Use of multiple Rf values for identification by paper and thin-layer chromatography

1974 ◽  
Vol 46 (1) ◽  
pp. 53-58 ◽  
Author(s):  
Kenneth A. Connors
Keyword(s):  
Thin Layer ◽  
Thin Layer Chromatography ◽  
Rf Values ◽  
Layer Chromatography

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

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.

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 Profile of Thin-Layer Chromatography and UV-Vis Spectrophotometry of Akar Kuning Stem Extract (Arcangelisia flava)

2018 ◽  
Vol 1 (2) ◽  
pp. 72-76 ◽  
Author(s):  
Mohammad Rizki Fadhil Pratama ◽  
Suratno Suratno ◽  
Evi Mulyani
Keyword(s):  
Thin Layer ◽  
Thin Layer Chromatography ◽  
Ethanol Extract ◽  
Retention Factor ◽  
Polar Solvents ◽  
Central Kalimantan ◽  
Stem Extract ◽  
Rf Values ◽  
Layer Chromatography ◽  
Chloroform Methanol

This study aims to obtain the profile of Thin-Layer Chromatography (TLC) and Ultraviolet-Visible (UV-Vis) spectrophotometry from ethanol extract of akar kuning stems (Arcangelisia flava) from Central Kalimantan. The TLC method is used with the orientation phase of the combination of polar-non-polar solvents resulting from orientation, while ethanol is used as the solvent for UV-Vis spectrophotometers. TLC results showed the formation of 3 stains on a combination of polar solvents chloroform : methanol : water while in a non-polar solvent combination n-hexane : ethyl acetate did not show any stains. Comparison of retention factor (Rf) values show the best combination of polar solvents to separate stains at a ratio of 5 : 2 : 1, respectively. Separation in 2-dimensional TLC with polar solvents showed a similar pattern with 1-dimensional separation in the form of 3 stains. UV-Vis spectrophotometer results showed 4 main peaks with wavelength 227.2; 267.4; 345.2; and 425.3 nm, respectively. The profile of the peak formed is very similar to that shown by berberine, one of the main metabolites of akar kuning. TLC and UV-Vis spectrophotometers profiles obtained are expected to support further research using akar kuning stems, especially those from Central Kalimantan.

BIOPROSPECTING FOR CYCLODEXTRIN GLYCOSYLTRANSFERASE PRODUCING BACTERIA

INDIAN DRUGS ◽  
2014 ◽  
Vol 51 (06) ◽  
pp. 44-48
Author(s):  
Y. Rajesh ◽  
◽  
K Narayanan ◽  
V. M. Subrahmanyam ◽  
J. Venkata Rao
Keyword(s):  
Thin Layer ◽  
Thin Layer Chromatography ◽  
Drug Carrier ◽  
Enzymatic Conversion ◽  
Cyclodextrin Glycosyltransferase ◽  
Bcs Class Ii ◽  
Rf Values ◽  
Micro Organisms ◽  
Layer Chromatography ◽  
Different Sources

Cyclodextrin glycosyltransferase- (CGTase), (EC.2.4.1.19) producing micro-organisms were isolated from different sources of soil (paddy plantation, potato plantation, garden and Malpe beach) from places in and around Udupi, India. A potential isolate MBS 24 was identified as Virgibacillus pantothenticus. This organism was cultivated on modified Horikoshi medium at 130 rpm for 24 h at 32 °C. The maximum production of CGTase enzyme was observed (0.308μmol/ml β-CD units) after 36 h of incubation at 32°C and pH 10.0. CGTase was precipitated using ammonium sulphate at 60% saturation. Cyclodextrin (CD) produced by incubation of CGTase with starch was extracted using toluene and analyzed by thin layer chromatography. Rf values of the solvent extracted CD were similar to the standard α, β and γ CD confirming that all three types of CD’s were formed during enzymatic conversion. These CDs could be used as drug carrier for delivering BCS class II drugs.

Additional Cleanup of Samples on GLC Column for TLC Determination of Pesticide Residues

1967 ◽  
Vol 50 (3) ◽  
pp. 615-623
Author(s):  
Kenneth T Hartman
Keyword(s):  
Liquid Chromatography ◽  
Thin Layer ◽  
Thin Layer Chromatography ◽  
Pesticide Residues ◽  
Gas Liquid Chromatography ◽  
Rf Values ◽  
Layer Chromatography

Abstract Gas-liquid chromatography (GLC) following conventional isolation procedures has been used to clean up pesticide residues for confirmation by thin layer chromatography (TLC). This procedure is more rapid and efficient than present cleanup procedures and permits the determination of pesticide residues that do not survive these rigorous acid or alkali treatments. The method also permits TLC confirmation of pesticide residues that have similar Rf values but different GLC retention times. Recoveries ranged from 85 to 105% for 25 of 28 pesticides tested

DDT-Type Compounds: Separation and Identification by a System Combining Thin Layer Chromatography, Gas Chromatography, and Infrared Spectroscopy

1968 ◽  
Vol 51 (6) ◽  
pp. 1247-1260
Author(s):  
M B Abou-Donia ◽  
D B Menzel
Keyword(s):  
Gas Chromatography ◽  
Infrared Spectroscopy ◽  
Thin Layer ◽  
Thin Layer Chromatography ◽  
Electron Capture ◽  
Structural Changes ◽  
Effective Technique ◽  
Rf Values ◽  
Solvent Systems ◽  
Layer Chromatography

Abstract Infrared spectroscopy, in combination with TLC and GLC, offers an effective technique for isolation, separation, and identification of DDT-type compounds. Rf values for DDT and 13 other compounds, most of which have been reported as DDT breakdown products, have been determined in 27 solvent systems, using TLC techniques. Three columns, in combination with the electron capture detector, have been experimentally studied to analyze the 13 DDT-like compounds. The positions and intensities of the infrared bands of the 14 compounds have been measured in KBr. The variations of these measurements have been discussed in relation to the structural changes of DDT-type compounds.

Analysis of Dairy Products for Chlorinated Insecticide Residues by Thin Layer Chromatography

1966 ◽  
Vol 49 (4) ◽  
pp. 795-800
Author(s):  
William A Moats
Keyword(s):  
Aluminum Oxide ◽  
Thin Layer ◽  
Thin Layer Chromatography ◽  
Silica Gel ◽  
Color Development ◽  
Tlc Plates ◽  
One Step ◽  
Rf Values ◽  
Tlc Analysis ◽  
Layer Chromatography

Abstract Butterfat and milk samples were analyzed for chlorinated insecticides by thin layer chromatography (TLC) on aluminum oxide or silica gel plates containing a small amount of silver nitrate. The adsorbent was washed with distilled water before preparing the plates. A one-step cleanup on a partially inactivated Florisil column was performed prior to TLC analysis. For color development, the TLC plates were sprayed lightly with hydrogen peroxide to suppress possible interference from fat and then steamed before exposure to ultraviolet light to accelerate and intensify the color reaction. Rf values for a number of solvent systems on aluminum oxide and silica gel plates are given. With this procedure, 0.05 μg or less of insecticide can be detected in a 0.4 g butterfat sample or the extract from 10 ml milk.

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