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Authentication of Turkish propolis through HPTLC fingerprints combined with multivariate analysis and palynological data and their comparative antioxidant activity

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2018 Serbia Elsevier BVLWT, volume 87, pages 23-32 (issn: 0023-6438,

Authors: Etil Guzelmeric; Petar Ristivojević; Jelena Trifković; Tugce Dastan; Ozlem Yilmaz; Ozlem Cengiz; Erdem Yesilada;

doi: 10.1016/j.lwt.2017.08.060

Authentication of Turkish propolis through HPTLC fingerprints combined with multivariate analysis and palynological data and their comparative antioxidant activity

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Abstract

Propolis is a honeycomb product having very diverse chemical composition and possessing a broad spectrum of biological activities. This study comprehensively evaluated the phenolic profile of Turkish propolis by using a high performance thin-layer chromatographic (HPTLC) method in combination with image analysis and pattern recognition technique. Also, botanical origin of each propolis sample was determined by comparison of HPTLC fingerprints of propolis samples with that of plant bud extracts and also by palynological analysis. Moreover, HPTLC coupled with 2,2-dipheny1-1-picrylhydrazyl (DPPH) detection technique was used for screening of antioxidant activity of each separated compounds directly on the plate. Results of the present study have demonstrated that Turkish propolis could be classified under three main types; i.e. orange (O) (originated from Populus nigra L), blue (B) (originated from Populus tremula L) and nonphenolic types. Palynological analysis have shown that dominant pollen grains ( gt %45) in propolis samples were: Fabaceae, Lamiaceae, Rosaceae, Castanea sativa Mill., Lotus corniculatus L., Salix spp. In addition, HPTLC-DPPH results showed that O-type of propolis exerted higher antioxidant activity than the other propolis types. Moreover, quercetin, caffeic acid, caffeic acid phenyl ester, pinobanksin and galangin had significant contribution to the antioxidant activity of propolis. (C) 2017 Elsevier Ltd. All rights reserved. This is peer-reviewed version of the following article: Guzelmeric, E.; Ristivojević, P.; Trifković, J.; Dastan, T.; Yilmaz, O.; Cengiz, O.; Yesilada, E. Authentication of Turkish Propolis through HPTLC Fingerprints Combined with Multivariate Analysis and Palynological Data and Their Comparative Antioxidant Activity. LWT - Food Science and Technology 2018, 87, 23–32. [https://doi.org/10.1016/j.lwt.2017.08.060] Supplementary material: [http://cherry.chem.bg.ac.rs/handle/123456789/2990]

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Serbia

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Subjects by Vocabulary

Microsoft Academic Graph classification: Chromatography Traditional medicine Pinobanksin Orange (colour) Biology Propolis biology.organism_classification Galangin chemistry.chemical_compound chemistry Caffeic acid Lotus corniculatus Lamiaceae Quercetin

Medical Subject Headings: food and beverages

Keywords

Propolis, Palynological analysis, High performance thin-layer, Antioxidant activity, chromatography (HPTLC), Chemometrics, Food Science

36 references, page 1 of 4

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Barth, O.M., & Fernandes Pinto da Luz, C. (2009). Palynological analysis of Brazilian red propolis samples. Journal of Apicultural Research, 48, 181-188.

Başer, K.H.C. (2002). Aromatic biodiversity among the flowering plant taxa of Turkey. Pure and Applied Chemistry, 74, 527-545.

Berthrams, J., Müller, M.B., Kunz, N., Kammerer, D.R., & Stintzing, F.C. (2013). Phenolic compounds as marker compounds for botanical origin determination of GTerman P propolis samples based on TLC and TLC-MS. Journal of Applied BotanIyand Food Quality,86, 143-153. R

Bertelli, D., Papotti, G., Bortolotti, L., Marcazzan, G.L., & Plessi, MC.(2012). 1H-NMR Simultaneous identification of health-relevant compoundSsin propolis extracts. Phytochemical Analysis, 23, 260-266. U N

Boisard, S., Le Ray, A-M., Landreau, A., Kempf, M., Cassisa, V., Flurin, C., & Richomme, P. A (2015). Antifungal and Antibacterial Metabolites from a French Poplar Type Propolis. M Evidence-Based Complementary and Alternative Medicine, Article ID 319240, 10 pages, http://dx.doi.org/10.1155/2015/3D19240

Candolfi, A., Maesschalck, R. De, Jouan-REimbaud, D., Hailey, P.A., & Massart, D.L. (1999). T The influence of data pre-processing in the pattern recognition of excipients nearP infrared spectra. Journal of Pharmaceutical and Biomedical Analysis, 21, 115-132. E [OpenAIRE]

Cao, Y.H., Wang, Y., & Yuan, Q. (2004). Analysis of flavonoids and phenolic acid in C propolis by capillary electrophoresis. Chromatographia, 59, 135-140. C A

Castaldo, S., & Capasso, F. (2002). Propolis, an old remedy used in modern medicine. Fitoterapia, 73, 1-6.

Cieśla, Ł., Kryszeń, J., Stochmal, A., Oleszek, W., & Waksmundzka-Hajnos, M. (2012). 23 ACCEPTED MANUSCRIPT Approach to develop a standardized TLC-DPPH˙ test for assessing free radical scavenging properties of selected phenolic compounds. Journal of Pharmaceutical and Biomedical Analysis, 70, 126-135. [OpenAIRE]

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Supplementary data for the article: Guzelmeric, E.; Ristivojević, P.; Trifković, J.; Dastan, T.; Yilmaz, O.; Cengiz, O.; Yesilada, E. Authentication of Turkish Propolis through HPTLC Fingerprints Combined with Multivariate Analysis and Palynological Data and Their Comparative Antioxidant Activity. LWT - Food Science and Technology 2018, 87, 23–32. https://doi.org/10.1016/j.lwt.2017.08.060
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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	46
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%