Showing papers by "Paweł Pomastowski published in 2018"
TL;DR: Microbiology neutralization of zearalenone using Lactococcus lactis and Bifidobacterium sp.
Abstract: The aim of the study was to neutralize zearalenone by lactic acid bacteria (LAB) such as Lactococcus lactis and Bifidobacterium sp. and investigate the mechanism of zearalenone (ZEA) binding. Neutralization of ZEA by LAB was confirmed by identification of binding kinetics and spectroscopic studies such as Fourier transform infrared spectroscopy (FT-IR) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). The obtained results showed that the kinetic process of zearalenone binding to L. lactis is not homogeneous but is expressed with an initial rapid stage with about 90% of ZEA biosorption and with a much slower second step. In case of Bifidobacterium sp., the neutralization process is homogeneous; the main stage can be described with about 88% of ZEA biosorption. MALDI-TOF-MS measurements and FTIR analysis confirmed the uptake of zearalenone molecules by bacterial species. Moreover, the assessment of dead and live lactic acid bacteria cells after zearalenone treatment was performed using fluorescence microscopy. Graphical abstract Microbiology neutralization of zearalenone using Lactococcus lactis and Bifidobacterium sp. was confirmed by identification of binding kinetics and spectroscopic studies such as FT-IR spectroscopy and MALDI-TOF-MS spectrometry. The mechanism of ZEA binding was also investigated.
48 citations
TL;DR: In this article, a study of the zinc oxide nanocomposites intracellular synthesis by lactic acid bacteria is presented, where the kinetic processes on the ZnO biocolloids interface are described as well.
42 citations
TL;DR: The microscopic and spectrometric analysis shows that the pH value of the calcium ions solution has a significant effect on the intensity yeast cells clumping, and form the analytical solution for coupling of electrophoresis and MALDI-TOF MS technique.
Abstract: The effect of a different pH on Saccharomyces cerevisiae cells modified with calcium ions was investigated by the capillary zone electrophoresis technique. For the identification of the wild strain of S. cerevisiae, the ribosomal nucleic acid sequencing and internal transcribed spacer sequencing as well as spectrometric approach were applied. The potentiometric titration and Fourier transform infrared spectroscopy have shown the occurrence of active functional groups such as carboxyl, amine/hydroxyl, phosphate/hydrogen phosphate groups on the surface of native yeast cells. Moreover, the spectroscopy study in a medium infrared range was carried out to identify the functional groups of yeast cells that participate in calcium ions binding interaction. Furthermore, the microscopic and spectrometric analysis shows that the pH value of the calcium ions solution has a significant effect on the intensity yeast cells clumping. Additionally, the impact of yeast cell clumping on the electrophoretic behaviours was examined. The modification of surface functional groups by calcium ions significantly affected the efficiency of electrophoretic separation. However, these changes did not affect the accuracy of S. cerevisiae identification by MALDI equipment with BioTyper platform. These results form the analytical solution for coupling of electrophoresis and MALDI-TOF MS technique.
30 citations
TL;DR: A sensitive, rapid and specific analytical method using high performance liquid chromatography coupled with mass spectrometry (HPLC-QqQ-MS) was developed and applied in a pharmacokinetic study of the selected antibiotic drugs and their metabolites in real human samples.
26 citations
TL;DR: It is successfully demonstrated that the treatment of bacterial strains with bioAgNPs has a direct influence on their VOC profiles, by modifying the number of metabolic markers.
Abstract: The use of silver nanoparticles has become in recent years a growing interest for many researchers, due to their bacteriostatic and bactericidal properties and synergetic effects when they are used together with antibiotics, for an increased efficiency and less adverse reactions in the treatment of bacterial infections. Gas chromatography coupled with mass spectrometry (GC-MS), which is considered 'the golden standard' in chemical analysis, has proven to be a reliable instrument, perfectly suitable for clinical analysis. In this work, three bacterial strains, Escherichia coli (E. coli), Klebsiella oxytoca (K. oxytoca) and Staphylococcus saccharolyticus (S. saccharolyticus) were treated with biosilver nanoparticles (bioAgNPs). Headspace and GC-MS analysis was used for the detection of volatile metabolites. We observed decreased amounts of alcohols and carbonyl components (mainly ketones) in K. oxytoca and S. saccharolyticus bacteria incubated with silver. In contrast, biosilver nanoparticles added to E. coli increased the amount of VOCs, mainly hydrocarbons and alcohols. Our results have successfully demonstrated that the treatment of bacterial strains with bioAgNPs has a direct influence on their VOC profiles, by modifying the number of metabolic markers. Connected with this, the inhibition of bacteria is supposed, and consequently both the bacteriostatic and/or bactericidal effects of bioAgNPs on all three bacterial strains investigated were revealed.
22 citations
TL;DR: Current review focuses on modern computational techniques to study bioactivity of selected natural compounds within sets of computerized collections to prevent subjecting of ultimatively ineffective drug candidates to clinical trials.
Abstract: Due to the structural diversity of natural compounds in plants kingdom and a wide range of beneficial properties for health, they are attractive to use for various applications. Natural bioactivity means pharmacological effects induced by compounds of interest, which can be a subject of change under different conditions and dependent on individual organism. Development of supercomputers, spectroscopy techniques, completion of human genome project led to development of computational techniques in drug design. Their application can significantly benefit drug discovery field by reducing experiments in vivo, thus preventing subjecting of ultimatively ineffective drug candidates to clinical trials and simultaneously making contribution to understanding initial disease complex mechanisms that can change, e.g. due to gene mutations. Therefore, bioactivity data for natural bioactive compounds as potential drug candidates needs to be constantly updated within sets of computerized collections. Current review focuses on modern computational techniques to study bioactivity of selected natural compounds.
14 citations
TL;DR: A target-based drug screening method is proposed exploiting the synergy effect of ligand-based and structure-based computer-assisted drug design, which provides great flexibility in drug design and drug candidates with considerably lower risk in an efficient manner.
Abstract: In this work, a target-based drug screening method is proposed exploiting the synergy effect of ligand-based and structure-based computer-assisted drug design. The new method provides great flexibility in drug design and drug candidates with considerably lower risk in an efficient manner. As a model system, 45 sulphonamides (33 training, 12 testing ligands) in complex with carbonic anhydrase IX were used for development of quantitative structure-activity-lipophilicity (property)-relationships (QSPRs). For each ligand, nearly 5,000 molecular descriptors were calculated, while lipophilicity (logkw) and inhibitory activity (logKi) were used as drug properties. Genetic algorithm-partial least squares (GA-PLS) provided a QSPR model with high prediction capability employing only seven molecular descriptors. As a proof-of-concept, optimal drug structure was obtained by inverting the model with respect to reference drug properties. 3509 ligands were ranked accordingly. Top 10 ligands were further validated through molecular docking. Large-scale MD simulations were performed to test the stability of structures of selected ligands obtained through docking complemented with biophysical experiments.
13 citations
TL;DR: The obtained results in this study proved that MALDI-TOF-MS is a rapid, sensitive and very powerful tool for identification of cyclitols within plants and has the potential to differentiate between enantiomers.
Abstract: INTRODUCTION Alfalfa (Medicago sativa L.) is the subject of many studies due to its numerous chemical constituents and beneficial properties. Among these constituents are cyclitols, which have attracted attention due to the variety of biological properties they have. OBJECTIVE A rapid and sensitive analytical procedure based on matrix-assisted laser desorption ionisation technique with time-of-flight and mass spectrometry (MALDI-TOF-MS) analysis was used for the first time for the identification of three cyclitols from different parts of alfalfa. METHODOLOGY Plant extracts were prepared and purified using Soxhlet extraction and solid-phase extraction (SPE). Then, samples were dissolved in α-cyano-4-hydroxycinnamic acid (HCCA) matrix, and subjected to MALDI-TOF-MS analysis. RESULTS The ion at m/z 524.0 was distributed in all standards and in leaves and stem extracts. In turn, the signal at m/z 335.1 was found in all standards and all alfalfa extracts. The ion at m/z144.1 was found just for d-chiro-inositol and distributed in all extracts. Both signals at m/z 265.9 and 250.0 were found only in l-chiro-inositol standard and the extract of stem. However, the ion at m/z 177.1 was found in d-pinitol standard and the extract of leaves. Based on molecular weights, information on fragment ions obtained by MALDI-TOF-MS, and the chemistry of cyclitols, we successfully identified three cyclitols (d-chiro-inositol, l-chiro-inositol, d-pinitol) in different parts of alfalfa (leaves, stem, flowers). CONCLUSION The obtained results in this study proved that MALDI-TOF-MS is a rapid, sensitive and very powerful tool for identification of cyclitols within plants and has the potential to differentiate between enantiomers.
12 citations
TL;DR: It is demonstrated that the variation of the silver surface coating directly influenced the migration rate of biologically synthesized silver composites and proves that the fractionation mechanism of silver biocolloids relies not only on the particle size but also on the type and mass of the surface coatings.
Abstract: Asymmetric flow field-flow fractionation coupled with use of ultraviolet–visible, multiangle light scattering (MALLS), and dynamic light scattering (DLS) detectors was used for separation and characterization of biologically synthesized silver composites in two liquid compositions. Moreover, to supplement the DLS/MALLS information, various complementary techniques such as transmission electron spectroscopy, Fourier transform infrared spectroscopy, and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) were used. The hydrodynamic diameter and the radius of gyration of silver composites were slightly larger than the sizes obtained by transmission electron microscopy (TEM). Moreover, the TEM results revealed the presence of silver clusters and even several morphologies, including multitwinned. Additionally, MALDI-TOF MS examination showed that the particles have an uncommon cluster structure. It can be described as being composed of two or more silver clusters. The organic surface of the nanoparticles can modify their dispersion. We demonstrated that the variation of the silver surface coating directly influenced the migration rate of biologically synthesized silver composites. Moreover, this study proves that the fractionation mechanism of silver biocolloids relies not only on the particle size but also on the type and mass of the surface coatings. Because silver nanoparticles typically have size-dependent cytotoxicity, this behavior is particularly relevant for biomedical applications.
10 citations
7 citations