Investigation of antiradical activity of plant material by thin-layer chromatography with image processing

Olech, Marta; Komsta, Łukasz; Nowak, Renata; Cieśla, Łukasz; Waksmundzka‐Hajnos, Monika

doi:10.1016/j.foodchem.2011.10.067

Cited by 108 publications

(66 citation statements)

References 14 publications

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“…We are now able to resolve WS V, WF A, 1,2-DWM, WNN, WN A, and WN B by following the modified method. Earlier workers have used methanol for preparing TLC-DPPH solution [31][32][33][34][35][36][37]. However, in our experience, methanol is not a suitable solvent for TLC-DPPH assay of withanolides because the spots diffuse.…”

Section: Resultsmentioning

confidence: 93%

“…Keeping this in mind, we prepared a withanolide-rich fraction from roots of W. somnifera. With a view to estimate the antioxidant potential and free-radical scavenging activity of individual components contained in a complex mixture, several workers have attempted a quantitative measurement of free-radical scavenging potential of individual components in complex mixture for plant extracts by thin-layer chromatography-2,2-diphenyl-1-picrylhdrazyl (TLC-DPPH) method which has several advantages, i.e., simplicity, flexibility, high throughput, or direct access to the compounds separated [31][32][33][34][35]. However, as far as we are aware, analysis of W. somnifera root fraction by TLC-DPPH method has not been attempted so far.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of antioxidant potential of individual components present in complex mixture ofWithania somnifera(Ashwagandha) root fraction by thin-layer chromatography-2,2-diphenyl-1-picrylhdrazyl method

Devkar

Jagtap

Katyare³

et al. 2014

Journal of Planar Chromatography – Modern TLC

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Section: Resultsmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Estimation of antioxidant potential of individual components present in complex mixture ofWithania somnifera(Ashwagandha) root fraction by thin-layer chromatography-2,2-diphenyl-1-picrylhdrazyl method

Devkar

Jagtap

Katyare³

et al. 2014

Journal of Planar Chromatography – Modern TLC

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show abstract

“…Charge-coupled device camera becomes more widely used because it is much faster and efficient than scanning densitometer [14] . Image analysis using ImageJ software was not required sophisticated instrument and easily applicable [15] . Besides, ImageJ software, other image analysis softwares can also be used in TLC quantitative analysis.…”

Section: Resultsmentioning

confidence: 99%

Pharmacognostic evaluation and chrysazin quantitation of Xyris indica flowering heads

Khuniad¹,

Thitikornpong²,

Palanuvej³

et al. 2014

Phcog J.

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Objectives: The present study aimed to establish quality specification of Xyris indica L. flowering heads. The pharmacognostic parameters were investigated. Chrysazin contents were analyzed by TLC image analysis using ImageJ software compared to TLC-densitometry. Methods: X. indica flowering heads from 15 different sources in Thailand were collected. Morphological and physicochemical parameters were characterized. Chrysazin was successively extracted and determined by TLC image analysis using ImageJ software and TLC-densitometry. Results: Macroscopic study was illustrated as whole plant drawing. The microscopic study showed fragment of corolla, seeds, pollen grain and staminode. The pharmacognostic parameters revealed that the loss on drying, total ash, acid-insoluble ash and water content should be not more than 6.90, 2.50, 0.41, and 11.12 of % dry weight respectively while water and ethanol-soluble extractive values should be not less than 6.59 and 4.03 of % dry weight respectively. TLC fingerprint revealed clearly chrysazin yellow fluorescent band at 365 nm. Chrysazin quantitation by TLC image analysis and TLC densitometry were developed and validated. Chrysazin content was 0.022 ± 0.001 % dry weight by both methods. There was no statistically significantly difference between these methods. Conclusion: This study provided pharmacognostic specification and chrysazin content of X. indica flowering heads that can be used for basic quality control and standardization of plant material. TLC image analysis using ImageJ software showed reliable and convenient for analysis of chrysazin content in this crude drug.

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“…Nowadays, due to the advantages offered by the improvements regarding sample application technique, image acquisition systems, computer controlled scanning instrument and image analysis software, high performance TLC combined with image analysis (HPTLC-IA) is feasible to analyze the compounds with overlapping chromatograms [1], quantify the fluorescent compounds [2], investigate the antiradical activity of plant materials [3], screening the compounds from natural extracts [4,5] and fingerprinting analysis of various plants material [6,7]. Among the numerous application of HPTLC, the fingerprint analysis is of special interest.…”

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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Investigation of antiradical activity of plant material by thin-layer chromatography with image processing

Cited by 108 publications

References 14 publications

Estimation of antioxidant potential of individual components present in complex mixture ofWithania somnifera(Ashwagandha) root fraction by thin-layer chromatography-2,2-diphenyl-1-picrylhdrazyl method

Estimation of antioxidant potential of individual components present in complex mixture ofWithania somnifera(Ashwagandha) root fraction by thin-layer chromatography-2,2-diphenyl-1-picrylhdrazyl method

Pharmacognostic evaluation and chrysazin quantitation of Xyris indica flowering heads

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

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