scholarly journals Identification of components in Kazakhstan honeys that correlate with antimicrobial activity against wound and skin infecting microorganisms

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Pauline McLoone ◽  
Aizhan Zhumbayeva ◽  
Sofiya Yunussova ◽  
Yerkhat Kaliyev ◽  
Ludmila Yevstafeva ◽  
...  

Abstract Background Antimicrobial drug resistance is a major public health threat that can render infections including wound and skin infections untreatable. The discovery of new antimicrobials is critical. Approaches to discover novel antimicrobial therapies have included investigating the antimicrobial activity of natural sources such as honey. In this study, the anti-microbial activity and chemical composition of 12 honeys from Kazakhstan and medical grade manuka honey were investigated. Methods Agar well diffusion and broth culture assays were used to determine anti-microbial activity against a range of skin and wound infecting micro-organisms. Folin-Ciocalteu method was used to determine the total phenol content of the honeys and non-targeted liquid chromatography analysis was performed to identify components that correlated with antimicrobial activity. Results In the well diffusion assay, the most susceptible micro-organisms were a clinical isolate of Methicillin resistant Staphylococcus aureus (MRSA) and Enterococcus faecalis (ATCC 19433). Buckwheat & multi-floral honey from Kazakhstan demonstrated the highest antimicrobial activity against these two micro-organisms. Kazakhstan honeys with a buckwheat floral source, and manuka honey had the highest total phenol content. Non-targeted liquid chromatography analysis identified components that correlated with anti-microbial activity as hydroxyphenyl acetic acid, p-coumaric acid, (1H)–quinolinone, and abscisic acid. Conclusions The Kazakhstan honeys selected in this study demonstrated antimicrobial activity against wound and skin infecting micro-organisms. Compounds identified as correlating with antimicrobial activity could be considered as potential bioactive agents for the treatment of wound and skin infections.

2017 ◽  
Vol 9 (1) ◽  
pp. 77-83 ◽  
Author(s):  
Éva LASLO ◽  
Zoltán Attila KÖBÖLKUTI

This study evaluated the antimicrobial activity and the total phenol content of Vaccinium vitis idaea L. berry fruit from five different localities with distinct growth sites in the Eastern Carpathians. The antibacterial effect of lingonberry was studied on nine selected Gram-positive and negative, foodborne, illness causing and spoilage bacteria. The total phenol content was estimated by the Folin-Ciocalteu method. The present results showed stronger antibacterial effect of lingonberry on Gram-negative bacteria, especially on Pseudomonas fluorescens and Pseudomonas aeruginosa. The total phenol content varied between 3.72 and 2.1 mM GAE/ml. As data suggested, Vaccinium vitis-idaea fruits originating from different geographic regions and environment, differ from each other in terms of bioactive compound quantity and activity. In the selection of new perspective cultivars of lingonberry, the geographical origin of fruits must be considered. Two Step Cluster analysis detected relatively well supported relationship between samples provided from similar growth sites. Correlation analysis showed no correlation between altitude, phenol content and antimicrobial activity.


2007 ◽  
Vol 109 (3) ◽  
pp. 193-197 ◽  
Author(s):  
Gabriel Beltrán ◽  
María T. Ruano ◽  
Antonio Jiménez ◽  
Marino Uceda ◽  
María P. Aguilera

2020 ◽  
Vol 27 (1) ◽  
pp. 061-066 ◽  
Author(s):  
Joyce Mamani ◽  
Jorge Chávez ◽  
Eder Apumayta ◽  
Patricia Gil-Kodaka

In Peru, Caulerpa filiformis is a marine algae listed as an invasive species. For years, its distribution has been considered to be in the north coast (Isla Lobos de Afuera and Piura) until a recent report of its distribution in the central coast (Ancash, Lima, and Ica). The present investigation aims to determine the main groups of secondary metabolites, total phenol content, and antioxidant activity of the methanolic extract of C. filiformis from Sechura Bay (Piura) and Paracas Bay (Ica). The main chemical groups were determined through phytochemical screening, the content of phenols by the Folin–Ciocalteu method, and antioxidant activity by the ABTS method (2,2-azinobis-[3-ethylbenzothiazoline-6-sulfonic acid]) and 2,2′-diphenyl-1-picrylhydrazyl (DPPH). The phytochemical screening of the methanolic extract of C. filiformis from Sechura Bay and Paracas Bay revealed the presence of carbohydrates, polyphenols, tannins, flavonoids, lipids, alkaloids, steroids, and triterpenes for both extracts. The total phenol content of the extract of C. filiformis from Sechura Bay (39.31 ± 0.39 mg of AGE/g extract) was significantly higher (p < 0.05) than that from Paracas Bay (18.78 ± 0.31 mg of AGE/g extract). In the ABTS and DPPH assays, the antioxidant capacity of the Sechura C. filiformis extract (IC50 = 3.49 ± 0.01 and 2.18 ± 0.02 mg/mL) was significantly higher (p < 0.05) than that of the Paracas C. filiformis extract (IC50 = 6.41 ± 0.02 and 2.42 ± 0.04 mg /mL). These findings suggest that the methanolic extract of C. filiformis is a source of secondary metabolites with an antioxidant potential.


2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Saliha Sahin ◽  
Esra Isik ◽  
Cevdet Demir

The multivariate calibration methods—principal component regression (PCR) and partial least squares (PLSs)—were employed for the prediction of total phenol contents of four Prunella species. High performance liquid chromatography (HPLC) and spectrophotometric approaches were used to determine the total phenol content of the Prunella samples. Several preprocessing techniques such as smoothing, normalization, and column centering were employed to extract the chemically relevant information from the data after alignment with correlation optimized warping (COW). The importance of the preprocessing was investigated by calculating the root mean square error (RMSE) for the calibration set of the total phenol content of Prunella samples. The models developed based on the preprocessed data were able to predict the total phenol content with a precision comparable to that of the reference of the Folin-Ciocalteu method. PLS model seems preferable, because of its predictive and describing abilities and good interpretability of the contribution of compounds to the total phenol content. Multivariate calibration methods were constructed to model the total phenol content of the Prunella samples from the HPLC profiles and indicate peaks responsible for the total phenol content successfully.


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