of variance of ABTS+ clearance rate. * Significance at p < 0.05.
Table 3. Coefficient test of optimal mode describing flavonoid yield and ABTS+ clearance rate by response surface methodology.
Table 3. Coefficient test of optimal mode describing flavonoid yield and ABTS+ clearance rate by response surface methodology.
ItemCoefficientSt DevTp-Value
Constant3.416670.0705248.4510.000
X10.008750.043180.2030.847
X20.160000.043183.7050.014 *
X3−0.023750.04318−0.5500.606
X120.040420.063560.6360.553
X22−0.292080.06356−4.5950.006 *
X32−0.184580.06356−2.9040.034 *
X1×X20.010000.061070.1640.876
X1×X3−0.002500.06107−0.0410.969
X2×X30.015000.061070.2460.816
X1−0.27370.3354−0.8160.452
X22.44380.33547.2850.001 *
X30.71250.33542.1240.087
X12−3.14630.4937−6.3720.001 *
X22−5.22630.4937−10.5850.000 *
X320.36120.49370.7320.497
X1×X21.82250.47443.8420.012 *
X1×X3−0.25500.4744−0.5380.614
X2×X30.22000.47440.4640.662
Note: * Significance at p < 0.05.
Table 4. Results of orthogonal experiment.
Table 4. Results of orthogonal experiment.
Test NumberABCDFlavonoid Recovery (%)
Sample Concentration (mg/mL)pHEluent Concentration
(%)
Water Washing Volume
(BV)
11.0530343.54
21.0650464.07
31.0770566.91
41.5550576.07
51.5670364.05
61.5730437.69
72.0570475.67
82.0630532.73
92.0750371.17
K1j174.52195.28113.95178.76531.9(T)
K2j177.81160.84211.30177.43
K3j179.57175.76206.63175.71
k1j58.1765.0937.9959.5959.1
k2j59.2753.6270.4359.14
k3j59.8658.5968.8858.57
Rj1.8611.4832.451.02
Table 5. Analysis of variance of orthogonal array experiments.
Table 5. Analysis of variance of orthogonal array experiments.
Source of VariationSSdfMSFFaSignificant
A (Sample Concentration)4.380522.19022.8100F0.05 (2,8) = 4.46
B (pH)198.3023299.1511127.2093 **
C (Eluent Concentration)2009.259421004.62971288.9232F0.01 (2,8) = 8.65**
Error1.558920.7794
Note: The D factor with the smallest difference was considered as the error term. SS–sum-of-squares, df–degrees of freedom, MS–mean squares. ** Extreme significance at p < 0.01.
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Zhang, M.; Ma, W.; Wang, C.; Yang, X.; Lou, Y.; Xia, X.; Xu, H. Optimization of Enzyme-Assisted Extraction and Purification of Flavonoids from Pinus koraiensis Nut-Coated Film and Antioxidant Activity Evaluation. Molecules 2021, 26, 1950. https://doi.org/10.3390/molecules26071950

AMA Style

Zhang M, Ma W, Wang C, Yang X, Lou Y, Xia X, Xu H. Optimization of Enzyme-Assisted Extraction and Purification of Flavonoids from Pinus koraiensis Nut-Coated Film and Antioxidant Activity Evaluation. Molecules. 2021; 26(7):1950. https://doi.org/10.3390/molecules26071950

Chicago/Turabian Style

Zhang, Mingyan, Wuchao Ma, Chao Wang, Ximing Yang, Yuhang Lou, Xinxiu Xia, and Hongyan Xu. 2021. "Optimization of Enzyme-Assisted Extraction and Purification of Flavonoids from Pinus koraiensis Nut-Coated Film and Antioxidant Activity Evaluation" Molecules 26, no. 7: 1950. https://doi.org/10.3390/molecules26071950

APA Style

Zhang, M., Ma, W., Wang, C., Yang, X., Lou, Y., Xia, X., & Xu, H. (2021). Optimization of Enzyme-Assisted Extraction and Purification of Flavonoids from Pinus koraiensis Nut-Coated Film and Antioxidant Activity Evaluation. Molecules, 26(7), 1950. https://doi.org/10.3390/molecules26071950

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