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Open Medicine
|
2012
|
vol. 7
|
issue 4
457-464
EN
The content of 8 heavy metals (Cd, Cr, Cu, Fe, Mn, Ni, Pb and Zn) was evaluated in infusions prepared from 13 different herbal compositions commercially available in drug or herbal stores. The mixtures were produced by a Polish manufacturer “Herbapol”. The concentration of heavy metals was determined using flame atomic absorption spectrometry (FAAS). In the herbal infusions Mn was found in the highest concentration varying from 3.03 to 129.01 mg/kg. The element of the lowest content was Cd in the range of 0.024–0.153 mg/kg. According to interquartile ranges the concentrations of studied heavy metals in infusions decreased in the following descending order: Mn>Fe>Zn>Cu>Ni>Cr>Pb>Cd. Cluster analysis allowed for the division of herbal infusions into groups described by comparable levels of heavy metals. In water extracts made from Urosan, Nervosan, Infektoten and Cholagoga, distinctive levels of Mn, Fe and Cr were determined. According to WHO regulations, the concentrations of the elements did not exceed the allowable limits.
EN
The purpose of this study was to show relationships among the levels of essential metals (zinc, iron, sodium, magnesium, calcium and potassium) and phenolic acids (caffeic, chlorogenic, ferulic, gallic, rosmarinic and syringic) in commercial herbs (lemon balm, thyme, rosemary, mint, sage and angelica) and spices (caraway, lovage, hyssop and oregano). In the herbs higher quantities of metals and phenolic compounds were found than in spices. All plants contained high levels of calcium, potassium and rosmarinic acid, but low levels of zinc and gallic acid. By using principal component and hierarchical cluster analyses several clusters were identified grouping samples originating from a plant of a particular botanical species. Multivariate analysis has also shown that the contents of phenolic acids had a stronger impact on the scattering of herbs and spices than the metals levels. Furthermore, statistically significant correlations were found between calcium and ferulic, gallic, rosmarinic and syringic acids as well as between zinc and sodium and caffeic acid. This suggests co-operate between these biologically active constituents in metabolic processes occurring in plants.
EN
Three-layer artificial neural networks (ANN) capable of recognizing the type of raw material (herbs, leaves, flowers, fruits, roots or barks) using the non-metals (N, P, S, Cl, I, B) contents as inputs were designed. Two different types of feed-forward ANNs - multilayer perceptron (MLP) and radial basis function (RBF), best suited for solving classification problems, were used. Phosphorus, nitrogen, sulfur and boron were significant in recognition; chlorine and iodine did not contribute much to differentiation. A high recognition rate was observed for barks, fruits and herbs, while discrimination of herbs from leaves was less effective. MLP was more effective than RBF.
EN
The paper presents an example of using multivariate techniques to interpret a large data set obtained during a 4-year water quality monitoring program in the Gdansk Municipality region, on the southern coast of the Baltic Sea. From 2004 to 2007, 11 physicochemical water parameters were analyzed monthly at 15 sites within eight watercourses. Principal-components analysis and cluster analysis were used to explore the data. Spatio-temporal trends in water quality were evaluated, the variables that determined the data set’s structure and the factors that affected the water’s physicochemical composition identified, with the goal of helping to optimize future monitoring. To reduce the number of analyzed variables, relationships between the analyzed parameters were also identified. The results revealed that the differences in physicochemical water properties among stations were generally smaller than those between the warmer and cooler seasons. It was determined that seasonal intrusions of brackish water from the Gulf of Gdansk can modify the water properties of some watercourses in the study area, but that dissolved oxygen, chemical oxygen demand, and total phosphorus were the main parameters responsible for the overall variation in the observed data. These parameters are related to pollution of anthropogenic origin.
EN
The objective of this study was to learn whether or not the pattern recognition methods, such as agglomerative cluster analysis (CA) and principal component analysis (PCA), can be used as supplementary techniques for identification of salicylamide (SAA) inclusion complexes with β-cyclodextrin (β-CD) and 2-hydroxypropyl-β-cyclodextrin (HP-β-CD). To do this, phase-solubility of SAA in the presence of the cyclodextrins was studied by the Higuchi-Connors method, which showed that the cyclodextrins enhanced the solubility of SAA in water as compared to that of the drug. Next, the solid phase complexes of the drug with β-CD and HP-β-CD were prepared by using the coprecipitation, precipitation-evaporation, and kneading methods. Identification of the inclusion complexes was performed by using thermal analysis, infrared spectroscopy, and wide angle X-ray scattering. Two multivariate statistical methods, CA and PCA, were used as the supplementary techniques for identification of the inclusion complexes. The results of the statistical analysis have shown that CA and PCA are helpful for interpretation of the thermoanalytical and spectral data. Moreover, these methods enabled proper classification of the products in all doubtful cases. They can be used as supplementary techniques to verify the conclusions of the above-mentioned standard methods. [...]
EN
The aim of the studies was to establish relationships between flavonoids and elements important for human health. Therefore, total contents of flavonoids and phosphorus were determined by UV/Vis methods, flavonoids by HPLC, and Ca, Mg, Fe, Mn, Zn and Cu by FAAS in 68 infusions of medicinal herbs. Total flavonoids content in the aqueous extracts were in the range of 0.26 - 16.40 mg per 100 mL. The mean flavonoid contents (in mg per 100 mL of aqueous extract) were 2.24, 2.01, 1.83, 1.88 for rutin, myricetin, quercetin and kaempferol, respectively. The concentrations of Ca, Mg, P were determined in mg per 100 mL, and of Fe, Mn, Zn and Cu in μg per 100 mL. Total content of flavonoids was weakly correlated with quercetin (r = 0.41), kaempferol (r = 0.53), Cu (r = 0.43), and Ca (r = -0.30). Statistically significant correlations were also found among Cu, Ca, Mn, Zn and Fe. Cluster analysis grouped the studied herbs based on total flavonoids, also four flavonoids and essential elements contents, extracted from the whole population of herbs Sambuci flos, Betulae folium, and Sylibi mariani semen. Principal component analysis confirmed these findings and enabled identification of quercetin, kaempferol, Cu and Fe as the factors responsible for differentiation of the studied material.
EN
The concentrations of seven macro- and microelements (K, Mg, Ca, Na, Fe, Zn, Mn) in 59 herbs (herbs, leaves, flowers, fruits, roots), which are commercially available and frequently used in Poland for medical purposes as well as in their water extracts (infusions and decoctions), were determined after microwave mineralization. The data obtained show that all herbal raw materials analysed contain macroelements in the range of mg g−1 on d.w. whereas microelements in the range of mg kg−1 on d.w. and that elemental concentrations varied widely. On the basis of a comparison of concentrations of elements in herbal raw materials examined and water extracts prepared from them, the extraction efficiency was expressed as a percent of the total content of each element present in the infusion or decoction. The percentages of macro- and micro- elements leaching from different morphological parts of plants into water extracts varied across a wide range of values, from 1% in the case of Na to 56% in the case of K. Real daily intake of the macro- and microelements elements through one cup of infusions or decoctions were shown that water extracts from herbal raw materials are not an important source of bioelements in human diet. [...]
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