HPTLC Quantification of α-Glucosidase Inhibitor Mangiferin in Hydro-alcoholic extract of Salacia Species and Antidiabetic Poly-herbal Formulation

 

Jalpa Sanandia1*, Jigna Vadalia2, Mousmi Thakur1, Navin Sheth2

1Department of Pharmaceutical Sciences, Saurashtra University, Rajkot-360005, Gujarat, India

2Graduate School of Pharmacy, Gujarat Technological University, Ahmedabad- 382424, Gujarat, India

*Corresponding Author E-mail: jalpa.sanandia@gmail.com

 

ABSTRACT:

Salacia oblonga Wall. and Salacia reticulata Wight. (Family Celastraceae) are commonly known as Saptarangi and used in Ayurvedic medicine as potent antidiabetic agent. It is a woody climber, mainly habitat in Sri Lanka and Southern India. A large number of chemical constituents such as salacinol, neosalacinol, kotalanol, neokotalanol, and mangiferin were isolated from stem and root of saptarangi which shows various therapeutics activities. Chemical constituent presents in both species of Salacia are working as α-glucosidase inhibitor for diabetes management. Among them mangiferin is a plant natural polyphenol of C-glycosylxanthone structure and found in many plant species. Many chromatography techniques like LC-MS, HPLC are available to quantify mangiferin but no proper data available for simple, rapid, precise, economic HPTLC method. So, HPTLC method was developed with mobile phase ethyl acetate: formic acid: water (4:0.5:0.5 v/v/v) which confirmed the presence of mangiferin at 0.38±0.01 Rf value observed under 254nm. Mangiferin was present in 1.02% in Salacia oblonga root extract, 0.94% in Salacia reticulata stem extract and 0.42% in polyherbal formulation. The validated HPTLC method will be useful in standardization of different Ayurvedic formulations using mangiferin as a marker.

 

KEYWORDS: HPTLC, Mangiferin, Salacia oblonga, Salacia reticulata, Saptarangi.

 

 


INTRODUCTION:

Mangiferin is known as xanthanoid glycoside and it plays an important role as α-glucosidase inhibitors for diabetes management. Mangiferin promotes glucose utilization by increasing its cellular uptake1. Mangiferin has more medicinal importance because of its strong anti-oxidant2, potential glucokinase activator3, anti-diabetic4,5,6 and anti-inflammatory7actions. Mangiferin is a C-glycosyl compound, consists of 1,3,6,7-tetrahydroxyxanthen-9-one with a beta-D-glucosyl residue at the 6-position. Mangiferin and its derived main molecule have proven its effectiveness as an antioxidant, analgesic, antidiabetic, antiproliferative, chemopreventive, radioprotective, cardiotonic, immunomodulatory and diuretic8.

 

Mangiferin is main chemical constituents of Mangifera indica but it is also found in major proportion in Salacia species. Salacia, is a genus of the family Celastraceae is one of the medicinal plant groups broadly used to treat many ailments viz. hypoglycemia, hypolipidemia, inflammation, diabetic etc9. Salacia is known as ‘Ponkoranti’ in Ayurveda. Salacia species are broadly distributed in India, China, Malaysia, Sri Lanka and Vietnam10.Various chromatographic methods like high-performance liquid chromatography  with Ultra violate visible spectroscopy (HPLC-UV)10 , reversed-phase high-performance liquid chromatography (RP-HPLC) 11, Liquid chromatography-mass spectrometry(LC-MS)12 and High performance thin layer chromatography (HPTLC)13  are available for estimation of mangiferin in different plant extracts, bioanalytical samples like rat plasma, urine etc. but HPLC, LCMS like methods are tedious, costly, take more time for preparation of samples and mobile phase  and optimization of instrumental method variables  which are associated with this type of chromatographic  methods. HPTLC is a helpful tool for identification plant, different raw materials, their extracts and formulations14. HPTLC is a modern separation technique which is concede as an exceedingly flexible and cost-efficient method15. Quantification of active constituents by using modern analytical tool is necessary for establishing the authenticity, creditability and usage of herbal formulations16. So many tests for standardization described in ancient literature seems to be based on observations and appears as subjective without valid scientific support. Hence there is need for standardization and development of reliable quality protocols of Ayurvedic formulations using modern techniques of analysis17. HPTLC analysis approach is the most potent tool for the quality control of herbal medicines because of its accuracy and reliability with ease of estimation, economic and faster analysis18,19. Therefore, an effort has been made to develop simple, rapid, economic and sensitive HPTLC method for quantification of mangiferin in two species of Salacia like Salacia oblonga, Salacia reticulata and Antidiabetic polyherbal formulation Saptrangyadi vati. These validated HPTLC method will beneficial to rapid detection of mangiferin containing herbal formulations.

 

MATERIALS AND METHODS:

Reagents and Standard:

Standard mangiferin was purchased from Yucca enterprises, Mumbai. All chemicals like Methanol, Ethyl acetate, Formic acid (98%), HPLC grade water was purchased from Merck Specialities Pvt. Ltd. (Mumbai, India). Polyherbal antidiabetic formulation Saptarangyadi vati was purchased from local market.

 

Plant Materials:

The plant materials Salacia oblonga (SO) root and Salacia reticulata (SR) stem were purchased from Sai Anandha Export, Chennai. The drugs SO and SR were identified and taxonomically authenticated by Raw Materials Herbarium and Museum (RHMD) at National Institute of Science Communication and Information Resources, New Delhi (NISCAIR) and Department of bioscience, Saurashtra University, Rajkot respectively. A voucher specimen of authenticated plant materials with reference no. SU/DPS/Herbs/67(SO) and SU/DPS/Herbs/69(SR) were preserved in Department of Pharmaceutical Sciences, Saurashtra University, Rajkot.

 

Preparation of Plant Extracts:

Dried Salacia oblonga root powder (10g) and Stem powder of Salacia reticualta (10 g) were macerated with Ethanol: Water (50:50) at room temperature for 24 h. The extracts were filtered through Whatman filter paper No. 1 and the filtrates were concentrated under reduced pressure at 40⁰C. The hydro-alcoholic extracts of Salacia oblonga root (HASO) and Salacia reticualta stem (HASR) were dried, weighed (0.26gm for HASO and 0.5gm for HASR) and stored at 4 ◦C in storage vials for experimental use.

 

Preparation of Standard mangiferin solution:

Accurately weighed 10 mg of mangiferin was dissolved in 10 ml volumetric flask using 10 ml of methanol (1mg/ml). 500μl was taken from it and diluted with 10ml methanol in 10 ml volumetric flask (50μg/ml).

 

Preparation of Test solution:

Accurately weighed 100 mg of HASO and HASR were dissolved in 10 ml methanol in 10 ml volumetric flasks separately (10mg/ml).

 

Preparation of poly-herbal formulation extract:

Weighed accurately 5 tablets of poly-herbal formulation and powdered it. Tablet powder was weighed equivalent to about 100 mg and transferred in to 10 ml volumetric flask containing 4-5 ml methanol. Sonicate it for 30 min and volume made up with methanol. Extract was filtered through Whatman filter paper No. 1

 

HPTLC apparatus and Condition:

A Hamilton microliter syringe (100 μl) was used to apply standard and samples bands (6 mm width) with under a controlled nitrogen gas using a CAMAG Linomat V sample applicator (Switzerland). As a stationary phase precoated TLC silica gel aluminium Plates 60 F254 (10 cm × 10 cm, 20cm x 10cm), (100-μm thickness, Merck, Darmstadt, Germany) were used. The slit dimension was kept at 4 mm × 0.30 mm and a scanning speed 20 mm/s. Method development was done in CAMAG twin trough a glass chamber (20 cm × 20 cm) saturated with the mobile phase. The mobile phase consisted of ethyl acetate: formic acid: water (4:0.5:0.5 v/v/v). Prior to development, the chamber was saturated with the mobile phase for 30 min at room temperature. Densitometry scanning was applicable over CAMAG TLC Scanner "Scanner_171010" operated using win CATS software (Version 1:4:6:2002). Visualization of developed plates was done in CAMAG TLC visualizer at 254 nm wavelength.

 

Estimation of mangiferin in Salacia species and Herbal formulation:

The test solutions of HASO, HASR and poly herbal formulation were spiked triplicate 10 μL respectively on precoated TLC silica gel aluminium Plates 60 F254 with the CAMAG Linomat V sample applicator. The plate was developed in mobile phase. The peak areas and absorption spectra were recorded. The amount of mangiferin in the HASO, HASR and herbal formulation were calculated for each solution by use of the calibration plot.

Method validation:

Method validation was done as per the International Conference on Harmonization (ICH) guidelines Q2 (R1)15. The method was validated for linearity, precision, accuracy, specificity, robustness, limit of detection (LOD) and limit of quantification (LOQ) 20.

 

Linearity:

Linearity of the method was studied by injection of six known concentrations of mangiferin in the range of 100-600ng/spot in triplicate. The calibration curve was obtained by plotting the peak areas versus the amounts of the standard. The result was expressed in terms of correlation coefficient.

 

Precision:

Precision studies were carried out to check reproducibility of the proposed developed method. Intraday precision study was carried out by applying six times 300 ng per band of same concentration. It can be analysing at three different times in a day for intraday precision and the same procedure was followed for three different days to determine interday precision. The precision was expressed as percentage of relative standard deviation (%RSD).

 

Accuracy:

In Accuracy recovery was evaluated. For Accuracy studies three level (50%, 100% and 150%) of known amount of test sample was added in the definite quantity of standard. Samples were prepared in triplicate.

 

Specificity:

Specificity is the ability to assess unequivocally the analyte in the presence of components which may be expected to be present. So, for specificity evaluation of Mobile phase, dissolving solvent methanol, blank (no band application) for stationary phase, standard, and test solutions were applied on plate and find out purity of sample spot corresponding to Mangiferin in samples and formulations by superimposing the spectrum of standard and sample peaks.

 

Robustness:

Robustness was studied in triplicate at 300ng/band by done small variation in optimised method parameters such as variation in scanning wavelength and chamber saturation time.

 

Limit of detection (LOD) and limit of quantitation (LOQ):

LOD and LOQ were determining based on standard deviation (SD) and slope (S) of calibration curve using following formula.

LOD = 3.3(SD/S)

LOQ = 10 (SD/S)

 

RESULTS AND DISCUSSION:

HPTLC is also an important tool for identification and isolation of different plant markers in their extracts, different formulations21,22 and adulteration23. HPTLC has powerful potential as a substitute chromatographic model for approximate partitioning properties in reinforce of environmental, and combinatorial chemistry24,25. A fast, accurate, precise and economic HPTLC technique was developed for the analysis of mangiferin in two species of Salacia and Poly herbal formulation. From several trials, the mobile phase ethyl acetate: formic acid: water (4:0.5:0.5 v/v/v) was finalised which gave good resolution and confirmed the presence of mangiferin at 0.38±0.01 Rf value observed under 254nm. The chromatogram of mangiferin standard and samples were shown in Fig. 1.

 

 

Fig. 1: HPTLC chromatogram of mangiferin standard and sample (a) Mangiferin (Standard), (b) Hydroalcoholic extract of Salacia oblonga root, (c) Hydroalcoholic extract of Salacia reticulata stem, (d) Antidiabetic polyherbal formulation

 

Mangiferin was present in 1.02% in Salacia oblonga root extract, 0.94% in Salacia reticulata stem extract and 0.42% in polyherbal formulation.  Validation parameters such as Accuracy, Precision, Specificity, Robustness, LOD and LOQ have been studied. The calibration curve was constructed from the peak area versus the concentration of the standards and exposed that the method was linear across the range of 100-600 ng/band with r2 = 0.99854 correlation coefficient (Table 1 and Fig.2)

 

Table 1: Method validation parameter for quantification of mangiferin by HPTLC

Validation parameter

Results

Method

Linear

Range

100-600ng/band

Correlation coefficient (r2)

0.99854

Regression Equation#

Y=594.319+19.695*X

SD

2.98%

LOD

0.50ng/band

LOQ

1.51 ng/band

#X is the concentration of Mangiferin in ng/mL; Y is peak area at 254 nm.

 

Fig. 2 Calibration curve of mangiferin

 

Fig. 3 Overlay graph of standard and sample peaks

 


Table 2: Intraday and interday Precision of HPTLC method

Intraday precision

Mangiferin  concentration

Area#±SD

%RSD

300 ng/band

6561.52±78.52

1.20

300 ng/band

6647.83±75.60

1.14

300 ng/band

6596.20±61.62

0.93

Interday precision

Mangiferin  concentration

Area#±SD

%RSD

300 ng/band

6561.52±78.52

1.20

300 ng/band

6594.17±64.58

0.98

300 ng/band

6272.52±76.64

1.22

#Each value is mean of six observations

 

Table 3 Recovery study of Mangiferin

levels

Amount of samples in ng/band

Known amount of standard added (ng)

Theoretical total amount (ng)

Obtained concentration

(ng) n=3 Mean±SD

% Recovery

n=3

50%

200

100

300

318.64±2.5

105.64

100%

200

200

400

399.95±0.44

99.98

150%

200

300

500

519.30±0.87

103.86

 


Method precision was studied using the sample solution containing mangiferin 300ng. Percentage relative standard deviation (%RSD) values were found to be less than 2% (Table 2) showed the acceptable precision of the method. The accuracy of the method represented by recovery studies ranged between 99.98% and 105.64% (Table 3). The LOD and LOQ were found to be 0.50ng/band and 1.51ng/band respectively, indicating the high sensitivity of the method (Table 1). Overlay graph of standard and sample peaks showed that method is very specific for mangiferin analysis (Fig.3). Results of validation parameter (Table 1, 2 and 3) showed that the developed HPTLC method is accurate, robust, linear, rapid and specific for estimation of mangiferin.

 

CONCLUSION:

The present study demonstrates a simple, accurate and precise HPTLC method for the mangiferin estimation. In addition, the proposed method does not impose a complex treatment or sophisticated analytical elements which are usually required with high performance liquid chromatography and liquid chromatography with mass spectrometry studies. Finally, the proposed method was rapid, economic and specific. So, it can be advised to use this validated HPTLC method for the routine analysis of the mangiferin, either in bulk form or in their polyherbal dosage forms.

 

ACKNOWLEDGMENT

The authors are gratefully acknowledged the financial support provided by UGC-BSR meritorious fellowship.

 

REFERENCES:

1.      Kumar BD, Krishnakumar K, Jaganathan S and Mandal M. Effect of Mangiferin and Mahanimbine on Glucose Utilization in 3T3-L1 cells. Pharmacognosy Magazine. 2013:72-5. doi:10.4103/0973-1296.108145

2.      Imran M, Arshad MS, Butt MS, Kwon JH, Arshad MU. Mangiferin: a natural miracle bioactive compound against lifestyle related disorders. Lipids in Health and Disease. 2017; 16:  1–17. doi:10.1186/s12944-017-0449-y

3.      Min Q, Cai X, Weiguang S, Li Z, Zhang Q and Wan L. Identification of mangiferin as a potential Glucokinase activator by structure-based virtual ligand screening. Scientific reports, 2017; 7: 44681: 2–10. doi:10.1038/srep44681

4.      Miura T, Ichiki H, Hashimoto I, Iwamoto N, Kato M, Kubo M, Ishihara E, KomastuY, Okada M, Ishida T, Tanigawa K. Antidiabetic activity of a xanthone compound, mangiferin, Phytomedicine, 2001; 8(2): 85-7. doi:10.1078/0944-7113-00009.

5.      Muruganandan S, Srinivasan K, Gupta S, Gupta PK and Lal J. Effect of mangiferin on hyperglycemia and atherogenicity in streptozotocin diabetic rats.Jornal of  Ethnopharmacology. 2005; 97(3): 497-501. doi: 10.1016/j.jep.2004.12.010

6.      Sellamuthu PS, Arulselvan P, Muniappan BP, Fakurazi S and Kandasamy M. Influence of mangiferin on membrane bound phosphatases and lysosomal hydrolases in streptozotocin induced diabetic rats. Latin American Journal of Pharmacy. 2012; 31 (7): 1013–20.

7.      Bulugonda RK, Kumar KA, Gangappa D, Beeda H, Philip GH, Muralidhara Rao D, Faisal SM. Mangiferin from Pueraria tuberosa reduces inflammation via inactivation of NLRP3 inflammasome. Science Report. 2017; 7: 426-83. doi:10.1038/srep42683

8.      Stohs SJ, Ray S. Anti-diabetic and Anti-hyperlipidemic Effects and Safety of Salacia reticulata and Related Species. Phytother Research. 2015; 29(7): 986-95. doi:10.1002/ptr.5382.

9.      Arivukkarasu R, X Rajasekaran A. Detection and Quantification of Anti-oxidant markers like Rutin, Catechin, Quercetin, Gallic acid, Ellagic acid, Ferulic acid, Vitexin and Mangiferin in Herbal raw materials available in market belongs to Rutaceae family by HPTLC Technique. Asian Journal of Pharmaceutical Analysis. 2021; 11(2): 151-5. doi:10.52711/2231-5675.2021.00026

10.   Jayaraj R, Sasidharan N, Tom B, Muhammad AK, Sasidharan N. Comparative Phytochemical Profiling and Quantification of Mangiferin Content in Species of Salacia from Southern Western Ghats of India 1866. Journal of Biologically Active Products from Nature. 2016; 6(3): 209-22. doi:10.1080/22311866.2016.1227721

11.   Maria TT, Ricardo FA, Gabriela S, Elias M,Cornelia MU, Robert WO. Quantitation by HPLC-UV of Mangiferin and Iso mangiferinin Coffee (Coffea arabica) Leaves from Brazil and Costa Rica After Solvent Extraction and Infusion, Food Analysis Methods.2016: 2649–55. doi:10.1007/s12161-016-0457-y

12.   Gowda N, Kumar P, Panghal S, Rajshree M. ICH guidance in practice: validated reversed-phase HPLC method for the determination of active mangiferin from extracts of Mangifera indica Linn. Journal of Chromatography Sciences. 2010; 48(2): 156-60. doi:10.1093/chromsci/48.2.156

13.   Ilango K, Ananth KK, Mohan KR, Agarwal A and Dubey GP. LC-MS Quantification of Mangiferin in hydroalcoholic extract of Salacia oblonga, Salacia roxburghii and polyherbal formulation. International Journal of Phytopharmacy. 2014; 4(1): 11-15. doi:10.7439/ijpp. v4i1.65

14.   Charadva B, Ghataliya U, Meena P, Karia K, Lakhlani T, Savalia V, Pandya D. Phytopharmacognostical and Chromatographic Evaluation of Leaves of Launaea procumbens. Research Journal of Pharmacy and Technology. 2021; 14(8): 4291-9. doi: 10.52711/0974-360X.2021.00746

15.   Nadagouda SG, Karigar AA, Joshi VG and Sikarwar MS,Validated HPTLC method for mangiferin in Salacia chinensis.Journal of Pharmacy Research. 2010; 3(5): 1107-09.

16.   Patel M. Development and Validation of Simultaneous Estimation of Two Catecholamines in Combine Dosage Form by HPTLC Method. Asian Journal of Pharmaceutical Analysis. 2014; 4(2): 57-77.

17.   Kaviarasan L, Sarojini S, Yoganandam G, Gopal V. Preparation and Standardization of Deepavali Avaleha-A Traditional Polyherbal Ayurvedic Formulation. Asian Journal of Pharmacy and Technology. 2016; 6(4): 231-37. doi: 10.5958/2231-5713.2016.00034.9

18.   Jain V, Jain T, Saraf S, Saraf S. HPTLC method for routine quality control of Ayurvedic formulation Drakshadi gutika. Asian Journal of Pharmceutical Analysis. 2013; 3(4): 111-14.

19.   Patel M, Raval M, Joshi M, Sanandia J, High-Performance Thin-Layer Chromatography and Reversed-Phase High-Performance Liquid Chromatography Methods for Fingerprinting of Salvadora persica Root Powder Extract Using Benzyl Isothiocyanate as Biomarker. Journal of Planar Chromatography- Morden TLC. 2018; 31(6): 445–50. doi: 10.1556/1006.2018.31.6.4

20.   ICH, 1996/2005. International Conference on Harmonization, ICH-Q2 (R1). Validation of Analytical Procedures: Text and Methodology. ICH, Geneva, Switzerland.

21.   Shukla A, Choudhary A, Shukla R, Kaur A. Isolation and Identification of two Triterpenoids from Ethyl acetate extract of Bark of Boehmeria rugulosa. Research Journal of Pharmacy and Technology. 2021; 14(6): 2919-3. doi: 10.52711/0974-360X.2021.00512

22.   Momin NM, Disouza JI, Tatke PA, Gonsalves M, Aparna M. Marker Based Standardization of Novel Herbal Dental Gel. Research Journal of Topical and Cosmetic Sciences. 2011; 2(1): 25-29.

23.   Kamani G, Sanghani R, Savalia V, Pandya D. Detection of Adulteration in Rubia cordifolia – A Chromatographic Approach. Research Journal of Pharmacy and Technology. 2021; 14(8): 4013-8. doi: 10.52711/0974-360X.2021.00695

24.   Patil PB. Azilsartan: A Review of Analytical Methods for estimation in Pharmaceutical Formulation. Asian Journal of Pharmaceutical Analysis. 2018; 8(4): 227-32. doi:10.5958/2231-5675.2018.00041.8

25.   Rajasekaran A, Abirami V, Arunkumar S, Priya GB, Gugapriya S, Arivukkarasu R. A Study on the variation of Apigenin content in Cardiospermum halicacabum from 21 districts of Tamil Nadu by HPTLC. Research Journal of Pharmacy and Technology. 2014; 14(5): 2613-8. doi: 10.52711/0974-360X.2021.00460

 

 

 

 

Received on 17.05.2022            Modified on 21.03.2023

Accepted on 04.10.2023           © RJPT All right reserved

Research J. Pharm. and Tech 2023; 16(11):5480-5484.

DOI: 10.52711/0974-360X.2023.00886