215 research outputs found
NMR as Used in the Russian and Foreign Pharmacopoeias for Quality Control of Medicinal Products
The ongoing development of the Pharmacopoeia of the Eurasian Economic Union and the current trend for harmonisation of the Russian Pharmacopoeia with the world leading pharmacopoeias suggest the necessity of studying how different pharmacopoeias use nuclear magnetic resonance (NMR) for quality control of medicinal products. The aim of the study was to compare the extent of medicine quality characteristics assessed by NMR in the Russian and foreign pharmacopoeias. The review summarises the experience of various national and world pharmacopoeias in using the NMR method for quality control of medicines and certification of pharmacopoeial reference materials. The comparative analysis covered the following quality parameters: active ingredient identification, determination of the composition of non-stoichiometric compounds, determination of the average polymer chain length in polymers and block copolymers, determination of the absolute content of the active ingredient, identification and quantification of impurities, polymorphism, and crystallinity. It was shown that the United States and Japanese Pharmacopoeias are leading the way in introducing the NMR method into pharmacopoeial analysis. There have been some positive trends in the introduction of the NMR method in the State Pharmacopoeia of the Russian Federation as well. It was concluded that changes are needed in the general chapters βNuclear Magnetic Resonance Spectroscopyβ and βReference Standardsβ of the State Pharmacopoeia of the Russian Federation, 14th ed. in order to harmonise the texts with those of the Eurasian Pharmacopoeia and the European Pharmacopoeia and to allow for the possibility of direct identification of a substance by complex analysis of NMR spectral data, without comparing the test sample and the reference standard spectra. The NMR method should be included in the list of absolute methods used for determination of purity of primary chemical reference substances during certification
Medication errors associated with carbapenems
Purpose. The purpose of this study was to discover the prevalence and types of medication errors associated with the use of carbapenems. Materials and methods. We analyzed 161 spontaneous reports concerning adverse drug reactions associated with the carbapenems. All the reports were submitted to the Russian pharmacovigilance database between 01.01.2012 and 01.08.2014. Approved prescribing drug information, standards of medical care and practical guidelines for certain conditions were used to identify medication errors associated with specific products. Results. The prevalence of medication errors associated with the use of carbapenems was 24,8%. The reporters indicated medication error-related term only in 5,0% of these cases. The most common types of identified medication errors (44,0%) were deviations from the recommended dosing scheme, in most cases (20,0%) medication errors resulted from wrong frequency of administration of the antibiotic. Conclusions. The results of this study show that the reporters rarely recognize and identify medication errors. We suggest emphasizing the importance of compliance with the dosage regimen of antibiotics; the frequency of administration of carbapenems is critical
Diffusion-Ordered NMR Spectroscopy Application for Analysis of Polysaccharides
Diffusion-ordered nuclear magnetic resonance spectroscopy (DOSY) is a molecular transport method in analytical chemistry, based on experimental recording of the moleculesβ translational mobility at thermodinamic equilibrium in a solution. The translational mobility is characterised quantitatively by a self-diffusion coefficient. The aim of the study was to summarise the main trends in application of DOSY for the analysis of natural and modified natural polysaccharides used in pharmaceuticals and pharmaceutical biotechnology. The review shows that this method is an effective instrument for monitoring fractionation during isolation of polysaccharides from a natural mixture, for estimating their average molecular weight and molecular weight distribution, and for studying the formation of supramolecular systems based on polysaccharides. The paper describes main issues of the precise measurement of polysaccharide macromolecules self-diffusion coefficients and provides the correction factors to compensate for errors caused by fluctuations in temperature and viscosity of solutions. The observed scatter of self-diffusion coefficients of narrowly dispersed polymer macromolecules nuclei is explained using the polyphase concept. The paper illustrates ways of describing translational mobility of a polyphase polymer macromolecule as a whole. The authors summarise values of the gradient pulse sequence parameters used in quantitative measurements of self-diffusion coefficients of linear, low-branched, and branched polysaccharides
Determination of Heavy Metals, Arsenic, and Aluminum Content in Pumpkin Seed Herbal Substance and Native Products, by Inductively Coupled Plasma Mass Spectrometry
Pumpkin seeds belong to the so-called native products. Their characteristic feature is that they can be consumed directly, without prior extraction of the starting material. All elemental toxicants contained in pumpkin seeds are transferred in full to the native product. Therefore, it is important to study specific aspects of elemental toxicant accumulation by pumpkin seeds.The aim of the study was to determine the content of heavy metals, As, and Al in pumpkin seed herbal substance and native products, and to assess the degree of accumulation of these elements, depending on the vegetation area.Materials and methods: the study evaluated pumpkin seed native products by Russian manufacturers as well as pumpkin seeds harvested in areas with different anthropogenic load. The sample preparation was performed by microwave digestion, and the determination of the elemental toxicants was perfomed by inductively coupled plasma mass spectrometry.Results: the pumpkin seeds were shown to contain essential, probably essential, potentially toxic, and toxic elements. The authors performed comparative analysis of the elemental composition of pumpkin seeds as well as seeds, grains, and beans of various oil-bearing, grain, and leguminous crops.Conclusions: the content of the specified elemental toxicants (As, Cd, Hg, Pb) in the tested samples of pumpkin seed herbal substance and herbal medicinal products did not exceed the limits established by the Russian Pharmacopoeia. The unspecified toxic elements were either absent in pumpkin seeds (Tl) or found in trace amounts (Al). The content of a number of essential elements (Zn, Fe, Mn, Cu, Mo, Cr) in pumpkin seeds was higher than in the seeds of many oil-bearing crops. The vegetation area had no significant influence on the content of the tested elements in the pumpkin seeds. Pumpkin seeds are capable of accumulating abnormally high amounts of Cd, Co, and Ni in areas with high environmental pollution
Determination of zinc content in insulin products by inductively coupled plasma mass spectrometry
Scientific relevance. Zinc content is a quality attribute of insulin products. The State Pharmacopoeia of the Russian Federation requires that it should be determined by flame atomic absorption spectrometry (FAAS). However, many pharmaceutical manufacturers currently prefer inductively coupled plasma mass spectrometry (ICP-MS), which is considered the most promising method for pharmaceutical and biomedical elemental analysis.Aim. The study aimed to develop and validate an ICP-MS-based analytical procedure for zinc content determination in insulin products.Materials and methods. The study focused on human insulin, insulin lispro, insulin aspart, and insulin glargine in the form of active substances, suspensions for subcutaneous injection, and solutions for injection from different manufacturers. Zinc content was determined on an Agilent 7900 ICP-MS; the analysis included 66Zn signal intensity registration.Results. The study compared the results of zinc content determination in test samples with either hydrochloric or nitric acid used as the solvent for sample preparation. The authors selected the experimental conditions to achieve relative standard deviations (RSDs) of not more than 2.5% for the measurements. The ICP-MSbased analytical procedure was validated for its specificity, linearity, accuracy, and precision in the range of 0.4β1.6 mg/L. The authors compared the measurements of zinc content made using FAAS and ICP-MS.Conclusions. The ICP-MS-based analytical procedure for zinc content determination in insulin products meets the validation criteria. This analytical procedure, as developed and validated, may be used in the quality control of medicinal products in the Russian healthcare system and at the batch release stage of pharmaceutical manufacturing
Selective Quantification of Organic and Inorganic Arsenic in Kelp Thalli and Kelp-Based Products
Kelp can accumulate large quantities of arsenic compounds even in the absence of considerable environmental pollution. A substantial difference in toxicity between organic and inorganic arsenic compounds makes the form of arsenic relevant for the risk assessment of consuming kelp thalli and kelp-based products.The aim of the study was to develop an analytical procedure for the selective quantification of organic and inorganic arsenic in kelp thalli by inductively coupled plasma mass spectrometry and solid-phase extraction without scheduled precursors.Materials and methods. The authors studied samples of Laminaria saccharina and Laminaria japonica, spiking mixtures of chemical compounds containing arsenic in different oxidation states, and bioactive dietary supplements based on kelp thalli. Solid-phase extraction was performed using Maxi-Clean SAX cartridges. The arsenic content was determined using an Agilent 7900 inductively coupled plasma mass spectrometer.Results. Microwave-assisted extraction with deionised water ensures 91% recovery of arsenic-containing compounds from kelp thalli, and the addition of hydrogen peroxide to the extractant provides complete extraction. Solid-phase extraction with an eluent based on 3% H2O2 can extract the organic fraction from a mixture of organic and inorganic arsenic compounds without washing the inorganic fraction off the cartridge.Conclusions. The authors offer an effective analytical procedure for the selective quantification of organic and inorganic arsenic in kelp thalli and kelp-based products. This procedure allows for the isolation of arsenic-containing compounds from the organic matrix of kelp with 3% hydrogen peroxide. Solid-phase extraction with this extractant can effectively separate organic and inorganic fractions without prior neutralisation of the test solution
NMR Spectroscopy Study of the Effect of the Molecular Mass of Hypromellose Phthalate on Its Solubility
Scientific relevance.Β Hypromellose phthalate is used in enteric coatings for oral medicinal products. The proportion of phthalate groups in the polymer is standardised because it has a significant effect on solubility. Whereas, the molecular mass of hypromellose phthalate is not controlled, and its impact on solubility in media with different pH values is understudied.Aim. The study aimed to employ NMR spectroscopy to investigate the effect the molecular mass of hypromellose phthalate may have on the dissolution kinetics at the pH value declared by the polymer manufacturer.Materials and methods. The study analysed hypromellose phthalate isolated from proton-pump inhibitor enteric coatings and the hypromellose phthalate reference standard. The molecular mass of the polymer was estimated by diffusion-ordered NMR spectroscopy (DOSY) with polyethylene glycols of known molecular masses for calibration. The authors studied the dissolution profiles of hypromellose phthalates of different molecular masses using 1H NMR spectra.Results. The authors developed a procedure for estimating the average molecular mass of hypromellose phthalate by DOSY. The procedure showed variations in the molecular mass of the polymer in the test samples; the molecular mass scatter amounted to 10 kDa. The dissolution profile of the test samples in an aqueous buffer solution (pH 5.59) was described by a linear function during the first hour. The slope characterising the dissolution rate varied from 10Β° to 36Β°.Conclusions. The variation in the molecular mass of hypromellose phthalate significantly affects the dissolution rate of the test samples. The function of the dissolution rate against the molecular mass of hypromellose phthalate is non-linear. The article provides a compelling reason for further research to derive a correlation equation for the dissolution rate of hypromellose phthalate as a function of two variables (molecular mass and proportion of phthalate groups in the polymer)
NMR spectroscopy study of the structure of hypromellose phthalate, a component of enteric coatings of medicinal products
Scientific relevance. Hypromellose phthalate is a component of enteric coatings used to modify active substance release from oral medicinal products in the small intestine. The release rate directly depends on the non-stoichiometric composition of the polymer, first of all, on the proportion of phthalate groups in the macromolecule. It is therefore necessary to develop reliable analytical procedures for determining the structure of hypromellose phthalate to evaluate the dissolution rate of medicinal products containing the polymer.Aim. The study aimed to develop an analytical procedure for quantifying the proportion of phthalate groups in hypromellose phthalate samples using NMR spectroscopy and to determine the relationship between the polymer dissolution rate in aqueous buffer solutions and its structural features (degree of molar substitution and molecular mass).Materials and methods. The study examined hypromellose phthalate samples isolated from enteric coatings of proton-pump inhibitors and used the reference standard for hypromellose phthalate. The non-stoichiometric composition of the polymer was determined by 13C NMR spectroscopy.Results. The authors established the conditions required to separate hypromellose phthalate from the other coating components and identified the characteristic 13C NMR signals that may be used to differentiate between the structural fragments of hypromellose phthalate. The study demonstrated the relationship between the dissolution rate and the structure of the polymer. Commercial grades of hypromellose phthalate were shown to differ in composition and, as a result, in their dissolution kinetics (in particular, the threshold pH for the onset of dissolution (5.0β5.5), as well as the dissolution rates at the same pH).Conclusions. The authors developed NMR-based procedures to determine the proportion of phthalate groups on the basis of their mass fraction in a weighted hypromellose phthalate sample and the degree of molar substitution of the polymer. The results support the applicability of these analytical procedures to the characterisation of sample composition in polymer dissolution rate studies. In principle, it is possible to derive a multiple linear regression equation that describes the dissolution rate of hypromellose phthalate as a function of the molecular mass and the molar substitution with phthalate groups. Further investigation of a larger number of polymer samples with different compositions is needed to improve the regression model and demonstrate its statistical significance. In addition to the proportion of phthalate groups, the pharmacopoeial analysis of hypromellose phthalate should also control the molecular mass of the polymer
Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½ΠΈΡ ΠΏΠΎΠ΄Π»ΠΈΠ½Π½ΠΎΡΡΠΈ ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΠΈΡΠ΅ΡΠΊΠΈΡ ΡΡΠ±ΡΡΠ°Π½ΡΠΈΠΉ ΡΡΠΈΠΏΡΠΎΡΠ΅Π»ΠΈΠ½Π° Π°ΡΠ΅ΡΠ°Ρ ΠΈ Π³ΠΎΠ·Π΅ΡΠ΅Π»ΠΈΠ½Π° Π°ΡΠ΅ΡΠ°Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π―ΠΠ -ΡΠΏΠ΅ΠΊΡΡΠΎΡΠΊΠΎΠΏΠΈΠΈ
The work is a continuation of the research on the use of NMR spectroscopy in the quality control of natural peptide hormone-based active substances and their synthetic analogues. The aim of the paper was to develop identification test methods for triptorelin acetate and goserelin acetate substances using NMR spectroscopy that does not require reference standards β with the aim of using the newly developed test methods in pharmacopoeial analysis. Materials and methods: the procedure was developed using two-dimensional NMR spectroscopy (1H-1H gCOSY, 1H-13C gHSQC, 1H-13C gHMBC). Results: thestudy made it possible to assign 1H and 13C NMR signals to a specific molecular fragment, and to determine the amino acid composition of each oligopeptide. Conclusions: the authors drew up a table showing structural assignment of NMR signals, which makes it possible to use the NMR method for identification testing of triptorelin acetate and goserelin acetate substances without the use of pharmacopoeial reference standards. The study helped to determine the optimal temperature conditions for recording 13C NMR spectra (27Β Β°Π‘ and 50Β Β°Π‘ for triptorelin acetate and goserelin acetate, respectively). It was demonstrated that 13C NMR spectroscopy could be used for identification testing in pharmacopoeial analysis. Β Π Π°Π±ΠΎΡΠ° ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠΎΠ΄ΠΎΠ»ΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΡ ΠΌΠ΅ΡΠΎΠ΄Π° Π―ΠΠ -ΡΠΏΠ΅ΠΊΡΡΠΎΡΠΊΠΎΠΏΠΈΠΈ Π² ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ±ΡΡΠ°Π½ΡΠΈΠΉ ΠΏΡΠΈΡΠΎΠ΄Π½ΡΡ
ΠΏΠ΅ΠΏΡΠΈΠ΄Π½ΡΡ
Π³ΠΎΡΠΌΠΎΠ½ΠΎΠ² ΠΈ ΠΈΡ
ΡΠΈΠ½ΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π°Π½Π°Π»ΠΎΠ³ΠΎΠ². Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ: ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½ΠΈΡ ΠΏΠΎΠ΄Π»ΠΈΠ½Π½ΠΎΡΡΠΈ ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ±ΡΡΠ°Π½ΡΠΈΠΉ ΡΡΠΈΠΏΡΠΎΡΠ΅Π»ΠΈΠ½Π° Π°ΡΠ΅ΡΠ°ΡΠ° ΠΈ Π³ΠΎΠ·Π΅ΡΠ΅Π»ΠΈΠ½Π° Π°ΡΠ΅ΡΠ°ΡΠ° ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π―ΠΠ -ΡΠΏΠ΅ΠΊΡΡΠΎΡΠΊΠΎΠΏΠΈΠΈ Π±Π΅Π· ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΡΡ
ΠΎΠ±ΡΠ°Π·ΡΠΎΠ² Π΄Π»Ρ ΠΈΡ
Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅Π³ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π² ΡΠ°ΡΠΌΠ°ΠΊΠΎΠΏΠ΅ΠΉΠ½ΠΎΠΌ Π°Π½Π°Π»ΠΈΠ·Π΅. ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ: ΠΏΡΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ Π±ΡΠ»ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΠΌΠ΅ΡΠΎΠ΄Ρ Π΄Π²ΡΠΌΠ΅ΡΠ½ΠΎΠΉ Π―ΠΠ -ΡΠΏΠ΅ΠΊΡΡΠΎΡΠΊΠΎΠΏΠΈΠΈ (1H-1H gCOSY, 1H-13C gHSQC, 1H-13C gHMBC). Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ: Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΡΠΎΠΎΡΠ½Π΅ΡΠ΅Π½ΠΈΠ΅ ΡΠΈΠ³Π½Π°Π»ΠΎΠ² 1Π ΠΈ 13Π‘ Π―ΠΠ -ΡΠΏΠ΅ΠΊΡΡΠΎΠ² ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΠΎΠΌΡ ΡΡΡΡΠΊΡΡΡΠ½ΠΎΠΌΡ ΡΡΠ°Π³ΠΌΠ΅Π½ΡΡ ΠΌΠΎΠ»Π΅ΠΊΡΠ»Ρ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ Π°ΠΌΠΈΠ½ΠΎΠΊΠΈΡΠ»ΠΎΡΠ½ΡΠΉ ΡΠΎΡΡΠ°Π² ΠΈ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π° Π°ΠΌΠΈΠ½ΠΎΠΊΠΈΡΠ»ΠΎΡΠ½Π°Ρ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΠΎΠ»ΠΈΠ³ΠΎΠΏΠ΅ΠΏΡΠΈΠ΄Π°. ΠΡΠ²ΠΎΠ΄Ρ: ΡΠΎΡΡΠ°Π²Π»Π΅Π½Π° ΡΠ°Π±Π»ΠΈΡΠ° ΡΡΡΡΠΊΡΡΡΠ½ΠΎΠ³ΠΎ ΡΠΎΠΎΡΠ½Π΅ΡΠ΅Π½ΠΈΡ ΡΠΈΠ³Π½Π°Π»ΠΎΠ² ΡΠΏΠ΅ΠΊΡΡΠΎΠ² Π―ΠΠ , ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠ°Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΠΌΠ΅ΡΠΎΠ΄ Π―ΠΠ Π΄Π»Ρ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½ΠΈΡ ΠΏΠΎΠ΄Π»ΠΈΠ½Π½ΠΎΡΡΠΈ ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ±ΡΡΠ°Π½ΡΠΈΠΉ ΡΡΠΈΠΏΡΠΎΡΠ΅Π»ΠΈΠ½Π° Π°ΡΠ΅ΡΠ°Ρ ΠΈ Π³ΠΎΠ·Π΅ΡΠ΅Π»ΠΈΠ½Π° Π°ΡΠ΅ΡΠ°Ρ Π±Π΅Π· ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΠ°ΡΠΌΠ°ΠΊΠΎΠΏΠ΅ΠΉΠ½ΡΡ
ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΡΡ
ΠΎΠ±ΡΠ°Π·ΡΠΎΠ². ΠΠΎΠ΄ΠΎΠ±ΡΠ°Π½Ρ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΠ΅ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΡΠ΅ ΡΡΠ»ΠΎΠ²ΠΈΡ Π΄Π»Ρ ΡΠ΅Π³ΠΈΡΡΡΠ°ΡΠΈΠΈ 13C Π―ΠΠ -ΡΠΏΠ΅ΠΊΡΡΠΎΠ² (27 ΠΈ 50 Β°Π‘ Π΄Π»Ρ ΡΡΠΈΠΏΡΠΎΡΠ΅Π»ΠΈΠ½Π° Π°ΡΠ΅ΡΠ°ΡΠ° ΠΈ Π³ΠΎΠ·Π΅ΡΠ΅Π»ΠΈΠ½Π° Π°ΡΠ΅ΡΠ°ΡΠ° ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ). ΠΠΎΠΊΠ°Π·Π°Π½Π° ΡΠ΅Π»Π΅ΡΠΎΠΎΠ±ΡΠ°Π·Π½ΠΎΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π² ΡΠ°ΡΠΌΠ°ΠΊΠΎΠΏΠ΅ΠΉΠ½ΠΎΠΌ Π°Π½Π°Π»ΠΈΠ·Π΅ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½ΠΈΡ ΠΏΠΎΠ΄Π»ΠΈΠ½Π½ΠΎΡΡΠΈ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΡ Π½Π° ΠΌΠ΅ΡΠΎΠ΄Π΅ 13C Π―ΠΠ -ΡΠΏΠ΅ΠΊΡΡΠΎΡΠΊΠΎΠΏΠΈΠΈ
ΠΡΠΎΠ±Π»Π΅ΠΌΠ° ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΡ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΏΡΠΈ ΡΠ΅ΡΠ΅Π½ΠΈΠΈ Π·Π°Π΄Π°ΡΠΈ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½ΠΈΡ ΠΏΠΎΠ΄Π»ΠΈΠ½Π½ΠΎΡΡΠΈ ΠΎΡΠ³Π°Π½ΠΈΡΠ΅ΡΠΊΠΈΡ ΡΠΎΠ΅Π΄ΠΈΠ½Π΅Π½ΠΈΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π―ΠΠ -ΡΠΏΠ΅ΠΊΡΡΠΎΡΠΊΠΎΠΏΠΈΠΈ
The number, shape and position of NMR spectral lines depend on dynamic processes, and this creates certain difficulties in identification of pharmaceutical substances by NMR spectroscopy. The aim of the paper was to study instances of manifestation of intramolecular dynamic processes that affect identification of organic compounds by NMR, and to illustrate the potential of the methods used for their reduction, as well as associated problems.Materials and methods: 1H and 13C spectra of the following pharmaceutical substances: Β«buserelin acetateΒ», Β«valsartanΒ», Β«goserelin acetateΒ», Β«iopromideΒ», Β«clopidogrel hydrogensulfateΒ», Β«omeprazoleΒ», Β«proroxanΒ», Β«risperidoneΒ», Β«triptorelin acetateΒ», and Β«enalapril maleateΒ» were used to demonstrate negative effects of dynamic processes. The spatial structures of conformers were established by 1H-1H ROESY experiments. The quantum-chemical calculation of geometric and thermodynamic characteristics of different conformers was carried out by the PM3 method, and electronic characteristicsβby the AM1 method with the help of the HyperChem software.Results: the authors analysed intramolecular dynamic processes which are most commonly encountered in expert work: pyramidal inversion of nitrogen in a heterocyclic compound (risperidone, proroxan, clopidogrel), rotation of molecular fragments around the amide bond (valsartan, iopromide, enalapril), prototropic rearrangements (buserelin, goserelin, omeprazole, triptorelin). The change in exchange rates was explained from the perspective of the change in the system of intra- and intermolecular nonvalent interactions.Conclusions: the use of traditional methods for increasing the rate of dynamic processes (increasing the temperature and changing the solvent) does not always eliminate the negative effects of intramolecular transformations. Methods of smoothing the spectral manifestations of dynamic processes have limited application due to strong intramolecular nonvalent interactions which prevent the conversion of the dynamic process rate into fast exchange. Experts and manufacturers should take into account the manifestation of dynamic processes during identification of pharmaceutical substances by NMR spectroscopy.ΠΠ°Π²ΠΈΡΠΈΠΌΠΎΡΡΡ ΡΠΈΡΠ»Π°, ΡΠΎΡΠΌΡ ΠΈ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΡ Π»ΠΈΠ½ΠΈΠΉ Π² Π―ΠΠ -ΡΠΏΠ΅ΠΊΡΡΠ΅ ΠΎΡ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΡΠΎΠ·Π΄Π°Π΅Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΠ΅ ΡΡΡΠ΄Π½ΠΎΡΡΠΈ ΠΏΡΠΈ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½ΠΈΠΈ ΠΏΠΎΠ΄Π»ΠΈΠ½Π½ΠΎΡΡΠΈ ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ±ΡΡΠ°Π½ΡΠΈΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π―ΠΠ -ΡΠΏΠ΅ΠΊΡΡΠΎΡΠΊΠΎΠΏΠΈΠΈ.Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ: ΡΠ°ΡΡΠΌΠΎΡΡΠ΅ΡΡ ΠΏΡΠΈΠΌΠ΅ΡΡ ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΡ Π²Π½ΡΡΡΠΈΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΡΡ
Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ², ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΠΎ Π²Π»ΠΈΡΡΡΠΈΡ
Π½Π° ΠΏΡΠΎΡΠ΅Π΄ΡΡΡ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΎΡΠ³Π°Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΠ΅Π΄ΠΈΠ½Π΅Π½ΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π―ΠΠ , ΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡ ΡΠΏΠΎΡΠΎΠ±ΠΎΠ² ΠΈΡ
ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ: Π΄Π»Ρ ΠΈΠ»Π»ΡΡΡΡΠ°ΡΠΈΠΈ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΡΡ
ΡΡΡΠ΅ΠΊΡΠΎΠ² Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ Π―ΠΠ -ΡΠΏΠ΅ΠΊΡΡΡ 1Π ΠΈ 13Π‘ Π»Π΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΡΡ
ΡΡΠ±ΡΡΠ°Π½ΡΠΈΠΉ: Π±ΡΡΠ΅ΡΠ΅Π»ΠΈΠ½Π° Π°ΡΠ΅ΡΠ°Ρ, Π²Π°Π»ΡΠ°ΡΡΠ°Π½, Π³ΠΎΠ·Π΅ΡΠ΅Π»ΠΈΠ½Π° Π°ΡΠ΅ΡΠ°Ρ, ΠΉΠΎΠΏΡΠΎΠΌΠΈΠ΄, ΠΊΠ»ΠΎΠΏΠΈΠ΄ΠΎΠ³ΡΠ΅Π»Π° Π³ΠΈΠ΄ΡΠΎΡΡΠ»ΡΡΠ°Ρ, ΠΎΠΌΠ΅ΠΏΡΠ°Π·ΠΎΠ», ΠΏΡΠΎΡΠΎΠΊΡΠ°Π½, ΡΠΈΡΠΏΠ΅ΡΠΈΠ΄ΠΎΠ½, ΡΡΠΈΠΏΡΠΎΡΠ΅Π»ΠΈΠ½Π° Π°ΡΠ΅ΡΠ°Ρ, ΡΠ½Π°Π»Π°ΠΏΡΠΈΠ»Π° ΠΌΠ°Π»Π΅Π°Ρ. ΠΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎΠ΅ ΡΡΡΠΎΠ΅Π½ΠΈΠ΅ ΠΊΠΎΠ½ΡΠΎΡΠΌΠ΅ΡΠΎΠ² ΡΡΡΠ°Π½Π°Π²Π»ΠΈΠ²Π°Π»ΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π΄Π°Π½Π½ΡΡ
1Π-1Π ROESY ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠΎΠ². ΠΠ²Π°Π½ΡΠΎΠ²ΠΎ-Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠ°ΡΡΠ΅Ρ Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΡΠ΅ΡΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΊΠΎΠ½ΡΠΎΡΠΌΠ΅ΡΠΎΠ² ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π Π3, ΡΠ»Π΅ΠΊΡΡΠΎΠ½Π½ΡΡ
β ΠΠ1 Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ HyperChem.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ: ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΡΠΎ Π²ΡΡΡΠ΅ΡΠ°ΡΡΠΈΠ΅ΡΡ Π² ΡΠΊΡΠΏΠ΅ΡΡΠ½ΠΎΠΉ ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅ Π²Π½ΡΡΡΠΈΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΡΠ΅ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΡ: ΠΏΠΈΡΠ°ΠΌΠΈΠ΄Π°Π»ΡΠ½Π°Ρ ΠΈΠ½Π²Π΅ΡΡΠΈΡ ΠΊΠΎΠ½ΡΠΈΠ³ΡΡΠ°ΡΠΈΠΈ Π°ΡΠΎΠΌΠ° Π°Π·ΠΎΡΠ° Π² Π³Π΅ΡΠ΅ΡΠΎΡΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΠΎΠ΅Π΄ΠΈΠ½Π΅Π½ΠΈΠΈ (ΡΠΈΡΠΏΠ΅ΡΠΈΠ΄ΠΎΠ½, ΠΏΡΠΎΡΠΎΠΊΡΠ°Π½, ΠΊΠ»ΠΎΠΏΠΈΠ΄ΠΎΠ³ΡΠ΅Π»), Π²ΡΠ°ΡΠ΅Π½ΠΈΠ΅ ΡΡΠ°Π³ΠΌΠ΅Π½ΡΠΎΠ² ΠΌΠΎΠ»Π΅ΠΊΡΠ» Π²ΠΎΠΊΡΡΠ³ Π°ΠΌΠΈΠ΄Π½ΠΎΠΉ ΡΠ²ΡΠ·ΠΈ (Π²Π°Π»ΡΠ°ΡΡΠ°Π½, ΠΉΠΎΠΏΡΠΎΠΌΠΈΠ΄, ΡΠ½Π°Π»Π°ΠΏΡΠΈΠ»), ΠΏΡΠΎΡΠΎΡΡΠΎΠΏΠ½ΡΠ΅ ΠΏΠ΅ΡΠ΅Π³ΡΡΠΏΠΏΠΈΡΠΎΠ²ΠΊΠΈ (Π±ΡΡΠ΅ΡΠ΅Π»ΠΈΠ½, Π³ΠΎΠ·Π΅ΡΠ΅Π»ΠΈΠ½, ΠΎΠΌΠ΅ΠΏΡΠ°Π·ΠΎΠ», ΡΡΠΈΠΏΡΠΎΡΠ΅Π»ΠΈΠ½). ΠΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΎΠ±ΠΌΠ΅Π½Π° ΠΎΠ±ΡΡΡΠ½Π΅Π½ΠΎ Ρ ΠΏΠΎΠ·ΠΈΡΠΈΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ Π²Π½ΡΡΡΠΈ- ΠΈ ΠΌΠ΅ΠΆΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΡΡ
Π½Π΅Π²Π°Π»Π΅Π½ΡΠ½ΡΡ
Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠΉ.ΠΡΠ²ΠΎΠ΄Ρ: ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΈΠ΅ΠΌΠΎΠ² ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΡ ΡΠΊΠΎΡΠΎΡΡΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² (ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΡ ΠΈ ΡΠΌΠ΅Π½Π° ΡΠ°ΡΡΠ²ΠΎΡΠΈΡΠ΅Π»Ρ) Π½Π΅ Π²ΡΠ΅Π³Π΄Π° ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΡΡΡΠ°Π½ΠΈΡΡ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΡΡΠ΅ΠΊΡΡ Π²Π½ΡΡΡΠΈΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΡΡ
ΠΏΡΠ΅Π²ΡΠ°ΡΠ΅Π½ΠΈΠΉ. ΠΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡ Π² ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΈ ΡΠΏΠΎΡΠΎΠ±ΠΎΠ² Π½ΠΈΠ²Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΏΠ΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΠΉ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΡΠ²ΡΠ·Π°Π½Ρ Ρ ΡΠΈΠ»ΡΠ½ΡΠΌΠΈ Π²Π½ΡΡΡΠΈΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΡΠΌΠΈ Π½Π΅Π²Π°Π»Π΅Π½ΡΠ½ΡΠΌΠΈ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡΠΌΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΡΠ΅ΠΏΡΡΡΡΠ²ΡΡΡ ΠΏΠ΅ΡΠ΅Π²ΠΎΠ΄Ρ ΡΠΊΠΎΡΠΎΡΡΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° Π² ΠΎΠ±Π»Π°ΡΡΡ Π±ΡΡΡΡΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π°. ΠΡΠΎΡΠ²Π»Π΅Π½ΠΈΠ΅ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΡΡΠΈΡΡΠ²Π°ΡΡ ΡΠΊΡΠΏΠ΅ΡΡΠ°ΠΌ ΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠΌ ΠΏΡΠΈ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½ΠΈΠΈ ΠΏΠΎΠ΄Π»ΠΈΠ½Π½ΠΎΡΡΠΈ ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ±ΡΡΠ°Π½ΡΠΈΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π―ΠΠ -ΡΠΏΠ΅ΠΊΡΡΠΎΡΠΊΠΎΠΏΠΈΠΈ
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