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. 2014 May 21;19(5):6504-23.
doi: 10.3390/molecules19056504.

Evaluation of antioxidant activity, polyphenolic compounds, amino acids and mineral elements of representative genotypes of Lonicera edulis

Jiri Sochor  1 , Tunde Jurikova  2 , Miroslav Pohanka  3 , Helena Skutkova  4 , Mojmir Baron  1 , Lenka Tomaskova  5 , Stefan Balla  6 , Borivoj Klejdus  7 , Robert Pokluda  8 , Jiri Mlcek  9 , Zuzana Trojakova  10 , Jan Saloun  11
Affiliations

Evaluation of antioxidant activity, polyphenolic compounds, amino acids and mineral elements of representative genotypes of Lonicera edulis

Jiri Sochor et al. Molecules. .

Abstract

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.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The content of mineral elements expressed by box plot graphs. Na–sodium, Mg–magnesium, Ca–calcium, P–phosphorus, N–nitrogen, K–potassium.
Figure 2
Figure 2
The cluster analysis of mineral elements represented by four principal clusters.
Figure 3
Figure 3
Box plot graphs demonstrating the rate of dispersions of individual methods for original measured data. Re–resveratrol, Qi–quercitrin, Qe–quercetin, GA–gallic acid, Ca–catalposide, Ru–rutin, ChA–chlorogenic acid.
Figure 4
Figure 4
The cluster analysis of polyphenolic compounds represented by five principal clusters.
Figure 5
Figure 5
Box plot graphs of antioxidant activity. The results are given in equivalents of gallic acid.
Figure 6
Figure 6
The cluster analysis of antioxidant activity represented by three principal clusters.
Figure 7
Figure 7
Box plot graphs in the distribution of determined amino acids. (Gly–Glycine, Ala–Alanine, Phe–Phenylalanine, Thr–Theorine, His–Histidine, Tyr–Tyrosine, Leu–Leucine, Ile–Illeucine, Glu–Glutamic acid, Pro–Proline, Val–Valine, Ser–Serine, Asp–Aspartic acid). The results are depicted in mg/kg.
Figure 8
Figure 8
The cluster analysis of mineral compounds represented by three principal clusters.
See this image and copyright information in PMC

References

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