The aim of this study was to evaluate the bioactive substances in 19 berry cultivars of edible honeysuckle (Lonicera edulis). A statistical evaluation was used to determine the relationship between the content of selected bioactive substances and individual cultivars. Regarding mineral elements, the content of sodium was measured using potentiometry and spectrophotometry. The content of selected polyphenolic compounds with high antioxidant activity was determined by a HPLC-UV/ED method. The total amount of polyphenols was determined by the Folin-Ciocalteu method. The antioxidant activity was determined using five methods (DPPH, FRAP, ABTS, FR and DMPD) that differ in their principles. The content of 13 amino acids was determined by ion-exchange chromatography. The experimental results obtained for the different cultivars were evaluated and compared by statistical and bioinformatic methods. A unique feature of this study lies in the exhaustive analysis of the chosen parameters (amino acids, mineral elements, polyphenolic compounds and antioxidant activity) during one growing season.

• MeSH
• Amino Acids analysis   MeSH
• Antioxidants chemistry   pharmacology   MeSH
• Chromatography, Ion Exchange MeSH
• Genotype MeSH
• Lonicera chemistry   genetics   MeSH
• Minerals analysis   MeSH
• Fruit chemistry   MeSH
• Polyphenols analysis   chemistry   MeSH
• Cluster Analysis MeSH
• Chromatography, High Pressure Liquid methods   MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• Amino Acids MeSH
• Antioxidants MeSH
• Minerals MeSH
• Polyphenols MeSH

Dry matter, organic acids, ascorbic acid, minerals (nitrogen, phosphorus, potassium, calcium, magnesium, sodium) and polyphenolic profile of a number of non-traditional fruit species and their genotypes, namely blue honeysuckle (Lonicera spp.), Saskatoon berry (Amelanchier alnifolia), black mulberry (Morus nigra), Tomentosa cherry (Prunus tomentosa Thunb.) and jostaberry (Ribes nigrum x Grossularia uva-crispa) were investigated. The results showed that Lonicera genotypes displayed high levels of ascorbic acid and they were rich in minerals, with the cultivar ‘Amfora’ achieving the leading position in nitrogen, phosphorus and potassium content among all lesser known fruit species. Amelanchier cultivars represented a valuable source of ascorbic acid and calcium, ‘Tišňovský’ and ‘Smoky’ together with Morus nigra ‘Jugoslavska’ accumulated the highest level of examined polyphenolic compounds. Regular consumption of studied less common fruit species can bring health benefits so they can represent a high potential value for fruit growers and in addition they can be utilised as functional foods.

• MeSH
• Genotype MeSH
• Carboxylic Acids analysis   isolation & purification   MeSH
• Acids, Noncarboxylic analysis   isolation & purification   MeSH
• Lonicera chemistry   MeSH
• Minerals analysis   isolation & purification   MeSH
• Morus chemistry   MeSH
• Nutritive Value * MeSH
• Fruit chemistry   MeSH
• Polyphenols analysis   isolation & purification   MeSH
• Ribes chemistry   MeSH
• Rosaceae chemistry   MeSH
• Plant Extracts analysis   isolation & purification   MeSH
• Prunus chemistry   MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Comparative Study MeSH
• Geographicals
• Czech Republic MeSH
• Names of Substances
• Carboxylic Acids MeSH
• Acids, Noncarboxylic MeSH
• Minerals MeSH
• Polyphenols MeSH
• Plant Extracts MeSH

Experimental studies have shown that phenolic compounds have antiproliferative and tumour arresting effects. The aim of this original study was to investigate the content of phenolic compounds (PhC) in flowers of Allium schoenoprasum (chive), Tragopogon pratensis (meadow salsify) and Rumex acetosa (common sorrel) and their effect on proliferation of HaCaT cells. Antiproliferative effects were evaluated in vitro using the following concentrations of phenolic compounds in cultivation medium: 100, 75, 50 and 25 µg/mL. Phenolic composition was also determined by HPLC. The results indicate that even low concentrations of these flowers' phenolic compounds inhibited cell proliferation significantly and the possible use of the studied herb's flowers as sources of active phenolic compounds for human nutrition.

• MeSH
• Phenols chemistry   pharmacology   MeSH
• Flowers chemistry   MeSH
• Humans MeSH
• Cell Line, Tumor drug effects   MeSH
• Chive anatomy & histology   chemistry   MeSH
• Antineoplastic Agents chemistry   pharmacology   MeSH
• Plant Extracts chemistry   pharmacology   MeSH
• Rumex anatomy & histology   chemistry   MeSH
• Drug Screening Assays, Antitumor MeSH
• Tragopogon anatomy & histology   chemistry   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• Phenols MeSH
• Antineoplastic Agents MeSH
• Plant Extracts MeSH

Functional foods are of interest because of their significant effects on human health, which can be connected with the presence of some biologically important compounds. In this study, we carried out complex analysis of 239 apricot cultivars (Prunus armeniaca L.) cultivated in Lednice (climatic area T4), South Moravia, Czech Republic. Almost all previously published studies have focused only on analysis of certain parameters. However, we focused on detection both primary and secondary metabolites in a selection of apricot cultivars with respect to their biological activity. The contents of thirteen biogenic alpha-L-amino acids (arginine, asparagine, isoleucine, lysine, serine, threonine, valine, leucine, phenylalanine, tryptophan, tyrosine, proline and alanine) were determined using ion exchange chromatography with UV-Vis spectrometry detection. Profile of polyphenols, measured as content of ten polyphenols with significant antioxidant properties (gallic acid, procatechinic acid, p-aminobenzoic acid, chlorogenic acid, caffeic acid, vanillin, p-coumaric acid, rutin, ferrulic acid and quercetrin), was determined by high performance liquid chromatography with spectrometric/electrochemical detection. Moreover, content of total phenolics was determined spectrophotometrically using the Folin-Ciocalteu method. Antioxidant activity was determined using five independent spectrophotometric methods: DPPH assay, DMPD method, ABTS method, FRAP and Free Radicals methods. Considering the complexity of the obtained data, they were processed and correlated using bioinformatics techniques (cluster analysis, principal component analysis). The studied apricot cultivars were clustered according to their common biochemical properties, which has not been done before. The observed similarities and differences were discussed.

• MeSH
• Algorithms MeSH
• Amino Acids chemistry   MeSH
• Principal Component Analysis * MeSH
• Antioxidants chemistry   MeSH
• Benzothiazoles chemistry   MeSH
• Biphenyl Compounds chemistry   MeSH
• Gene Pool MeSH
• Sulfonic Acids chemistry   MeSH
• Fruit chemistry   MeSH
• Picrates chemistry   MeSH
• Polyphenols chemistry   MeSH
• Plant Extracts chemistry   MeSH
• Cluster Analysis MeSH
• Prunus chemistry   MeSH
• Free Radicals chemistry   MeSH
• Computational Biology MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• 1,1-diphenyl-2-picrylhydrazyl MeSH Browser
• 2,2'-azino-di-(3-ethylbenzothiazoline)-6-sulfonic acid MeSH Browser
• Amino Acids MeSH
• Antioxidants MeSH
• Benzothiazoles MeSH
• Biphenyl Compounds MeSH
• Sulfonic Acids MeSH
• Picrates MeSH
• Polyphenols MeSH
• Plant Extracts MeSH
• Free Radicals MeSH