Quality Evaluation of <i>Pulsatilla chinensis</i> Total Saponin Extracts via Quantitative Analysis of Multicomponents by Single Marker Method Combined with Systematic Quantified Fingerprint Method

Chen, Long; Liu, Suzhen; Feng, Shuhan; Zhou, Liangliang; Chen, Zhenhua

doi:https://doi.org/10.1155/2022/6777409

Journal of Analytical Methods in Chemistry

On this page

Abstract Introduction Materials and Methods Results and Discussion Conclusion Data Availability Conflicts of Interest Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2022 | Article ID 6777409 | https://doi.org/10.1155/2022/6777409

Quality Evaluation of Pulsatilla chinensis Total Saponin Extracts via Quantitative Analysis of Multicomponents by Single Marker Method Combined with Systematic Quantified Fingerprint Method

Long Chen,¹Suzhen Liu,¹Shuhan Feng,¹Liangliang Zhou,¹and Zhenhua Chen¹

Academic Editor: Eduardo Dellacassa

Received30 Aug 2021

Revised22 Oct 2021

Accepted14 Feb 2022

Published09 Mar 2022

Abstract

Chinese medicine extracts are complex in composition. The combination of the quantitative analysis of multicomponents by single marker (QAMS) and the systematic quantified fingerprint method (SQFM) can be used for better quantitative analysis. The contents of Pulsatilla saponin D, Pulsatilla saponin A, Pulsatilla saponin F, and oleanolic acid 3-o-β-d-pyranoglucosyl-(1⟶4)-β-d-pyranoglucosyl-(1⟶3)-α-l-pyridine rhamnosyl-(1⟶2)-α-l-pyranosine arabinoside (B9) were determined by HPLC and QAMS. The methodological verification was carried out. The relative correction factor (RCF) was calculated, and the reproducibility of the RCF was investigated. The experimental results of the external standard method (ESM) and the QAMS were compared. Meanwhile, the fingerprint of the extract of Pulsatilla chinensis total saponins was established and the quality of the extract was evaluated by SQFM and hierarchical cluster analysis (HCA). The results showed that there was no significant difference between the QAMS and ESM. QAMS could be used for the rapid determination of various saponins in the extract of Pulsatilla chinensis. SQFM and HCA could objectively and comprehensively reflect the overall quality difference of total saponin extract of Pulsatilla chinensis. Therefore, QAMS and SQFM could provide a more convenient and effective selection for the quality evaluation of total saponin extract from this plant.

1. Introduction

Pulsatilla radix is the dried root of the Ranunculaceae plant Pulsatilla chinensis (Pulsatilla chinensis (Bge.) Regel) [1], which was first recorded in “Shen Nong Ben Cao Jing.” It is bitter in taste and cold in nature and returns to the stomach and large intestine meridian. It has the effects of clearing away heat, detoxifying, cooling blood, and stopping dysentery. It is used for heat toxins, bloody dysentery, and vaginal itching. Pulsatilla radix is particularly good at clearing the dampness and heat of large intestine and blood subthermal poison, and it becomes a common drug for clinical treatment of collapse [2]. In recent years, pharmacological studies on Pulsatilla have confirmed that the total saponin extracts of Pulsatilla chinensis have significant functions of anti-inflammatory, antioxidant, and immune-enhancing and have a good prospect of new drug development [2, 3]. The results of chemical and pharmacological studies showed that triterpene saponins, mainly including Pulsatilla saponin D, Pulsatilla saponin A, Pulsatilla saponin F, and B9, were the main chemical constituents in Pulsatilla chinensis and the effective components of anti-inflammatory and immunological enhancement [4, 5].

HPLC plays an important role in the quantitative analysis of multicomponent traditional Chinese medicine. In recent years, besides the common ESM, there has appeared a convenient and efficient method, i.e., QAMS. The method can achieve the synchronized measurement of multiple components by the intrinsic function and proportional relationship of the active ingredients and the introduction of RCF through the determination of only one component of the internal reference standard (IRS) [6]. It avoids the separation and purification of complex components [7] and greatly reduces the time and economic cost of quality control [8, 9]. Moreover, this method, which improved the practicability and feasibility of quality control [10], is considered to be a better choice for quality control [11–15]. For complex plant products, it is not enough to control quality with a single or few ingredients so a comprehensive method is needed to control their quality. As a quality analysis and testing method of Chinese medicine and it extracts, fingerprint technology can evaluate the quality and has become the quality control standard of many regulatory agencies such as the China Food and Drug Administration (CFDA), the United States Food and Drug Administration (FDA), and the European Medicines Agency (EMA) [16]. At present, most of the HPLC fingerprints focus on qualitative research. In this paper, three parameters of macroscopic qualitative similarity (S_m), macroscopic quantitative similarity (P_m), and fingerprint coefficient of variation (α) were used to quantitatively evaluate Chinese medicine as a whole on the basis of macroscopic qualitative analysis [17–19].

Five batches of total saponin extracts of Pulsatilla chinensis and mixed reference substance of four markers were determined by injection. Using Pulsatilla saponin D as IRS, the content of Pulsatilla saponin A, Pulsatilla saponin F, and B9 was determined simultaneously and compared with the ESM. At the same time, the fingerprints of five batches of total saponin extracts were established by HPLC and the macroqualitative and overall quantitative analysis and evaluation were performed. Finally, the two methods were combined to comprehensively evaluate the total saponin extract. This new combination method may provide a more convenient and effective choice for the quality evaluation of this traditional Chinese medicine.

2. Materials and Methods

2.1. Instruments and Materials

Chromatographic analysis was carried out on an Agilent 1100 HPLC series (Agilent Technology, USA) consisting of a G1322A DEGASSER, a G1311A QuatPump, a G1313A ALS, a G1316A COLCOM, and a G1315B DAD. The KQ5200DE CNC ultrasonic cleaner was from China Kunshan Ultrasonic Instrument Co., Ltd.; the XS205 (d = 0.01 mg) electronic balance was from Switzerland Mettler Toledo; the LBA-520 (d = 1 mg) electronic balance was from China Kunshan Yuheng Electronic Measuring Instrument Co., Ltd.

Standard Pulsatilla saponin D, Pulsatilla saponin A, Pulsatilla saponin F, and B9 were from the National Engineering Research Center for Traditional Chinese Medicine Solid Preparation Manufacturing Technology, with the batch numbers of 20130622, 20130407, 20140521, and 20140521, purity ≧ 98%; the structure is shown in Figure 1. Total saponins of Pulsatilla were from the National Engineering Research Center for Traditional Chinese Medicine Solid Preparation Manufacturing Technology, with the batch numbers of 20110804, 20120330, 20120723, 20121022, and 20130617. Methanol (AR) and acetonitrile (AR) were purchased from Xiqiao Chemical Co., Ltd.

2.2. Theory and Principle

2.2.1. Theory of QAMS [20–22]

Through the internal function and proportion relationship between the active components of medicinal materials, QAMS can realize the simultaneous determination of multiple components by determining the content of one component. The k component in the sample was selected as the IRS, and the RCF between the k component and the other components s was established. The amounts of other components can be calculated based on the RCF. In addition, the validation of the method and reproducibility of RCF were also required. A reasonable method (t-test) was used to evaluate whether there was a statistical difference between the measured and calculated values.where W_k is the amount of IRS, A_s is the peak area of component s, W_s is the amount of component s, and A_k is the peak area of IRS.

2.2.2. Theory of SQFM [18, 19, 21, 23, 24]

SQFM has three important parameters: macroqualitative similarity (S_m), macroquantitative similarity (P_m), and fingerprint variation coefficient (α). S_m can describe the quantity and distribution ratio of different chemical components in the fingerprint and prove the authenticity of traditional Chinese medicine. P_m is used to monitor the overall content of chemical components. α can clearly reflect the difference between the sample fingerprint (SFP) and the reference fingerprint (RFP). Table 1 lists the quality evaluation standards of traditional Chinese medicine based on SQFM, that is, the lower the grade, the better the quality.where x_i is the peak area of SFP and y_i is the peak area of RFP.

2.3. Preparation of Mixed Reference Solutions

Pulsatilla saponin D, Pulsatilla saponin A, Pulsatilla saponin F, and B9 reference substance were separately and accurately weighed, dissolved with ultrasonic methanol, cooled and stood, shaken, and maintained constant volume evenly. A 1 ml mixed reference solution containing 0.614 mg Pulsatilla saponin D, 0.242 mg Pulsatilla saponin A, 0.496 mg Pulsatilla saponin F, and 0.385 mg B9 was prepared.

2.4. Preparation of Sample Solutions

The 20 mg of the total saponin extracts of Pulsatilla chinensis was accurately weighed and placed in a 10 ml flask, dissolved with ultrasonic methanol, cooled and stood, shaken, and added into methanol to the mark.

The sample solutions and mixed reference solutions were filtered through 0.45 μm Millipore filters before HPLC analysis.

2.5. HPLC Conditions

The Hypersil ODS2 C18 column (4.6 mm × 250 mm, 5 μm) was used for the chromatographic system. The mobile phase was composed of methanol-acetonitrile-water (14 : 36 : 50, v/v/v) and iso-elution. The flow rate was set at 1.0 ml/min, and the column temperature was maintained at 35°C. 20 μl sample solutions were injected and monitored at 203 nm.

2.6. Data Analysis

Agilent ChemStation (version B.02.01-SR1[260]) was utilized for analyzing and processing the original data. The processed data were imported and analyzed by the fingerprint processing software named “Digitized Quantitative Evaluation System of TCM Chromatographic Fingerprints 4.0 Intelligence Edition” (software certificate no. 0407573, China) and the Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System, version A. SPSS 26.0 statistical software was used for hierarchical clustering analysis (HCA).

3. Results and Discussion

3.1. QAMS

3.1.1. Methodology Investigation

(1) Linear Relationship. The 3, 5, 10, 15, 20, 25, and 30 μl of the abovementioned mixed reference solution were absorbed precisely and analyzed according to the abovementioned chromatographic conditions (each concentration was injected 3 times in parallel, and the average value was taken). Using the natural logarithm X (μg) of the injection mass as the abscissa coordinate and the natural logarithm Y of the peak area as the vertical coordinate, the linear regression equations of Pulsatilla saponin D, Pulsatilla saponin A, Pulsatilla saponin F, and B9 were obtained, respectively (see Table 2). The results showed that there was a good linear relationship between the four saponins detected by DAD within the specified range.

(2)Calculation of the RCF. Taking the Pulsatilla saponin D as the IRS, the RCF of Pulsatilla saponin A, Pulsatilla saponin F, and B9 was calculated according to formula (1). The results are shown in Table 3.

(3)Precision. According to the abovementioned chromatographic conditions, 20 μl of the mixed reference solution was absorbed accurately and continuous injection was performed 6 times, and the corresponding peak area was recorded. The RSDs of Pulsatilla saponin D, Pulsatilla saponin A, Pulsatilla saponin F, and B9 were calculated, and all were less than 1%, which were 0.50%, 0.81%, 0.88%, and 0.68%, respectively. The results are shown in Table 4, which indicated a good precision.

(4) Repeatability. According to the preparation method shown in Section 2.4, 6 parts of Pulsatilla total saponins from the same batch were taken, 20 mg for each, to prepare sample solutions. According to the above chromatographic conditions, the sample solutions were injected and determined. The peak areas were recorded. The RSDs of the four saponins were calculated, which were 1.41%, 2.08%, 1.81%, and 2.01%, respectively. The results are shown in Table 5, which indicated that the repeatability of the experiment was good.

(5) Stability. The same sample solution was taken and tested in accordance with the above chromatographic conditions. It was injected and measured successively at 0, 2, 4, 12, 24, and 48 h. During this process, the sample is always at room temperature. The peak areas of the four saponins at corresponding time were recorded, and their RSDs were calculated, which were 0.56%, 1.43%, 0.64%, and 1.38%, respectively (see Table 6). The results showed that the sample solution had good stability within 48 h.

(6)Recovery. The known content of Pulsatilla total saponins was about 20 mg in 6 parts, which were accurately weighed, then a certain amount of Pulsatilla saponin D, Pulsatilla saponin A, Pulsatilla saponin F, and B9 were added, respectively, and the solutions were prepared according to the preparation method of sample solution. According to the above chromatographic conditions, the solutions were injected and determined. The respective peak areas were recorded, and the average recovery rates of Pulsatilla saponin D, Pulsatilla saponin A, Pulsatilla saponin F, and B9 were calculated, which were 100.97%, 101.24%, 101.74%, and 99.70%, respectively. The corresponding RSDs were 0.85%, 0.84%, 0.82%, and 0.54%, respectively (see Table 7), which indicated that the accuracy of the experiment met the requirements.

3.1.2. The Reproducibility of the RCF

The mixed reference solution was taken for determination and analysis according to the above HPLC method. The RCF of Pulsatilla saponin A, Pulsatilla saponin F, and B9 was calculated based on the Pulsatilla saponin D according to the method under Section 2.2.1. The experiment investigated two kinds of HPLC instruments: Agilent 1260 and Agilent 1100; 3 columns of two types: Hypersil (batch no. 11242 and 11109) ODS2 C18 (4.6 mm × 250 mm, 5 μm) and Kromasil-100-5-C18 (4.6 mm × 250 mm, 5 μm). The RSDs of the RCF were all less than 2% (see Table 8), which indicated that the RCF had a good durability for different columns and instruments.

3.1.3. A Comparison between the QAMS and ESM

The different batches of total saponin extracts of Pulsatilla chinensis were taken. According to the preparation method of sample solution, the corresponding sample solutions were obtained. According to the above chromatographic conditions, 20 μl of the sample solutions and mixed reference solution were absorbed accurately, injected, and determined, respectively. The contents of Pulsatilla saponin D, Pulsatilla saponin A, Pulsatilla saponin F, and B9 in Pulsatilla total saponins were calculated by the method of QAMS and ESM, respectively. The results of the two methods were compared, and was obtained (the results are shown in Table 9). There was no significant difference of the content measured by the two methods.

3.2. Study on Fingerprint of Pulsatilla Total Saponins

3.2.1. Chromatographic Conditions

The column is Elite Hypersil ODS2 C18 (4.6 mm × 250 mm, 5 μm); flow rate: 1.0 ml/min; column temperature: 35°C; detection wavelength: 210 nm.

3.2.2. Selection of Chromatographic Conditions

In the process of fingerprint study, first, acetonitrile (A)-water (B) (v/v) was used as the mobile phase with different gradient elution conditions as follows: (1) 0∼90 min, 10%∼100% A; (2) 0–100 min, 5%∼70% A; 100–105 min, 70%∼90% A; 105∼115 min, 90%∼ 100% A; 115∼120 min, 100% A; (3) 0–30 min, 10%∼30% A; 30–35 min, 30%∼35% A; 35∼80 min, 35%∼65% A; 80∼85 min, 65% ∼90% A; 85∼90 min, 90% A; 90∼95 min, 90% ∼100% A; 95∼110 min, 100% A; 110∼120 min, 100%∼10% A; (4) 0–10 min, 10%∼17% A; 10–30 min, 17%∼30% A; 30∼32 min, 30%∼35% A; 32∼82 min, 35% ∼65% A; 82∼85 min, 65%∼70% A; 85∼115 min, 70% ∼90% A; 115∼125 min, 90%∼100% A; 125∼140 min, 100%∼ 10% A; and so on. Then, methanol (A)-acetonitrile (B)-water (C) (v/v/v) was used as the mobile phase, and the methanol (A) was always maintained at 14%. Different gradient elution conditions used were as follows: (5) 0–30 min, 5%∼25% B; 30–35 min, 25%∼36% B; 35∼70 min, 36% B; 70∼80 min, 36% ∼46% B; 80∼100 min, 46% B; 100∼120 min, 46% ∼65% B; 120∼130 min, 65% B; (6) 0–25 min, 10%∼25% B; 25–35 min, 25%∼35% B; 35∼55 min, 35% B; 55∼75 min, 35% ∼40% B; 75∼95 min, 40∼60% B; 95∼120 min, 60% ∼80% B; 120∼140 min, 80% B; (7) 0∼25 min, 5%∼25% B; 25∼30 min, 25%∼36% B; 30∼60 min, 36% B; 60∼70 min, 36%∼45% B; 70∼75 min, 45% B; and so on. A batch of extract was taken as the sample, and the sample was prepared according to the method of preparation of sample solution. The determination results are shown in Figure 2. The separation effect of the known saponin components and the number of the obtained components were used as the standard to optimize the best conditions. Although the elution conditions (1), (2), and (5) were more eluting components, the separation effect of the main saponin components was not good, so the elution condition (7) was finally adopted.

(a)

(b)

(c)

3.2.3. Fingerprint

The mixed reference solution substance and five batches of sample solutions were injected, respectively, and gradient elution was performed according to the above elution condition (7), that is, the mobile phase was methanol (A)-acetonitrile (B)-water (C) (v/v/v/) in gradient (0∼25 min: 14% A; 5%∼25% B; 81%∼61% C; 25∼30 min: 14% A; 25%∼36% B; 61%∼50% C; 30∼60 min: 14% A; 36% B; 50% C; 60∼70 min: 14% A; 36%∼45% B; 50%∼41% C; 70∼75 min: 14% A; 45% B; 41% C). The measurement was performed, and the spectrum is shown in Figure 3. The chromatographic peak positions of the reference substance could be determined by Figure 3(a): 5-D, 8-A, 9-F, and 10-B9. The peak signal of 5-D was the strongest and the degree of separation was good, so the Pulsatilla saponin D was selected as the IRS. As shown in Figure 3(b), there were 11 common peaks in the fingerprint spectrum in total. The above data were imported into the evaluation software, and the RFP was generated by means of the average value method. S_m, P_m, and α were calculated according to equations (2), (5), and (6). The 5 batches of samples were evaluated with RFP as the standard. The SPSS software was used to perform HCA on the samples with 11 common peak areas and P_m as variables. Taking the samples with 11 common peak areas as variables, it could be divided into two clusters: 1–4 was the first cluster and 5 was the second cluster according to the HCA evaluation results (as shown in Figure 3(c)); with P_m as the variable, the resulting graph was also divided into two clusters, but the second cluster was 2 (as shown in Figure 3(d)). The SQFM evaluation result showed that (see Table 10) S_m of the fifth batch of sample was significantly smaller than that of batches 1–4; the second batch of sample had the smallest P_m value and the worst quality; the third batch of sample had the largest S_m value, a larger P_m value, and the smallest α value. The grade was the lowest, and the quality was the best. Generally speaking, the quality of the five batches of samples was quite different and could not be evaluated by just one indicator. Simultaneously, it was not difficult to see that the evaluation results of HCA and SQFM were similar, but HCA was only a rough classification of the specified variables, while SQFM comprehensively controls the quality of each batch of samples through the three parameters of S_m, P_m, and α. On the basis of qualified macroscopic qualitative analysis, SQFM performed a comprehensive quantitative analysis of the fingerprint. By contrast, the quality classification results of SQFM were more rigorous, authentic, and reliable, which indicated that the SQFM could be used for the overall quantitative evaluation of Pulsatilla extract and other traditional Chinese medicines.

(a)

(b)

(c)

(d)

3.3. Discussion

In this paper, a comprehensive and objective quality evaluation of the total saponin extract of Pulsatilla chinensis was carried out by combining the QAMS and SQFM. The contents of four saponins of Pulsatilla saponin D, Pulsatilla saponin A, Pulsatilla saponin F, and B9 were determined by using HPLC and QAMS. At the same time, the methodological verification was carried out. The RCF was calculated, and the reproducibility was investigated. The experimental results of ESM and QAMS were analyzed and compared. The results showed that there was no significant difference in the content measured by the two methods. The QAMS in this study could be used for the rapid determination of various saponins in the extract of Pulsatilla chinensis, which could provide a new idea for the quality control of total saponins of Pulsatilla. At the same time, HPLC was used to study the fingerprint of total saponins extracted from Pulsatilla chinensis. First, different chromatographic elution conditions were explored. Using the separation effect of known saponins and the number of components obtained as the standard, the optimal condition was determined. The elution condition (7) was finally adopted. Then, according to the elution condition (7), the extract of total saponins from five batches of Pulsatilla chinensis was determined. SQFM and HCA were used to evaluate and analyze the fingerprints of the five batches of samples. The results showed that the quality of the five batches of samples differed greatly, but the evaluation results were objective, comprehensive, true, and clear.

4. Conclusion

QAMS has the advantages of quickness, simplicity, and low cost. It can solve the problem of restricting the related applications of chemical reference substances due to the difficulty of obtaining them. The composition of traditional Chinese medicine is complex. Different chromatographic conditions could have different chromatographic peaks. The number of chromatographic peaks, peak time, and peak shape are also affected by many factors such as solvent system, column, and instrument. Therefore, the key issue for the successful application of QAMS is how to accurately locate the chromatographic peak to be measured, for which more detailed and in-depth research is needed. Fingerprint technology, as a method of quality analysis and detection of Chinese herbal medicine and its extracts, had become the quality control standard of many regulatory institutions. The method established in this study will be able to more comprehensively reflect the types and quantities of chemical components contained in Chinese medicines and their preparations, and it provided an overall and objective description and evaluation for the quality of medicines.

Data Availability

All the datasets used in this study are included within the article.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Acknowledgments

The authors would like to thank Professor Guoxiang Sun, College of Pharmacy, Shenyang Pharmaceutical University, for providing the software “Digitized Quantitative Evaluation System of TCM Chromatographic Fingerprints 4.0 Intelligence Edition” (software certificate no. 0407573, China). This work was supported by the National Natural Science Foundation Youth Project (grant no. 81703716), Natural Science Foundation of Jiangxi Province (grant no. 20202BABL206151), Youth Talents Project of Jiangxi Science and Technology Normal University (grant no. 2017QNBJRC006), and National Undergraduate Training Program for Innovation (grant no. 202111318027).

References

National Pharmacopoeia Commission, The Chinese Pharmacopoeia (The First Part), China Medical And Technology Press, Beijing, China, 108 pages, 2020.
Z. Chen, T. Zhao, L. Zhou et al., “Drug release in vivo and efficacy evaluation of a new colon targeted powder of total saponins of Pulsatilla,” Biomedicine & Pharmacotherapy, vol. 129, Article ID 110376, 2020.
View at: Publisher Site | Google Scholar
Z. P. Liu, H. M. Pang, Y. X. Zhao, and Y. Z. Zhu, “Preliminary study on antimutag-enesis and antioxidation of aqueous extract of Pulsatilla chinensis Regel,” Canceration, Aberration, Mutation, vol. 20, no. 06, pp. 481-482, 2008.
View at: Google Scholar
Y. Sun, J. Liu, H. Yu, and C. Gong, “Isolation and evaluation of immunological adjuvant activities of saponins from the roots of Pulsatilla chinensis with less adverse reactions,” International Immunopharmacology, vol. 10, no. 5, pp. 584–590, 2010.
View at: Publisher Site | Google Scholar
Y. L. Guan, J. Y. Liu, and Y. N. Xu, “Research progress in the triterpene saponins and biological activities of the genus Pulsatilla,” Journal of Shenyang Pharmaceutical University, vol. 26, no. 01, pp. 80–84, 2009.
View at: Google Scholar
Y. Feng, Q. Li, L. Yang, Y. Zhang, D. Qiu, and X. Ding, “Simultaneous determination of osthol, columbianadin, and isoimperatorin in Angelicae pubescentis Radix by high-performance liquid chromatography (HPLC) using a quantitative analysis of multi-components by single marker (QAMS) calibration method,” Instrumentation Science & Technology, vol. 48, no. 5, pp. 550–560, 2020.
View at: Publisher Site | Google Scholar
Y.-B. Zhang, J. Da, J.-X. Zhang et al., “A feasible, economical, and accurate analytical method for simultaneous determination of six alkaloid markers in Aconiti Lateralis Radix Praeparata from different manufacturing sources and processing ways,” Chinese Journal of Natural Medicines, vol. 15, no. 4, pp. 301–309, 2017.
View at: Publisher Site | Google Scholar
D.-Q. Luo, P. Jia, S.-S. Zhao et al., “Identification and differentiation of Polygonum multiflorum radix and Polygoni multiflori radix preaparata through the quantitative analysis of multicomponents by the single-marker method,” Journal of Analytical Methods in Chemistry, vol. 2019, Article ID 7430717, 2019.
View at: Publisher Site | Google Scholar
S. Wang, Y. Xu, Y. Wang et al., “Simultaneous determination of six active components in oviductus ranae via quantitative analysis of multicomponents by single marker,” Journal of Analytical Methods in Chemistry, vol. 2017, Article ID 9194847, 2017.
View at: Publisher Site | Google Scholar
J. H. Zhang, L. X. Chen, J. N. Qiu et al., “Simultaneous determination of six chromones in saposhnikoviae radix via quantitative analysis of multicomponents by single marker,” Journal of Analytical Methods in Chemistry, vol. 2020, Article ID 7867046, 2020.
View at: Publisher Site | Google Scholar
D. Gao, Y.-M. Li, N. Wang et al., “Establishment and validation of quantitative analysis of multi-components by a single marker for quality control of polygoni multiflori radix,” Analytical Methods, vol. 8, no. 39, 2016.
View at: Publisher Site | Google Scholar
F. Li, H. Wu, L.-l. Sun et al., “Quantitative analysis of multi-components by single marker and fingerprint analysis of Achyranthes bidentata blume,” Journal of Chromatographic Science, vol. 56, no. 7, pp. 595–603, 2018.
View at: Publisher Site | Google Scholar
Y. Li, Y. Zhang, Z. Zhang, Y. Hu, X. Cui, and Y. Xiong, “Quality evaluation of gastrodia elata tubers based on HPLC fingerprint analyses and quantitative analysis of multi-components by single marker,” Molecules, vol. 24, no. 8, Article ID 1521, 2019.
View at: Publisher Site | Google Scholar
H. W. Bao, J. H. Chi, H. L. Yang, F. X. Liu, K. Fang, and Y. Xu, “Simultaneous determination of six active components in danggui kushen pills via quantitative analysis of multicomponents by single marker,” Journal of Analytical Methods in Chemistry, vol. 2019, Article ID 9620571, 2019.
View at: Publisher Site | Google Scholar
J.-J. Wang, L. Zhang, Q. Guo, J.-P. Kou, B.-Y. Yu, and D.-H. Gu, “Quantitative analysis of seven phenolic acids in eight Yinqiao Jiedu serial preparations by quantitative analysis of multi-components with single-marker,” Yao Xue Xue Bao, vol. 50, no. 4, pp. 480–485, 2015.
View at: Google Scholar
L. Cuadros-Rodríguez, C. Ruiz-Samblás, L. Valverde-Som, E. Pérez-Castaño, and A. González-Casado, “Chromatographic fingerprinting: an innovative approach for food ’identitation’ and food authentication - a tutorial,” Analytica Chimica Acta, vol. 909, pp. 9–23, 2016.
View at: Google Scholar
G. Sun and J. Liu, “Qualitative and quantitative assessment of the HPLC fingerprints of Ginkgo biloba extract by the involution similarity method,” Analytical Sciences, vol. 23, no. 8, pp. 955–958, 2007.
View at: Publisher Site | Google Scholar
T. T. Dai, F. L. Yang, J. D. Liu, and G. X. Sun, “Evaluation of the quality consistency of Zhenju Jiangya Tablets by systematic quantified fingerprint method in combination with antioxidant activity and three compounds analyses,” Microchemical Journal, vol. 150, 2019.
View at: Publisher Site | Google Scholar
M. Shi and G. Sun, “Integrated evaluation of HPLC and UV fingerprints for the quality control of Danshen tablet by systematic quantified fingerprint method combined with antioxidant activity,” Journal of Separation Science, vol. 40, no. 9, pp. 1942–1952, 2017.
View at: Publisher Site | Google Scholar
T. T. Lu, X. L. Wang, C. L. Mu et al., “Application of fingerprint combined with QAMS in quality evaluation of Aurantii Fructus,” Chinese Traditional and Herbal Drugs, vol. 52, no. 2, pp. 558–566, 2021.
View at: Google Scholar
Y. Wang, Y. Yu, G. Sun, and Y. Guo, “Quality evaluation of powdered poppy capsule extractive by systematic quantified fingerprint method combined with quantitative analysis of multi-components by single marker method,” Journal of Pharmaceutical and Biomedical Analysis, vol. 185, Article ID 113247, 2020.
View at: Publisher Site | Google Scholar
G.-X. Zou, X.-M. You, Y. Zhang, G.-H. Wang, and H. Jiang, “New method of multi-components quantitation by one marker new method for quality evaluation of Guanmaikang capsula,” Zhongguo Zhongyao ZaZhi, vol. 33, no. 15, pp. 1828–1831, 2008.
View at: Google Scholar
X. Li, H. Yang, X. Y. Pang, and G. X. Sun, “Entirely control the quality consistency of Rong’e Yishen oral liquid by both quantified profiling and quantitative analysis of multi-components by single marker method,” Journal of Pharmaceutical and Biomedical Analysis, vol. 193, Article ID 113719, 2021.
View at: Publisher Site | Google Scholar
G.-X. Sun, Y.-S. Hu, and K.-S. Bi, “Evaluating the quality of niuhuangjiedu tablets by the systematic quantified fingerprint method,” Yao Xue Xue Bao, vol. 44, no. 4, pp. 401–405, 2009.
View at: Google Scholar

Copyright

Copyright © 2022 Long Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PDF Download Citation

Download other formats

Order printed copies

Views

324

Downloads

449

Citations