C. Cottini

发表

Investigation of particle dynamics and classification mechanism in a spiral jet mill through computational fluid dynamics and discrete element methods

C. Cavazzoni, A. Benassi, S. Bnà, 2020, Powder Technology.

Predicting heart failure outcome from cardiac and comorbid conditions: the 3C-HF score.

Michael Böhm, Oberdan Parodi, Piotr Ponikowski, 2013, International journal of cardiology.

Raman spectroscopy as a PAT for pharmaceutical blending: Advantages and disadvantages

P. P. Lottici, I. Marino, D. Bersani, 2018, Journal of pharmaceutical and biomedical analysis.

A shear cell study on oral and inhalation grade lactose powders

C. Cottini, A. Benassi, R. Gaspari, 2020 .

A critical analysis of the CFD-DEM simulation of pharmaceutical aerosols deposition in extra-thoracic airways.

C. Cottini, A. Vanossi, A. Benassi, 2022, International journal of pharmaceutics.

Multivariate data analysis to assess dry powder inhalers performance from powder properties

M. Cocchi, C. Cottini, D. Riolo, 2016 .

Quantifying the loading capacity of a carrier-based DPI formulation and its dependence on the blending process

C. Cottini, R. Bettini, A. Benassi, 2019, Powder Technology.

Predicting heart failure outcome from cardiac and comorbid conditions: the 3C-HF score.

P. Ponikowski, G. Filippatos, A. Gavazzi, 2013, International journal of cardiology.

Multivariate Data Analysis provide understanding of correlation among powder properties and in-vitro performance Predictive models of in-vitro performance allow estimation of DUSA and NGI performance

M. Cocchi, C. Cottini, D. Riolo, 2016 .

Coupled CFD-DEM model for dry powder inhalers simulation: Validation and sensitivity analysis for the main model parameters

C. Cottini, R. Ponzini, R. Da Vià, 2021 .