Особенности промышленного развития монофункциональных городов Донецкой области

Рассмотрены особенности промышленности моноотраслевых городов Донецкой области. Предлагаются мероприятия по решению проблем их социально-экономического развития.Розглянуто особливості промисловості моногалузевих міст Донецької області. Пропонуються заходи щодо вирішення проблем їх соціально-економічного розвитку.The paper describes the features of the industry in mono-branch cities of Donetsk region. The measures are offered to solve the problems concerning their socio-economic development

Metabolite profiling of the multiple tyrosine kinase inhibitor lenvatinib: a cross-species comparison

Lenvatinib is an oral, multiple receptor tyrosine kinase inhibitor. Preclinical drug metabolism studies showed unique metabolic pathways for lenvatinib in monkeys and rats. A human mass balance study demonstrated that lenvatinib related material is mainly excreted via feces with a small fraction as unchanged parent drug, but little is reported about its metabolic fate. The objective of the current study was to further elucidate the metabolic pathways of lenvatinib in humans and to compare these results to the metabolism in rats and monkeys. To this end, we used plasma, urine and feces collected in a human mass balance study after a single 24 mg (100 μCi) oral dose of 14C-lenvatinib. Metabolites of 14C-lenvatinib were identified using liquid chromatography (high resolution) mass spectrometry with off-line radioactivity detection. Close to 50 lenvatinib-related compounds were detected. In humans, unchanged lenvatinib accounted for 97 % of the radioactivity in plasma, and comprised 0.38 and 2.5 % of the administered dose excreted in urine and feces, respectively. The primary biotransformation pathways of lenvatinib were hydrolysis, oxidation and hydroxylation, N-oxidation, dealkylation and glucuronidation. Various combinations of these conversions with modifications, including hydrolysis, gluthathione/cysteine conjugation, intramolecular rearrangement and dimerization, were observed. Some metabolites seem to be unique to the investigated species (human, rat, monkey). Because all lenvatinib metabolites in human plasma were at very low levels compared to lenvatinib, only lenvatinib is expected to contribute to the pharmacological effects in humans

Fractionation platform for target identification using off-line directed two-dimensional chromatography, mass spectrometry and nuclear magnetic resonance

The unambiguous identification of unknown compounds is of utmost importance in the field of metabolomics. However, current identification workflows often suffer from error-sensitive methodologies, which may lead to incorrect structure annotations of small molecules. Therefore, we have developed a comprehensive identification workflow including two highly complementary techniques, i.e. liquid chromatography (LC) combined with mass spectrometry (MS) and nuclear magnetic resonance spectroscopy (NMR), and used it to identify five taste-related retention time and m/z features in soy sauce. An off-line directed two-dimensional separation was performed in order to purify the features prior to the identification. Fractions collected during the first dimension separation (reversed phase low pH) were evaluated for the presence of remaining impurities next to the features of interest. Based on the separation between the feature and impurities, the most orthogonal second dimension chromatography (hydrophilic interaction chromatography or reversed phase high pH) was selected for further purification. Unknown compounds down to tens of micromolar concentrations were tentatively annotated by MS and structurally confirmed by MS and NMR. The mass (0.4–4.2 μg) and purity of the isolated compounds were sufficient for the acquisition of one and two-dimensional NMR spectra. The use of a directed two-dimensional chromatography allowed for a fractionation that was tailored to each feature and remaining impurities. This makes the fractionation more widely applicable to different sample matrices than one-dimensional or fixed two-dimensional chromatography. Five proline-based 2,5-diketopiperazines were successfully identified in soy sauce. These cyclic dipeptides might contribute to taste by giving a bitter flavour or indirectly enhancing umami flavour.</p

Mass spectrometric recommendations for Quan/Qual analysis using liquid-chromatography coupled to quadrupole time-of-flight mass spectrometry

High-throughput simultaneous quantitative and qualitative (Quan/Qual) analysis is attractive to combine targeted with non-targeted analysis, e.g. in pharmacometabolomics and drug metabolism studies. This study aimed to investigate the possibilities and limitations of high-throughput Quan/Qual analysis by ultra-high performance liquid chromatography (UHPLC) coupled with high-resolution mass spectrometry (HRMS), to develop a widely applicable Quan/Qual UHPLC-HRMS method and to provide recommendations for Quan/Qual method development. A widely applicable 4.25-min UHPLC method for small-molecules was used to investigate and optimize mass spectrometric parameters of a Synapt G2S for Quan/Qual analysis. The method was applied on a rat metabolomics study investigating the effect of the fasting state and administration of a dosing vehicle on the rat plasma metabolic profile. scan mode with a short scan time of 30 ms. This 4.25-min Quan/Qual analysis method enabled quantification with accuracy and precision values ≤ 20% at the lowest quality control (QC) level and ≤15% at higher QC levels for 16 out of 19 tested analytes. It provided both parent m/z values and fragmentation spectra for compound identification with limited loss of chromatographic resolution and it revealed biologically relevant metabolites in its application to the metabolomics study. Quan/Qual method development requires balancing between the amount of qualitative data, the quality of the quantitative data and the analysis time. Recommendations are provided for MS resolution, scan mode, scan rate, smoothing and peak integration in Quan/Qual method development and analysis. BACKGROUND METHODS RESULTS CONCLUSIONAnalytical BioScience

Flavor Profiling Using Comprehensive Mass Spectrometry Analysis of Metabolites in Tomato Soups

Trained sensory panels are regularly used to rate food products but do not allow for data-driven approaches to steer food product development. This study evaluated the potential of a molecular-based strategy by analyzing 27 tomato soups that were enhanced with yeast-derived flavor products using a sensory panel as well as LC-MS and GC-MS profiling. These data sets were used to build prediction models for 26 different sensory attributes using partial least squares analysis. We found driving separation factors between the tomato soups and metabolites predicting different flavors. Many metabolites were putatively identified as dipeptides and sulfur-containing modified amino acids, which are scientifically described as related to umami or having “garlic-like” and “onion-like” attributes. Proposed identities of high-impact sensory markers (methionyl-proline and asparagine-leucine) were verified using MS/MS. The overall results highlighted the strength of combining sensory data and metabolomics platforms to find new information related to flavor perception in a complex food matrix