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Validated high performance thin layer chromatography method for the quantification of bioactive marker compounds in Draksharishta, an ayurvedic polyherbal formulation

ABSTRACT

Draksharishta is an ayurvedic polyherbal formulation with Draksha (Vitis vinifera L., Vitaceae) as chief ingredient prescribed for digestive impairment, respiratory disorders and weakness. These herbal medicines containing biologically active compounds play a significant role. Therefore it is necessary to carry out the chemical standardization of bioactive marker compounds present in the polyherbal ayurvedic formulation like Draksharishta. The aim of the present work was to develop and validate a HPTLC method for determination of gallic acid, catechin and resveratrol in commercially available marketed and in-house prepared formulations of Draksharishta. This is the first report of quantification of bioactive marker compound resveratrol using HPTLC in Draksharishta. The method employed silica gel precoated thin layer chromatography plates with F254 as the stationary phase. The respective mobile phases were used to develop the plates which separated bands according to the marker compound. Camag scanner V was used for densitometric scanning. Further, the method was validated according to International Conference of Harmonization (ICH) guidelines. The Rƒ values of the three marker compounds were measured. Correlation coefficients were calculated from the standard graph of linearity. Accuracy, precision and recovery were all within the required limits. The developed HPTLC methods for bioactive marker compounds present in in-house and marketed formulations were found to be simple, accurate, precise and robust.

Keywords:
Bioactive marker compounds; Draksharishta; HPTLC; Method validation

Introduction

In the modern pharmacology and drug development the single chemical entity which is present is responsible for the main therapeutic activity of the drug whereas the preparations of Ayurvedic formulations are based on two principles: use of a single herb or use of more than one herb, which is known as poly herbal formulation. In poly herbal formulations the combining effect of different medicinal herbs help to enhance the potency of the formulation termed as “polypharmacy or polyherbalism” (Kumar et al., 2008Kumar, V., Mukherjee, K., Kumar, S., Mal, M., Mukherjee, P.K., 2008. Validation of HPTLC method for the analysis of taraxerol in Clitoria ternatea. Phytochem. Anal. 19, 244-250.; Parasuraman et al., 2014Parasuraman, S., Thing, G.S., Dhanaraj, S.A., 2014. Polyherbal formulation: concept of ayurveda. Pharmacogn. Rev. 8, 73-80.). A marker is a chemical compound which may or may not be therapeutically active while biomarkers are therapeutically active compounds present in medicinal herbs (Bhutani, 2000Bhutani, K.K., 2000. Finger printing of Ayurvedic drugs. East. Pharm. 43, 21-26.). These ayurvedic poly herbal formulations is a big task involving quality control consistency that will ensure the therapeutic activity of the finished herbal products as claimed by the standard Ayurvedic books and manufactures. However, most of the conclusions drawn in the ayurvedic texts are based on the ancient knowledge and clinical observations; they lack the modern observations by analytical methods during preparation of a drug (Garg and Bhutani, 2008Garg, S., Bhutani, K.K., 2008. Chromatographic analysis of kutajarishta – an ayurvedic polyherbal formulation. Phytochem. Anal. 19, 323-328.). Hence there is a need for the development of a reliable protocol for quality assessment of the herbal/poly herbal products by using modern scientific analytical tools.

The fruits of Vitis vinifera L. Vitaceae, are commonly known as Draksha (raisins) in the Indian sub-continent and are used in traditional ayurvedic medicine to treat respiratory disorders, digestive disorders and general weakness. Draksharishta is an ayurvedic polyherbal alcoholic formulation included in the Ayurvedic Formulary of India in which dried fruits of V. vinifera is the chief ingredient. Draksharishta contains 5–10% of self-generated alcohol with the chemical constituents and properties of V. vinifera widely studied and reported (API I, 2000API-I, 2000. Controller of Publication. Government of India, Ministry of Health and Family Welfare, Department of Indian Systems of Medicine and Homeopathy, pp. 15–16.; Tiwari and Patel, 2012Tiwari, P., Patel, R.K., 2012. Validation of HPTLC method for quantification of quercetin and rutin in draksharishta. Asian J. Pharm. Sci. Res. 1, 7-18.). V. vinifera contains large amount of phenolic compounds such as resveratrol, catechins, epicatechin, quercetin, gallic acid, procyanidins of which resveratrol is the major constituent (Baydar et al., 2004Baydar, N.G., Ozkan, G., Sagdic, O., 2004. Total phenolic contents and antibacterial activities of grape (Vitis vinifera L.) extracts. Food Control. 15, 335-339.; Galgut et al., 2011Galgut, J.M., Peter, J., Ali, S.A., 2011. Estimation of resveratrol in Arachis hypogaea fruit skin extracts by High-Performance Thin-Layer Chromatography. Biosci. Biotechnol. Res. Commun. 4, 33-36.). These compounds have been shown to have various pharmacological activities like antiviral, anti-inflammatory, antimicrobial and antioxidant, which show favourable effects on human health such as lowering low density lipoproteins, reduction of heart disease, cancer, digestive and respiratory disorders and improving the immune system (Frankel et al., 1993Frankel, E.N., Kanner, J., German, J.B., Parks, E., Kinsella, J.E., 1993. Inhibition of oxidation of human low-density lipoprotein by phenolic substances in red wine. Lancet 341, 454-457.; Mayer et al., 1997Mayer, A.S., Yi, O.S., Person, D.A., Waterhouse, D.L., Frankel, E.N., 1997. Inhibition of human low-density lipoprotein oxidation in relation to composition of phenolic antioxidants in grapes (Vitis vinifera). J. Agric. Food Chem. 45, 1638-1643.; Teissedre et al., 1996Teissedre, P.L., Frankel, E.N., Waterhouse, A.L., Peleg, H., German, G.B., 1996. Inhibition of in vitro human LDL oxidation by phenolic antioxidants from grapes and wines. J. Sci. Food Agric. 70, 55-61.). A HPTLC method has been developed and reported for the quantitative determination of gallic acid and catechin in draksharishta (Tiwari et al., 2013Tiwari, P., Sen, D.J., Patel, R.K., 2013. Development and validation of HPTLC method for quantification of gallic acid and catechin from Draksharishta. Asian J. Res. Chem. 6, 248-253.). The hyphenated techniques like High Performance Liquid Chromatography (HPLC), Liquid Chromatography–Mass Spectrometry (LC–MS), Gas Chromatography–Mass Spectrometry (GC–MS), and Capillary Electrophoresis (CE) have been used for the determination of resveratrol (Galgut et al., 2011Galgut, J.M., Peter, J., Ali, S.A., 2011. Estimation of resveratrol in Arachis hypogaea fruit skin extracts by High-Performance Thin-Layer Chromatography. Biosci. Biotechnol. Res. Commun. 4, 33-36.). This is first report of HPTLC method development and its validation for the presence of resveratrol in Draksharishta.

In recent years, the reporting of various active ingredients (i.e. marker profiling) have shown to be a useful method for standardization and quality control of various herbal materials, especially when there is a lack of authentic standards for the identification of all active components present in these complex natural products (Lianga et al., 2004Lianga, Y.Z., Xieb, P., Chanc, K., 2004. Quality control of herbal medicines. J. Chromatogr. B 812, 53-70.; Chen et al., 2006Chen, S.B., Liu, H.P., Tian, R.T., Yang, D.J., Chen, S.L., Xu, H.X., Chan, A.S., Xie, P.S., 2006. High-performance thin-layer chromatographic fingerprints of isoflavonoids for distinguishing between Radix Puerariae Lobate and Radix Puerariae Thomsonii. J. Chromatogr. A 1121, 114-119.). For raw materials/herbal products, Thin-Layer Chromatography (TLC) and High-performance Thin-Layer Chromatography (HPTLC) has become an efficient analytical tool for their analysis. HPTLC has been widely used for the identity and quality of the botanicals because of its versatility, reliability, high-throughput and cost effectiveness (Di et al., 2003Di, X., Chan, K.K.C., Leung, H.W., Huie, C.W., 2003. Fingerprint profiling of acid hydrolyzates of polysaccharides extracted from the fruiting bodies and spores of Lingzhi by high performance thin-layer chromatography. J. Chromatogr. A 1018, 85-95.; Larsen et al., 2004Larsen, T., Axelsen, J., Ravn, H.W.J., 2004. Simplified and rapid method for extraction of ergosterol from natural samples and detection with quantitative and semi-quantitative methods using thin-layer chromatography. J. Chromatogr. A 1026, 301-304.). Furthermore, simultaneous analysis of several components in a poly herbal formulation or herbal extracts becomes possible (Patravale et al., 2001Patravale, V.B., D'Souza, S., Narkar, Y., 2001. HPTLC determination of nimesulide from pharmaceutical dosage forms. J. Pharm. Biomed. Anal. 25, 685-688.; Abourashed and Mossa, 2004Abourashed, E.A., Mossa, J.S., 2004. HPTLC determination of caffeine in stimulant herbal products and power drinks. J. Pharm. Biomed. Anal. 36, 617-620.).

According to the ICH guidelines (ICH, 1996ICH, 1996. Q2B. Validation of analytical procedure: methodology. In: International Conference on Harmonization, Geneva., 2005ICH, 2005. Q2A. Validation of analytical procedures: text and methodology. In: International Conference on Harmonization, Geneva.) in our present study the validation parameters developed were accuracy, precision, specificity and robustness for gallic acid, catechin and resveratrol in the three batches of in-house formulations and two marketed formulations of Draksharishta.

Experimental

Standards and chemicals

The analytical grades of organic solvents were procured from Merck specialities Pvt Ltd. (Mumbai). Gallic acid (≥99.5% purity) was purchased from Loba Chemie, catechin (>95% purity) was purchased from Natural Remedies and resveratrol (≥99% purity) was purchased from Sigma–Aldrich.

Plant materials and formulations

The herbs used as ingredients in the preparation Draksharishta were procured from Ayurvedic Pharmacy from the local market (Mumbai). It was deposited and authenticated under the supervision of Dr. A. S. Upadhye at Agharkar Research Institute, Pune. The respective voucher numbers were given for each herb as shown in Table 1. Materials were stored in air tight containers. The two marketed formulation of Draksharishta were purchased from the Ayurvedic Pharmacy (Mumbai).

Table 1
Authentication of 10 herbs present in the formulation Draksharishta.

Preparation of Draksharishta

The three batches of in-house formulations of Draksharishta were prepared by the method as given in Ayurvedic Formulary of India, Part-I. Identification of all the individual plant material was done as per Ayurvedic Pharmacopoeia of India. According to the method given in the standard book, the in-house formulation was prepared at lab scale level. After proper crushing, 48.9 g dried fruits of V. vinifera was placed in brass vessel and allowed to soak overnight in 1000 ml of water. This material was boiled until the water was reduced to one fourth 250 ml (decoction) of the original. Heating was stopped at this point and decoction was filtered through muslin cloth in a clean vessel. This was followed by adding 200 g of jaggery and stirred properly until homogeneous solution was obtained following a final filtration. Then, to this filtrate 8 g of Woodfordia fructicosa (Dhataki flowers) and 1 g of coarsely powdered prakshepa dravyas including Cinnamomum zeyleynicum (stem bark), Eletteria cardamomum (seeds), Cinnamomum tamala (leaves), Mesua ferrea (stamens), Callicarpa macrophylla (flowers), Piper nigrum (fruits), Piper longum (fruits), Embelia ribes (fruits) was added, stirred well and filtered again and this filtered fluid was placed for fermentation. The fermented preparation was then filtered with muslin cloth and kept in clean bottles and labelled properly. Samples were prepared from these three in-house batches and the two marketed formulations of draksharishta for HPTLC analysis.

Preparation of test sample

The three in-house and two marketed formulations of 50 ml each were dried on a water bath until the alcohol was completely removed. Then 50 ml of water was added to the residue left behind. It was then subjected to successive solvent extraction, first with hexane (150 ml) followed by chloroform (150 ml) and ethyl acetate (150 ml). For HPTLC analysis, ethyl acetate fraction of the in-house and two marketed formulations was evaporated to dryness and reconstituted with methanol as given in Ayurvedic Formulary of India, Part-I. The concentrations of three in-house and two marketed formulations obtained were 86.5, 92.5, 90.5, 100.5, 74.5 mg/ml respectively. A sample of 10 mg/ml concentration was prepared for all the in-house batches and marketed formulations. 2.0 µl of each formulation were applied on TLC plates for HPTLC analysis.

Preparation of stock solution and working standard solution of gallic acid, catechin and resveratrol

A common stock solution (1 mg/ml) of gallic acid, catechin and resveratrol was prepared by dissolving 10 mg of each in methanol and making the volume of solution up to 10 ml. The working standard solution of 100 µg/ml was prepared for each by diluting 10 times the stock solution with methanol. The aliquots (2–7 ml of gallic acid), (3–8 ml of catechin), (0.5–1 ml resveratrol) were transferred to 10 ml volumetric flasks and diluted to volume with methanol and applied on TLC plates.

HPTLC instrumentation

TLC plates with a dimension of 20 cm × 10 cm pre coated with 0.20 mm layers of silica gel 60 F254 (Merck, Darmstadt, Germany) were used for chromatography. Samples were applied as 8 mm wide bands and 11.3 mm was the distance kept between the two bands by use of sample applicator Camag Linomat V equipped with a syringe of 100 µl capacity. A constant application rate of 150 nLs−1 was used. Camag Scanner V controlled by winCATS Planar Chromatography manager software version 1.4.6 was used as a densitometric scanner. The slit dimensions were 6 × 0.45 mm and the scanning speed 20 mm/s. The radiation source used was a deuterium lamp at a wavelength of 254 nm for gallic acid and 280 nm for catechin and 306 nm for resveratrol.

Chromatographic condition

The mobile phase selected was a mixture of toluene, ethyl acetate and formic acid (6:4:0.8, v/v) for gallic acid, toluene, ethyl acetate and formic acid (5:4:1, v/v) for catechin and chloroform, ethyl acetate and formic acid (5:4:1, v/v) for resveratrol. Plate development was done in a Camag 20 cm × 10 cm glass twin-trough chamber. Before insertion of the plate, the chamber was saturated with mobile phase vapour for 5 min at room temperature (25 ± 2 ºC), with the solvent front (development distance) being 7 cm. After the TLC plates were developed and dried by using an air dryer, densitometry scanning was performed at a wavelength of λ = 254 nm for gallic acid, λ = 280 nm for catechin and λ = 306 nm for resveratrol.

Calibration curves of gallic acid, catechin and resveratrol and their analysis in formulations

To determine the linearity, calibration curves were plotted. A 10 µl of each concentration range (20–70 µg/ml) was applied on TLC plates to get final concentration 200–700 ng/spot for gallic acid, (30–80 µg/ml) 300–800 ng/spot for catechin and (5–10 µg/ml) 50–100 ng/spot for resveratrol. The densitometry scanning was performed for each standard and the presence of gallic acid, catechin and resveratrol present in the in-house and marketed formulations were quantified by means of calibration plot.

Method validation

Precision

Six replicates of same concentration of gallic acid (300 ng/spot), catechin (300 ng/spot) and resveratrol (60 ng/spot) were used for the determination of instrumental precision and the repeatability of the method was estimated by carrying out intra-day and inter-day precision at three different concentration levels 200, 400 and 700 ng/spot for gallic acid, 300, 500 and 800 ng/spot for catechin and 50, 70 and 100 ng/spot for resveratrol.

Limits of detection and quantification

In order to estimate the limit of detection (LOD) and limit of quantification (LOQ), blank methanol was spotted six times in a similar way to that of the calibration curve and the signal-to-noise ratio was determined. The calculation was based on the standard deviation (SD) of the response and the slope (S) of the calibration curve. The LOD was considered as 3:1 (SD/S) and LOQ as 10:1 (SD/S).

Accuracy and recovery studies

The accuracy of the method was determined by calculating the recovery of gallic acid, catechin and resveratrol in mixture by standard addition method. To measure the accuracy, known amount of standard solutions of gallic acid, catechin and resveratrol were spiked to 80, 100 and 120% of a pre-quantified sample solution and then their response (peak area) was measured and percentage recovery was calculated. Each response was taken as the average of three determinations.

Robustness

The composition of mobile phase was changed slightly and the effects on the results were examined. Toluene, ethyl acetate and formic acid (6.5:4.5:0.8, v/v) for gallic acid while toluene, ethyl acetate and formic acid (5.5:4.5:1, v/v) for catechin and chloroform, ethyl acetate and formic acid (5.5:4.5:1, v/v) for resveratrol were selected and the chromatograms and run. The amount of mobile phase, temperature and duration of saturation were varied at range of +5%. Time from spotting of all the three standards on TLC plate to the development of the plate and the time from development of plate to scanning was varied as 10, 20 and 30 min. Robustness of the method was checked following the same three different concentration levels as mentioned in precision.

Specificity

The specificity of the method was ascertained by analysing reference standard, test sample, diluent and mobile phase. The spot of the each standard in the sample was confirmed by the R f values of the separated bands with those of the standards. The peak purity of gallic acid, catechin and resveratrol were measured by comparing the spectra at three different levels i.e. peak start, peak apex and peak end of the spot.

Results and discussion

Optimization of mobile phase

As mobile phase plays a very important role in the chromatographic method, the first step for development of a successful method is to optimize the solvent system for good extraction efficiency. Method that gives dense and compact spots with significant values for determination of gallic acid, catechin and resveratrol in formulations was developed. To optimize the mobile phase, different ratios of Toluene: ethyl acetate: formic acid was studied. Use of toluene, ethyl acetate and formic acid (6:4:0.8, v/v) (Vadivelu and Saraswathy, 2013Vadivelu, L., Saraswathy, A., 2013. Quantification of pharmacologically active markers gallic acid, quercetin and lupeol from Acacia leucophloea wild flowers by HPTLC method. J. Anal. Bioanal. Tech. 4, 1-4.) resulted in sharp, well defined gallic acid peaks of Rƒ 0.32 ± 0.02 while solvent system toluene, ethyl acetate and formic acid (5:4:1, v/v) (Dhalwal et al., 2008Dhalwal, K., Shinde, V.M., Biradar, Y.S., Mahadik, K.R., 2008. Simultaneous quantification of bergenin, catechin, and gallic acid from Bergenia ciliata and Bergenia ligulata by using thin-layer chromatography. J. Food Compos. Anal. 21, 496-500.) resulted in sharp catechin peaks of Rƒ 0.44 ± 0.02 and chloroform, ethyl acetate, and formic acid (5:4:1, v/v) (Rolfs and Kindl, 1984Rolfs, C.H., Kindl, H., 1984. Stilbene synthase and chalcone synthase: two different constitutive enzymes in cultured cells of Picea excelsa. Plant Physiol. 75, 489-492.) resulted in sharp, well defined resveratrol peaks of Rƒ 0.58 ± 0.02. Before the plate development, the chamber was pre-saturated with the mobile phase for 5 min at room temperature. The three dimensional HPTLC overlay of gallic acid, catechin and resveratrol are shown in Fig. 1.

Fig. 1
3D overlay of HPTLC chromatograms of gallic acid, catechin, resveratrol, in-house and marketed formulations.

Calibration curves of gallic acid, catechin and resveratrol and their analysis in formulations

Linearity of an analytical method is its ability, within a given range, to obtain test results that are directly, or through a mathematical transformation, proportional to concentration of analyte (Patel et al., 2011Patel, R.B., Patel, M.R., Bhatt, K.K., Patel, B.G., 2011. Development and validation of HPTLC method for estimation of carbamazepine in formulations and it's in vitro release study. Chromatogr. Res. Int., http://dx.doi.org/10.4061/2011/684369.
http://dx.doi.org/10.4061/2011/684369...
). A good linear relationship between response (peak area) and amount was obtained over the range of 300–700 ng/band for gallic acid at 254 nm, 300–800 ng/band for catechin at 280 nm and 60–100 ng/band for resveratrol at 306 nm. Linear regression data for the calibration plot as correlation coefficients (r) were found to be 0.999, 0.995 and 0.993 respectively tabulated in Table 2 and illustrated in Fig. 2. The data reveals a good linear relationship with the concentration range studied demonstrating its suitability for analysis and also indicated adherence of the method to Beer's law. Gallic acid was found to be 1.767, 1.841, 1.911, 1.361, and 1.595% while catechin was found to be 3.241, 3.142, 3.222, 0.080, and 0.049%, and resveratrol was found to be 0.541, 0.537, 0.538, 0.086, and 0.116% in in-house formulation 1, 2 3, and marketed 1 and 2 formulations, respectively.

Table 2
Method validation parameters for the quantification of gallic acid, catechin and resveratrol.

Fig. 2
Calibration plot (a) gallic acid, (b) catechin and (c) resveratrol.

Precision

In order to control scanner parameters, that is, repeatability of measurement of peak area, instrumental precision was checked by repeated scanning (n = 6) of the same spot of gallic acid (300 ng/spot), catechin (500 ng/spot) and resveratrol (80 ng/spot) and were expressed as % RSD and was found to be less than 3% as shown in Table 2, ensuring repeatability of developed method as well as proper functioning of the HPTLC system. The intra-day refers to the use of analytical procedure within a laboratory over a short period of time and inter-day precision involves estimation of variations in analysis when a method is used within a laboratory on different days. The results are shown in Table 3. The method was found to be precise based on the results obtained in the intra-day and inter-day precision evaluation study.

Table 3
Intra and inter-day precision of HPTLC (n = 6).

Limit of detection and quantification

Detection and quantitation limits with signal-to-noise ratios of 3:1 and 10:1 were considered. Under the experimental conditions employed, limit of detection is the lowest amount of analyte that could be detected was found to be 300 ng/spot for gallic acid and catechin and 60 ng/spot for resveratrol and limit of quantification, the lowest amount of analyte that could be quantified was found 900 ng/spot for gallic acid and catechin and 180 ng/spot for resveratrol as shown in Table 1 which indicates the adequate sensitivity of the method.

Accuracy and recovery studies

Accuracy of an analytical method is the closeness of test results to true value analyte (Patel et al., 2011Patel, R.B., Patel, M.R., Bhatt, K.K., Patel, B.G., 2011. Development and validation of HPTLC method for estimation of carbamazepine in formulations and it's in vitro release study. Chromatogr. Res. Int., http://dx.doi.org/10.4061/2011/684369.
http://dx.doi.org/10.4061/2011/684369...
). It was determined by the application of analytical procedure to recovery studies. The pre-analyzed in-house sample of Draksharishta and its marketed formulation were spiked with 80, 100 and 120% of gallic acid, catechin and resveratrol standard and the mixtures were analyzed again, in triplicate, by the proposed method, to check the recovery of different amounts of these marker compounds. Average recovery for gallic acid, catechin and resveratrol was found to be 87.50, 105.70 and 87%, respectively for in-house sample and 89.74, 103.86 and 85.33%, respectively, for the marketed formulation of Draksharishta as depicted in Table 4. This shows the accuracy of the method in a desired range.

Table 4
Recovery study of gallic acid, catechin and resveratrol.

Robustness

The standard deviations of peak areas were calculated for each parameter and %RSD was found to be less than 3%. The low values of %RSD obtained after introducing small deliberate changes in the developed HPTLC method, indicated the robustness of the method. The developed HPTLC method remained to be unaffected by the small but deliberate variations in the experimental parameters, indicating suitability and reliability of the developed method during normal use, thereby indicating the robustness of the method.

Specificity

Specificity is the ability of an analytical method to assess unequivocally the analyte in the presence of sample matrix analyte (Patel et al., 2011Patel, R.B., Patel, M.R., Bhatt, K.K., Patel, B.G., 2011. Development and validation of HPTLC method for estimation of carbamazepine in formulations and it's in vitro release study. Chromatogr. Res. Int., http://dx.doi.org/10.4061/2011/684369.
http://dx.doi.org/10.4061/2011/684369...
). The peak purity was calculated as per regression (r2). The values for gallic acid was r2(start, middle) = 0.9980 and r2(middle, end) = 0.9973, for catechin r2(start, middle) = 0.9969 and r2(middle, end) = 0.9973 and for resveratrol r2(start, middle) = 0.9985 and r2(middle, end) = 0.9990. Chromatographic specificity was investigated by comparing the Rƒ value of standards and samples and it was found to be identical. No impurities or degradation products were found along with the peaks of standard drug solutions, hence making the method specific.

Conclusions

The identification and quantification of active ingredients in polyherbal ayurvedic formulations like asavas and arishtas can be evaluated by use of validated analytical methods. A new HPTLC method has been developed for the identification and quantification of gallic acid, catechin and resveratrol in in-house prepared and marketed formulations of draksharishta. Low cost, faster speed, and satisfactory precision and accuracy are the main features of this method. The method was successfully validated as per ICH guidelines and statistical analysis proves that the method is sensitive, specific, repeatable and robust. This method can be conveniently employed for routine quality control analysis of all the three marker compounds for marketed formulations in Ayurvedic/Herbal industry.

Acknowledgements

The authors are grateful to Dr. Aparna Khanna, Dean of Sunandan Divatia School of Science, Mumbai for providing the necessary facilities for carrying out the experimental work and Anchrom laboratory, Mumbai for extending their competence and providing necessary amenities to carry out this work.

References

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  • Chen, S.B., Liu, H.P., Tian, R.T., Yang, D.J., Chen, S.L., Xu, H.X., Chan, A.S., Xie, P.S., 2006. High-performance thin-layer chromatographic fingerprints of isoflavonoids for distinguishing between Radix Puerariae Lobate and Radix Puerariae Thomsonii J. Chromatogr. A 1121, 114-119.
  • Dhalwal, K., Shinde, V.M., Biradar, Y.S., Mahadik, K.R., 2008. Simultaneous quantification of bergenin, catechin, and gallic acid from Bergenia ciliata and Bergenia ligulata by using thin-layer chromatography. J. Food Compos. Anal. 21, 496-500.
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  • Larsen, T., Axelsen, J., Ravn, H.W.J., 2004. Simplified and rapid method for extraction of ergosterol from natural samples and detection with quantitative and semi-quantitative methods using thin-layer chromatography. J. Chromatogr. A 1026, 301-304.
  • Lianga, Y.Z., Xieb, P., Chanc, K., 2004. Quality control of herbal medicines. J. Chromatogr. B 812, 53-70.
  • Mayer, A.S., Yi, O.S., Person, D.A., Waterhouse, D.L., Frankel, E.N., 1997. Inhibition of human low-density lipoprotein oxidation in relation to composition of phenolic antioxidants in grapes (Vitis vinifera). J. Agric. Food Chem. 45, 1638-1643.
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  • Patel, R.B., Patel, M.R., Bhatt, K.K., Patel, B.G., 2011. Development and validation of HPTLC method for estimation of carbamazepine in formulations and it's in vitro release study. Chromatogr. Res. Int., http://dx.doi.org/10.4061/2011/684369
    » http://dx.doi.org/10.4061/2011/684369
  • Patravale, V.B., D'Souza, S., Narkar, Y., 2001. HPTLC determination of nimesulide from pharmaceutical dosage forms. J. Pharm. Biomed. Anal. 25, 685-688.
  • Rolfs, C.H., Kindl, H., 1984. Stilbene synthase and chalcone synthase: two different constitutive enzymes in cultured cells of Picea excelsa Plant Physiol. 75, 489-492.
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Publication Dates

  • Publication in this collection
    Sep-Oct 2016

History

  • Received
    14 Dec 2015
  • Accepted
    23 Mar 2016
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