Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Natascia Meneghetti"'
Publikováno v:
Computers & Chemical Engineering. 101:110-124
The inversion of latent-variable models is an effective tool to assist the determination of the design space (DS) of a new pharmaceutical product. A challenging issue in partial least-square (PLS) regression model inversion is to describe how the unc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67d6006e9eeb4cf486d7168c22b9e637
https://doi.org/10.1016/j.compchemeng.2017.02.038
https://doi.org/10.1016/j.compchemeng.2017.02.038
Autor:
Simeone Zomer, Pierantonio Facco, Fabrizio Bezzo, Natascia Meneghetti, Chrismono Himawan, Massimiliano Barolo
Publikováno v:
International Journal of Pharmaceutics. 505:394-408
In this proof-of-concept study, a methodology is proposed to systematically analyze large data historians of secondary pharmaceutical manufacturing systems using data mining techniques. The objective is to develop an approach enabling to automaticall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eeee85f7a1822206d0067e8f6c53e24f
https://doi.org/10.1016/j.ijpharm.2016.03.035
https://doi.org/10.1016/j.ijpharm.2016.03.035
Autor:
Christian Airiau, Chris Antoniou, Massimiliano Barolo, Fabrizio Bezzo, Robert W. Bondi, Johan Bøtker, Richard D. Braatz, Dongsheng Bu, Chunsheng Cai, Graham Cook, Claudia C. Corredor, Kim H. Esbensen, Pierantonio Facco, Pedro M. Felizardo, Ana Patricia Ferreira, Geir Rune Flåten, John Gamble, Joerg Gampfer, Paul Geladi, Francisca F. Gouveia, Hans Grahn, Mark J. Henson, Benoît Igne, Dominique S. Kummli, Lorenz Liesum, João A. Lopes, David Lovett, John Mack, Nuno Matos, Neil McDowall, Gary McGeorge, Natascia Meneghetti, José C. Menezes, Ewan Mercer, Charles E. Miller, Chris Morris, Venkatesh Natarajan, Sarah Nicholson, Julia O’Neill, Antonio Peinado, Alan R. Potts, Jukka Rantanen, Clare Frances Rawlinson-Malone, Rodolfo J. Romañach, Andrés D. Román-Ospino, Mafalda C. Sarraguça, Kristen A. Severson, Zhenqi Shi, Christopher M. Sinko, Brad Swarbrick, Furqan Tahir, Jörg Thömmes, Mike Tobyn, Jeremy G. VanAntwerp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85fb5a702d533aa4c23f7aa952314506
https://doi.org/10.1016/b978-0-12-811065-2.00030-8
https://doi.org/10.1016/b978-0-12-811065-2.00030-8
Many pharmaceutical industry environments are characterized by the availability of large amounts of data deriving from developmental or production activities. In this chapter we show how information can be extracted from these data sets using a class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d78a2d9c1c3879f9246bf8a9282690a2
https://doi.org/10.1016/b978-0-12-811065-2.00011-4
https://doi.org/10.1016/b978-0-12-811065-2.00011-4
Autor:
Natascia Meneghetti, Massimiliano Barolo, Fabrizio Bezzo, Pierantonio Facco, Filippo Maria Dal Pastro
Publikováno v:
Industrial & Engineering Chemistry Research. 54:5128-5138
A key element of the Quality-by-Design initiative set forth by the pharmaceutical regulatory agencies (such as the U.S. Food and Drug Administration) is the determination of the design space (DS) f...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11bbebda043ca7f8516ccb9d6850fb8d
https://doi.org/10.1021/acs.iecr.5b00863
https://doi.org/10.1021/acs.iecr.5b00863
Autor:
Simeone Zomer, Chrismono Himawan, Natascia Meneghetti, Pierantonio Facco, Fabrizio Bezzo, Massimiliano Barolo
A methodology is proposed to support the periodic review of manufacturing data in the pharmaceutical industry. Pattern recognition techniques are employed to isolate and analyze operation-relevant data segments to the purpose of automatically extract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4d2ce8b0a5ae4c0cafa9ec837c573d0
https://doi.org/10.1016/b978-0-444-63428-3.50138-7
https://doi.org/10.1016/b978-0-444-63428-3.50138-7
Autor:
Pierantonio Facco, Natascia Meneghetti, David Slade, Fabrizio Bezzo, Massimiliano Barolo, Sean Bermingham
Process/model mismatch may arise when a first-principles model is challenged against historical experimental data. In this study, a methodology recently proposed to diagnose the root cause of the mismatch in continuous processes is extended to batch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8034be6570f52f013be7fb5f61450964
http://hdl.handle.net/11577/3162274
http://hdl.handle.net/11577/3162274
Autor:
Antonello Barresi, Fabrizio Bezzo, Pierantonio Facco, Natascia Meneghetti, Tereza Zelenková, Massimiliano Barolo, Daniele Marchisio, Emanuele Tomba
An experimental nanoparticle preparation process by solvent displacement in passive mixers is considered. The problem under investigation is to estimate the operating conditions in a target device (Mixer B) in order to obtain a product of assigned pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50a39cef5754596087a4dbf4306351f7
http://hdl.handle.net/11577/2688212
http://hdl.handle.net/11577/2688212
A methodology is proposed to diagnose the causes for the process/model mismatch (PMM) that may arise when a process is simulated using a first-principles (FP) model. To this purpose, a latent variable model is used to assess the consistency between t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::980429e53bc9d943aac61cfe34f3d286
http://hdl.handle.net/11577/2837215
http://hdl.handle.net/11577/2837215
A methodology is proposed to diagnose the root cause of the process/model mismatch (PMM) that may arise when a first-principles (FP) process model is challenged against a set of historical experimental data. The objective is to identify which model e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33c09e059b408d71032431af197a2e00
http://hdl.handle.net/11577/2910899
http://hdl.handle.net/11577/2910899