Journal of Chromatography & Separation Techniques

Journal of Chromatography & Separation Techniques
Open Access

ISSN: 2157-7064

+44 1300 500008

Research Article - (2017) Volume 8, Issue 4

A Novel Fingerprinting Method for Glycosides in Nakshatra Plants by HPTLC

Lokesh T1*, Dileep KK2, Gayathri S1, Begum MS1, Rameshwar RK1, Rajasekhar RB2 and Varadacharyulu C1
1Department of Biochemistry, Sri Krishnadevaraya University, Anantapuramu, Andhra Pradesh, India
2Department of Microbiology, Sri Krishnadevaraya University, Anantapuramu, Andhra Pradesh, India
*Corresponding Author: Lokesh T, Department of Biochemistry, Sri Krishnadevaraya University, Anantapur, Andhra Pradesh, India, Tel: +919290667964 Email:

Abstract

Nakshatra plants are medicinally important and used from olden days onwards to treat various diseases. In the present study, a HPTLC method was developed for separation of glycosides in plants. The powdered drug of Nakshatra plant was extracted with ethanol and identification was done chemically by Molisch's, Fehling's, Bial's test and separation of glycosides was performed densitometrically at λ=254-700 nm using as a mobile phase, ethyl acetate: methanol: water (20:2.5:2.5). The results of qualitative analysis revealed the presence of carbohydrates, reducing sugars and pentose. HPTLC method achieved a good separation of glycosides at 254 nm, 304 nm, 354 nm, 404 nm with recorded peak areas and Rf values. The comparative common compound of sample glycosides was also done.

Keywords: Glycosides; HPTLC; Mobile phase; Nakshatra plants

Introduction

Nearly 80% of global population depends on plant derived medicines [1]. There has been a public demand for plant based health products in developed and developing countries [2] and 50% of modern clinical drugs originate from natural products [3]. Plant secondary metabolites (PSMs), the constituents of plant kingdom constituents, are the most widely distributed heterogenous group of substances. Among PSMs is, glycosides play numerous important roles in living organisms [4]. Glycosides are widely used in the manufacture of several products/ drugs by and also pharmaceutical industries for other purposes such as flavouring agents [5]. A large number of medicinal plants are now widely used all over the world for production of glycosidic compounds as both traditional and modern drugs and development of new drugs. These are formed by glycosylation of secondary metabolites. It is reported that species of Nakshtra plants containing different glycosidic compounds play an important role in ayurveda and are useful to different purposes in life [6]. Studies on Nakshtra plants for identification and classification of compounds having aldehyde groups present in plants as secondary metabolites revealed that these phytocompounds serve as building blocks in the synthesis of several commercially important products [7]. It is well known that human beings are always dominated by the presence of sun, moon and other planetary structures which play a vital role in Astrology and Nakshtra plants were named after respective planets and these plant species possess medicinal properties for treating various diseases [8,9]. Moreover, each plant of this group is believed to exert positive effect on the nature of human being thus increasing the positive energy level of that place and thus gives the vaastu balancing effect of that place [10]. These plant species were arranged according to Bentham and Hooker system of classification and reported from the flora of the Gujarat state in India [9].

Phytochemical evaluation was done in many of these plants to know moieties of flavonoids, terpenoids, phenolics and other alkaloids [11]. Available literature revealed that different glycosides from these plants may possess good therapeutic applications [12]. However, very limited information is available on glycosides in Nakshtra plants. In routine TLC (Thin layer chromatography) testing, the detection is done by spray method and the Rf value is not accurate [13]. Hence, this study is designed to identify glycosides present in these plants and to isolate glycosides from leaves of various Nakshtra groups of plants using HPTLC.

Materials and Methods

Materials

The leaves of Nakshatra plants growing in Anantapur district of Andhra Pradesh state in India were collected. The chemicals used for extraction, testing and chromatography were of analytical grade. The solutions and reagents were prepared using distilled water. TLC plates were purchased from MERCK (25 TLC aluminum sheets 20 × 20 cm Silica gel 60 F 254).

Methods

Collection of plant leaves and extraction: The freshly collected leaves were cleaned under water and dried for 4 to 8 days at room temperature and powdered using a mixer-grinder. The powdered sample (3 gm) or test was extracted with 40 mL of 70% EtOH on a rotary shaker (120 thaws / min) for 8 hours. Five mL of 70% lead acetate was added to the filtrate and centrifuged at 5000 rpm for 10 min. The supernatant was further centrifuged by adding 3 mL of 6.3% Na2CO3 at 10000 rpm for 10 min (approximately 3 mL of Na2CO3 for 20 mL of filtrate). The retained supernatant was dried and redissolved in 4 mL of chloroform. The residue dissolved in chloroform was tested for presence of carbohydrates. Testing for carbohydrates was carried out by Molisch’s, Fehling’s and Bial’s tests [14].

Separation of glycosides by HPTLC

Sample application: Sample solutions for HPTLC analysis were applied by means of a CAMG Linomat V automated with 6 mm. The glycosides were separated using EtOAc-MeOH-H2O (20:2.5:2.5) as the mobile phase. After chromatograph development, the zones were quantified by linear scanning at 254 to 700 nm by the increment of 50 nm with a CAMAG TLC scanner 3 with a deuterium source in the resolution mode 100 μm for step, slit dimension settings of length 5.00 and width 0.45 mm Micro and scanning speed 20 mm/s. The peak areas and Rf values were determined using CATS TLC software (version 4.x, CAMAG TLC, Software) [5,15].

HPTLC Instrument CAMAG Company
Sample Application Instrument: Linomat V
Syringe Volume 100 µL
HPTLC plate Size 10 ×10 cm plate
Sample application volume 5 µL
Band length 6 mm
Distance between bands 10 mm
Chromatography development: Chamber 20 × 10 cm
Mobile Phase EtOAc-MeOH-H2O (20: 2.5: 2.5)
Saturation Period 60 min
Scanner Scanner III
Wave length 254-700 nm
Wave length increment 50 nm
Scanning Speed 20 mm/s
Slit dimension 5.00 × 0.45 mm Micro
Resolution 100 um/step
Determination CATS TLC software

Results And Discussion

The chemical structure of secondary plant product is glycosylated to form glycosides without exception more complex than that of primary products [16]. In nature glycosides are formed by interaction of nucleotide glycosides with alcohol, phenol, steroid, triterpenoid and flavonoids etc. and joined by glycosidic linkage [17]. These are present in flowers, fruit pigments and leaves show their action as anti-inflammatory, anti-diarrheal, anti-allergic, anti-thrombotic, anti tumour [4]. HPTLC is the widely used technique for the identification of botanical glycosides from plants. HPTLC has many advantages like multiple separations and detection procedures [6]. Hence, it is useful in qualitative analysis of plant products. For making green society, our chromatographers now prefer to develop environmental friendly, useful chromatographic systems for analysis. HPTLC is a powerful technique used for detection and potential quantitation of drugs and compounds in clinical samples. Nowadays, the interest in study of natural product is growing rapidly, especially as a part of drug discovery programs [18]. The results of screening of the carbohydrate in Nakshatra plants are presented in Table 1. Different tests conducted with the samples revealed the presence of carbohydrates (all), reducing sugars (Amala, Jamun, Khair, Pimpal, Palas, Roal, Rui) and pentoses (Jamun, Palas, Arjun, Bakul, Savar, Kadamba, Neem) in moderate concentrations in Nakshatra plants. Further, glycosides were also noticed. It was concluded that the Nakshatra plants have secondary metabolite of glycosides of different groups. They are reported to be effective in reducing blood lipid, in assimilating cholesterol, inhibiting thrombosis, dilating the coronary artery, and as antioxidatives etc. Different groups of glycosides present in the plant extracts were separated by High Performance TLC. The pinkish violet colour confirmed the presence of glycosides in the given samples. From the results obtained after densitometric scanning, good separation was observed at wavelengths of 254 nm, 304 nm, 354 nm, 404 nm were shown in Table 2. Vet shows 9 peaks at 254 nm, similarly mango shows 6 peaks at 254 nm, savar and arjun shows 9 peaks at 404 nm. Payar, pimpal, umber, jai and palas shows 8 peaks at 404 nm phanas shows 4 peaks at 404 nm, only roal shows 8 peaks at 354 nm, kadam, nagakeshar and amla show 5 peaks at 304 nm while jamun, neem, beal and moha 4 peaks at 304 nm, khair, rui, vad and chandan show 3 peaks and velu and shami show 2 peaks at 304 nm in Table 3. The corresponding HPTLC densitograms of Nakshatra plants were represented in Figure 1a-1x. The most appropriate mobile phase used for the separation is EtOAc-MeOH-H2O (20: 2.5: 2.5). The concentration of glycosides was also assessed by determining the percent area and Rf values which are shown in Table 3. The peaks obtained from Nakshtra plant extracts when used for comparative analysis revealed that the Rf 0.83 is common for found in the extracts of prayer, pimple, jai, umber, neem and Velu as shown in Figure 2. Similarly, another glycoside with Rf value of 0.82 is common by foumnd in arjun, roal, mango, nagakeshar and shami represented in Figure 3. Thus, present HPTLC studies confirmed the presence of active glycosides in the ethanolic extract of Nakshatra plant species. The active glycosides combine with proteins to form glycoproteins, with lipids to form glycolipids which involve are in membrane formations, transportation and signal transduction and hormonal regulation of several biological functions.

chromatography-separation-techniques-densitogram

Figure 1a: Densitogram obtained from mango.

chromatography-separation-techniques-obtained-vet

Figure 1b: Densitogram obtained from Vet.

chromatography-separation-techniques-obtained-Moha

Figure 1c: Densitogram obtained from Moha.

chromatography-separation-techniques-densitogram-obtained-amla

Figure 1d: Densitogram obtained from Amla.

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Figure 1e: Densitogram obtained from Chandan.

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Figure 1f: Densitogram obtained from Beal.

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Figure 1g: Densitogram obtained from Vad.

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Figure 1h: Densitogram obtained from Shami.

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Figure 1i: Densitogram obtained from Rui.

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Figure 1j: Densitogram obtained from Neem.

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Figure 1k: Densitogram obtained from Nag.

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Figure 1l: Densitogram obtained from Velu.

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Figure 1m: Densitogram obtained from Khair.

chromatography-separation-techniques-kadamba

Figure 1n: Densitogram obtained from Kadamba.

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Figure 1o: Densitogram obtained from Bakul.

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Figure 1p: Densitogram obtained from Roal

chromatography-separation-techniques-panas

Figure 1q: Densitogram obtained from Panas.

chromatography-separation-techniques-arjun

Figure 1r: Densitogram obtained from Arjun.

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Figure 1s: Densitogram obtained from Payar.

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Figure 1t: Densitogram obtained from Pimpal.

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Figure 1u: Densitogram obtained from Palas.

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Figure 1v: Densitogram obtained from Jai.

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Figure 1w: Densitogram obtained from Savar.

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Figure 1x: Densitogram obtained from Umber.

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Figure 2: Percentage of Common glycosides present in Payar, Pimpal, Jai, Umber, Neem, Velu plant extracts.

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Figure 3: Percentage of Common glycosides present in Arjun, Roal, Mango, Naagakesher, Shami plant extracts.

chromatography-separation-techniques-hptlc-Spectrum

Figure 3a: HPTLC Spectrum of glycosides from Nagkesher, Vad, Jamun, Mango, Shami, Adulsa, Amla, Rui, Velu overlaid with the corresponding peaks at 254 nm.

chromatography-separation-techniques-Spectrum-glycosides

Figure 3b: HPTLC Spectrum of glycosides from Palas, Kadamba, Pimpal, Kair, Savar, Bakul, Jai overlaid with the corresponding peaks at 254 nm.

chromatography-separation-techniques-jambul-overlaid

Figure 3c: HPTLC Spectrum of glycosides from Phanas, Payar, Arjun, Roal, Beal, Kuchala, Neem, Jambul overlaid with the corresponding peaks at 254 nm.

chromatography-separation-techniques-glycosides-Phanas

Figure 3d: HPTLC Spectrum of glycosides from Phanas, Payar, Arjun, Roal, Beal, Kuchala, Neem, Jambul overlaid with the corresponding peaks at 304 nm.

chromatography-separation-techniques-glycosides-Umber

Figure 3e: HPTLC Spectrum of glycosides from Umber, Vet, Chandan, Moha overlaid with the corresponding peaks at 254 nm.

chromatography-separation-techniques-Spectrum-glycosides

Figure 3f: HPTLC Spectrum of glycosides from Umber, Vet, Chandan, Moha Overlaid with the corresponding peaks at 304 nm.

S. No. Nakshatra Botanical Name Common Name Family Molish’s Test Fehling’s Test Bial’s Test
1 Aswini Strychnus nuxvomica Kuchla, Kajara Loganiaceae + + Nil
2 Bharani Emblica officinalis Aamla Euphorbiaceae + ++ Nil
3 Krutika Ficus glomeata Umber Articaceae + + Nil
4 Rohini Eugenia jambolana Jamun Myrtaceae + ++ +
5 Mruga Shirsha Acacia catechu Khair Mimosaceae + ++ Nil
6 Ardraa Santalum album Chandan Santalaceae + + Nil
7 Punarvasu Bambus aerandinasia Velu Graminae + + Nil
8 Pushya Ficus religiosa Pimpal Articaceae + ++ Nil
9 Ashiesha Messu aferrea Naagkeshar Guttiferae + + Nil
10 Magha Ficus bengalensis Vad Articacea + + Nil
11 Purvaphalaguni Butea frondosa Palas Fabaceae + ++ +
12 Uttaraphalguni Ficus infectoria Payar Articaceae + + Nil
13 Hasta Jasminum auriculatum Jaai Oleaceae + + Nil
14 Chitra Aegle marmalos Bael Rutaceae + + Nil
15 Swati Terminalia arjuna Arjun Combretaceae + + +
16 Vishakha Adhatoda vasica Elephant apple Guttiferae + + Nil
17 Anuradha Mimus opselengi Bakul Sapotaceae + + +
18 Jeshta Salmaliam albarica Saavar Malvaceae + + +
19  Mul Veteria indica Roal Dipterocarpaceae + ++ Nil
20 Purvaashadha Calamus roteng Vet Palmae + + Nil
21 Uttaraashadha Artocarpus integrifolia Phanas Articaceae + + Nil
22 Shravan Calotropis gigantea Rui Asclepediaceae + ++ Nil
23 Dhanishta Prosopis spicigera Shami Mimosaceae + + Nil
24 Shattaraka Mitrigyna parvifolia Kadamba Rubiceae + + +
25 Purvabhadrapada Mangifera indica Amba Anacardiaceae + + Nil
26 Uttarabhadrapad Azadirachta indica Neem Meliaceae + + +
27 Revati Madhuca indica Moha Sapotaceae + + Nil

Note: += indicates the presence

Table 1: Qualitative tests for carbohydrates in Nakshatra plants.

Botanical Name Hindi/Marathi Name UV-Visible at 254-700 nm
Mangifera indica Amba 254
Calamus roteng Vet 254
Madhuca indica Moha 304
Bambusa erandinasia Velu 304
Santalum album Chandan 304
Messua ferrea Naagkeshar 304
Ficus bengalensis Vad 304
Azadirachta indica Neem 304
Calotropis gigantea Rui 304
Aegle marmalos Beal 304
Eugenia jambolana Jamun 304
Emblica officinalis Aamla 304
Prosopis spicigera Shami 304
Acacia catechu Khair 304
Mitrigyna parvifolia Kadamba 304
Mimusops elengi Bakul 304
Veteria indica Roal 354
Artocarpus integrifolia Phanas 404
Terminalia arjuna Arjun 404
Ficus infectoria Payar 404
Butea frondosa Palas 404
Ficus religiosa Pimpal 404
Strychnus nuxvomica Kuchla, Kajara 404
Salmalia malbarica Saavar 404
Jasminum auriculatum Jaai 404
Ficus glomeata Umber 404

Table 2: Optimum UV-Vis ranges (254 to 700 nm) for separation of glycosides in Nakshatra plants.

Plant name and
Wave length (nm)
Peak Start Rf End Rf Area Area%
Mango at 254
  1 0.01 0.11 6882.2 14.74
  2 0.30 0.38 710.6 1.57
  3 0.60 0.62 163.4 0.36
  4 0.67 0.74 510.4 1.13
  5 0.78 0.82 437.0 0.96
  6 0.82 0.99 36820.6 81.24
Vet at 254
  1 0.12 0.20 806.9 2.63
  2 0.24 0.30 1214.8 3.97
  3 0.31 0.36 1929.3 6.30
  4 0.36 0.42 1927.1 6.29
  5 0.44 0.48 748.5 2.44
  6 0.51 0.58 770.3 2.52
  7 0.68 0.76 1408.6 4.60
  8 0.76 0.92 12886.3 42.08
  9 0.92 1.00 8933.1 29.17
Moha at 304
  1 0.28 0.34 528.8 3.41
  2 0.34 0.41 978.8 6.32
  3 0.75 0.79 239.5 1.55
  4 0.79 0.99 13743.4 88.72
Amla at 304
  1 0.04 012 3439.6 11.74
  2 0.57 0.64 424.8 1.45
  3 0.76 0.80 258.7 0.86
  4 0.81 0.93 17205.8 58.70
  5 0.93 1.00 7987.3 27.25
Chandan at 304
  1 0.74 0.85 3281.1 14.39
  2 0.85 0.92 8392.2 36.81
  3 0.92 1.00 11126.8 48.80
Beal at 304
  1 0.00 0.07 7279.0 27.71
  2 0.09 0.18 3205.2 12.20
  3 0.81 0.94 9046.8 34.44
  4 0.94 1.00 6740.2 25.66
Vad at 304
  1 0.03 0.1 2938.5 9.87
  2 0.35 0.39 350.9 1.18
  3 0.77 0.99 26475.9 88.96
Shami at 304
  1 0.05 0.07 300.9 1.1
  2 0.82 0.99 27171.9 98.9
Rui at 304
  1 0.01 0.10 4517.4 12.05
  2 0.79 0.90 11842.2 31.58
  3 0.90 1.00 21144.5 56.38
Neem at 304
  1 0.02 0.06 1095.2 4.22
  2 0.11 0.20 2095.5 8.08
  3 0.72 0.83 2696.8 10.40
  4 0.83 1.00 20037.9 77.29
Naagkeshar at 304
  1 0.03 0.09 2508.9 6.3
  2 0.04 0.19 12209.3 3.09
  3 0.27 0.81 1084.8 2.72
  4 0.37 0.42 1184.4 2.96
  5 0.82 1.0 33841.2 84.93
Jamun at 304
  1 0.03 0.11 4142.5 18.24
  2 0.12 0.18 1195.9 5.26
  3 0.76 0.83 1008.6 4.44
  4 0.83 1.00 16369.2 72.06
Velu at 304
  1 0.01 0.11 5367.3 16.01
  2 0.83 1.00 28153.5 83.99
Khair at 304
  1 0.4 0.15 1163.4 12.00
  2 0.15 0.21 402.0 4.25
  3 0.81 1.00 8128.4 83.85
Kadam at 304
  1 0.11 0.15 3222.0 12.62
  2 0.15 0.18 624.5 2.95
  3 0.18 0.23 502.0 1.97
  4 0.74 0.80 1210.9 4.74
  5 0.81 1.00 19973.6 78.23
Bakul at 304
  1 0.4 0.14 980.5 9.23
  2 0.15 0.18 183.8 1.73
  3 0.84 0.99 9456.5 89.04
Roal at 354
  1 0.01 0.08 11996.4 20.56
  2 0.08 0.17 11250.7 19.28
  3 0.17 0.22 3478.5 5.96
  4 0.26 00.33 6403.1 10.97
  5 0.33 0.40 5095.6 8.73
  6 0.40 0.49 2722.6 4.77
  7 0.55 0.68 3837.1 6.58
  8 0.82 0.97 13503.8 23.14
Phanas at 404
  1 0.00 0.11 12403.3 63.76
  2 0.14 0.20 2641.6 13.62
  3 0.77 0.85 748.8 3.85
  4 0.85 0.99 3551.9 18.77
Arjun at 404
  1 0.12 0.08 9903.3 23.94
  2 0.09 0.19 7348.1 17.77
  3 0.19 0.24 2550.3 6.17
  4 0.31 0.40 3184.3 7.70
  5 0.45 0.54 1555.4 3.76
  6 0.73 0.81 865.2 2.09
  7 0.82 0.87 612.7 1.48
  8 0.87 0.90 2334.0 5.06
  9 0.90 0.94 13001.7 31.44
Payar at 404
  1 0.02 0.08 6647.1 19.41
  2 0.08 0.18 5184.4 15.54
  3 0.18 0.24 2082.1 6.08
  4 0.28 0.39 3725.5 10.88
  5 0.45 0.52 821.2 2.40
  6 0.76 0.83 669.2 1.95
  7 0.83 0.87 580.9 1.70
  8 0.87 1.00 14535.8 42.45
Pimpal at 404
  1 0.11 0.14 4870.7 15.57
  2 0.15 0.17 430.7 1.38
  3 0.32 0.37 1446.3 4.62
  4 0.37 0.41 833.5 2.66
  5 0.72 0.78 621.1 1.99
  6 0.79 0.83 1280.4 4.09
  7 0.83 0.90 5845.4 18.04
  8 0.90 0.99 16159.3 51.65
Palas at 404
  1 0.11 0.13 3674.1 13.10
  2 0.14 0.20 719.9 2.57
  3 0.30 0.38 1088.8 3.88
  4 0.39 0.42 486.6 1.72
  5 0.73 0.78 1207.6 4.31
  6 0.79 0.84 1866.4 6.65
  7 0.84 0.95 1345.3 48.55
  8 0.95 1.00 5389.8 19.22
Jai at 404
  1 0.11 0.15 354.7 19.70
  2 0.16 0.21 1030.0 5.73
  3 0.34 0.37 605.7 3.73
  4 0.39 0.43 573.7 3.14
  5 0.47 0.49 89.8 0.50
  6 0.76 0.78 184.9 1.03
  7 0.83 0.93 5068.2 28.20
  8 0.93 1.00 6876.9 38.27
Savar at 404
  1 0.11 0.15 5594.0 17.96
  2 0.15 0.18 1166.4 3.75
  3 0.24 0.29 1574.3 5.06
  4 0.33 0.36 1190.6 5.82
  5 0.36 0.41 1100.4 3.71
  6 0.61 0.67 444.1 1.43
  7 0.79 0.84 16667.8 5.36
  8 0.84 0.90 4413.9 14.17
  9 0.90 0.97 14089.7 45.24
Umber at 404
  1 0.02 0.07 261.9 0.85
  2 0.11 0.17 709.6 2.30
  3 0.21 0.29 2300.4 7.47
  4 0.30 0.41 4898.2 15.91
  5 0.41 0.44 1008.2 3.27
  6 0.44 0.51 1594.0 5.18
  7 0.76 0.83 2666.2 8.66
  8 0.83 1.00 17350.2 56.35

Table 3: HPTLC profile of the Nakshatra plants for glycosides.

Conclusion

A simple, precise, accurate and reproducible HPTLC method was successfully developed for analysis of medicinal products in Nakshatra plants containing glycosides. This method enabled us to detect and quantify the number of glycosides in various medicinal products such as extracts and formulations. The method can be applied by pharmacists to estimate glycosides in their products as a routine control method and also to keep a check on the variations from batch to batch. The ethanol extract of Nakshatra plants containing glycosides is found to be better when compared to extraction with other solvents and can be used for further formulations. From the HPTLC studies, it has been found that the mixture of ethyl acetate, methanol and water used as mobile phase contains not a single compound but a mixture of compounds confirming that the pharmacological activity shown by them is due to the cumulative effect of all the compounds in composite sample. It is concluded that some glycosides in Nakshatra plants varied in their concentration when compared with other medicinal plants. A comparative HPTLC analysis of nakshtra plant extracts provides a comparative account of the amount of glycosides present in the particular plants. For further study, pure common glycoside compound should be isolated and identified on the basis of reference standards from leaves of Nakshtra plants for assessing its potent pharmacological properties.

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Citation: Lokesh T, Dileep KK, Gayathri S, Begum MS, Rameshwar RK, et al. (2017) A Novel Fingerprinting Method for Glycosides in Nakshatra Plants by HPTLC. J Chromatogr Sep Tech 8:378.

Copyright: © 2017 Lokesh T, 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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