TY - CHAP
T1 - A multiparametric analysis of molecular complexities vs. economic data towards the continuous pharmaceutical manufacturing (CPM) of antibiotics
AU - Ellerker, Mabel
AU - Diab, Samir
AU - Gerogiorgis, Dimitrios
PY - 2018/6/11
Y1 - 2018/6/11
N2 - Continuous pharmaceutical manufacturing (CPM) has a documented potential to reduce production costs, offering opportunities to simultaneously streamline product development and improve economics for the pharmaceutical industry. Selecting technically feasible and economically viable candidate active pharmaceutical ingredients (APIs) for CPM is imperative for this transition to succeed. The present paper outlines a statistical correlation analysis of structural complexity and trade statistics for antibiotics, towards establishing economically viable CPM candidates. Bertz molecular complexity indices (CIs) are compared with molecular weights and price, sales and revenue data to identify the strength of correlation among variables. Sales data show that penicillins and quinolones are the most economically promising antibiotic families, composing 60% of total antibiotic revenues in the period 2009-2011. Spearman's rank correlation coefficients confirm strong monotonic relationships between antibiotic Bertz CIs and trade parameters. To the best of our knowledge, this is the first study highlighting promising antibiotics towards systematising CPM pursuits.
AB - Continuous pharmaceutical manufacturing (CPM) has a documented potential to reduce production costs, offering opportunities to simultaneously streamline product development and improve economics for the pharmaceutical industry. Selecting technically feasible and economically viable candidate active pharmaceutical ingredients (APIs) for CPM is imperative for this transition to succeed. The present paper outlines a statistical correlation analysis of structural complexity and trade statistics for antibiotics, towards establishing economically viable CPM candidates. Bertz molecular complexity indices (CIs) are compared with molecular weights and price, sales and revenue data to identify the strength of correlation among variables. Sales data show that penicillins and quinolones are the most economically promising antibiotic families, composing 60% of total antibiotic revenues in the period 2009-2011. Spearman's rank correlation coefficients confirm strong monotonic relationships between antibiotic Bertz CIs and trade parameters. To the best of our knowledge, this is the first study highlighting promising antibiotics towards systematising CPM pursuits.
U2 - https://doi.org/10.1016/B978-0-444-64235-6.50191-1
DO - https://doi.org/10.1016/B978-0-444-64235-6.50191-1
M3 - Chapter (peer-reviewed)
T3 - Computer-Aided Chemical Engineering
SP - 1093
EP - 1098
BT - 28th European Symposium on Computer Aided Process Engineering
A2 - Friedl, Anton
A2 - Klemeš, Jiri
A2 - Radl, Stefan
A2 - Varbanov, Petar
A2 - Wallek, Thomas
PB - Elsevier
CY - Amsterdam
ER -