Scale-up of a pharmaceutical roller compaction process using a joint-Y partial least squares model / Zheng Liu in Industrial & engineering chemistry research, Vol. 50 N° 18 (Septembre 2011)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 50 N° 18 (Septembre 2011) . - pp. 10696-10706 Titre : Scale-up of a pharmaceutical roller compaction process using a joint-Y partial least squares model Type de document : texte imprimé Auteurs : Zheng Liu, Auteur ; Mark-John Bruwer, Auteur ; John F. MacGregor, Auteur Année de publication : 2011 Article en page(s) : pp. 10696-10706 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Modeling Partial least squares Compaction Scale effect Extrapolation Résumé : Garda-Munoz et al. [Garcia-Munoz, S.; Kourti, T.; MacGregor, J. F. Chemom. Intell. Lab. Syst. 2005, 79, 101―114] proposed a new latent variable regression methodology, joint-Y partial least squares (JYPLS), for product transfer between plants. In this paper, this method is used for product scale-up from a type of laboratory-scale roller compactor, a Fitzpatrick IR220, to a type of full-scale roller compactor, a Fitzpatrick IR520, in the pharmaceutical industry. AJYPLS model is first built with the data set collected from historical experiments on these two types of compactors. The JYPLS model relates API mass fraction, excipient mass factions, and roller compaction process measurements to ribbon properties. A constrained optimization is then formulated to invert the JYPLS model to find the key process settings of the Fitzpatrick IR520 to make the same quality of ribbon using the same raw materials formulation as the ribbon that had been produced on the Fitzpatrick IR220. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24523887 [article] Scale-up of a pharmaceutical roller compaction process using a joint-Y partial least squares model [texte imprimé] / Zheng Liu, Auteur ; Mark-John Bruwer, Auteur ; John F. MacGregor, Auteur . - 2011 . - pp. 10696-10706. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 18 (Septembre 2011) . - pp. 10696-10706 Mots-clés : Modeling Partial least squares Compaction Scale effect Extrapolation Résumé : Garda-Munoz et al. [Garcia-Munoz, S.; Kourti, T.; MacGregor, J. F. Chemom. Intell. Lab. Syst. 2005, 79, 101―114] proposed a new latent variable regression methodology, joint-Y partial least squares (JYPLS), for product transfer between plants. In this paper, this method is used for product scale-up from a type of laboratory-scale roller compactor, a Fitzpatrick IR220, to a type of full-scale roller compactor, a Fitzpatrick IR520, in the pharmaceutical industry. AJYPLS model is first built with the data set collected from historical experiments on these two types of compactors. The JYPLS model relates API mass fraction, excipient mass factions, and roller compaction process measurements to ribbon properties. A constrained optimization is then formulated to invert the JYPLS model to find the key process settings of the Fitzpatrick IR520 to make the same quality of ribbon using the same raw materials formulation as the ribbon that had been produced on the Fitzpatrick IR220. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24523887

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Sustainability assessment of industrial systems under uncertainty / Cristina Piluso in Industrial & engineering chemistry research, Vol. 49 N° 18 (Septembre 2010)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 49 N° 18 (Septembre 2010) . - pp. 8633–8643 Titre : Sustainability assessment of industrial systems under uncertainty : a fuzzy logic based approach to short-term to midterm predictions Type de document : texte imprimé Auteurs : Cristina Piluso, Auteur ; Jennifer Huang, Auteur ; Zheng Liu, Auteur Année de publication : 2010 Article en page(s) : pp. 8633–8643 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Industrial Systems Résumé : The sustainability assessment of industrial systems is always a very challenging task due to the existence of various types of uncertainties that are associated with the available data, assessable information, possessed knowledge, and problem understanding, etc. This paper introduces a fuzzy logic based approach for the effective short- and long-term assessment of industrial sustainability under the restrictions of aleatory and epistemic uncertainties. A comprehensive study on a metal-finishing-centered industrial zone is illustrated to show the efficacy of the introduced methodology. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100164r [article] Sustainability assessment of industrial systems under uncertainty : a fuzzy logic based approach to short-term to midterm predictions [texte imprimé] / Cristina Piluso, Auteur ; Jennifer Huang, Auteur ; Zheng Liu, Auteur . - 2010 . - pp. 8633–8643. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 18 (Septembre 2010) . - pp. 8633–8643 Mots-clés : Industrial Systems Résumé : The sustainability assessment of industrial systems is always a very challenging task due to the existence of various types of uncertainties that are associated with the available data, assessable information, possessed knowledge, and problem understanding, etc. This paper introduces a fuzzy logic based approach for the effective short- and long-term assessment of industrial sustainability under the restrictions of aleatory and epistemic uncertainties. A comprehensive study on a metal-finishing-centered industrial zone is illustrated to show the efficacy of the introduced methodology. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100164r

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