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ISSN: 2157-7099
Journal of Cytology & Histology

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Optimization and Validation of a Fingerprint about Hypericum perforatum L.Extracts by Plackett-Burman Randomization Method

Shu Jie Shen1, Yan Ru Liu1,2 , Chun Hua Guo1,3, Rong Qing Huang1*, Jian Yun Yang1 and Bing Kun Xiao1

1Beijing Institute of Radiation Medicine, No. 27 Taiping Road, Haidian District, Beijing 100850, PR China

2Shanxi Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Shaanxi University of Chinese Medicine, No.1 Middle Weiyang Road, QinduDistrict, Xianyang, Shaanxi, PR China

3Jiangxi University of Traditional Chinese Medicine, No.18, Yunwan Road, Wanli District, Nanchang 330004, PR China

*Corresponding Author:
Huang R-Q
Beijing Institute of Radiation Medicine
NO. 27 Taiping Road, Haidian District
Beijing 100850, PR China
Tel: 86 13681493410
Email:[email protected]

Received date: November 04, 2014; Accepted date: January 07, 2015; Published date:January 09, 2015

Citation: Shen S, Liu YR, Guo CH, Huang RQ, Yang JY, et al. (2014) Optimizatio and Validation of a Fingerprint about Hypericum perforatum L. Extracts by Plackett-Burman Randomization Method. J Cytol Histol 6:301. doi:10.4172/2157-7099.1000301

Copyright: © 2015 Shen S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

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Abstract

Hypericum perforatum L. (HPL) has been used as a beneficial herb on menopause related syndromes for many years by inhibiting lipid oxidation. Hypericum perforatum L. extract contain flavonoids and phenolic acids, but it was not a method to separate and identify flavonoids which was based on design of experiment. Moreover, upper complicated HPLC method might cause undesirable effects on feasibility and repeatability in fingerprint technology. It was necessity to establish a generally and systematized way which could develop a reliable fingerprint technology for Chinese medicine. Plackett-Burman design method was a conventional tool for variables randomization aiming at optimization. Our study was based on this optimized design of experiment about ethanol extract from Hypericum perforatum L. and established the corresponding method for separation and identification of flavonoids. With this Design-Expert software, the results showed HCRF have significant effect on variables. From One-factor plots for main effect of HCRF, 254 nm wavelength measurement have a significant influenced on the HCRF, and have provided the optimized parameters.

Keywords

Plackett-Burman (PB) design; Flavonoids; Fingerprint technology

Introduction

Menopausal syndrome was one of the important factors, which affects the interference middle-aged and old women's life quality for many years. Hypericum perforatum L. has been used for the treatment of antidepressant and antioxidant widely. Plackett-Burman design method was a conventional tool for variables randomization. Such diversity could be within the same species. For that differentiated strains might have some minor or major differences [1,2]. This design method could enable randomizing different variables aiming to get the best conditions where each variable coordinates with other variables to give the best expected results [3]. Simple tools could be used to conduct complicated target if the correct variables have been used or if successful alternative variables are used as well. The main pharmacological activity of Hypericum perforatum L. was flavonoids. Flavonoids actively ingredients could remove ABTS•+(2,2'-azino-bis-(3-ethylbenzthiazoline-6-sulfonic acid) on free radical) radical activity [4]. While the current study had not established the appropriate methods to separate and to identify about flavonoids on optimal design experiments (DOE, Design of Experiment) on the ethanol extract of Hypericum perforatum L. In addition, HPLC method might affect the feasibility and the reproducibility of fingerprints. Therefore, it is necessary to establish a reliable and easily systematic approach of Hypericum perforatum L. fingerprints. We choose five common and representative Hypericum perforatum L. flavonoids (rutin, hyperoside, quercitrin, hypericin and quercetin) based on the Plackett-Burman randomization method. This study was based on the optimized design of ethanol extract from Hypericum perforatum L. and aimed at established the corresponding method for separation and identification of flavonoids.

Materials and Methods

Materials

Standard extracts rutin (purityN97%), hyperoside (purityN98%), quercitrin (purityN98%) and quercetin (purityN98%) from HPL were obtained commercially from Must Biotechnology CO., LTD. (Chengdu, China).

Regents

Methanol (Fisher, Fair Lawn, NJ, USA) and formic acid (Fluka, Buchs, Switzerland) were of HPLC grade. The pure-distilled water used was Watsons pure distilled water.

Screening design and main effect plot

Hypericumperforatum L. and reference substance solution preparation: The standard sample of rutin, Hyperoside, quercitrin and quercetin were weighed accurately, and dissolved in methanol to prepare the solution of compounds into 0.1 mg/mL, respectively. The same operation of Hypericum perforatum L. from alcohol extract into 2 mg/ml.

The design of Chromatography elution system impact factor

This study was based on the formula of liquid chromatography, the elution dynamics system and the thermodynamics factors could be optimized design. In the pre-experiment, acetonitrile water system has been proved preferable results of separation condition. And specific concentrated formic acid for pH of mobile phase system has been selected as a modifier. Then other variables such as oven temperature was depend on experimental condition.

Statistical analysis

Design-Expert statistical software (Version8.0.6, Minneapolis, MN) was used to design and to analysis. In this study, the experimental P-B design (N=12) was used to identify the main factors affecting the responses among numerous variables [5]. Multifactor (such as the detection wavelength, column temperature, gradient time, sample volume, flow rate, concentration of acid, initial proportion of acetonitrile) were analysed of variance (ANOVA) after the HPLC analysis process. This experimental was paralleled operation three times. In this study, an experimental Box–Behnken response surface design was built to optimize the main factor which was affects the response among variables optimal parameters setting.

Optimization of a liquid chromatography factor

The ratio of liquid phase organic solvent was an important factor about the retention time. Due to the methanol has interacts with analyte hydrogen bond and stronger polarity than acetonitrile. So we selected acetonitrile as organic phase. Besides, column temperature was another parameter that affecting retention time of polar compound. In facts, with the increasing temperature and elevating diffusion, coefficient could generate narrow peaks and higher resolution. Taking the life-span of the column into account, the column temperature range was set in 25~40°C. So the ODS column and the mobile phase of acetonitrile-water were selected as a separate system. Meanwhile, a low concentration of formic acid was added to suppress the ionization of flavonoids and other carboxylic acids.

Plackett-Burman (PB) design of experiment

To optimize the controllable factors, including separates of column temperature, detection wavelength, injection volume, gradient elution parameters and initial concentration of organic solvent, Plackett-Burman (PB) test design method was applied, which allows the number of possible factors to be minimized with an efficiency option. Our study adopts four corresponding factors∑Rs, r*(x10-3)and HCRF to be evaluated for the quality of the fingerprint from many aspects (as seen table 1). Besides, four corresponding factors were imported in Desigtn-Expert statistical software (Version8.0.6, Minneapolis, MN) which was based on the Plackett-Burman (PB) pilot program. It is shows that the relationship between variables and HCRF regression equation have statistically significant (p=0.0053). As a result, the equation of HCRF could evaluate the quality of fingerprints.

HCRF=1,000,000n+100,00Rmin+(tm-t1) (formula 1)

ΣRs r*×10-3 Ф HCRF
21.41 129.6382 56.01743 27066001
46.52 82.33626 35.86686 10187007
39.29 147.7798 38.9847 15066009
123.36 215.547 47.86575 5483008
90.36 0.098556 467.4022 56060001
57.02 16.79956 42.18741 10160008
10.33 703.5344 49.17757 58047001
11.61 744.7321 56.39541 50043003
8.27 547.1393 52.85101 77055000
94.35 50.21223 47.18402 7154009
104.26 74.18386 73.93493 10176007
20.35 137.4934 55.45506 25051005

Table 1: Table response results.

The effect on HCRF had determined with the significant p values. By the analysis of variance, learning that the statistically significant have influenced on variable factors which contains: detection wavelength, initial organic phase proportion, injection volume and velocity of flow (p=0.0005, p=0.0005, p=0.032, p=0.0444), while other factors had no effect on HCRF (P > 0.05) (Figure 1).

cytology-histology-one-factor-plots

Figure 1: Response one-factor plots for main effect of HRCF, 254 nm wavelength measurement has distinctively effect on the HCRF.

From One-factor plots for main effect of HRCF, we found that the 254 nm wavelength measurement had effect on the HCRF distinctively. Column temperature and injection volume had elevated the spectrum of HCRF, but the longer gradient would cause the higher initial ratio organic phase. Greater acid concentration and faster flow rate were still left much to be desired in analysis.

Box-Behnken response surface analysis

The Box-Behnken response surface design was applied to find more about optimized significant factors. Hoping to find the maximum setting of HCRF, the experimental for Box-Behnken was established with four factors and three levels design.

The equation was: Ey=b0+b1z1+…+ b4z4+b11z12+…+ b11z12+ b12z1z2+…b34z3z4

From the analysis of variance, the corresponding p value =0.1098. It indicated that the equation had small proportion in the actual fitting of non-normal errors and had intimated correspond with factors. Response surface plots shows the inject volume and the detective wavelength for (a) and (b) at 254 nm and 20 ul, respectively; and the detective wavelength and initial concentration of acetonitrile for (c) and (d) at 254 nm and 15%, respectively (Figure 2).

cytology-histology-detection-wavelength

Figure 2: a, b shows that the detection wavelength had better effects on the surface than the increasing sample volume, while c, d shows that with increase in initial organic phase, the response surface decreases gradually, but the flow velocity has no effect on it.

As shown in the picture, with the same detection of wavelength, the detection wavelength had better effects on the surface than the increasing sample volume (Figure 2a and 2b). With the increasing initial organic phase, the response surface decreased gradually, but the flow velocity had no effect on it (Figure 2c and 2d). Then, the lower organic could contribute to separate polar components in Hypericum perforatum L. (mainly flavonoids). In other words, the detection wavelength and the initial ratio of organic phase had no interacting effect on the response factors.

With the maximum response factor from the equation, we obtain the best optimal parameters. After three repeated tests to verify the results of factor analysis, the result shows: Column: Diamonsil C18 (250 mm x 4.6 mm I.D., 5 μm.), Detection wavelength: 254 nm, column temperature: 40°C, gradient time: 25 min, sample volume: 25 μl, Flow rate: 0.8 ml/min, the initial ratio of acetonitrile: 15%, the acid concentration: 0.05%.

Fingerprint similarity evaluation

Compared with standard medicinal herbs extracted from Hypericum perforatum L. for HPLC spectrum, and used traditional Chinese medicine (TCM) chromatographic fingerprint similarity evaluation system for the median similarity evaluation, the result shows that the average similarity was 96.0% (as seen table 2).

Compound 20121004-1 20121004-2 20121004-3 compared fingerprint(CF)
20121004-1 1     0.952
20121004-2   1   0.981
20121004-3     1 0.947
(CF) 0.952 0.981 0.947 1
Mean       0.96

Table 2: HPLC fingerprint compared between Hypericum perforatum L. extracts and standard extracts.

Method Validation

Peak identification

According to the standard chromatogram separation in the same chromatographic conditions, Main active compounds peak were identified from the fingerprint (Figure 3).

cytology-histology-standard-medicinal

Figure 3: Compared with the standard medicinal in the same chromatographic conditions, and identified the main active compounds in the fingerprints, this Hypericum perforatum L. fingerprint shows: 1.rutin 2.hyperoside 3.quercitrin 4.quercetin 5.hypericin.

Linearity and range

Hyperoside standards sample (5 mg) was weighed accurately into a 25 ml brown volumetric flask. Added the mobile phase to the scale line, the stock solution was made to standard solution. Used the mobile phase concentration to dilution and 0.22 µm membrane to filter, the standard stock solution was mixed into 10~100 μg/ml linear working fluid. Besides, the working fluid was transferred to the chromatograms with 20 μl sample injection. After the test, calculation of the equation was Y=37393X+71352, r=0.9995(Figure 4).

cytology-histology-range-standard

Figure 4: Linearity and range standard curves of hyperoside (10~100 μg/ml). It reveals hyperoside had better linearity in range from 10 μg/ml to 100 μg/ml (50%~500%LC).

Precision test

The standard stock solution of hyperin (20 μg/ml) were diluted with the mobile phase to prepare the concentration 80%, 100% and 120%, respectively. Each concentration had three copies and used 0.22 µm membrane to filter. Besides, the working fluid was transferred to the chromatograms with 20 μl sample injection. Calculating the method of precision and the inter day precision for each concentration. It shows that 80%, 100% and 120% solution precision were 0.52%, 0.36% and 1.28%. Meanwhile, the 72 h solution between day precision were 0.62%, 0.45% and 0.16%. Our study which established chromatographic conditions about the precision method and the inter day precision were successful.

Recovery test

According to Chinese pharmacopoeia [6] of traditional Chinese medicine (TCM) in the provisions of the quality control methods (The pharmacopoeia of the People's Republic of China. 2010), Hypericum perforatum L. extract powder of hyperoside (1 g, 6 copies) were weighed accurately into 10 ml brown volumetric flasks. Hyperoside standard stock solution (1 ml) was added to each copy and used the mobile phase concentration to diluting. Dissolved by the ultrasonic and using 0.22 µm membrane to filter, the solution was transferred to the chromatograms with 20 μl sample injection. Finally, the rate of hyperin recovery was 98~102%, RSD=1.69%, which illustrated this method had got a better accuracy

Determination of the content

Hypericum perforatum L. extract powder (5 g) were weighed accurately into the 25 ml brown volumetric flask. Besides, mobile phase was added to the scale line. Solutions which parallel to prepare three copies were dissolved by ultrasonic about 30 min and used 0.22 µm membrane to filter. What’s more, the solution was transferred to the chromatograms with 20 μl sample injection. Finally, according to the external standard method, Hypericum perforatum L. extract powder of hyperoside was calculated by the peak area. The content of hyperoside was 0.026%, RSD=0.67%.

Conclusion

PlackettBurman design proves to be a powerful tool for optimizing variables. The study shows 254 nm wavelength measurement had significant influence on it, and had afford better optimized parameters from One-factor plots for main effect of HCRF. In conclusion, Plackett-Burman (PB) design of experiment have established the appropriate methods to separate and to identify about flavonoids on the alcohol extract of Hypericum perforatum L., which could be widely used in quality control of compound extract and quality assessment process.

Acknowledgment

This work was supported by the National Natural Science Foundation of China (Project No. 21375147), Beijing Natural Science Foundation (Project No. 7142125) and the National Key Technologies R&D Program for New Drugs of China (No.2012ZX09301003-001-010).

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