Ecosystem discrimination and fingerprinting of Romanian propolis by hierarchical fuzzy clustering and image analysis of TLC patterns

Sârbu, Costel; Moţ, Augustin C.

doi:10.1016/j.talanta.2011.05.030

Cited by 50 publications

(34 citation statements)

References 38 publications

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“…Sârbu et al . . also classified propolis samples from Romania on two types according to their geographical origin and local flora; samples from area with meadows contain orange bands, together with blue and green ones, while in samples originated from forest region orange zones were not present.…”

Section: Resultsmentioning

confidence: 99%

Pattern recognition methods and multivariate image analysis in HPTLC fingerprinting of propolis extracts

Ristivojević¹,

Andrić

Trifković

et al. 2014

Journal of Chemometrics

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High‐performance thin‐layer chromatography (HPTLC) combined with image analysis and pattern recognition methods were used for fingerprinting and classification of 52 propolis samples collected from Serbia and one sample from Croatia. Modern thin‐layer chromatography equipment in combination with software for image processing and warping was applied for fingerprinting and data acquisition. The three mostly used chemometric techniques for classification, principal component analysis, cluster analysis and partial least square‐discriminant analysis, in combination with simple and fast HPTLC method for fingerprint analysis of propolis, were performed in order to favor and encourage their use in planar chromatography. HPTLC fingerprint analysis of propolis was for the first time performed on amino silica plates. All studied propolis samples have been classified in two major types, orange and blue, supporting the idea of existence of two types of European propolis. Signals at specific RF values responsible for classification of studied extracts have also been isolated and underlying compounds targeted for further investigation. Copyright © 2014 John Wiley & Sons, Ltd.

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Section: Resultsmentioning

confidence: 99%

Pattern recognition methods and multivariate image analysis in HPTLC fingerprinting of propolis extracts

Ristivojević¹,

Andrić

Trifković

et al. 2014

Journal of Chemometrics

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“…Solid-liquid extraction with different ethanol concentrations was performed in reflux condenser for one hour at 65°C or at room temperature for different periods of time (4–6 days) [49, 76] and compared with water extracts of propolis with respect to biologically active compounds extracted [77]. Detailed reports and Ph.D. degree theses on chemical composition [46, 78–86] and plant origin from bud exudates of Populus spp. and other species [47–49, 84, 87] were made and the common conclusion was that Romanian propolis possessed high amounts of biologically active compounds from the classes of phenolic acids and different classes of flavonoids (flavones/flavonols, flavanones/dihydroflavonols, or other phenols) [16, 46, 49, 85] and can be subjected to other “validated” methods for European poplar type propolis [88].…”

Section: Chemical Compositionmentioning

confidence: 99%

“…Another simple method in discrimination and authentication of propolis samples is based on fuzzy clustering of thin layer chromatographic data via image analysis [86]. Known concentrations of propolis ethanolic extracts were applied on HP-TLC silica gel 60 precoated plates and eluted with toluene-ethyl acetate-formic acid (30 : 12 : 5) and developed with 0.2% diphenylboryloxyethylamine and 4% polyethyleneglycol.…”

Section: Chemical Compositionmentioning

confidence: 99%

Important Developments in Romanian Propolis Research

Mărghitaș

Dezmirean

Bobiş

2013

Evidence-Based Complementary and Alternative Medicine

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The most important developments in propolis analysis and pharmacological properties are discussed. In order to help in the Romanian propolis standardization, different methodologies for chemical composition analysis (UV-VIS, HP-TLC, and HPLC-DAD) are reviewed using new approaches and software (fuzzy divisive hierarchical clustering approach and ChromQuest software) and compared with international studies made until now in propolis research. Practical applications of Romanian propolis in medicinal therapy and cosmetics are reviewed, and quality criteria for further standardization are proposed.

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“…The obtained scores and loading plots are very useful as a display tool for examining the relationships between the original parameters, looking for trends, and sorting out outliers [15,[19][20][21][22]. The loading plots for the determined antiplatelet, antioxidant parameters and pHs are presented in Figure 3 and the correlation coefficients are given in Table 2.…”

Section: Correlations Between the Antiplatelet Effect Antioxidant Camentioning

confidence: 99%

Testing antiplatelet and antioxidant activity of the extract of seven varieties of Allium cepa L.

Saplonţai-Pop

Moţ

Moldovan³

et al. 2015

Open Life Sciences

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Open Life Sci. 2015; 10: 89-98 of thiosulfinate compounds and the most powerful antiplatelet effect, but a very small amount of flavonoids and an antioxidant effect almost nonexistent, in contrast with red variety of A. cepa which is the opposite. Conclusions/Significance: The white variety of A. cepa had very high anitiplatelet activity suggesting the potential use of A. cepa extract in treating cardiovascular diseases.

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Ecosystem discrimination and fingerprinting of Romanian propolis by hierarchical fuzzy clustering and image analysis of TLC patterns

Cited by 50 publications

References 38 publications

Pattern recognition methods and multivariate image analysis in HPTLC fingerprinting of propolis extracts

Pattern recognition methods and multivariate image analysis in HPTLC fingerprinting of propolis extracts

Important Developments in Romanian Propolis Research

Testing antiplatelet and antioxidant activity of the extract of seven varieties of Allium cepa L.

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