High sensitive and selective HPTLC method assisted by digital image processing for simultaneous determination of catecholamines and related drugs

Sima, Ioana Anamaria; Casoni, Dorina; Sârbu, Costel

doi:10.1016/j.talanta.2013.03.058

Cited by 32 publications

(4 citation statements)

References 35 publications

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“…Among the chromatographic methods, HPTLC has been considerably improved in recent years being appreciated in food, biological and pharmaceutical areas [ 20 , 21 , 22 , 23 , 24 , 25 ]. By the application of powerful scanning instruments, advanced image capturing devices, advanced image processing algorithms and image analysis (IA) protocols, development of novel stationary phases, as well as various separation procedures, HPTLC fingerprinting approaches becoming attractive and fruitful for screening of the complex natural samples [ 24 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ]. In addition to the advantage of multiple parallel sample analysis on the same chromatographic plate and possibility of development in more than one steps using different chromatographic conditions and/or in two directions, HPTLC is the only chromatographic method that offers the possibility to present results as different colorful images by multiple levels of visualization under visible and UV light conditions under 366 nm and/or 254 nm.…”

Section: Introductionmentioning

confidence: 99%

Application of HPTLC Multiwavelength Imaging and Color Scale Fingerprinting Approach Combined with Multivariate Chemometric Methods for Medicinal Plant Clustering According to Their Species

2021

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In the current study, multiwavelength detection combined with color scales HPTLC fingerprinting procedure and chemometric approach were applied for direct clustering of a set of medicinal plants with different geographical growing areas. The fingerprints profiles of the hydroalcoholic extracts obtained after single and double development and detection under 254 nm and 365 nm, before and after selective spraying with specific derivatization reagents were evaluated by chemometric approaches. Principal component analysis (PCA) with factor analysis (FA) methods were used to reveal the contribution of red (R), green (G), blue (B) and, respectively, gray (K) color scale fingerprints to HPTLC classification of the analyzed samples. Hierarchical cluster analysis (HCA) was used to classify the medicinal plants based on measure of similarity of color scale fingerprint patterns. The 1-Pearson distance measurement with Ward’s amalgamation procedure proved to be the most convenient approach for the correct clustering of samples. Data from color scale fingerprints obtained for double development procedure and multiple visualization modes combined with appropriate chemometric methods proved to detect the similar medicinal plant extracts even though they are from different geographical regions, have different storage conditions and no specific markers are individually extracted. This approach could be proposed as a promising tool for authentication and identification studies of plant materials based on HPTLC fingerprinting analysis.

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Section: Introductionmentioning

confidence: 99%

Application of HPTLC Multiwavelength Imaging and Color Scale Fingerprinting Approach Combined with Multivariate Chemometric Methods for Medicinal Plant Clustering According to Their Species

2021

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“…3 Different methods have been employed for the analysis of methyldopa in pharmaceutical formulations including electrochemical methods, [4][5][6][7] spectrophotometry, 1,[8][9][10] kinetic methods, 11 chemiluminescence, 12 capillary electrophoresis (CE) 13 and thin layer chromatography. 14 The main methods of the determination of pioglitazone in pharmaceutical preparations are chromatography, 2,[15][16][17] spectrophotometry, 18,19 electrochemical, 20,21 and thermal methods. 22 There is only one report on the spectrofluorimetric determination of pioglitazone in pharmaceutical preparations.…”

Section: Introductionmentioning

confidence: 99%

A Very Simple and Sensitive Spectrofluorimetric Method Based on the Oxidation with Cerium (IV) for the Determination of Four Different Drugs in Their Pharmaceutical Formulations

Bavili-Tabrizi¹,

Bahrami²,

Badrouj³

2017

Pharm Sci

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“…In this area, chemometric techniques for HPTLC data evaluation were recently employed [8,9]. Chromatographic data can be obtained from the chromatograms by the means of classical densitometry, or by processing the image obtained with flatbed scanner or different digital cameras [10][11][12]. Several software packages such as ImageJ, Just TLC, Sorbfil TLC Videodensitometer and others can be used for image processing [13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Image Analysis Approaches to Improve the Thin Layer Chromatography – Chemometric-Based Investigations of Natural Extracts

Simion¹,

Cobzac²

2017

Studia UBB Chemia

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The combination of high-performance thin-layer chromatography (HPTLC) with image analysis (IA) and chemometrics becomes an attractive tool for natural extracts investigations. The large variability of these samples requires powerful image acquisition devices, multivariate image processing techniques and advanced chemometric methods to facilitate the interpretation of the chromatographic data. In the current study, two image acquisition devices and different image processing procedures were investigated using the HPTLC chromatograms of hydroalcoholic extracts of Gallium verum. Different sets of chromatographic data were generated for both UV chromatograms (obtained at 254 nm and at 366 nm) using images acquired with a digital camera and an UV-Vis TLC scanner. In all cases the Principal Component Analysis (PCA) technique was used in order to extract the information from chromatographic profiles. Variables of gray and pure colour red, green and blue intensities of pixels from start to front were used as input data in all cases. The results obtained by PCA investigations of HPTLC data from UV chromatograms at 254 nm and 366 nm respectively, provided complementary information related to the characteristics of the investigated extracts. Moreover, important steps as appropriate color scale selection and image processing/analysis procedures were pointed out based on the obtained results.

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High sensitive and selective HPTLC method assisted by digital image processing for simultaneous determination of catecholamines and related drugs

Cited by 32 publications

References 35 publications

Application of HPTLC Multiwavelength Imaging and Color Scale Fingerprinting Approach Combined with Multivariate Chemometric Methods for Medicinal Plant Clustering According to Their Species

Application of HPTLC Multiwavelength Imaging and Color Scale Fingerprinting Approach Combined with Multivariate Chemometric Methods for Medicinal Plant Clustering According to Their Species

A Very Simple and Sensitive Spectrofluorimetric Method Based on the Oxidation with Cerium (IV) for the Determination of Four Different Drugs in Their Pharmaceutical Formulations

Image Analysis Approaches to Improve the Thin Layer Chromatography – Chemometric-Based Investigations of Natural Extracts

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