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Journal articles on the topic 'Intrinsic solubility'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Dezani, André Bersani, Thaisa Marinho Pereira, Arthur Massabki Caffaro, Juliana Mazza Reis, and Cristina Helena dos Reis Serra. "Equilibrium solubility versus intrinsic dissolution: characterization of lamivudine, stavudine and zidovudine for BCS classification." Brazilian Journal of Pharmaceutical Sciences 49, no. 4 (December 2013): 853–63. http://dx.doi.org/10.1590/s1984-82502013000400026.

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Solubility and dissolution rate of drugs are of major importance in pre-formulation studies of pharmaceutical dosage forms. The solubility improvement allows the drugs to be potential biowaiver candidates and may be a good way to develop more dose-efficient formulations. Solubility behaviour of lamivudine, stavudine and zidovudine in individual solvents (under pH range of 1.2 to 7.5) was studied by equilibrium solubility and intrinsic dissolution methods. In solubility study by equilibrium method (shake-flask technique), known amounts of drug were added in each media until to reach saturation and the mixture was subjected to agitation of 150 rpm for 72 hours at 37 ºC. In intrinsic dissolution test, known amount of each drug was compressed in the matrix of Wood's apparatus and subjected to dissolution in each media with agitation of 50 rpm at 37 ºC. In solubility by equilibrium method, lamivudine and zidovudine can be considered as highly soluble drugs. Although stavudine present high solubility in pH 4.5, 6.8, 7.5 and water, the solubility determination in pH 1.2 was not possible due stability problems. Regarding to intrinsic dissolution, lamivudine and stavudine present high speed of dissolution. Considering a boundary value presented by Yu and colleagues (2004), all drugs studied present high solubility characteristics in intrinsic dissolution method. Based on the obtained results, intrinsic dissolution seems to be superior for solubility studies as an alternative method for biopharmaceutical classification purposes.

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2

Istratov, A. A., P. Zhang, R. J. McDonald, A. R. Smith, M. Seacrist, J. Moreland, J. Shen, R. Wahlich, and E. R. Weber. "Nickel solubility in intrinsic and doped silicon." Journal of Applied Physics 97, no. 2 (January 15, 2005): 023505. http://dx.doi.org/10.1063/1.1836852.

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3

Han, Kyong Ho, Gil Song Jeon, In Kwon Hong, and Seung Bum Lee. "Prediction of solubility parameter from intrinsic viscosity." Journal of Industrial and Engineering Chemistry 19, no. 4 (July 2013): 1130–36. http://dx.doi.org/10.1016/j.jiec.2012.12.009.

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4

Llinàs, Antonio, Jonathan C. Burley, Karl J. Box, Robert C. Glen, and Jonathan M. Goodman. "Diclofenac Solubility: Independent Determination of the Intrinsic Solubility of Three Crystal Forms." Journal of Medicinal Chemistry 50, no. 5 (March 2007): 979–83. http://dx.doi.org/10.1021/jm0612970.

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5

Palmer, David S., Antonio Llinàs, Iñaki Morao, Graeme M. Day, Jonathan M. Goodman, Robert C. Glen, and John B. O. Mitchell. "Predicting Intrinsic Aqueous Solubility by a Thermodynamic Cycle." Molecular Pharmaceutics 5, no. 2 (February 22, 2008): 266–79. http://dx.doi.org/10.1021/mp7000878.

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6

Raevsky, Oleg A., Veniamin Y. Grigorev, Daniel E. Polianczyk, Olga E. Raevskaja, and John C. Dearden. "Aqueous Drug Solubility: What Do We Measure, Calculate and QSPR Predict?" Mini-Reviews in Medicinal Chemistry 19, no. 5 (February 21, 2019): 362–72. http://dx.doi.org/10.2174/1389557518666180727164417.

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Detailed critical analysis of publications devoted to QSPR of aqueous solubility is presented in the review with discussion of four types of aqueous solubility (three different thermodynamic solubilities with unknown solute structure, intrinsic solubility, solubility in physiological media at pH=7.4 and kinetic solubility), variety of molecular descriptors (from topological to quantum chemical), traditional statistical and machine learning methods as well as original QSPR models.

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7

Laihanen, Niina, Esa Muttonen, and Matti Laaksonen. "Solubility and Intrinsic Dissolution Rate of Alprazolam Crystal Modifications." Pharmaceutical Development and Technology 1, no. 4 (January 1996): 373–80. http://dx.doi.org/10.3109/10837459609031432.

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8

Zhou, Haoli, and Wanqin Jin. "Membranes with Intrinsic Micro-Porosity: Structure, Solubility, and Applications." Membranes 9, no. 1 (December 26, 2018): 3. http://dx.doi.org/10.3390/membranes9010003.

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Microporous polymer membranes have been widely studied because of their excellent separation performance. Among them, polymers of intrinsic micro-porosity (PIMs) have been regarded as a potential next-generation membrane material for their ultra-permeable characteristics and their solution-processing ability. Therefore, many reviews have been reported on gas separation and monomers for the preparation of PIMs. This review aims to provide an overview of the structure-solubility property. Different structures such as non-network and network macromolecular structure made of different monomers have been reviewed. Then their solubility with different structures and different separation applications such as nanofiltration, pervaporation, and gas/vapor separation are summarized. Lastly, we also provide our perspectives on the challenges and future directions of the microporous polymer membrane for the structure-property relationship, anti-physical aging, and more.

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9

Nainwal, Nidhi, Ranjit Singh, Sunil Jawla, and Vikas Anand Saharan. "The Solubility-Permeability Interplay for Solubility-Enabling Oral Formulations." Current Drug Targets 20, no. 14 (October 14, 2019): 1434–46. http://dx.doi.org/10.2174/1389450120666190717114521.

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The Biopharmaceutical classification system (BCS) classifies the drugs based on their intrinsic solubility and intestinal permeability. The drugs with good solubility and intestinal permeability have good bioavailability. The drugs with poor solubility and poor permeability have solubility dependent and permeability dependent bioavailability, respectively. In the current pharmaceutical field, most of the drugs have poor solubility. To solve the problem of poor solubility, various solubility enhancement approaches have been successfully used. The effects of these solubility enhancing approaches on the intestinal permeability of the drugs are a matter of concern, and must not be overlooked. The current review article focuses on the effect of various solubility enhancing approaches viz. cyclodextrin, surfactant, cosolvent, hydrotropes, and amorphous solid dispersion, on the intestinal permeability of drugs. This article will help in the designing of the optimized formulations having balanced solubility enhancement without affecting the permeability of drugs.

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10

Stanciu, Ioana. "Methods for Determining the Solubility Parameter of Additives for Lubricating Oils." Oriental Journal Of Chemistry 35, no. 4 (July 22, 2019): 1297–301. http://dx.doi.org/10.13005/ojc/350407.

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In this article I have been looking at the determination of the solubility parameter by two methods for an additive KELTAN 4200 used in lubricating oils. To determine the solubility parameter, it is necessary to know the intrinsic viscosities of the polymer in as many solvents with different solubility parameters. Determination of the partial and global solubility parameters was done, first, using the Hansen method, then by an improved method.

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11

Liang, Zhengxuan, Hongbo Chen, Chenguang Wang, and Changquan Calvin Sun. "Discovery, Characterization, and Pharmaceutical Applications of Two Loratadine–Oxalic Acid Cocrystals." Crystals 10, no. 11 (November 3, 2020): 996. http://dx.doi.org/10.3390/cryst10110996.

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Loratadine (Lor) is an antihistamine drug commonly used to relieve the symptoms of allergy. It has high permeability but low solubility under physiological conditions. To overcome the problem of low solubility, we synthesized and characterized two Loratadine multi-component crystalline phases with oxalic acid (Oxa), i.e., a 1:1 Lor-Oxa conjugate acid-base (CAB) cocrystal (Lor-Oxa CAB) and a 2:1 Lor-Oxa cocrystal monohydrate (Lor-Oxa hydrate). Both cocrystals exhibited an enhanced solubility and intrinsic dissolution rate (IDR) compared to Lor and adequate physical stability. The intrinsic dissolution rate of Lor-Oxa CAB is 95 times that of Lor, which makes it a promising candidate for tablet formulation development.

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12

Vasoya, Jaydip M., Ankita V. Shah, and Abu T. M. Serajuddin. "Investigation of possible solubility and dissolution advantages of cocrystals, I: Aqueous solubility and dissolution rates of ketoconazole and its cocrystals as functions of pH." ADMET and DMPK 7, no. 2 (April 3, 2019): 106–30. http://dx.doi.org/10.5599/admet.661.

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Since there are conflicting reports in the literature on solubility and dissolution advantages of cocrystals over free forms, we systematically studied solubility and intrinsic dissolution rates of a weakly basic drug, ketoconazole, and its cocrystals with fumaric acid and succinic acid as functions of pH to determine what advantages cocrystals provide. pH-solubility profiles were determined in two different ways: one by lowering pH of ketoconazole aqueous suspensions using HCl, fumaric acid and succinic acid, and the other by adjusting pH of cocrystal suspensions using respective coformer acids or NaOH. Similar pH-solubility profiles were obtained whether free base or cocrystals were used as starting materials to determine solubility. With the addition of fumaric and succinic acids to aqueous suspensions of free base to lower pH, the maximum solubility (pHmax) was reached at pH ~3.5-4.0, below which the solubility decreased and cocrystals formed. The solubility, however, continued increasing when HCl was added to ketoconazole suspension as no cocrystal or salt was formed. During determination of cocrystal solubility, a conversion to free base was observed when pH was raised above pHmax. Thus, pH-solubility profiles of cocrystals resembled solubility profiles commonly encountered with salts. Above pHmax, both free base and cocrystal had similar solubility under identical pH conditions; the solubility of cocrystal was higher only if the pH differed. In contrast, intrinsic dissolution rates of cocrystals at pH>pHmax under identical bulk pH were much higher than that of free ketoconazole since cocrystals had lower microenvironmental pH at the dissolving surface, where the solubility was high. Thus, cocrystals of basic drugs can potentially provide higher dissolution rates under intestinal pH conditions.

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13

Avdeef, Alex. "Prediction of aqueous intrinsic solubility of druglike molecules using Random Forest regression trained with Wiki-pS0 database." ADMET and DMPK 8, no. 1 (March 4, 2020): 29–77. http://dx.doi.org/10.5599/admet.766.

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The accurate prediction of solubility of drugs is still problematic. It was thought for a long time that shortfalls had been due the lack of high-quality solubility data from the chemical space of drugs. This study considers the quality of solubility data, particularly of ionizable drugs. A database is described, comprising 6355 entries of intrinsic solubility for 3014 different molecules, drawing on 1325 citations. In an earlier publication, many factors affecting the quality of the measurement had been discussed, and suggestions were offered to improve ways of extracting more reliable information from legacy data. Many of the suggestions have been implemented in this study. By correcting solubility for ionization (i.e., deriving intrinsic solubility, S0) and by normalizing temperature (by transforming measurements performed in the range 10-50 Â°C to 25 Â°C), it can now be estimated that the average interlaboratory reproducibility is 0.17 log unit. Empirical methods to predict solubility at best have hovered around the root mean square error (RMSE) of 0.6 log unit. Three prediction methods are compared here: (a) Yalkowskyâ€™s general solubility equation (GSE), (b) Abraham solvation equation (ABSOLV), and (c) Random Forest regression (RFR) statistical machine learning. The latter two methods were trained using the new database. The RFR method outperforms the other two models, as anticipated. However, the ability to predict the solubility of drugs to the level of the quality of data is still out of reach. The data quality is not the limiting factor in prediction. The statistical machine learning methodologies are probably up to the task. Possibly whatâ€™s missing are solubility data from a few sparsely-covered chemical space of drugs (particularly of research compounds). Also, new descriptors which can better differentiate the factors affecting solubility between molecules could be critical for narrowing the gap between the accuracy of the prediction models and that of the experimental data.

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14

Li, Hao, and Zhien Zhang. "Mining the intrinsic trends of CO2 solubility in blended solutions." Journal of CO2 Utilization 26 (July 2018): 496–502. http://dx.doi.org/10.1016/j.jcou.2018.06.008.

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15

Heintges, Gaël H. L., Koen H. Hendriks, Fallon J. M. Colberts, Mengmeng Li, Junyu Li, and René A. J. Janssen. "The influence of siloxane side-chains on the photovoltaic performance of a conjugated polymer." RSC Advances 9, no. 16 (2019): 8740–47. http://dx.doi.org/10.1039/c9ra00816k.

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16

Dubey, Poornima, and P. Gopinath. "Fabrication of electrospun poly(ethylene oxide)–poly(capro lactone) composite nanofibers for co-delivery of niclosamide and silver nanoparticles exhibits enhanced anti-cancer effects in vitro." Journal of Materials Chemistry B 4, no. 4 (2016): 726–42. http://dx.doi.org/10.1039/c5tb02351c.

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17

Zhou, Qi, Zhongchuan Tan, Desen Yang, Jiyuan Tu, Yezi Wang, Ying Zhang, Yanju Liu, and Guoping Gan. "Improving the Solubility of Aripiprazole by Multicomponent Crystallization." Crystals 11, no. 4 (March 28, 2021): 343. http://dx.doi.org/10.3390/cryst11040343.

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Aripiprazole (ARI) is a third-generation antipsychotic with few side effects but a poor solubility. Salt formation, as one common form of multicomponent crystals, is an effective strategy to improve pharmacokinetic profiles. In this work, a new ARI salt with adipic acid (ADI) and its acetone hemisolvate were obtained successfully, along with a known ARI salt with salicylic acid (SAL). Their comprehensive characterizations were conducted using X-ray diffraction and differential scanning calorimetry. The crystal structures of the ARI-ADI salt acetone hemisolvate and ARI-SAL salt were elucidated by single-crystal X-ray diffraction for the first time, demonstrating the proton transfer from a carboxyl group of acid to ARI piperazine. Theoretical calculations were also performed on weak interactions. Moreover, comparative studies on pharmaceutical properties, including powder hygroscopicity, stability, solubility, and the intrinsic dissolution rate, were carried out. The results indicated that the solubility and intrinsic dissolution rate of the ARI-ADI salt and its acetone hemisolvate significantly improved, clearly outperforming that of the ARI-SAL salt and the untreated ARI. The study presented one potential alternative salt of aripiprazole and provided a potential strategy to increase the solubility of poorly water-soluble drugs.

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18

Kong, Xiang Ping, Juan Wang, Chun Jie Wang, and Xia Wu. "Basicity, Water Solubility and Intrinsic Viscosity of Carboxymethyl Chitosan as a Biofunctional Material." Advanced Materials Research 531 (June 2012): 507–10. http://dx.doi.org/10.4028/www.scientific.net/amr.531.507.

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The basicity, water solubility, intrinsic viscosity and molecular weight of carboxymethyl chitosan (CM-chitosan) were investigated. The solution pH remained at about 9.2 at the concentration of higher than 2.0 g/L. The isoelectric point of CM-chitosan was about 4.5 of pH, and the solubility of CM-chitosan at the solution pH of 2.0 to 6.0 was lower than 5 g/L. The acetic acid could be replaced by hydrochloric acid as solvent for the viscosity-average molecular weight determination of chitosan. The intrinsic viscosity values of CM-chitosan have significant differences in acidic and alkaline conditions. The viscosity-average molecular weight of CM-chitosan was (3.8 ± 0.2) × 105, consistent with that of product chitosan of blank test.

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19

Shekunov, Boris, and Eda Ross Montgomery. "Theoretical Analysis of Drug Dissolution: I. Solubility and Intrinsic Dissolution Rate." Journal of Pharmaceutical Sciences 105, no. 9 (September 2016): 2685–97. http://dx.doi.org/10.1016/j.xphs.2015.12.006.

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20

Stuart, Martin, and Karl Box. "Chasing Equilibrium: Measuring the Intrinsic Solubility of Weak Acids and Bases." Analytical Chemistry 77, no. 4 (February 2005): 983–90. http://dx.doi.org/10.1021/ac048767n.

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21

Sousa, I. M. N., P. J. Morgan, J. R. Mitchell, S. E. Harding, and S. E. Hill. "Hydrodynamic Characterization of Lupin Proteins: Solubility, Intrinsic Viscosity, and Molar Mass." Journal of Agricultural and Food Chemistry 44, no. 10 (January 1996): 3018–21. http://dx.doi.org/10.1021/jf950516f.

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22

Grossjohann, Christine, Kevin S. Eccles, Anita R. Maguire, Simon E. Lawrence, Lidia Tajber, Owen I. Corrigan, and Anne Marie Healy. "Characterisation, solubility and intrinsic dissolution behaviour of benzamide: dibenzyl sulfoxide cocrystal." International Journal of Pharmaceutics 422, no. 1-2 (January 2012): 24–32. http://dx.doi.org/10.1016/j.ijpharm.2011.10.016.

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23

Skinner, M., and I. Kanfer. "Intrinsic dissolution rate and solubility studies on josamycin, a macrolide antibiotic." International Journal of Pharmaceutics 88, no. 1-3 (December 1992): 151–58. http://dx.doi.org/10.1016/0378-5173(92)90311-o.

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24

Song, Maojiang, Fei Yang, Caixia Su, and Bing Deng. "Characterizing hydrogen bonds in crystalline form of guanidinium salicylate in the terahertz range." RSC Advances 11, no. 1 (2021): 307–19. http://dx.doi.org/10.1039/d0ra08053e.

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25

Boulet, Marie H. C., Laura K. Marsh, Alison Howarth, Alice Woolman, and Nicola J. Farrer. "Oxaliplatin and [Pt(R,R-DACH)(panobinostat-2H)] show nanomolar cytotoxicity towards diffuse intrinsic pontine glioma (DIPG)." Dalton Transactions 49, no. 17 (2020): 5703–10. http://dx.doi.org/10.1039/c9dt04862f.

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Oxaliplatin and the platinum(ii) panobinostat complex (2) demonstrate nanomolar cytotoxicity towards diffuse intrinsic pontine glioma cells (DIPG); with 2 exhibiting improved solubility in comparison to panobinostat.

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26

Avdeef, Alex. "Multi-lab intrinsic solubility measurement reproducibility in CheqSol and shake-flask methods." ADMET and DMPK 7, no. 3 (August 4, 2019): 210–19. http://dx.doi.org/10.5599/admet.698.

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This commentary compares 233 CheqSol intrinsic solubility values (log S0) reported in the Wiki-pS0 database for 145 different druglike molecules to the 838 log S0 values determined mostly by the saturation shake-flask (SSF) method for 124 of the molecules from the CheqSol set. The range of log S0 spans from -1.0 to -10.6 (log molar units), averaging at -3.8. The correlation plot between the two methods indicates r2 = 0.96, RMSE = 0.34 log unit, and a slight bias of -0.07 log unit. The average interlaboratory standard deviation (SDi) is slightly better for the CheqSol set than that of the SSF set: SDiCS = 0.15 and SDiSSF = 0.24. The intralaboratory errors reported in the CheqSol method (0.05 log) need to be multiplied by a factor of 3 to match the expected interlaboratory errors for the method. The scale factor, in part, relates to the hidden systematic errors in the single-lab values. It is expected that improved standardizations in the ‘gold standard’ SSF method, as suggested in the recent ‘white paper’ on solubility measurement methodology, should make the SDi of both methods be about ~0.15 log unit. The multi-lab averaged log S0 (and the corresponding SDi) values could be helpful additions to existing training-set molecules used to predict the intrinsic solubility of drugs and druglike molecules.

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27

Johnson, Stephen R., Xue-Qing Chen, Denette Murphy, and Olafur Gudmundsson. "A Computational Model for the Prediction of Aqueous Solubility That Includes Crystal Packing, Intrinsic Solubility, and Ionization Effects." Molecular Pharmaceutics 4, no. 4 (August 2007): 513–23. http://dx.doi.org/10.1021/mp070030+.

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28

Ain, S., R. Singh, and Q. Ain. "CHARACTERIZATION AND INTRINSIC DISSOLUTION RATE STUDY OF MICROWAVE ASSISTED CYCLODEXTRIN INCLUSION COMPLEXES OF GEMFIBROZIL." International Journal of Pharmacy and Pharmaceutical Sciences 8, no. 10 (August 12, 2016): 160. http://dx.doi.org/10.22159/ijpps.2016v8i10.13359.

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<p><strong>Objective: </strong>The aim of the present study was to carry out characterization and intrinsic dissolution rate study of microwave assisted inclusion complex of poorly water soluble, lipid lowering agent gemfibrozil [5-(2,5-dimethylphenoxy)-2,2-dimethylpentanoic acid]<strong> </strong>with naturally occurring β-cyclodextrins (CDs) or cycloheptaamylase.</p><p><strong>Methods: </strong>In this work, the phase solubility study was performed to find the ratio of drug and cyclodextrin complexes. Inclusion complexes were prepared by kneading and the prepared complex was subjected to microwave drying and conventional drying techniques. The prepared complexes were evaluated by intrinsic dissolution rate studies and equilibrium solubility study. Further characterization was done by Fourier transform infrared spectroscopy (FTIR), differential scanning calorimetry (DSC) and X-ray powder diffractometry (DSC).</p><p><strong>Results: </strong>The phase solubility studies showed a linear A<sub>L</sub>-type diagram indicating the formation of inclusion complexes in 1:1 molar ratio β-CD-gemfibrozil complex with maximum stability constant of 148.88 M<sup>-1</sup>was selected for preparation of inclusion complex. The microwave dried product was identified as the inclusion complex with maximum IDR when compared to the conventional dried product.</p><p><strong>Conclusion: </strong>This study was concluded that the microwave drying is the most suitable of the previously occurring drying techniques. Since it showed the highest solubility and IDR value.</p>

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29

Xue, Wei, John N. R. Ruddick, and Pierre Kennepohl. "Solubilisation and chemical fixation of copper(ii) in micronized copper treated wood." Dalton Transactions 45, no. 9 (2016): 3679–86. http://dx.doi.org/10.1039/c5dt03159a.

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Wood preservatives using micronized particulate copper as the main active ingredient recently introduced in the USA have generated controversies due to their limited intrinsic solubility compared to the conventional soluble copper treatments.

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30

Palmer, David S., James L. McDonagh, John B. O. Mitchell, Tanja van Mourik, and Maxim V. Fedorov. "First-Principles Calculation of the Intrinsic Aqueous Solubility of Crystalline Druglike Molecules." Journal of Chemical Theory and Computation 8, no. 9 (August 9, 2012): 3322–37. http://dx.doi.org/10.1021/ct300345m.

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31

Vanhellemont, Jan, Piotr Śpiewak, and Koji Sueoka. "On the solubility and diffusivity of the intrinsic point defects in germanium." Journal of Applied Physics 101, no. 3 (February 2007): 036103. http://dx.doi.org/10.1063/1.2429718.

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32

Dumpala, Rama Mohana Rao, Manjulata Sahu, Brijlesh K. Nagar, Vaibhavi V. Raut, Naina H. Raje, Neetika Rawat, Jeyakumar Subbiah, Manoj Kumar Saxena, and Bhupendra S. Tomar. "Accountancy for intrinsic colloids on thorium solubility: The fractionation of soluble species and the characterization of solubility limiting phase." Chemosphere 269 (April 2021): 129327. http://dx.doi.org/10.1016/j.chemosphere.2020.129327.

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33

Shayanfar, Ali, Hamed Ghavimi, Hamed Hamishekar, and Abolghasem Jouyban. "Coamorphous Atorvastatin Calcium to Improve its Physicochemical and Pharmacokinetic Properties." Journal of Pharmacy & Pharmaceutical Sciences 16, no. 4 (October 1, 2013): 577. http://dx.doi.org/10.18433/j3xs4s.

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Purpose: Atorvastatin calcium (ATC) is classified as class II (low solubility and high permeability) compound according to the biopharmaceutical classification system. The amorphous form of ATC possesses higher solubility, dissolution rate, and bioavailability than its crystalline form. Coamorphous drug system is a new and emerging method to prepare stable amorphous forms, in this case leading to the improved stability of ATC in dissolution medium. Methods: In this study, coamorphous form of ATC and nicotinamide (ATC-NIC) was prepared from solvent evaporation method and characterized using differential scanning calorimetry (DSC), Fourier transform infrared spectroscopy (FT-IR) and powder X-ray diffraction (PXRD). The intrinsic dissolution rate and solubility of ATC-NIC were determined along with plasma concentrations of ATC using HPLC after oral dosing in rats. Results: The crystalline ATC was converted to coamorphous form revealing a molecular interaction between ATC and NIC. The intrinsic dissolution rate, solubility and plasma concentration of coamorphous ATC-NIC are higher than those of crystalline ATC. ATC-NIC coamorphous system showed greater solution stability than those reported in the literature for amorphous ATC. Conclusions: Coamorphous ATC-NIC has improved physicochemical and pharmacokinetic properties as compared to ATC. This article is open to POST-PUBLICATION REVIEW. Registered readers (see “For Readers”) may comment by clicking on ABSTRACT on the issue’s contents page.

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34

Awad, M. "Solution Properties of Combretum Glutinosum (Habeil) Gum." International Journal of Chemistry 7, no. 2 (August 12, 2015): 49. http://dx.doi.org/10.5539/ijc.v7n2p49.

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The solubility of Combretum glutinosum gum in distilled water ranged from 30 to 40% and gel fraction ranges between 60 to 70%. It was found that the gum solubility increased with increase the pH of solution. The reduced viscosity of Gum Habeil in distilled water was increased with decrease the concentration of gum solution, and this is the a behavior of ionic polysaccharide solutions, for that Huggins and Kraemer equations are incapable to derive the intrinsic viscosity value of aqueous gum solution. Some extrapolated equations such as Fouss, Schulz –Blaschke, Martin, Heller, and Fedors equations used to estimate the optimum model for measurement intrinsic viscosity of this type of gum. The influence of ion types and ionic strength on the viscosity of gum solutions were also determined. The effect of ionic strength on the intrinsic viscosity of Combretum glutinosum gum was used to determine the salt tolerance value and the chain stiffness parameters of this type of gum. This study exhibited that the values of chain stiffness parameter (B), and salt tolerance (S) of deacetylated gum in the range of 0.0574 to 0.0700, and0.083 to 0.101 dl× M1/2 / g respectively.

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35

Marcus, Yizhak. "On the solubility of non-ionic organic solutes in seawater." Pure and Applied Chemistry 87, no. 5 (May 1, 2015): 503–8. http://dx.doi.org/10.1515/pac-2014-0908.

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AbstractGiven the solubilities of non-ionic organic solutes in water, their solubilities in seawater are obtained by correlation expressions involving two descriptors for the constituent ions (or salts) of seawater and two descriptors of the solutes. The former are the standard partial molar volumes and the intrinsic molar volumes and the latter are the molar volume (the Le Bas variant of it) and either the Hildebrand solubility parameter δH or the Kamlet–Taft solvatochromic π*.

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36

Masuelli, Martin Alberto. "Study of Bovine Serum Albumin Solubility in Aqueous Solutions by Intrinsic Viscosity Measurements." Advances in Physical Chemistry 2013 (May 29, 2013): 1–8. http://dx.doi.org/10.1155/2013/360239.

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The behavior of bovine serum albumin (BSA) in water is scarcely studied, and the thermodynamic properties arising from the experimental measurements have not been reported. Intrinsic viscosity measurements are very useful in assessing the interaction between the solute and solvent. This work discussed in a simple determination of the enthalpy of BSA in aqueous solution when the concentration ranges from 0.2 to 36.71% wt. and the temperature from 35 to 40°C. The relationship between the concentration and intrinsic viscosity is determined according to the method of Huggins. The temperature increase reduces the ratio between inherent viscosity and concentration (ηi/c). This is reflected in the Van't Hoff curve. Furthermore, this work proposes hydrodynamic cohesion value as an indicator of the degree of affinity of protein with water and thermodynamic implications in conformational changes.

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37

Paladin, Lisanna, Damiano Piovesan, and Silvio C. E. Tosatto. "SODA: prediction of protein solubility from disorder and aggregation propensity." Nucleic Acids Research 45, W1 (May 13, 2017): W236—W240. http://dx.doi.org/10.1093/nar/gkx412.

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Abstract Solubility is an important, albeit not well understood, feature determining protein behavior. It is of paramount importance in protein engineering, where similar folded proteins may behave in very different ways in solution. Here we present SODA, a novel method to predict the changes of protein solubility based on several physico-chemical properties of the protein. SODA uses the propensity of the protein sequence to aggregate as well as intrinsic disorder, plus hydrophobicity and secondary structure preferences to estimate changes in solubility. It has been trained and benchmarked on two different datasets. The comparison to other recently published methods shows that SODA has state-of-the-art performance and is particularly well suited to predict mutations decreasing solubility. The method is fast, returning results for single mutations in seconds. A usage example estimating the full repertoire of mutations for a human germline antibody highlights several solubility hotspots on the surface. The web server, complete with RESTful interface and extensive help, can be accessed from URL: http://protein.bio.unipd.it/soda.

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Duque, Marcelo Dutra, Michele Georges Issa, Daniela Amaral Silva, Beatriz Ayumi Sakamoto Kakuda, Leticia Norma Carpentieri Rodrigues, Raimar Löbenberg, and Humberto Gomes Ferraz. "Intrinsic dissolution simulation of highly and poorly soluble drugs for BCS solubility classification." Dissolution Technologies 24, no. 4 (2017): 6–11. http://dx.doi.org/10.14227/dt240417p6.

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Blanchard, James, Jay O. Boyle, and Stan Van Wagenen. "Determination of the Partition Coefficients, Acid Dissociation Constants, and Intrinsic Solubility of Carbenoxolone." Journal of Pharmaceutical Sciences 77, no. 6 (June 1988): 548–52. http://dx.doi.org/10.1002/jps.2600770619.

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Louis, Bruno, Vijay K. Agrawal, and Padmakar V. Khadikar. "Prediction of intrinsic solubility of generic drugs using MLR, ANN and SVM analyses." European Journal of Medicinal Chemistry 45, no. 9 (September 2010): 4018–25. http://dx.doi.org/10.1016/j.ejmech.2010.05.059.

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Barbosa, Thúlio Wliandon Lemos, Rafaela M. S. Talmeli, Homero de O. Junior, Antônio C. Doriguetto, Magali B. de Araújo, and Rudy Bonfilio. "Solid state characterization, solubility, intrinsic dissolution and stability behavior of allopurinol hydrochloride salt." Drug Development and Industrial Pharmacy 47, no. 5 (May 4, 2021): 799–808. http://dx.doi.org/10.1080/03639045.2021.1934872.

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42

Takács-Novák, Krisztina, Dóra Tempfli, Dóra Csicsák, Gergely Völgyi, Enikő Borbás, Zsombor K. Nagy, and Bálint Sinkó. "Solubility analysis of venlafaxine hydrochloride polymorphs by shake-flask method and real time monitoring." Acta Pharmaceutica Hungarica 89, no. 2 (August 1, 2019): 88–96. http://dx.doi.org/10.33892/aph.2019.89.88-96.

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Aims: The aqueous solubility of two polymorphic forms of venlafaxine hydrochloride was investigated. Methods: The pH-dependent solubility (SpH) over a wide pH range was measured by saturation shake-flask (SSF) method at 25 °C. The solubility of the free base form was depicted by the intrinsic solubility (So). To identify the solid form present at the solubility equilibrium, X-ray powder diffraction (XRPD) and Raman spectroscopy was carried out. The dissolution was studied using real time concentration monitoring applying fiber optic UV probes. Results: No difference was found in the SpH values of Form I and Form II, in the pH range 7.5-12. Solid phase isolated from pH 10-12 suspensions was identified as free base by XRPD and Raman spectroscopy. Precipitates separated from pH 7-8 samples were also identical product. The transition of polymorphs to the free base was supported by the real time dissolution analysis. Conclusion: In this study we demonstrated a good agreement of equilibrium solubility measured by SSF method and in-situ UV fiber optic method. µDISS ProfilerTM has the advantage to provide much more information about dissolution process; with this approach the dissolution kinetic, the supersaturation and the time needed to reach the equilibrium can be easily monitored.

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Kfoury, Miriana, David Landy, Lizette Auezova, Hélène Greige-Gerges, and Sophie Fourmentin. "Effect of cyclodextrin complexation on phenylpropanoids’ solubility and antioxidant activity." Beilstein Journal of Organic Chemistry 10 (October 6, 2014): 2322–31. http://dx.doi.org/10.3762/bjoc.10.241.

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The complexation abilities of five cyclodextrins (CDs) with seven phenylpropanoids (PPs) were evaluated by UV–visible spectroscopy, phase solubility studies and molecular modeling. Formation constants (K f), complexation efficiency (CE), PP:CD molar ratio, increase in formulation bulk and complexation energy were assessed. All complexes exhibited a 1:1 stoichiometry but their stability was influenced by the nature and the position of the phenyl ring substituents. A relationship between the intrinsic solubility of guests (S 0) and the solubilizing potential of CD was proposed. Molecular modeling was used to investigate the complementarities between host and guest. Finally, the antioxidant activity of encapsulated PPs was evaluated by scavenging of the stable DPPH radical.

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Avdeef, Alex, Elisabet Fuguet, Antonio Llinàs, Clara Ràfols, Elisabeth Bosch, Gergely Völgyi, Tatjana Verbić, Elena Boldyreva, and Krisztina Takács-Novák. "Equilibrium solubility measurement of ionizable drugs – consensus recommendations for improving data quality." ADMET and DMPK 4, no. 2 (June 29, 2016): 117. http://dx.doi.org/10.5599/admet.4.2.292.

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<p class="ADMETabstracttext">This commentary addresses data quality in equilibrium solubility measurement in aqueous solution. Broadly discussed is the “gold standard” shake-flask (SF) method used to measure equilibrium solubility of ionizable drug-like molecules as a function of pH. Many factors affecting the quality of the measurement are recognized. Case studies illustrating the analysis of both solution and solid state aspects of solubility measurement are presented. Coverage includes drug aggregation in solution (sub-micellar, micellar, complexation), use of mass spectrometry to assess aggregation in saturated solutions, solid state characterization (salts, polymorphs, cocrystals, polymorph creation by potentiometric method), solubility type (water, buffer, intrinsic), temperature, ionic strength, pH measurement, buffer issues, critical knowledge of the pK<sub>a</sub>, equilibration time (stirring and sedimentation), separating solid from saturated solution, solution handling and adsorption to untreated surfaces, solubility units, and tabulation/graphic presentation of reported data. The goal is to present cohesive recommendations that could lead to better assay design, to result in improved quality of measurements, and to impart a deeper understanding of the underlying solution chemistry in suspensions of drug solids.</p>

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Tosca, Elena M., Roberta Bartolucci, and Paolo Magni. "Application of Artificial Neural Networks to Predict the Intrinsic Solubility of Drug-Like Molecules." Pharmaceutics 13, no. 7 (July 20, 2021): 1101. http://dx.doi.org/10.3390/pharmaceutics13071101.

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Machine learning (ML) approaches are receiving increasing attention from pharmaceutical companies and regulatory agencies, given their ability to mine knowledge from available data. In drug discovery, for example, they are employed in quantitative structure–property relationship (QSPR) models to predict biological properties from the chemical structure of a drug molecule. In this paper, following the Second Solubility Challenge (SC-2), a QSPR model based on artificial neural networks (ANNs) was built to predict the intrinsic solubility (logS0) of the 100-compound low-variance tight set and the 32-compound high-variance loose set provided by SC-2 as test datasets. First, a training dataset of 270 drug-like molecules with logS0 value experimentally determined was gathered from the literature. Then, a standard three-layer feed-forward neural network was defined by using 10 ChemGPS physico-chemical descriptors as input features. The developed ANN showed adequate predictive performances on both of the SC-2 test datasets. Benefits and limitations of ML approaches have been highlighted and discussed, starting from this case-study. The main findings confirmed that ML approaches are an attractive and promising tool to predict logS0; however, many aspects, such as data quality, molecular descriptor computation and selection, and assessment of applicability domain, are crucial but often neglected, and should be carefully considered to improve predictions based on ML.

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Vecchi, Giulia, Pietro Sormanni, Benedetta Mannini, Andrea Vandelli, Gian Gaetano Tartaglia, Christopher M. Dobson, F. Ulrich Hartl, and Michele Vendruscolo. "Proteome-wide observation of the phenomenon of life on the edge of solubility." Proceedings of the National Academy of Sciences 117, no. 2 (December 31, 2019): 1015–20. http://dx.doi.org/10.1073/pnas.1910444117.

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To function effectively proteins must avoid aberrant aggregation, and hence they are expected to be expressed at concentrations safely below their solubility limits. By analyzing proteome-wide mass spectrometry data of Caenorhabditis elegans, however, we show that the levels of about three-quarters of the nearly 4,000 proteins analyzed in adult animals are close to their intrinsic solubility limits, indeed exceeding them by about 10% on average. We next asked how aging and functional self-assembly influence these solubility limits. We found that despite the fact that the total quantity of proteins within the cellular environment remains approximately constant during aging, protein aggregation sharply increases between days 6 and 12 of adulthood, after the worms have reproduced, as individual proteins lose their stoichiometric balances and the cellular machinery that maintains solubility undergoes functional decline. These findings reveal that these proteins are highly prone to undergoing concentration-dependent phase separation, which on aging is rationalized in a decrease of their effective solubilities, in particular for proteins associated with translation, growth, reproduction, and the chaperone system.

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Zhang, Yu, Min Min Fu, Fu Sheng Liu, and Shi Tao Yu. "Preparation and Flocculating Performance of P (AM-DAC-AANa) Copolymer." Applied Mechanics and Materials 448-453 (October 2013): 818–22. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.818.

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Amphoteric ionic polyacrylamide P (AM-DAC-AANa) was prepared in aqueous solution using acrylamide (AM), 2-(acryloyloxy) ethyltrimethylammonium chloride (DAC) and sodium acrylate (AANa) as materials by photo assisted initiation. The influences of reaction conditions on intrinsic viscosity and solubility of product were studied. Under the conditions of initiation temperature 20°C, monomer concentration 32%, pH=6 and initiator concentration 0.010%, the intrinsic viscosity and dissolving time of polymer were 13.56dL/g and 66min respectively. Moreover, the flocculating performance of the obtained copolymer was also studied. The results showed that under the conditions of P(AM-DAC-AANa) dosage 0.0250%, intrinsic viscosity 12.13dL·g-1, ionic degree 25%, m (DAC):m (AANa)=1:2, the transmittance of the supernatant, flocculating rate and dewatering rate were 93.90%, 84.47% and 92.41% respectively.

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Tsinman, Konstantin, Alex Avdeef, Oksana Tsinman, and Dmytro Voloboy. "Powder Dissolution Method for Estimating Rotating Disk Intrinsic Dissolution Rates of Low Solubility Drugs." Pharmaceutical Research 26, no. 9 (June 19, 2009): 2093–100. http://dx.doi.org/10.1007/s11095-009-9921-3.

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Bustamante, Pilar, Javier Navarro-Lupión, and Begoña Escalera. "A new method to determine the partial solubility parameters of polymers from intrinsic viscosity." European Journal of Pharmaceutical Sciences 24, no. 2-3 (February 2005): 229–37. http://dx.doi.org/10.1016/j.ejps.2004.10.012.

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VILARINHO, Ana Cristina Sousa Gramoza, José Lamartine SOARES SOBRINHO, Monica Felts de La Roca OARES, and Livio Cesar Cunha NUNES. "CHARACTERIZATION OF DRUG ANTIRETROVIRAL EFAVIRENZ FROM THE METHOD OF INTRINSIC DISSOLUTION." Periódico Tchê Química 10, no. 19 (January 20, 2013): 81–86. http://dx.doi.org/10.52571/ptq.v10.n19.2013.81_periodico19_pgs_81_86.pdf.

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The intrinsic dissolution is a test which has been used for many years for the characterization of solid drug. This study aimed to characterize the antiretroviral drug efavirenz from the intrinsic dissolution and compared to the biopharmaceutical classification system (BCS). Initially, was prepared a calibration curve with 5 points read at wavelength of 247 nm in order to analyze the concentration of the samples. For the formation of the tablet was used 20 mg of the drug under pressure of 2 tons for 1 minute. Then, the test was carried out intrinsic dissolution in the middle sodium lauryl sulphate 0.5% at 37 ° C under agitation of 50 rpm. By analyzing the data obtained, it was observed that the calibration curve was linear with r = 0.9998. Regarding the intrinsic dissolution rate (VDI), this was equal to 0.0058 mg/ml/min corroborating the SBC is a drug of low water solubility. Thus, by having more controlled conditions the intrinsic dissolution has become evidence for the purpose of being employed in the SBC and is used for characterization of pharmaceuticals.

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