The assumptions and models for solubility modelling or prediction in systems using nonpolar solvents, or water and complex triterpene and other active pharmaceutical ingredients as solutes aren't well studied. Fur...The assumptions and models for solubility modelling or prediction in systems using nonpolar solvents, or water and complex triterpene and other active pharmaceutical ingredients as solutes aren't well studied. Furthermore, the assumptions concerning heat capacity effects(negligibility, experimental values or approximations) are explored, using non-polar solvents(benzene), or water as reference solvents, for systems with solute melting points in the range of 306–528 K and molecular weights in the range of 90–442 g/mol. New empirical estimation methods for the Δ_(fus)C_(pi) of APIs are presented which correlate the solute molecular masses and van der Waals surface areas with Δ_(fus)C_(pi). Separate empirical parameters were required for oxygenated and non-oxygenated solutes. Subsequently, the predictive capabilities of the various approaches to solubility modelling for complex pharmaceuticals,for which data is limited, are analysed. The solute selection is based on a principal component analysis, considering molecular weights, fusion temperatures, and solubilities in a non-polar solvent, alcohol, and water, where data was available. New NRTL-SAC parameters were determined for selected steroids, by regression. The original UNIFAC, modified UNIFAC(Dortmund), COSMO-RS(OL), and COSMO-SAC activity coefficient predictions are then conducted, based on the availability of group constants and sigma profiles. These are undertaken to assess the predictive capabilities of these models when each assumption concerning heat capacity is employed. The predictive qualities of the models are assessed, based on the mean square deviation and provide guidelines for model selection, and assumptions concerning phase equilibrium, when designing solid–liquid separators for the pharmaceutical industry on process simulation software. The most suitable assumption regarding Δ_(fus)C_(pi) was found to be system specific, with modified UNIFAC(Dortmund) performing well in benzene as a solvent system, while original UNIFAC performs better in aqueous systems.Original UNIFAC outperforms other predictive models tested in the triterpene/steroidal systems,with no significant influence from the assumptions regarding Δ_(fus)C_(pi).展开更多
Multiple emulsions are of great therapeutic interest especially in the administration of medicines which can be inactivated by digestive enzymes;moreover the researches of formulation not being often easy, a control o...Multiple emulsions are of great therapeutic interest especially in the administration of medicines which can be inactivated by digestive enzymes;moreover the researches of formulation not being often easy, a control of the different phases physicochemical parameters would be of great interest in rapid formulations and at low cost. When formulating emulsions, the preliminary tests, also known as formulation tests, constitute a step which can be long and expensive because of the quantity of reagents that can be used. A rigorous methodology could thus be of great interest, which is at the aim of our study which consists of evaluating the physico-chemical parameters of different phases used to make thus multiple emulsions. In our study, physico-chemical parameters such as conductivity, pH, density, viscosity, and surface tension have been studied by direct measurement using equipment and also by means of suitable mounting. The results showed that the pH and the surface tension have an important role in the prediction of the stability of emulsions, these latter must be of the same order of magnitude. For all phases conductivity does not have too much interest apart from helping to determine the type of the emulsion.展开更多
Objective To analyze the problems of API export in China and to study the current international and domestic trading environment. Methods Data statistical analysis was used to study the export situation of APIs, and P...Objective To analyze the problems of API export in China and to study the current international and domestic trading environment. Methods Data statistical analysis was used to study the export situation of APIs, and PEST was applied to analyze the current export problems. Results and Conclusion API export in China is now experiencing a growth period and the international trading environment is constantly improving.展开更多
In the development of new drugs products,especially the development of traditional Chinese medicine active ingredients,solubility and oral bioavailability are the main factors which are restricting the development of ...In the development of new drugs products,especially the development of traditional Chinese medicine active ingredients,solubility and oral bioavailability are the main factors which are restricting the development of new drugs,whereas the physicochemical properties of active ingredients are the key element to affecting these factors.Pharmaceutical cocrystal provides an excellent opportunity to develop new drugs with excellent physical and chemical properties such as melting point,solubility,stability and bioavailability while retaining the pharmacological properties of individuals active pharmaceutical ingredients among pharmaceutical cocrystal compounds.Traditional Chinese herbal medicine has the characteristics of multiple pathways and multiple targets,mainly because it contains many active ingredients,like cocrystals thereof with many components.The active ingredients extracted from traditional Chinese herbal medicine have a wide range of pharmacological activities,but most of the active ingredients affect the development of traditional Chinese medicine active ingredients due to their physical and chemical properties such as solubility.Traditional Chinese medicine pharmaceutical cocrystals can not only improve the physical and chemical properties of drugs without changing the internal structure of drugs,so as to provide a new scheme for the development of traditional Chinese medicine active ingredients.This paper reviews the research progress of active ingredients of traditional Chinese medicine pharmaceutical cocrystal.The preparation methods of cocrystals are summarized and the advantages of cocrystals are illustrated with examples.展开更多
Biological treatment efficiency of six pharmaceutical compounds (acetazolamide, metronidazole, opipramol, piracetam, salicylamide and tinidazole) was evaluated using lab-scale Sequencing Batch Reactor (SBR). Compa...Biological treatment efficiency of six pharmaceutical compounds (acetazolamide, metronidazole, opipramol, piracetam, salicylamide and tinidazole) was evaluated using lab-scale Sequencing Batch Reactor (SBR). Comparative biological degradation processes of two types of activated sludge from municipal and pharmaceutical industry sewage treatment plants were examined. Three different organic loadings (0.05 g COD/g MLSS.d, 0.1 g COD/g MLSS.d and 0.2 g COD/g MLSS-d) and reaction time on the efficiency of Active Pharmaceutical Ingredient (API) decomposition were examined. Chemical oxygen demand, non-purgeable organic carbon as well as ammonium nitrogen contents were monitored by standard methods. Percentage of API decomposition was analysed by High Performance Liquid Chromatography (HPLC). The overall API removal efficiency was strictly dependent on the type of activated sludge origin. The main biodegradation products were identified using HPLC-MS,1H NMR and 13C NMR methods as e.g. ({4-[3-(5H-dibenzo[b,f]azepin-5-yl]piperazin-l-yl}methanamine) and (2-amino-1,3,4-thiadiazol-5-sulfonamide) for opipramol and acetazolamide respectively.展开更多
Biological solubility is one of the important basic parameters in the development process of poorly soluble drugs,but the current measurement methods are mainly based on a large number of experiments,which are time-co...Biological solubility is one of the important basic parameters in the development process of poorly soluble drugs,but the current measurement methods are mainly based on a large number of experiments,which are time-consuming and cost-intensive.There is still a lack of effective theoretical models to accurately describe and predict the biological solubility of drugs to reduce costs.Therefore,in this study,osaprazole and irbesartan were selected as model drugs,and their solubility in solutions containing surfactants and biorelevant media was measured experimentally.By calculating the parameters of each component using the perturbed-chain statistical associating fluid theory(PC-SAFT)model,combined with pH-dependent and micellar solubilization models,the thermodynamic phase behavior of the two drugs was successfully modeled,and the predicted results were in good agreement with the experimental values.These results demonstrate that the model combination used provides important basic parameters and theoretical guidance for the development and screening of poorly soluble drugs and related formulations.展开更多
基金supported by the National Research Foundation of South Africa under the South African Research Chair Initiative of the Department of Science and Technology and the National Research Foundation Research and Innovation Support and Advancement (RISA) program
文摘The assumptions and models for solubility modelling or prediction in systems using nonpolar solvents, or water and complex triterpene and other active pharmaceutical ingredients as solutes aren't well studied. Furthermore, the assumptions concerning heat capacity effects(negligibility, experimental values or approximations) are explored, using non-polar solvents(benzene), or water as reference solvents, for systems with solute melting points in the range of 306–528 K and molecular weights in the range of 90–442 g/mol. New empirical estimation methods for the Δ_(fus)C_(pi) of APIs are presented which correlate the solute molecular masses and van der Waals surface areas with Δ_(fus)C_(pi). Separate empirical parameters were required for oxygenated and non-oxygenated solutes. Subsequently, the predictive capabilities of the various approaches to solubility modelling for complex pharmaceuticals,for which data is limited, are analysed. The solute selection is based on a principal component analysis, considering molecular weights, fusion temperatures, and solubilities in a non-polar solvent, alcohol, and water, where data was available. New NRTL-SAC parameters were determined for selected steroids, by regression. The original UNIFAC, modified UNIFAC(Dortmund), COSMO-RS(OL), and COSMO-SAC activity coefficient predictions are then conducted, based on the availability of group constants and sigma profiles. These are undertaken to assess the predictive capabilities of these models when each assumption concerning heat capacity is employed. The predictive qualities of the models are assessed, based on the mean square deviation and provide guidelines for model selection, and assumptions concerning phase equilibrium, when designing solid–liquid separators for the pharmaceutical industry on process simulation software. The most suitable assumption regarding Δ_(fus)C_(pi) was found to be system specific, with modified UNIFAC(Dortmund) performing well in benzene as a solvent system, while original UNIFAC performs better in aqueous systems.Original UNIFAC outperforms other predictive models tested in the triterpene/steroidal systems,with no significant influence from the assumptions regarding Δ_(fus)C_(pi).
文摘Multiple emulsions are of great therapeutic interest especially in the administration of medicines which can be inactivated by digestive enzymes;moreover the researches of formulation not being often easy, a control of the different phases physicochemical parameters would be of great interest in rapid formulations and at low cost. When formulating emulsions, the preliminary tests, also known as formulation tests, constitute a step which can be long and expensive because of the quantity of reagents that can be used. A rigorous methodology could thus be of great interest, which is at the aim of our study which consists of evaluating the physico-chemical parameters of different phases used to make thus multiple emulsions. In our study, physico-chemical parameters such as conductivity, pH, density, viscosity, and surface tension have been studied by direct measurement using equipment and also by means of suitable mounting. The results showed that the pH and the surface tension have an important role in the prediction of the stability of emulsions, these latter must be of the same order of magnitude. For all phases conductivity does not have too much interest apart from helping to determine the type of the emulsion.
文摘Objective To analyze the problems of API export in China and to study the current international and domestic trading environment. Methods Data statistical analysis was used to study the export situation of APIs, and PEST was applied to analyze the current export problems. Results and Conclusion API export in China is now experiencing a growth period and the international trading environment is constantly improving.
基金The National Natural Science Foundation of China(No.81973977,No.81273872)the Fundamental Research Funds for the Central Universities(2021JCXK02)supported this study.
文摘In the development of new drugs products,especially the development of traditional Chinese medicine active ingredients,solubility and oral bioavailability are the main factors which are restricting the development of new drugs,whereas the physicochemical properties of active ingredients are the key element to affecting these factors.Pharmaceutical cocrystal provides an excellent opportunity to develop new drugs with excellent physical and chemical properties such as melting point,solubility,stability and bioavailability while retaining the pharmacological properties of individuals active pharmaceutical ingredients among pharmaceutical cocrystal compounds.Traditional Chinese herbal medicine has the characteristics of multiple pathways and multiple targets,mainly because it contains many active ingredients,like cocrystals thereof with many components.The active ingredients extracted from traditional Chinese herbal medicine have a wide range of pharmacological activities,but most of the active ingredients affect the development of traditional Chinese medicine active ingredients due to their physical and chemical properties such as solubility.Traditional Chinese medicine pharmaceutical cocrystals can not only improve the physical and chemical properties of drugs without changing the internal structure of drugs,so as to provide a new scheme for the development of traditional Chinese medicine active ingredients.This paper reviews the research progress of active ingredients of traditional Chinese medicine pharmaceutical cocrystal.The preparation methods of cocrystals are summarized and the advantages of cocrystals are illustrated with examples.
文摘Biological treatment efficiency of six pharmaceutical compounds (acetazolamide, metronidazole, opipramol, piracetam, salicylamide and tinidazole) was evaluated using lab-scale Sequencing Batch Reactor (SBR). Comparative biological degradation processes of two types of activated sludge from municipal and pharmaceutical industry sewage treatment plants were examined. Three different organic loadings (0.05 g COD/g MLSS.d, 0.1 g COD/g MLSS.d and 0.2 g COD/g MLSS-d) and reaction time on the efficiency of Active Pharmaceutical Ingredient (API) decomposition were examined. Chemical oxygen demand, non-purgeable organic carbon as well as ammonium nitrogen contents were monitored by standard methods. Percentage of API decomposition was analysed by High Performance Liquid Chromatography (HPLC). The overall API removal efficiency was strictly dependent on the type of activated sludge origin. The main biodegradation products were identified using HPLC-MS,1H NMR and 13C NMR methods as e.g. ({4-[3-(5H-dibenzo[b,f]azepin-5-yl]piperazin-l-yl}methanamine) and (2-amino-1,3,4-thiadiazol-5-sulfonamide) for opipramol and acetazolamide respectively.
基金the financial support from the National Natural Science Foundation of China(22278070,21978047,21776046)。
文摘Biological solubility is one of the important basic parameters in the development process of poorly soluble drugs,but the current measurement methods are mainly based on a large number of experiments,which are time-consuming and cost-intensive.There is still a lack of effective theoretical models to accurately describe and predict the biological solubility of drugs to reduce costs.Therefore,in this study,osaprazole and irbesartan were selected as model drugs,and their solubility in solutions containing surfactants and biorelevant media was measured experimentally.By calculating the parameters of each component using the perturbed-chain statistical associating fluid theory(PC-SAFT)model,combined with pH-dependent and micellar solubilization models,the thermodynamic phase behavior of the two drugs was successfully modeled,and the predicted results were in good agreement with the experimental values.These results demonstrate that the model combination used provides important basic parameters and theoretical guidance for the development and screening of poorly soluble drugs and related formulations.