DEVELOPMENT OF HPTLC METHOD FOR THE ESTIMATION OF ONDANSETRON AND RANITIDINE IN COMBINED DOSAGE FORM

INDIAN DRUGS ◽  
2015 ◽  
Vol 52 (12) ◽  
pp. 42-48
Author(s):  
P. J. Patel ◽  
◽  
D. A Shah ◽  
F. A. Mehta ◽  
U. K. Chhalotiya
Keyword(s):  
Thin Layer ◽  
Stationary Phase ◽  
Thin Layer Chromatography ◽  
Silica Gel ◽  
High Performance ◽  
Dosage Form ◽  
Solvent System ◽  
Rf Values ◽  
Layer Chromatography ◽  
Hptlc Method

A simple, sensitive and precise high performance thin layer chromatographic (HPTLC)method has been developed for the estimation of ondansetron (OND) and ranitidine (RAN) in combination. The method was employed on thin layer chromatography (TLC) and aluminium plates were precoated with silica gel 60 F254 as the stationary phase, while the solvent system was methanol. The Rf values were observed to be 0.5 ± 0.02, and 0.3 ± 0.02 for OND and RAN, respectively. The separated spots were densitometrically analyzed in absorbance mode at 299 nm. This method was linear in the range of 25-300 ng/band for OND and 50-600 ng/band for RAN. The limits of detection for OND and RAN were found to be 3.47 and 1.83 ng/band, respectively. The limits of quantification for OND and RAN were found to be 10.53 and 5.55 ng/band, respectively. The proposed method was validated with respect to linearity, accuracy, precision and robustness. The method was successfully applied to the estimation of OND and RAN in combined dosage form.

DEVELOPMENT AND VALIDATION OF A HIGH-PERFORMANCE THIN-LAYER CHROMATOGRAPHY FOR THE DETERMINATION OF TERBUTALINE SULFATE, BROMHEXINE HYDROCHLORIDE, AND ETOPHYLLINE IN PHARMACEUTICAL DOSAGE FORM

2019 ◽  
pp. 296-301
Author(s):  
MEHUL M PATEL ◽  
JIGISHA CHAUHAN ◽  
HARSHAL SHAH
Keyword(s):  
Thin Layer ◽  
Thin Layer Chromatography ◽  
High Performance ◽  
Dosage Form ◽  
Pharmaceutical Dosage Form ◽  
Terbutaline Sulfate ◽  
Development And Validation ◽  
Layer Chromatography ◽  
Hptlc Method

Objective: The study aimed to development and validation of simple, precise, and reliable high-performance thin-layer chromatography (HPTLC) for the determination of terbutaline sulfate (TBS), bromhexine hydrochloride (BRH), and etophylline (ETP) in pharmaceutical dosage form. Methods: A simple, precise, rapid, and accurate HPTLC method was developed for the estimation of TBS, BRH, and ETP in pharmaceutical dosage form. Pre-coated silica gel G60 F254 aluminum sheet (10 cm2×10 cm2 and thickness 0.2 mm) was used as stationary phase while mobile phase consisting of benzene: methanol:glacial acetic acid 8:0.5:1.5 v/v/v detection at 275 nm. The present method had validated according to ICH guidelines. Results: Migration distance found 80 mm at 275 nm. The retention factor found to be 0.24, 0.57, and 0.68, respectively. The detector response was linear in the concentration range of 60–210 ng/band, 2400–8400 ng/band, and 96–336 ng/band, respectively. The linear regression equation being Y=32.20x−562.9, Y=11.79x−1711, and Y=1.756x−5636, respectively. The limit of detection for TBS 0.677 μg, for BRH 8.123 μg, and for ETP 57.915 μg and limit of quantification to be 2.053, 24.617, and 175.5 μg, respectively, were found. The developed method validated by ICH guideline, i.e., accuracy, precision, robustness, specificity, and system suitability. Conclusion: In this study, we had developed a simple, fast, and reliable HPTLC method for the determination of TBS, BRH, and ETP in pharmaceutical dosage form.

OPTIMIZATION OF THIN LAYER CHROMATOGRAPHY METHODS FOR SEPARATION AND IDENTIFICATION OF ANTIDEPRESSANTS IN THEIR MIXTURE

2014 ◽  
Vol 21 (1) ◽  
pp. 11-15
Author(s):  
Daiva Kazlauskienė ◽  
Guoda Kiliuvienė ◽  
Palma Nenortienė ◽  
Giedrė Kasparavičienė ◽  
Ieva Matukaitytė
Keyword(s):  
Thin Layer ◽  
Thin Layer Chromatography ◽  
Solvent System ◽  
Ammonia Solution ◽  
Relative Standard ◽  
Rf Values ◽  
Solvent Systems ◽  
Paroxetine Hydrochloride ◽  
Fluvoxamine Maleate ◽  
Layer Chromatography

By conducting the toxicological analysis it is meaningful to determine the analytical system that could identify simultaneously several medicinal preparations quickly and precisely. The purpose of this work was to create and validate the method of thin-layer chromatography that would be suitable to separate the components of antidepressant mixture (amitriptyline hydrochloride, paroxetine hydrochloride, sertraline hydrochloride, fluvoxamine maleate and buspirone hydrochloride) and to identify them. The system was validated with regard to the sensitivity, repetition of data, resistance and particularity. The solvent systems with potential of high separation of components in their mixture were created: acetonitrile, methanol, ammonia solution 25 percent (85:10:5); acetonitrile, methanol, ammonia solution 25 percent (75:20:5); dichlormethane, 1,4-dioxane, ammonia solution 25 percent (50:45:5); dichlormethane, 1,4-dioxane, ammonia solution 25 percent (42:55:3); trichlormethane, 1,4-dioxane, ammonia solution 25 percent (25:70:5); trichlormethane, 1,4-dioxane, ammonia solution 25 percent (60:36:4). One of the most suitable solvent systems for separation of the analyzed mixture (sertraline, amitriptyline, paroxetine, buspirone, fluvoxamine) was determined – acetonitrile, methanol, ammonia solution 25 percent (85:10:5). When this solvent system was used, the average Rf values of the analyzed compounds differed the most. Validation was conducted – the relative standard deviation (RSD, percent) of the average Rf value of the analyzed compounds varied from 0,6 to 1,8 percent and did not exceed the permissible error of 5 percent. The sensitivity of methodology was determined by assessing the intensity of the mixture’s spots on the chromatographic plate. The detection limit of buspirone was 0,0012 µg; sertraline – 0,0008 µg; amitriptyline – 0,0004 µg; fluvoxamine – 0,0004 µg; paroxetine – 0,0008 µg. The resistance of results to the changed conditions – it was determined that when the amounts of the solvents acetonitrile and methanol were increased or decreased to two milliliters, the average Rf values of the analyzed compounds did not change statistically significantly

scholarly journals DETERMINATION OF 10-GINGEROL IN INDIAN GINGER BY VALIDATED HPTLC METHOD OF SAMPLES COLLECTED ACROSS SUBCONTINENT OF INDIA

2016 ◽  
Vol 8 (12) ◽  
pp. 190
Author(s):  
Kamran Ashraf ◽  
Syed Adnan Ali Shah ◽  
Mohd Mujeeb
Keyword(s):  
Thin Layer ◽  
Thin Layer Chromatography ◽  
High Performance ◽  
Limit Of Detection ◽  
Limit Of Quantification ◽  
Chromatography Method ◽  
Aluminum Plates ◽  
Layer Chromatography ◽  
Hptlc Method

<p><strong>Objective: </strong>A simple, sensitive, precise, and accurate stability indicating HPTLC (high-performance thin-layer chromatography) method for analysis of 10-gingerol in ginger has been developed and validated as perICH guidelines.</p><p><strong>Methods: </strong>The separation was achieved on TLC (thin layer chromatography) aluminum plates pre-coated with silica gel 60F<sub>254</sub> using n-hexane: ethyl acetate 55:45 (%, v/v) as a mobile phase. Densitometric analysis was performed at 569 nm.</p><p><strong>Results: </strong>This system was found to have a compact spot of 10-gingerol at <em>R</em><sub>F</sub> value of 0.57±0.03. For the proposed procedure, linearity (<em>r</em><sup>2</sup> = 0.998±0.02), limit of detection (18ng/spot), limit of quantification (42 ng/spot), recovery (ranging from 98.35%–100.68%), were found to be satisfactory.</p><p><strong>Conclusion: </strong>Statistical analysis reveals that the content of 10-gingerol in different geographical region varied significantly. The highest and lowest concentration of 10-gingerol in ginger was found to be present in a sample of Patna, Lucknow and Surat respectively which inferred that the variety of ginger found in Patna, Lucknow are much superior to other regions of India.</p>

scholarly journals High Performance Thin Layer Chromatography Fingerprinting Analysis of Piper betle L. Leaves

2021 ◽  
pp. 8-15
Author(s):  
Ramdas N. Kale ◽  
Ravindra Y. Patil
Keyword(s):  
Thin Layer ◽  
Thin Layer Chromatography ◽  
High Performance ◽  
Methanolic Extract ◽  
Chemical Constituents ◽  
Piper Betle ◽  
Soxhlet Apparatus ◽  
Rf Values ◽  
Pharmacologically Active ◽  
Layer Chromatography

Introduction: Many modern medicines used today based on plants and plant products. Piper betle is generally known as the betle vine, it is an important medicinal and recreational plant. High performance thin layer chromatography (HPTLC) is an advanced powerful analytical method with more separation power, high performance and superior reproducibility than classic thin layer chromatography (TLC). A chromatographic fingerprint of a plant extract is a chromatographic pattern of some common chemical constituents of pharmacologically active and/or chemical characteristics. Chromatographic fingerprints are useful in authentication and identification of plant. Objectives:  Objectives of present research was to establish HPTLC fingerprinting of methanolic extract of Piper betle L. leaves. Materials and Methods: Methanolic extract of Piper betle leaves was prepared using soxhlet apparatus. HPTLC studies were performed using a CAMAG HPTLC system equipped with automatic TLC sampler-4 (ATS 4), TLC scanner 4, and vision CATS 3.0 software. Results: The study revealed the presence of alkaloids with Rf value 0.65, flavonoids with Rf values 0.19, 0.29, 0.72, 0.95., and phenolic compound with Rf value 0.7. Conclusion: The HPTLC fingerprinting profile developed for the methanolic extract of Piper betle L. leaves will help in proper identification of the plant.Piper betle

scholarly journals Normal and reversed phase thin-layer chromatography of new 16, 17-secoestrone derivatives

2003 ◽  
Vol 68 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Marijana Acanski ◽  
Suzana Jovanovic-Santa ◽  
Lidija Jevric
Keyword(s):  
Thin Layer ◽  
Stationary Phase ◽  
Thin Layer Chromatography ◽  
Silica Gel ◽  
Reversed Phase ◽  
Retention Behavior ◽  
Mobile Phases ◽  
Layer Chromatography

The retention behavior and separation ability of a series of new 16,17-secoestrone derivatives has been studied on silica gel, alumina and C-18 silica gel layers with non-aqueous and aqueous-organic mobile phases. The retention behavior and separation ability are discussed in terms of the nature of the solute, eluent and stationary phase.

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