Thin-layer chromatography-an image-processing method for the determination of acidic catecholamine metabolites

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

doi:10.1002/jssc.201400550

Cited by 10 publications

(5 citation statements)

References 33 publications

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“…Thin-layer chromatography (TLC) is an extensively utilized technique for assessing the identity, content, and purity of herbal drugs. Chromatographic fingerprinting analysis along with analytical method development for phytoconstituents are requisite approaches for the quality control of herbal drugs [ 30 , 31 ]. Several studies have reported the developed high-performance thin-layer chromatography (HPTLC) method for baicalin from Scutellaria radix [ 32 ] and Scutellaria lateriflora [ 33 ].…”

Section: Introductionmentioning

confidence: 99%

A developed high-performance thin-layer chromatography method for the determination of baicalin in Oroxylum indicum L. and its antioxidant activity

Adin

Gupta

Ahad

et al. 2022

JPC-J Planar Chromat

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A simple, accurate, precise, and specific high-performance thin-layer chromatography (HPTLC) method for the quantitative determination and validation of baicalin in different extracts of Oroxylum indicum has been developed for the first time. The mobile phase of acetone‒ethyl acetate‒water‒formic acid (2:10:0.5:0.5, V/V ) was used for achieving good separation. Densitometric determination was carried out at 318 nm. The calibration curves were found to be linear in the range between 200 and 1000 ng per spot. During the analysis, the ethanolic extract of O. indicum showed higher content of baicalin than acetone, DMSO, and DMF extracts. Further, the antioxidant potential of different extracts of O. indicum were assessed with the 2,2-diphenyl-1-picrylhydrazyl (DPPH) method. The developed method of HPTLC was validated for specificity, accuracy, precision and linearity. The ethanolic extract has unveiled significant antioxidant activity with a percentage inhibition of 67.34%. Graphic Abstract

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Section: Introductionmentioning

confidence: 99%

A developed high-performance thin-layer chromatography method for the determination of baicalin in Oroxylum indicum L. and its antioxidant activity

Adin

Gupta

Ahad

et al. 2022

JPC-J Planar Chromat

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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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“…Usually, a well‐known biologically active standard or reference compound is used to estimate the relative activity of individual compounds or extracts. This method has been applied in many studies of pharmaceutical and phytochemical analysis fields as evaluation of free radical scavenging activity of plant extracts, 22 catecholamine metabolites, 23 sibutramine in herbal formulations 24 and alpha amylase inhibitory activity 25 …”

Section: Introductionmentioning

confidence: 99%

Development of a validated HPTLC‐bioautographic method for evaluation of aromatase inhibitory activity of plant extracts and their constituents

Dawood

Shawky

Hammoda

et al. 2021

Phytochemical Analysis

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Introduction Aromatase is a CYP450 enzyme that catalyses the conversion of androgens into oestrogens, where the decrease in the production of oestrogens aided by aromatase inhibitors is considered a target in post‐menopausal breast cancer therapy. TLC‐bioautography is a technique employed for combining chromatographic separations on TLC plates with bioassays. This is the first report to evaluate aromatase inhibitory activity using this technique. Objectives The aim of this study is to develop and validate a new TLC‐bioautographic method for determination of aromatase inhibitory activity in 14 plant extracts. Two quantitation methods, the peak area method and reciprocal iso‐inhibition volume (RIV) method, were compared and investigated to attain reliable results. Factors affecting the enzymatic reaction (temperature, pH, enzyme and substrate concentrations … etc.) were also investigated to attain the optimum parameters. Methodology TLC assisted by digital image processing was implemented for quantitative estimation of the aromatase inhibition of 14 plant extracts using chrysin as positive control. The fluorometric substrate dibenzyl fluorescein (DBF) was utilised for the assay, where inhibitory compounds were visualised as dark spots against a blue fluorescent background. Two software programs, Sorbfil® videodensitometer (in the peak area method) and ImageJ® (in the RIV method), were thoroughly validated using the International Council on Harmonisation (ICH) guideline and used for quantitation. Results The RIV method showed superiority over the peak area method in the quantitation results of the tracks with non‐homogenous background with %RSD values of 0.98 and 1.49 compared with 2.86 and 3.58, respectively. Further, the methods allow the comparison of the activity of different unknown inhibitory compounds without the need for a reference or a positive control. Conclusion Using the TLC‐bioautographic method by image processing combined with the RIV quantitation method, simultaneous separation and quantitation of aromatase inhibitory components could be applied to estimate the relative activity of various plant extracts.

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Thin-layer chromatography-an image-processing method for the determination of acidic catecholamine metabolites

Cited by 10 publications

References 33 publications

A developed high-performance thin-layer chromatography method for the determination of baicalin in Oroxylum indicum L. and its antioxidant activity

A developed high-performance thin-layer chromatography method for the determination of baicalin in Oroxylum indicum L. and its antioxidant activity

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

Development of a validated HPTLC‐bioautographic method for evaluation of aromatase inhibitory activity of plant extracts and their constituents

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