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Article

Simultaneous Extraction and Determination of Lignans from Schisandra chinensis (Turcz.) Baill. via Diol-Based Matrix Solid-Phase Dispersion with High-Performance Liquid Chromatography

by
Yinpeng Wang
1,
Jingbo Zhu
1,*,
Xinxin Du
1 and
Yumei Li
2,*
1
School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China
2
Department of Clinical Pharmacy and Traditional Chinese Medicine Pharmacology, School of Pharmaceutical Sciences, Changchun University of Chinese Medicine, Changchun 130117, China
*
Authors to whom correspondence should be addressed.
Molecules 2023, 28(18), 6448; https://doi.org/10.3390/molecules28186448
Submission received: 18 August 2023 / Revised: 2 September 2023 / Accepted: 4 September 2023 / Published: 5 September 2023
(This article belongs to the Section Natural Products Chemistry)
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Abstract

:
The quality of Schisandra chinensis (Turcz.) Baill. (S. chinensis) is principally attributed to lignan compounds. In this paper, a simple and rapid strategy for simultaneous extraction and determination of 10 lignans from S. chinensis was established through matrix solid-phase dispersion (MSPD) assisted by diol-functionalized silica (Diol). The experimental parameters for MSPD extraction were screened using the response surface methodology (RSM). Diol (800 mg) was used as a dispersant and methanol (MeOH, 85%, v/v) as an eluting solvent (10 mL), resulting in a high extraction efficiency. MSPD extraction facilitated the combination of extraction and purification in a single step, which was less time-consuming than and avoided the thermal treatment involved in traditional methods. The simultaneous qualification and quantification of 10 lignans was achieved by combining MSPD and high-performance liquid chromatography (HPLC). The proposed method offered good linearity and a low limit of detection starting from 0.04 (schisandrin C) to 0.43 μg/mL (schisantherin B) for lignans, and the relative standard deviation (RSD, %) values of precision were acceptable, with a maximum value of 1.15% (schisantherin B and schisanhenol). The methodology was successfully utilized to analyze 13 batches of S. chinensis from different cultivated areas of China, which proved its accuracy and practicability in the quantitative analysis of the quality control of S. chinensis.

Graphical Abstract

1. Introduction

Schisandra chinensis (Turcz.) Baill. (S. chinensis), a red-colored fruit with five flavor profiles (sour, bitter, sweet, spicy, and salty), was added to the list of health foods by the Ministry of Health of the People’s Republic of China in 2002 as it was increasingly used as a foodstuff and food additive [1,2]. Geographically, S. chinensis is mainly cultivated in the northeast of China, including Liaoning, Jilin, Heilongjiang, and Inner Mongolia, and is also distributed among Korea, Japan, and Russia [3,4]. S. chinensis has long been known as a valuable source of raw material for medicine with physiological effects, and has been widely used in clinical practice for the improvement of sleep [5,6], for its hepatoprotective properties [7], and for immune regulation [8,9]. In recent years, S. chinensis has also been extensively consumed as an essential source of nutritional and functional ingredients in food (jam, and beverages such as tea) [10,11].
S. chinensis is rich in phytonutrients with health benefits, with the classes of lignan, flavonoid, terpenoid, and polysaccharide compounds. In particular, lignans with a dibenzocyclooctadiene structure were recognized as the most significant class of bioactive ingredients. It has been reported that lignans such as schisandrol A and schisandrol B have hepatoprotective [12,13], anticancer [14,15], and neuroprotective functions [16]. Meanwhile, schisandrol A is one of the typical analytes of S. chinensis and considered as a quality control marker according to the Chinese Pharmacopeia 2020 [1]. In addition, a variety of other lignans, including schisandrin A, schisandrin B, schisandrin C, angeloylgomisin H, and gomisin J, possess a wide range of pharmacological activities like antioxidation [17,18,19], anti-inflammation [20,21], antifibrosis [22,23], cancer prevention [24], and metabolic regulation [25,26]. Consequently, the complete extraction and precise analysis of lignans via a simple and efficient strategy leads to great benefits for the quality control and bioactive investigations of S. chinensis.
As of now, a series of techniques for determining multiple ingredients in S. chinensis have been applied using high-performance liquid chromatography (HPLC) [27], gas chromatography–mass spectrometry (GC-MS) [28], UPLC (UPLC-Q-TOF-MS) [29], and supercritical fluid chromatography (SFC) [30]. Due to the complexity of the matrix, the procedure for sample pretreatment is often perceived as an obstruction for analytical methods, and maximizing recovery of the analytes and minimizing the accompanying interferences through the appropriate extraction and clean-up procedures are perceived as critical steps in ensuring the efficiency of analytical procedures [31]. The conventional extraction procedures, including refluxing [32], ultrasonic [33], microwave-assisted [34], smashing tissue [35], and supercritical CO2 extraction [36], often require additional clean-up or concentration steps, which involve both time and solvent consumption. They may also lead to a reduction in the number of analytes due to heating, hydrolysis, or other mechanisms. These variables deeply affect the extraction efficiency of the analytes and contribute significantly to the total cost of the analysis.
Matrix solid-phase dispersion (MSPD), first proposed by Barker in 1989 [37], is a process that involves blending analytes with a polymeric phase bound to a solid support, and finally combining the crushing, extraction, separation, and purification processes in a single process based on their dissolution characteristics in the matrix [38]. In comparison with the conventional sample preparation methods, MSPD eliminates duplicate centrifugation, concentration, filtration, and re-extraction procedures, and avoids the thermal process. This would significantly reduce the quantity of solvent used and the time requirement for preparation-related manipulation, and eliminate degradation in the sample composition. In addition, the selection of the appropriate dispersant is one of the critical procedures in the extraction progress of MSPD [39]. Diol-functionalized silica (Diol), a hydrophilic silica dispersant (HILIC) bonded with the 1,2-dihydroxypropyl propyl ether functional group, has a unique retention property for polar components due to the moderate positive phase retention provided by the two hydroxyls on the silica surface [40]. Meanwhile, the additional hydrophobic effect is provided by the Diol bonded carbon chain, which has superior selectivity for nonpolar components and enables effective separation for low polar compounds on polar stationary phases [41,42]. For these reasons, Diol has been developed into commercial stationary phases, which are becoming increasingly popular for the extraction and separation of complex matrices, and are applied to extract coumarins and phenolic acids from Angelicae pubescentic radix [40], separate phospholipids in plasma and cell membranes [43,44], and separate flavanones from bee pollen [45]. These properties make Diol a valid dispersant in the MSPD method which can enhance the extraction efficiency of analytes with this method.
This study aimed to establish a Diol-based MSPD method for simultaneous extraction and determination of lignans in S. chinensis using high-performance liquid chromatography with a diode array detector (HPLC-DAD), which is a common instrument accessible in most routine laboratories. The effects of several parameters, including the type of dispersant, sample/dispersant ratio, elution solvent, concentration, and elution volume, were investigated and optimized with response surface methodology (RSM). Furthermore, the chosen Diol had specific interactions with the analytes and sharpened the sensitivity of these parameters. This proposed method can be effectively used for the pretreatment of raw S. chinensis materials or its processed products for quality control.

2. Results and Discussion

2.1. Validation of the Method

In this study, an HPLC-DAD analytical method coupled with Diol-based MSPD was established, optimized, and validated for the simultaneous determination of 10 lignans with the aim of achieving optimal chromatographic resolution. Analyte standard solutions allowed the construction of external calibration curves using peak area values as the response. In Table 1, the linearity of 10 analytes is constructed with the peak areas of the analytes (Y-axis) and concentration (X-axis), which ranged from 0.56 μg/mL (schisandrin C) to 175 μg/mL (schisandrol A), and the minimum value of R2 was 0.9991 (schisandrin C). The limit of detection (LOD) and limit of quantitation (LOQ), which were calculated as the minimum concentration of the analytes that yield the S/N ratios of 3 and 10, respectively, were in the range of 0.04 (schisandrin C) to 0.43 μg/mL (schisantherin B) and 0.49 (schisandrin C) to 2.07 μg/mL (schisantherin B), respectively.
In addition, reproducibility was assessed from the intraday (repeatability) and interday (intermediate precision) values using the relative standard deviation (RSD) of the peak area for each analyte at a certain concentration level. As shown in Table 1, the RSD values of repeatability ranged from 0.21% (schisandrin C) to 1.05% (schisanhenol). Regarding the intermediate precision, the RSD values were between 0.80% (schisandrin B) and 1.15% (schisantherin B and schisanhenol). In sum, the reliable performance and reproducibility of the method established were attained for all the analytes studied.

2.2. MSPD Extraction Procedure

2.2.1. The Selection of Parameters in MSPD Procedure

To achieve the highest extraction yield of total lignans from S. chinensis, a series of experiments were performed to determine the preliminary parameters for MSPD extraction, including the type of dispersant and mass ratio to the sample, elution solvent, concentration, and elution volume.
The type of dispersant determined the high adsorption capacity and selectivity between the matrix and dispersant [46]. In this study, the extraction efficiencies of seven dispersants (silica gel, HSO3-silica gel, C18, C8, Xion, XAmide, and Diol) based on silica gel were investigated for the lignans of S. chinensis. Figure 1A shows that the extraction capacity of the seven dispersants for the target analytes varied, and Diol showed a superior extraction ability compared with the others. Synthesized with unmodified bare silica gel, Diol was bonded with 1,2-dihydroxypropyl propyl ether functional groups that provided additional hydrophobicity to low polar compounds, and showed smaller differences in selectivity and shorter retention times, which resulted in low retention of low polar substances represented by lignans in the Diol phase [42,47]. Additionally, the Diol phase used in the HILIC mode formed an aqueous enriched layer at the surface of the stationary phase, which was capable of adsorbing hydrophilic molecules (including polyphenols, proteins, and phospholipids) from extracted solutions of S. chinensis by hydrogen force bonding with the sample, while basically retaining nothing of the lignans and obtaining a high extraction efficiency [40,43,48]. Therefore, Diol was selected as the optimal dispersant for the subsequent extraction process.
Next, the mass ratio of S. chinensis sample to dispersant (2:1 to 1:4) with the quantity of dispersant varying from 100 to 800 mg was studied. The sample/dispersant ratio could affect the extraction efficiency since it not only determined the interface area between sample and dispersant, but also influenced the elution of the analytes [49]. As shown in Figure 1B, the extraction efficiency of 10 lignans significantly increased as the ratio rose from 2:1 to 1:3, and leveled off when it changed to 1:4. This was due to the appropriate amount of adsorbent, which produced a larger interface area and stronger intermolecular interactions. Therefore, the sample/dispersant ratio of 1:3 was adopted for further studies.
Then, a series of elution solvents including methanol (MeOH), acetonitrile (ACN), ethanol (EtOH), and acetone (ACE) were chosen to be investigated. According to the results in Figure 1C, MeOH revealed an advantage in extraction efficiency. Moreover, in Figure 1D, it can be seen that with the increase in MeOH concentration in the elution solvent (from a water solution to 75% MeOH-H2O), the retention factor of the solute decreased and the lignan extraction efficiency increased significantly. But, as the concentration continued to increase (from 75% MeOH-H2O to 100% MeOH), the extraction efficiency of the lignans was not satisfactory. And in Figure 1E, it can be seen that the extraction recoveries of the analytes were consistently slightly increased with the increase in the solution volume scale from 5 mL to 10 mL; it was not until 15 mL was reached that the extraction no longer increased. To sum up, the parameters of 10 mL and 75% MeOH-H2O were chosen for subsequent experiments.

2.2.2. Optimization of MSPD Procedure with RSM

As a multivariate chemometric approach, RSM can visualize the interaction effects between process variables and responses [50]. Therefore, RSM was employed to obtain the optimal parameters of MSPD on the basis of mono-factor experimental results. The Box–Behnken design (BBD) was generally chosen as an optimization model through RSM [51]. The BBD matrices and experimental values for the total lignan extraction yield are presented in Table 2. After performing 17 runs, the empirical relationship between the response and independent variables was evaluated using the following equation:
Y = 14.4900 + 0.0850 X 1 + 0.8013 X 2   + 0.0838 X 3 + 0 . 0400 X 1 X 2 −   0.0200 X 1 X 3 − 0.0625 X 2 X 3 − 0.1563 X 1 2 − 0.9688 X 2 2 − 0.1087 X 3 2
where Y is the response value, and X1, X2, and X3 respectively correspond to the values of three independent variables: sample/dispersant ratio, solvent concentration, and elution volume.
The significance and adequacy of the model were analyzed by using the F-test (Table 3). From the analysis of variance (ANOVA) results, the model had a significantly high F-value (F = 182.02) and low p-value for the responses (p < 0.0001, less than 0.05), indicating the model terms were significant. The R2 was 0.9957, which suggested the high degree of fitness in this model. Furthermore, the lack of fit was 0.5462 (more than 0.05), indicating that the model reliably estimated the optimal experimental parameters. Furthermore, the diagnostic and correlation plots were assessed to recognize the significance of the obtained ANOVA [52]. Evaluation of the optimized design revealed (Figure 2A) that the actual values obtained from the research were basically close to a straight line, demonstrating a good correlation with the predicted values. Meanwhile, the normal plot of residuals was established to illustrate the accuracy of the optimized residuals. In Figure 2B, the normal probability distribution of the residuals is basically on a straight line, indicating that the predicted model is accurate. All these results revealed that the RSM model was suitable for precise estimations of the extraction conditions of lignans.
According to the results in Table 3, the most influential factor on MSPD extraction efficiency was the linear term of MeOH concentration (X2, p < 0.05), followed by the quadratic term of MeOH concentration (X22, p < 0.05) and the quadratic term of the sample/dispersant ratio (X1, p < 0.05). The significant model terms with low p-values signified a more critical impact on the respective response variables. Thus, these data suggested that the MeOH concentration was a crucial variable for the extraction of total lignans by using MSPD.

2.2.3. Analysis of Response Surface

To provide a preferable visualization of the independent variables on the extraction yield, 3D response surface curves of this model were drawn in Figure 3. The response of the total lignan extraction yield served as a quality control marker associated with sample/dispersant ratio, MeOH concentration, and elution volume. As shown in Figure 3A, the response increased with increasing MeOH concentration, and the maximum extraction yield was obtained at 75%. Notably, when the concentration reached a higher level (100%), the response decreased slightly. This is due to the relatively low hydrophobicity of the tested polar lignans represented by schisandrol A and schisandrol B compared with other analytes resulting in a slight decline in the extraction yield under 100% MeOH. And no significant changes in the sample/dispersant ratio were observed. In Figure 3B, with the increase in MeOH concentration, the response of the extraction yield showed a trend of rising at first and then declining, but there was no obvious effect of volume on the response effect. The effects of elution volume and sample/dispersant ratio (Figure 3C) on the response of the lignan extraction yield were not considerable.

2.2.4. Verification of Predictive Model

The optimal extraction conditions were predicted based on the RSM with the maximum extraction concentration of total lignans with Diol as the dispersant, 1:4 as the sample/dispersant ratio, and 85.30% MeOH elution for 9.93 mL. In order to verify the applicability of the quadratic equation in predicting the optimal response value, validation experiments were put into practice under the following adjusted conditions: Diol as the dispersant, a sample/dispersant ratio of 1:4 (800 mg), and 85% MeOH elution for 10 mL. The predictive value was 14.60 mg/g while the actual value of the total lignan extraction yield was 14.67 mg/g, demonstrating no significant difference between the actual value and the predictive value. Consequently, the extraction conditions obtained with RSM were accurate and reliable, and also had an application value reflecting the expected optimization.

2.3. Comparison with Traditional Extraction Method

The proposed method was compared with conventional pretreatment methods with different extraction operations for the measurement of lignans from complex materials to prove its potential application. According to the Chinese Pharmacopoeia Commission (2020), ultrasonic extraction has been utilized as a pretreatment method for S. chinensis [1]. Therefore, the difference between the developed Diol-based MSPD method and the ultrasonic extraction method was compared by extracting the target analytes in one batch of S. chinensis. The efficiency provided by MSPD (14.67 mg/g) was similar to that of the ultrasonic extraction method (14.63 mg/g), which demonstrated that the Diol-based MSPD method had nearly the same effectiveness as the method of the Chinese Pharmacopoeia Commission when extracting the targets in S. chinensis.
On the other hand, to further evaluate the performance of the currently developed MSPD method, a comparison method was carried out with some related parameters among the optimized methods and published methods by other scholars. In Table 4, it can be clearly observed that the items related to the Diol-based MSPD procedure, including extraction methods, sample amounts, type of solvent, and solvent volume, were either similar to or better than those from other published reports. To be specific, MSPD required fewer reagents and a shorter pretreatment time. The entire pretreatment process of the optimized MSPD method took about 20 min and the total amount of solvent used for each assay was 10 mL, which was less than the amounts used in smashing tissue extraction (38 mL) and pressurized liquid extraction (150 mL). In particular, MSPD does not require complex instruments and materials. Notably, there was a significant variation in lignan content in S. chinensis obtained from different cultivated areas, so not only can the difference in the reported amounts be ascribed to the extraction method, but it can also be ascribed to the nature of the sample. Comprehensively, considering the extraction efficiency, experimental time, and solvent consumption, the developed method of Diol-based MSPD was satisfactory for the rapid and effective determination of the major components in S. chinensis.

2.4. Application

To evaluate the practicality of the proposed method, 13 batches of S. chinensis samples obtained from different cultivated areas of China, including Liaoning, Jilin, Inner Mongolia, and Heilongjiang province, were analyzed. All 10 analytes were recognized in an HPLC chromatogram and the contents were calculated with external standard methods based on the respective calibration curves. The analytical results are revealed in Table 5; we observed that the contents of the investigated bioactive lignans in S. chinensis from different areas are noticeably diverse. It is supposed that variables such as geographical climate, cultivation year, harvest time, manufacturing procedure, and store conditions may be responsible for content variations in the bioactive markers. Therefore, it is valuable to institute an accurate quantitative analysis method for reasonable quality evaluation of valuable resources cultivated in different regions.

3. Materials and Methods

3.1. Chemicals and Reagents

Silica gel, HSO3-silica gel, C18, C8, Diol, XAmide, and Xion were supplied by ACChrom Tech (Beijing, China). Ultrapure water was processed with the MILLI-Q water purification system (Bedford, MA, USA). Acetonitrile and methanol of HPLC grade were purchased from Concord Technology (Tianjin, China), and all other chemicals were of analytical reagent grade and provided by Kermel (Tianjin, China). All reagents for HPLC were filtrated through 0.22 μm nylon syringe filter.
The standards of schisandrin A and schisandrin B were purchased from the National Institutes for Food and Drug Control (Beijing, China). Schisantherin A, schisantherin B, schisanhenol, gomisin J, angeloylgomisin H, schisandrol A, schisandrol B, and schisandrin C were purchased from Chengdu Push Bio-technology Co., Ltd. (Chengdu, China). The purity of all analytes was more than 98%. The chemical structures of the 10 analytes are shown in Figure 4.

3.2. Plant Materials

Thirteen batches of S. chinensis were collected from Liaoning, Jilin, Heilongjiang, and Inner Mongolia provinces of China and identified by Prof. Jingbo Zhu (Dalian Polytechnic University, Dalian, China) through the Chinese Pharmacopoeia [1]. All samples were dried at 65 °C for 12 h, and pulverized by a versatile plant pulverizer and passed through a 20-mesh sieve, as preparation for later investigation.

3.3. Extraction of Lignans with MSPD

The S. chinensis powder (200 mg) and dispersant (800 mg) were precisely weighed, and transferred into the agate mortar in sequence. The mixture was ground for 5 min and transferred into a 12 mL polypropylene SPE cartridge in which a sieve plate was already prefilled at the bottom. Then, another thin layer of sieve plate was supplemented on the top of the sample mixture by light compression using a syringe plunger to get rid of undesirable channels. Later, the packed tube was rinsed with 10 mL of 85% methanol–water solution. The eluent was collected in a volumetric flask and made up to mark with methanol, and filtered through a 0.22 μm filter prior to analytical procedure. The schematic diagram of Diol-based MSPD method is shown in Figure 5.

3.4. Ultrasonic Extraction

The S. chinensis powder (200 mg) was accurately weighed and moved into a 25 mL volumetric flask and mixed with 20 mL of methanol. The mixture was ultrasonically extracted (40 KHz) for 20 min, and then adjusted to the mark with methanol. The final sample solution was passed through a 0.22 μm filter and submitted to the analytical system.

3.5. Determination of Lignans with HPLC-DAD

The analyses were performed on an ACChrom S6000 HPLC system with ACChrom 3430 DAD (Acchrom Tech, Beijing, China). A FINDSIL C18 column (250 mm × 4.6 mm, 5 μm, Bomexc Tech, Dalian, China) was used for elution at 1 mL/min at a column temperature of 30 °C. The mobile phase included acetonitrile (solvent A) and pure water (solvent B) using a gradient elution: 10–50% A at 0–30 min, 50–60% A at 30–32 min, 60–85% A at 32–57 min, and 85–100% A at 57–60 min. The injection volume was 20 μL, and the detection wavelength was 250 nm. The number of lignan compounds in the fruit samples was measured by comparing the peak area of each lignans with the reference standards. EmpowerTM software (https://www.empowersoftware.co.nz/ (accessed on 1 September 2023)) was used for data collection, integration, and analysis. Under the described chromatographic conditions, all the analytes, including standard solutions and samples prepared with the method of Diol-based MSPD, separated excellently (Figure 6).

3.6. Method Validation

To verify the performance of the method, the parameters, including linearity, LOD, LOQ, and precision, were evaluated by using standard solutions. Mixed stock solution containing 10 compounds was prepared by being dissolved in methanol. The calibration curves for each compound were obtained by diluting stock solutions at various concentrations, and linearity was evaluated in terms of coefficient of determination (R2). The LOD and LOQ were determined by measuring the ratio of signal to noise (S/N) for each compound. A series of solutions were injected until the S/N ratios reached 3 and 10 for LOD and LOQ, respectively. The intraday precision of the assay was determined through analysis of six replicate injections of samples under optimal conditions. The interday precision was assessed by analyzing the same solution on three successive days. The RSD (%) was used to evaluate the precision of the method.

3.7. Statistical Analysis

The experimental design and subsequent data analysis used to optimize the MSPD method were performed using Design-expert (Version 13, State-Ease Inc., Minneapolis, MN, USA).

4. Conclusions

In this study, a simple and rapid MSPD extraction method was proposed to simultaneously extract 10 lignans in S. chinensis and determine the contents through a common HPLC-DAD method. A unique hydrophilic stationary phase, Diol, was used as a dispersant in this MSPD process, which was superior to similar processes and highly efficient. This method is simple, time-saving, low-consumption, and precise. These properties render Diol-based MSPD coupled with HPLC-DAD as a viable replacement method to extract and analyze lignans in raw materials, bioactive formulations, and functional foods from S. chinensis.

Author Contributions

Conceptualization, J.Z. and Y.L.; formal analysis, Y.W.; investigation, Y.W.; methodology, Y.W.; project administration, J.Z.; supervision, J.Z.; validation, X.D.; visualization, X.D.; writing—original draft, Y.W.; writing—review and editing, J.Z. and Y.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (U1603285), the Jilin Provincial Department of Science and Technology Project (20210508005RQ), and the Jilin Provincial Department of Science and Technology Project (YDZJ202201ZYTS150).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data that support the findings of this work are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare that they have no known competing financial interest or personal relationship that could have appeared to influence the work reported in this paper.

Sample Availability

Samples of the plant materials from Schisandra chinensis (Turcz.) Baill. are available from the authors.

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Molecules 28 06448 g001aMolecules 28 06448 g001b
Figure 1. Effect of parameters on efficiency of 10 lignans. (A) Type of dispersant. (B) Ratio of sample to dispersant. (C) Elution solvent. (D) Concentration of elution solvent. (E) Volume of elution solvent. The bars represent the extraction yield of each lignan and the line–symbol plots represent the total lignan extraction yield.
Figure 1. Effect of parameters on efficiency of 10 lignans. (A) Type of dispersant. (B) Ratio of sample to dispersant. (C) Elution solvent. (D) Concentration of elution solvent. (E) Volume of elution solvent. The bars represent the extraction yield of each lignan and the line–symbol plots represent the total lignan extraction yield.
Molecules 28 06448 g001aMolecules 28 06448 g001b
Molecules 28 06448 g002
Figure 2. Graph of (A) actual values vs. predicted values for extraction yield with MSPD. (B) Normal % probability plot of internally studentized residuals.
Figure 2. Graph of (A) actual values vs. predicted values for extraction yield with MSPD. (B) Normal % probability plot of internally studentized residuals.
Molecules 28 06448 g002
Molecules 28 06448 g003
Figure 3. Response surface from Box–Behnken design (BBD) for the effect of independent variables on the extraction of target analytes. (A) Sample/dispersant ratio and MeOH concentration. (B) MeOH concentration and elution volume. (C) Elution volume and sample/dispersant ratio.
Figure 3. Response surface from Box–Behnken design (BBD) for the effect of independent variables on the extraction of target analytes. (A) Sample/dispersant ratio and MeOH concentration. (B) MeOH concentration and elution volume. (C) Elution volume and sample/dispersant ratio.
Molecules 28 06448 g003
Molecules 28 06448 g004
Figure 4. The structures of 10 analytes in S. chinensis.
Figure 4. The structures of 10 analytes in S. chinensis.
Molecules 28 06448 g004
Molecules 28 06448 g005
Figure 5. Schematic diagram of diol-functionalized silica (Diol)-based MSPD.
Figure 5. Schematic diagram of diol-functionalized silica (Diol)-based MSPD.
Molecules 28 06448 g005
Molecules 28 06448 g006
Figure 6. High-performance liquid chromatogram of extraction solution from S. chinensis (A) and standard compounds (B). Schisandrol A (1), gomisin J (2), schisandrol B (3), angeloylgomisin H (4), schisantherin A (5), schisantherin B (6), schisanhenol (7), schisandrin A (8), schisandrin B (9), schisandrin C (10).
Figure 6. High-performance liquid chromatogram of extraction solution from S. chinensis (A) and standard compounds (B). Schisandrol A (1), gomisin J (2), schisandrol B (3), angeloylgomisin H (4), schisantherin A (5), schisantherin B (6), schisanhenol (7), schisandrin A (8), schisandrin B (9), schisandrin C (10).
Molecules 28 06448 g006
Table 1. Regression equation, linear range, limit of detection (LOD), limit of quantitation (LOQ), repeatability, precision, and recovery values of 10 analytes.
Table 1. Regression equation, linear range, limit of detection (LOD), limit of quantitation (LOQ), repeatability, precision, and recovery values of 10 analytes.
AnalyteCalibration CurveR2Linear Range
(μg/mL)		LOD
(μg/mL)		LOQ
(μg/mL)		Precision (RSD%)
IntradayInterday
Schisandrol AY = 25.6922X − 27.16250.999835–1750.231.150.871.03
Gomisin JY = 47.0927X − 4.07780.99990.98–5.40.340.980.480.83
Schisandrol BY = 44.7520X − 12.77420.99993.4–20.40.300.900.800.98
Angeloylgomisin HY = 35.3511X + 0.25850.99987–420.221.490.810.95
Schisantherin AY = 31.6965X − 5.56450.99971.6–80.091.450.961.02
Schisantherin BY = 33.7828X − 3.36530.99992.07–100.432.070.941.15
SchisanhenolY = 19.7444X − 1.13120.99990.8–5.40.200.801.051.15
Schisandrin AY = 49.157X − 1.21220.99990.75–3.750.050.750.801.04
Schisandrin BY = 40.5254X − 19.65940.99977.5–450.350.700.610.80
Schisandrin CY = 60.0555X + 2.16680.99910.56–5.90.040.490.210.86
Table 2. Condition optimization and results of matrix solid-phase dispersion (MSPD).
Table 2. Condition optimization and results of matrix solid-phase dispersion (MSPD).
No.LevelsY: Total Lignan Extraction Yield (mg/g)
X1: Sample/Dispersant RatioX2: Methanol (MeOH)
Concentration (%)		X3: Elution Volume (mL)
11:3751014.45
21:275514.04
31:3751014.54
41:41001014.24
51:3100514.20
61:4751514.37
71:3751014.46
81:21001014.03
91:3751014.40
101:2501012.57
111:350512.41
121:3751014.60
131:2751514.20
141:31001514.29
151:475514.29
161:3501512.75
171:4501012.62
Table 3. Analysis of mean square deviation of regression equation.
Table 3. Analysis of mean square deviation of regression equation.
SourceSum of SquaresdfMean SquareF-Valuep-Value Prob > FSignificance
Model9.5391.06182.02<0.0001Significant
X10.057810.05789.930.0161
X25.1415.19882.80<0.0001
X30.056110.05619.640.0172
X1·X20.006410.00641.100.3291
X1·X30.001610.00160.27500.6162
X2·X30.015610.01562.690.1453
X120.102810.102817.670.0040
X223.9513.95679.20<0.0001
X320.049810.04988.560.0222
Residual0.040770.0058
Lack of fit0.015530.00520.82140.5462Not significant
Pure error0.025240.0063
Cor total9.5716
Table 4. Comparison of the proposed Diol-based MSPD method and other methods in the determination of lignans in S. chinensis.
Table 4. Comparison of the proposed Diol-based MSPD method and other methods in the determination of lignans in S. chinensis.
No.Extraction
Method		Sample AmountsType of
Solvent
(Volume)		Extraction
Parameter		Detection MethodExtracted LignansTotal LignansRef.
1Smashing tissue extraction2.00 g75% EtOH
(38 mL)		35 min
Voltage: 180 V		HPLC-UVSchisandrol A, schisantherin A, deoxyshcisandrin, schisandrin B,
schisandrin C		13.89 mg/g[35]
2Ultrasound-assisted extraction0.5 gMeOH
(20 mL)		40 min
60 °C, 70 kHz		HPLC-FLDSchisandrol A, schisandrol B, schisandrin A, schisandrin B, schisandrin C9.35–23.51 mg/g[53]
3Pressurized liquid extraction1 gMeOH
(150 mL)		15 min, 125 °CHPLC-DADSchisandrol A, gomisin J, schisandrol B, tigloylgomisin H, angeloylgomisin H, schisandrin A, γ-schisandrin, gomisin N, schisandrin C17.21 mg/g[54]
4Diol-based MSPD200 mg85% MeOH
(10 mL)		20 minHPLC-DADSchisandrol A, gomisin J, schisandrol B, schisantherin A, schisantherin B,
schisanhenol, schisandrin A, schisandrin B, schisandrin C, angeloylgomisin H		14.67 mg/gPresent
work
Table 5. Contents of the 10 analytes of Schisandra chinensis (Turcz.) Baill. (S. chinensis) from different cultivated areas.
Table 5. Contents of the 10 analytes of Schisandra chinensis (Turcz.) Baill. (S. chinensis) from different cultivated areas.
No.Cultivation AreasAnalytes (mg/g)
Schisandrol AGomisin JSchisandrol BAngeloylgomisin HSchisantherin ASchisantherin BSchisanhenolSchisandrin ASchisandrin BSchisandrin C
1Benxi, Liaoning7.18 ± 0.110.24 ± 0.011.23 ± 0.031.03 ± 0.020.38 ± 0.010.62 ± 0.010.28 ± 0.010.46 ± 0.011.75 ± 0.040.16 ± 0.01
2Tieling, Liaoning9.30 ± 0.080.28 ± 0.011.15 ± 0.011.27 ± 0.010.72 ± 0.010.88 ± 0.010.59 ± 0.011.36 ± 0.012.24 ± 0.020.15 ± 0.01
3Dandong, Liaoning7.23 ± 0.080.27 ± 0.010.94 ± 0.010.97 ± 0.010.55 ± 0.010.69 ± 0.010.36 ± 0.011.06 ± 0.011.96 ± 0.010.12 ± 0.01
4Yanbian, Jilin7.96 ± 0.060.23 ± 0.011.08 ± 0.011.10 ± 0.010.55 ± 0.010.71 ± 0.010.36 ± 0.010.87 ± 0.011.92 ± 0.010.13 ± 0.01
5Baishan, Jilin8.38 ± 0.010.26 ± 0.011.15 ± 0.011.07 ± 0.010.68 ± 0.010.72 ± 0.010.35 ± 0.011.02 ± 0.011.96 ± 0.010.10 ± 0.01
6Tonghua, Jilin7.36 ± 0.040.30 ± 0.011.24 ± 0.011.01 ± 0.010.48 ± 0.010.62 ± 0.010.33 ± 0.010.74 ± 0.012.02 ± 0.020.17 ± 0.01
7Elunchun, Inner Mongolia8.42 ± 0.020.26 ± 0.011.13 ± 0.011.21 ± 0.010.62 ± 0.010.76 ± 0.010.40 ± 0.011.02 ± 0.012.21 ± 0.010.16 ± 0.01
8Jiagedaqi, Heilongjiang7.21 ± 0.170.24 ± 0.011.10 ± 0.031.01 ± 0.080.40 ± 0.010.69 ± 0.020.30 ± 0.010.53 ± 0.021.79 ± 0.050.14 ± 0.01
9Yichun, Heilongjiang5.85 ± 0.060.33 ± 0.011.29 ± 0.021.09 ± 0.010.30 ± 0.010.42 ± 0.010.27 ± 0.010.71 ± 0.012.61 ± 0.030.33 ± 0.01
10Mudanjiang, Heilongjiang9.24 ± 0.060.34 ± 0.011.07 ± 0.011.37 ± 0.050.59 ± 0.010.77 ± 0.010.39 ± 0.010.85 ± 0.012.42 ± 0.010.21 ± 0.01
11Daxinganling, Heilongjiang7.16 ± 0.010.43 ± 0.011.41 ± 0.011.00 ± 0.010.71 ± 0.010.27 ± 0.010.18 ± 0.010.62 ± 0.012.46 ± 0.010.10 ± 0.01
12Heihe, Heilongjiang10.85 ± 0.010.53 ± 0.011.75 ± 0.011.34 ± 0.010.88 ± 0.011.03 ± 0.010.64 ± 0.011.27 ± 0.012.21 ± 0.010.10 ± 0.01
13Heihe, Heilongjiang9.13 ± 0.010.45 ± 0.011.49 ± 0.011.11 ± 0.010.74 ± 0.010.86 ± 0.010.53 ± 0.011.05 ± 0.011.87 ± 0.010.08 ± 0.01
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Wang, Y.; Zhu, J.; Du, X.; Li, Y. Simultaneous Extraction and Determination of Lignans from Schisandra chinensis (Turcz.) Baill. via Diol-Based Matrix Solid-Phase Dispersion with High-Performance Liquid Chromatography. Molecules 2023, 28, 6448. https://doi.org/10.3390/molecules28186448

AMA Style

Wang Y, Zhu J, Du X, Li Y. Simultaneous Extraction and Determination of Lignans from Schisandra chinensis (Turcz.) Baill. via Diol-Based Matrix Solid-Phase Dispersion with High-Performance Liquid Chromatography. Molecules. 2023; 28(18):6448. https://doi.org/10.3390/molecules28186448

Chicago/Turabian Style

Wang, Yinpeng, Jingbo Zhu, Xinxin Du, and Yumei Li. 2023. "Simultaneous Extraction and Determination of Lignans from Schisandra chinensis (Turcz.) Baill. via Diol-Based Matrix Solid-Phase Dispersion with High-Performance Liquid Chromatography" Molecules 28, no. 18: 6448. https://doi.org/10.3390/molecules28186448

APA Style

Wang, Y., Zhu, J., Du, X., & Li, Y. (2023). Simultaneous Extraction and Determination of Lignans from Schisandra chinensis (Turcz.) Baill. via Diol-Based Matrix Solid-Phase Dispersion with High-Performance Liquid Chromatography. Molecules, 28(18), 6448. https://doi.org/10.3390/molecules28186448

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