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Dissolution is an important preceding step for the absorption of drugs in class II of the Biopharmaceutics Classification System (BCS) resulting in poor bioavailability. This current study was directed at determining the outcome of in situ micronization technique on the dissolution and solubility profiles of paracetamol. Six formulations of paracetamol microcrystals were produced by the solvent change method using HPMC and PVP K30 as stabilizing agents. The solubility, percentage drug content, and dissolution patterns of the produced microcrystals were all tested. The study disclosed that paracetamol solubility was increased up to 5-fold in the PVP K30 stabilized paracetamol microcrystal and a 4.5-fold increase for HPMC stabilized paracetamol microcrystal. The time course of dissolution was improved significantly from 0.6%/min for plain paracetamol to 1.1%/min and 1.2%/min for HPMC and PVP K30 stabilized paracetamol microcrystal respectively. Formulation P6, with 0.08 g of PVP K30 as stabilizing agents and an anti-solvent to solvent ratio of 1:6 was the optimized formulation having a 5-fold solubility increase, 98.3% content of active and 95.32% drug release in 60 minutes. The solvent change strategy of the in situ micronization technique could be used for the augmentation of solubility and dissolution of paracetamol.
Top position in search results not only depends on how popular content you have but also how your website is designed.
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In a broader mathematical or computational perspective, an optimization problem is defined as a problem of finding the best solution from all feasible solutions. In terms of Machine Learning and…
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S. Volke, S. Bin, D. Zeckzer, M. Middendorf, и G. Scheuermann. Recent Advances in the Theory and Application of Fitness Landscapes, том 6 из Emergence, Complexity and Computation, Springer Berlin Heidelberg, (2014)
T. van Rozendaal, G. Sautière, и T. Cohen. (2020)cite arxiv:2005.04064Comment: Accepted as a CVPR 2020 workshop paper: Workshop and Challenge on Learned Image Compression (CLIC).
S. Dughmi. (2009)cite arxiv:0912.0322Comment: This revision corrects an error in definition 2.2, as well as provides additional intuition regarding the definitions of convex closure and concave closure.
M. Züfle. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Master Thesis, (октября 2017)<b>Würzburg Software Engineering Award sponsored by infosim</b>.
S. Herrnleben. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Master Thesis, (Oktober 2017)<b>Best Master Thesis Award 2018 of GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (MMB)</b>.
M. Wilhelm. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Bachelor Thesis, (июня 2017)<b>Würzburg Software Engineering Award sponsored by Bosch Rexroth</b>.
M. Wilhelm. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Bachelor Thesis, (июня 2017)<b>Würzburg Software Engineering Award sponsored by Bosch Rexroth</b>.
S. Herrnleben. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Master Thesis, (Oktober 2017)<b>Best Master Thesis Award 2018 of GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (MMB)</b>.
S. Herrnleben. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Master Thesis, (Oktober 2017)<b>Best Master Thesis Award 2018 of GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (MMB)</b>.
M. Züfle. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Master Thesis, (октября 2017)<b>Würzburg Software Engineering Award sponsored by infosim</b>.
M. Züfle. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Master Thesis, (октября 2017)<b>Würzburg Software Engineering Award sponsored by infosim</b>.
C. Chu, K. Minami, и K. Fukumizu. (2020)cite arxiv:2004.01822Comment: ICLR 2020, Workshop on Integration of Deep Neural Models and Differential Equations.
V. Lesch, C. Krupitzer, и S. Tomforde. Proceedings of the 7th edition in the Series on Autonomously Learning and Optimising Systems (SAOS), co-located with 32nd GI/ITG ARCS 2019, Gesellschaft fuer Informatik (GI), (мая 2019)
V. Lesch, C. Krupitzer, и S. Tomforde. Proceedings of the 7th edition in the Series on Autonomously Learning and Optimising Systems (SAOS), co-located with 32nd GI/ITG ARCS 2019, Gesellschaft fuer Informatik (GI), (мая 2019)
S. Herrnleben. (февраля 2018)<b>Invited Talk for Best Master Thesis Award 2018 of GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (MMB).</b>.
L. Iffländer, и N. Fella. Companion of the 2019 ACM/SPEC International Conference on Performance Engineering, стр. 45--46. New York, NY, USA, ACM, (2019)
A. Bauer, S. Eismann, J. Grohmann, N. Herbst, и S. Kounev. 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W), стр. 120--125. Los Alamitos, CA, USA, IEEE Computer Society, (июня 2019)
A. Bauer, S. Eismann, J. Grohmann, N. Herbst, и S. Kounev. 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W), стр. 120--125. Los Alamitos, CA, USA, IEEE Computer Society, (июня 2019)
A. Bauer, S. Eismann, J. Grohmann, N. Herbst, и S. Kounev. 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W), стр. 120--125. Los Alamitos, CA, USA, IEEE Computer Society, (июня 2019)
A. Bauer, S. Eismann, J. Grohmann, N. Herbst, и S. Kounev. 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W), стр. 120--125. Los Alamitos, CA, USA, IEEE Computer Society, (июня 2019)
A. Bauer, S. Eismann, J. Grohmann, N. Herbst, и S. Kounev. 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W), стр. 120--125. Los Alamitos, CA, USA, IEEE Computer Society, (июня 2019)