Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Srikanth R. Gopireddy"'
Autor:
Diana Kreitmayer, Srikanth R. Gopireddy, Tomomi Matsuura, Yuichi Aki, Yuta Katayama, Taihei Sawada, Hirofumi Kakihara, Koichi Nonaka, Thomas Profitlich, Nora A. Urbanetz, Eva Gutheil
Publikováno v:
Bioengineering, Vol 9, Iss 5, p 206 (2022)
Two-way Euler-Lagrange simulations are performed to characterize the hydrodynamics in the single-use bioreactor Mobius® CellReady 3 L. The hydrodynamics in stirred tank bioreactors are frequently modeled with the Euler–Euler approach, which cannot
Externí odkaz:
https://doaj.org/article/6aa4572d7b5e46ac9d185bebb6862002
Autor:
Tigran Kharatyan, Srikanth R. Gopireddy, Toru Ogawa, Tatsuhiro Kodama, Norihiro Nishimoto, Sayaka Osada, Regina Scherließ, Nora A. Urbanetz
Publikováno v:
Pharmaceutics, Vol 14, Iss 6, p 1176 (2022)
Supercooling during the freezing of pharmaceutical solutions often leads to suboptimal freeze-drying results, such as long primary drying times or a collapse in the cake structure. Thermal treatment of the frozen solution, known as annealing, can imp
Externí odkaz:
https://doaj.org/article/fc941f33800948b48b4a406f129a294e
Autor:
Diana Kreitmayer, Srikanth R. Gopireddy, Tomomi Matsuura, Yuichi Aki, Yuta Katayama, Takuya Nakano, Takuma Eguchi, Hirofumi Kakihara, Koichi Nonaka, Thomas Profitlich, Nora A. Urbanetz, Eva Gutheil
Publikováno v:
Bioengineering, Vol 9, Iss 1, p 22 (2022)
Understanding the hydrodynamic conditions in bioreactors is of utmost importance for the selection of operating conditions during cell culture process development. In the present study, the two-phase flow in the lab-scale single-use bioreactor Xcelle
Externí odkaz:
https://doaj.org/article/a100df29751f42e1a98857e954c528c8
Autor:
Tigran Kharatyan, Shunya Igawa, Srikanth R. Gopireddy, Toru Ogawa, Tatsuhiro Kodama, Regina Scherließ, Nora A. Urbanetz
Publikováno v:
International Journal of Pharmaceutics. 641:123051
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a576e9eb150f5b2033dc14440927623
https://doi.org/10.1016/j.ijpharm.2023.123051
https://doi.org/10.1016/j.ijpharm.2023.123051
Autor:
Shubhangini Awasthi, Srikanth R. Gopireddy, Daiki Kako, Shuichi Tanabe, Hiroshi Nakagawa, Makoto Miyajima, Thomas Profitlich, Regina Scherließ, Nora A. Urbanetz
Publikováno v:
Powder Technology. 419:118296
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff2427416a88007312154769c093aebb
https://doi.org/10.1016/j.powtec.2023.118296
https://doi.org/10.1016/j.powtec.2023.118296
Publikováno v:
Advanced Powder Technology. 31:755-769
Pharmaceutical tablet quality is tightly controlled to ensure the patient’s safety. Though the tableting process is a well-known and accepted approach, process understanding is frequently built upon long-time experience of the operators. This is al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02db3cb8c7f8bb315cd2e3530ac2bdf4
https://doi.org/10.1016/j.apt.2019.11.030
https://doi.org/10.1016/j.apt.2019.11.030
Publikováno v:
Powder Technology. 360:818-834
In the present work, the discrete element method (DEM) is used to investigate the behaviour of Rosin-Rammler (R-R) particle size distribution (PSD) during hopper discharge. The study attempts to identify mass flow rate (MFR) and segregation as a func
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::484e700a31d3bd3ee6242a45db1c3cfd
https://doi.org/10.1016/j.powtec.2019.09.044
https://doi.org/10.1016/j.powtec.2019.09.044
Publikováno v:
Computer Aided Chemical Engineering ISBN: 9780323851596
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97ab463760e1893bdeb94867e5874a56
https://doi.org/10.1016/b978-0-323-85159-6.50359-6
https://doi.org/10.1016/b978-0-323-85159-6.50359-6
Publikováno v:
Powder Technology. 345:390-404
The combined approach of quality by design (QbD) framework and discrete element method (DEM) is applied to force feeding process within the tableting machine to assess the influence of potential critical process conditions (CPPs) and critical materia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::579c9de9246d7c0b2335b07a28784b1d
https://doi.org/10.1016/j.powtec.2019.01.015
https://doi.org/10.1016/j.powtec.2019.01.015
Publikováno v:
Advanced Powder Technology. 29:2822-2834
An Artificial Neural Network (ANN) was developed to predict the mass discharge rate from conical hoppers. By employing Discrete Element Method (DEM), numerically simulated flow rate data from different internal angles (20°–80°) hoppers were used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e52237070dff8a2c44a1148294f1096d
https://doi.org/10.1016/j.apt.2018.08.002
https://doi.org/10.1016/j.apt.2018.08.002