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Cocrystal Applications in Drug Delivery
Cocrystal Applications in Drug Delivery
Autore Erxleben Andrea
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (172 p.)
Soggetto topico Research & information: general
Soggetto non controllato barbituric acid
cocrystal
cocrystals
compaction
crystal engineering
crystal structure
crystallization inhibitors
design of experiments
diclofenac sodium
dissolution
dissolution behavior
dissolution rate
drug-polymer interactions
formulation
HIV/AIDS
imidazole N-oxides
interparticulate bonding area
interparticulate bonding strength
itraconazole
L-proline
lamivudine
mechanochemistry
monohydrate
multicomponent crystal
multicomponent crystals
n/a
nano co-crystals
nanoindentation
nefiracetam
nitazoxanide
particle size
pharmaceutical cocrystals
polydispersity index
Quality by Design
salt cocrystal
slip plane
solid state
solid state NMR
solid-state
solubility
sonochemistry
stability
supersaturated formulations
surface topology
tabletability
terephthalic acid
tetrahydrate
thermal analysis
thiobarbituric acid
wettability
X-ray Diffraction
zeta potential
zidovudine
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557552303321
Erxleben Andrea  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Industrial Statistics : A Computer-Based Approach with Python / Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck
Industrial Statistics : A Computer-Based Approach with Python / Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck
Autore Kenett, Ron S.
Pubbl/distr/stampa Cham, : Birkhäuser, : Springer, 2023
Descrizione fisica xxiii, 472 p. : ill. ; 24 cm
Altri autori (Persone) Gedeck, Peter
Zacks, Shelemyahu
Soggetto non controllato Bayesian reliability
Digital twins
Industrial Statistics
Industry 4.0
Multivariate process control
Process control and tracking
Quality by Design
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0278608
Kenett, Ron S.  
Cham, : Birkhäuser, : Springer, 2023
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Industrial Statistics : A Computer-Based Approach with Python / Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck
Industrial Statistics : A Computer-Based Approach with Python / Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck
Autore Kenett, Ron S.
Pubbl/distr/stampa Cham, : Birkhäuser, : Springer, 2023
Descrizione fisica xxiii, 472 p. : ill. ; 24 cm
Altri autori (Persone) Gedeck, Peter
Zacks, Shelemyahu
Soggetto topico 62-XX - Statistics [MSC 2020]
68-XX - Computer science [MSC 2020]
Soggetto non controllato Bayesian reliability
Digital twins
Industrial Statistics
Industry 4.0
Multivariate process control
Process control and tracking
Quality by Design
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00278608
Kenett, Ron S.  
Cham, : Birkhäuser, : Springer, 2023
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry / Richard K. Burdick ... [et al.] editors
Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry / Richard K. Burdick ... [et al.] editors
Pubbl/distr/stampa Cham, : Springer, 2017
Descrizione fisica xi, 379 p. : ill. ; 24 cm
Soggetto topico 92-XX - Biology and other natural sciences [MSC 2020]
92Exx - Chemistry [MSC 2020]
92B10 - Taxonomy, cladistics, statistics in mathematical biology [MSC 2020]
Soggetto non controllato Analytical methods
Biosimilarity
CMC Statistics
Chemistry, Manufacturing and Controls
FDA Guidance
Pharmaceutical Manufacturing
Process Verification
Quality by Design
Stability Studies
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0123959
Cham, : Springer, 2017
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry / Richard K. Burdick ... [et al.] editors
Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry / Richard K. Burdick ... [et al.] editors
Pubbl/distr/stampa Cham, : Springer, 2017
Descrizione fisica xi, 379 p. : ill. ; 24 cm
Soggetto topico 92-XX - Biology and other natural sciences [MSC 2020]
92B10 - Taxonomy, cladistics, statistics in mathematical biology [MSC 2020]
92Exx - Chemistry [MSC 2020]
Soggetto non controllato Analytical methods
Biosimilarity
CMC Statistics
Chemistry, Manufacturing and Controls
FDA Guidance
Pharmaceutical Manufacturing
Process Verification
Quality by Design
Stability Studies
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00123959
Cham, : Springer, 2017
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui