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Dorsey PJ, Lau CL, Chang TC, Doerschuk PC, D'Addio SM. Review of Machine Learning for Lipid Nanoparticle Formulation and Process Development. J Pharm Sci 2024:S0022-3549(24)00422-2. [PMID: 39341497 DOI: 10.1016/j.xphs.2024.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Revised: 09/10/2024] [Accepted: 09/11/2024] [Indexed: 10/01/2024]
Abstract
Lipid nanoparticles (LNPs) are a subset of pharmaceutical nanoparticulate formulations designed to encapsulate, stabilize, and deliver nucleic acid cargoes in vivo. Applications for lipid nanoparticles include new interventions for genetic disorders, novel classes of vaccines, and alternate modes of intracellular delivery for therapeutic proteins. In the pharmaceutical industry, establishing a robust formulation and process to achieve target product performance is a critical component of drug development. Fundamental understanding of the processes for making LNPs and their interactions with biological systems have advanced considerably in the wake of the COVID-19 pandemic. Nevertheless, LNP formulation research remains largely empirical and resource intensive due to the multitude of input parameters and the complex physical phenomena that govern the processes of nanoparticle precipitation, self-assembly, structure evolution, and stability. Increasingly, artificial intelligence and machine learning (AI/ML) are being applied to improve the efficiency of research activities through in silico models and predictions, and to drive deeper fundamental understanding of experimental inputs to functional outputs. This review will identify current challenges and opportunities in the development of robust LNP formulations of nucleic acids, review studies that apply machine learning methods to experimental datasets, and provide discussion on associated data science challenges to facilitate collaboration between formulation and data scientists, aiming to accelerate the advancement of AI/ML applied to LNP formulation and process optimization.
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Affiliation(s)
- Phillip J Dorsey
- Pharmaceutical Sciences & Clinical Supply, Merck Research Labs, Merck & Co. Inc., Rahway, NJ 07065, USA; University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Christina L Lau
- Cornell University, School of Electrical and Computer Engineering, Ithaca, NY 14853, USA
| | - Ti-Chiun Chang
- Pharmaceutical Sciences & Clinical Supply, Merck Research Labs, Merck & Co. Inc., Rahway, NJ 07065, USA
| | - Peter C Doerschuk
- Cornell University, School of Electrical and Computer Engineering, Ithaca, NY 14853, USA
| | - Suzanne M D'Addio
- Pharmaceutical Sciences & Clinical Supply, Merck Research Labs, Merck & Co. Inc., Rahway, NJ 07065, USA.
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2
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CFD simulation and experimental study of antisolvent precipitation through impinging jets for synthesis of nanodrug particles. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.120348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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3
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Icardi M, Pasquale ND, Crevacore E, Marchisio D, Babler MU. Population Balance Models for Particulate Flows in Porous Media: Breakage and Shear-Induced Events. Transp Porous Media 2022. [DOI: 10.1007/s11242-022-01793-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
AbstractTransport and particulate processes are ubiquitous in environmental, industrial and biological applications, often involving complex geometries and porous media. In this work we present a general population balance model for particle transport at the pore-scale, including aggregation, breakage and surface deposition. The various terms in the equations are analysed with a dimensional analysis, including a novel collision-induced breakage mechanism, and split into one- and two-particles processes. While the first are linear processes, they might both depend on local flow properties (e.g. shear). This means that the upscaling (via volume averaging and homogenisation) to a macroscopic (Darcy-scale) description requires closures assumptions. We discuss this problem and derive an effective macroscopic term for the shear-induced events, such as breakage caused by shear forces on the transported particles. We focus on breakage events as prototype for linear shear-induced events and derive upscaled breakage frequencies in periodic geometries, starting from nonlinear power-law dependence on the local fluid shear rate. Results are presented for a two-dimensional channel flow and a three dimensional regular arrangement of spheres, for arbitrarily fast (mixing-limited) events. Implications for linearised shear-induced collisions are also discussed. This work lays the foundations of a new general framework for multiscale modelling of particulate flows.
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Styliari ID, Taresco V, Theophilus A, Alexander C, Garnett M, Laughton C. Nanoformulation-by-design: an experimental and molecular dynamics study for polymer coated drug nanoparticles. RSC Adv 2020; 10:19521-19533. [PMID: 35515456 PMCID: PMC9054057 DOI: 10.1039/d0ra00408a] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 04/08/2020] [Indexed: 12/27/2022] Open
Abstract
The formulation of drug compounds into nanoparticles has many potential advantages in enhancing bioavailability and improving therapeutic efficacy. However, few drug molecules will assemble into stable, well-defined nanoparticulate structures. Amphiphilic polymer coatings are able to stabilise nanoparticles, imparting defined surface properties for many possible drug delivery applications. In the present article we explore, both experimentally and in silico, a potential methodology to coat drug nanoparticles with an amphiphilic co-polymer. Monomethoxy polyethylene glycol-polycaprolactone (mPEG-b-PCL) diblock copolymers with different mPEG lengths (M w 350, 550, 750 and 2000), designed to give different levels of colloidal stability, were used to coat the surface of indomethacin nanoparticles. Polymer coating was achieved by a flow nanoprecipitation method that demonstrated excellent batch-to-batch reproducibility and resulted in nanoparticles with high drug loadings (up to 78%). At the same time, in order to understand this modified nanoprecipitation method at an atomistic level, large-scale all-atom molecular dynamics simulations were performed in parallel using the GROMOS53a6 forcefield parameters. It was observed that the mPEG-b-PCL chains act synergistically with the acetone molecules to dissolve the indomethacin nanoparticle while after the removal of the acetone molecules (mimicking the evaporation of the organic solvent) a polymer-drug nanoparticle was formed (yield 99%). This work could facilitate the development of more efficient methodologies for producing nanoparticles of hydrophobic drugs coated with amphiphilic polymers. The atomistic insight from the MD simulations in tandem with the data from the drug encapsulation experiments thus leads the way to a nanoformulation-by-design approach for therapeutic nanoparticles.
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Affiliation(s)
| | - Vincenzo Taresco
- School of Pharmacy, University of Nottingham Nottingham NG7 2RD UK
| | | | | | - Martin Garnett
- School of Pharmacy, University of Nottingham Nottingham NG7 2RD UK
| | - Charles Laughton
- School of Pharmacy, University of Nottingham Nottingham NG7 2RD UK
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Massella D, Celasco E, Salaün F, Ferri A, Barresi AA. Overcoming the Limits of Flash Nanoprecipitation: Effective Loading of Hydrophilic Drug into Polymeric Nanoparticles with Controlled Structure. Polymers (Basel) 2018; 10:E1092. [PMID: 30961017 PMCID: PMC6403626 DOI: 10.3390/polym10101092] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 09/06/2018] [Accepted: 09/29/2018] [Indexed: 12/26/2022] Open
Abstract
Flash nanoprecipitation (FNP) is a widely used technique to prepare particulate carriers based on various polymers, and it was proven to be a promising technology for the industrial production of drug loaded nanoparticles. However, up to now, only its application to hydrophobic compounds has been deeply studied and the encapsulation of some strongly hydrophilic compounds, such as caffeine, remains a challenge. Caffeine loaded poly-ε-caprolactone (PCL) nanoparticles were produced in a confined impinging jet mixer using acetone as the solvent and water as the antisolvent. Caffeine was dissolved either in acetone or in water to assess the effects of two different process conditions. Nanoparticles properties were assessed in terms of loading capacity (LC%), encapsulation efficiency (EE%), and in vitro release kinetics. Samples were further characterized by dynamic light scattering, scanning electron microscopy, X-ray photo electron spectroscopy, and infrared spectroscopy to determine the size, morphology, and structure of nanoparticles. FNP was proved an effective technique for entrapping caffeine in PCL and to control its release behavior. The solvent used to solubilize caffeine influences the final structure of the obtained particles. It was observed that the active principle was preferentially adsorbed at the surface when using acetone, while with water, it was embedded in the matrix structure. The present research highlights the possibility of extending the range of applications of FNP to hydrophilic molecules.
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Affiliation(s)
- Daniele Massella
- Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino (TO), Italy.
- ENSAIT, GEMTEX-Laboratoire de Génie et Matériaux Textiles, F-59000 Lille, France.
- College of Textile and Clothing Engineering, Soochow University, Suzhou 215123, China.
| | - Edvige Celasco
- Dipartimento di Fisica dell'Università degli studi di Genova, Via Dodecaneso 33, 16146 Genova (GE), Italy.
| | - Fabien Salaün
- ENSAIT, GEMTEX-Laboratoire de Génie et Matériaux Textiles, F-59000 Lille, France.
- College of Textile and Clothing Engineering, Soochow University, Suzhou 215123, China.
| | - Ada Ferri
- Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino (TO), Italy.
| | - Antonello A Barresi
- Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino (TO), Italy.
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Li N, Nikoubashman A, Panagiotopoulos AZ. Multi-scale simulations of polymeric nanoparticle aggregation during rapid solvent exchange. J Chem Phys 2018; 149:084904. [DOI: 10.1063/1.5046159] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Affiliation(s)
- Nannan Li
- Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, USA
| | - Arash Nikoubashman
- Institute of Physics, Johannes Gutenberg University Mainz, Staudingerweg 7, 55128 Mainz, Germany
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7
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Ojaniemi U, Puranen J, Manninen M, Gorshkova E, Louhi-Kultanen M. Hydrodynamics and kinetics in semi-batch stirred tank precipitation of l -glutamic acid based on pH shift with mineral acids. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2017.12.029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Haqshenas SR, Ford IJ, Saffari N. Modelling the effect of acoustic waves on the thermodynamics and kinetics of phase transformation in a solution: Including mass transportation. J Chem Phys 2018; 148:024102. [DOI: 10.1063/1.5003021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- S. R. Haqshenas
- Department of Mechanical Engineering, University College London, Gower Street, London WC1E 7JE, United Kingdom
| | - I. J. Ford
- Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - N. Saffari
- Department of Mechanical Engineering, University College London, Gower Street, London WC1E 7JE, United Kingdom
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9
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Turino LN, Stella B, Dosio F, Luna JA, Barresi AA. Nanoparticles obtained by confined impinging jet mixer: poly(lactide-co-glycolide) vs. Poly-ε-caprolactone. Drug Dev Ind Pharm 2018; 44:934-941. [DOI: 10.1080/03639045.2017.1421662] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Ludmila N. Turino
- Dipartimento di Scienza Applicata e Tecnologia, Politecnico di Torino, Torino, Italy
- Laboratorio de Química Fina. Instituto de Desarrollo Tecnológico para la Industria Química (INTEC), Universidad Nacional del Litoral (UNL), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santa Fe, Argentina
| | - Barbara Stella
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Torino, Italy
| | - Franco Dosio
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Torino, Italy
| | - Julio A. Luna
- Laboratorio de Química Fina. Instituto de Desarrollo Tecnológico para la Industria Química (INTEC), Universidad Nacional del Litoral (UNL), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santa Fe, Argentina
| | - Antonello A. Barresi
- Dipartimento di Scienza Applicata e Tecnologia, Politecnico di Torino, Torino, Italy
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11
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Ferri A, Kumari N, Peila R, Barresi AA. Production of menthol-loaded nanoparticles by solvent displacement. CAN J CHEM ENG 2017. [DOI: 10.1002/cjce.22867] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Ada Ferri
- Department of Applied Science and Technology; Politecnico di Torino Corso; Duca degli Abruzzi 24, 10129 Torino Italy
| | - Naveeta Kumari
- Department of Applied Science and Technology; Politecnico di Torino Corso; Duca degli Abruzzi 24, 10129 Torino Italy
| | - Roberta Peila
- Department of Applied Science and Technology; Politecnico di Torino Corso; Duca degli Abruzzi 24, 10129 Torino Italy
| | - Antonello A. Barresi
- Department of Applied Science and Technology; Politecnico di Torino Corso; Duca degli Abruzzi 24, 10129 Torino Italy
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12
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Ding S, Anton N, Vandamme TF, Serra CA. Microfluidic nanoprecipitation systems for preparing pure drug or polymeric drug loaded nanoparticles: an overview. Expert Opin Drug Deliv 2016; 13:1447-60. [DOI: 10.1080/17425247.2016.1193151] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Shukai Ding
- Institut Charles Sadron (ICS) – UPR 22 CNRS, Strasbourg, France
| | - Nicolas Anton
- Laboratoire de Conception et Application de Molécules Bioactives (CAMB) - UMR 7199 CNRS, Equipe de Pharmacie Biogalénique, Strasbourg, France
- Faculté de Pharmacie, Université de Strasbourg (Unistra), Strasbourg, France
| | - Thierry F. Vandamme
- Laboratoire de Conception et Application de Molécules Bioactives (CAMB) - UMR 7199 CNRS, Equipe de Pharmacie Biogalénique, Strasbourg, France
- Faculté de Pharmacie, Université de Strasbourg (Unistra), Strasbourg, France
| | - Christophe A. Serra
- Institut Charles Sadron (ICS) – UPR 22 CNRS, Strasbourg, France
- École Européenne de Chimie, Polymères et Matériaux (ECPM), Université de Strasbourg (Unistra), Strasbourg, France
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13
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Taddese T, Carbone P, Cheung DL. Thermodynamics of linear and star polymers at fluid interfaces. SOFT MATTER 2015; 11:81-93. [PMID: 25366497 DOI: 10.1039/c4sm02102a] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Performing molecular dynamics simulations on model systems we study the structural changes and thermodynamic stability of polymers of varying topology (linear and star-shaped) at interface between two liquids. We find that homopolymers are attracted to the interface in both good and poor solvent conditions showing that they are surface active molecules even though not amphiphilic. In most cases changing polymer topology had only a minor effect on the desorption free energy. A noticeable dependence on polymer topology is only seen for relatively high molecular weight polymers at interface between two good solvents. Examining separately the enthalpic and entropic components of the desorption free energy suggests that its largest contribution is the decrease in the enthalpic part of interfacial free energy caused by the adsorption of the polymer at the interface. Finally we propose a simple method to qualitatively predict the trend of the interfacial free energy as a function of the polymer molecular weight.
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Affiliation(s)
- Tseden Taddese
- School of Chemical Engineering and Analytical Science, The University of Manchester, Oxford Road, Manchester M13 9PL, UK.
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Zelenková T, Barresi AA, Fissore D. On the Use of tert-Butanol/Water Cosolvent Systems in Production and Freeze-Drying of Poly-ε-Caprolactone Nanoparticles. J Pharm Sci 2015; 104:178-90. [DOI: 10.1002/jps.24271] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Revised: 10/21/2014] [Accepted: 10/28/2014] [Indexed: 11/10/2022]
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15
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Di Pasquale N, Marchisio DL, Barresi AA, Carbone P. Solvent Structuring and Its Effect on the Polymer Structure and Processability: The Case of Water–Acetone Poly-ε-caprolactone Mixtures. J Phys Chem B 2014; 118:13258-67. [DOI: 10.1021/jp505348t] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Nicodemo Di Pasquale
- Istituto
di Ingegneria Chimica, Dipartimento di Scienza Applicata e Tecnologia, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Torino, Italy
| | - Daniele Luca Marchisio
- Istituto
di Ingegneria Chimica, Dipartimento di Scienza Applicata e Tecnologia, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Torino, Italy
| | - Antonello Alessandro Barresi
- Istituto
di Ingegneria Chimica, Dipartimento di Scienza Applicata e Tecnologia, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Torino, Italy
| | - Paola Carbone
- School
of Chemical Engineering and Analytical Science, The University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
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Xu C, Rangaiah GP, Zhao XS. Application of Artificial Neural Network and Genetic Programming in Modeling and Optimization of Ultraviolet Water Disinfection Reactors. CHEM ENG COMMUN 2014. [DOI: 10.1080/00986445.2014.952813] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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17
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Celasco E, Valente I, Marchisio DL, Barresi AA. Dynamic light scattering and X-ray photoelectron spectroscopy characterization of PEGylated polymer nanocarriers: internal structure and surface properties. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2014; 30:8326-8335. [PMID: 24967677 DOI: 10.1021/la501198v] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
In this work, nanospheres and nanocapsules are precipitated in confined impinging jet mixers through solvent displacement and characterized. Acetone and water are used as the solvent and antisolvent, respectively, together with polymethoxypolyethylene glycol cyanoacrylate-co-hexadecylcyanoacrylate and Miglyol as the copolymer and oil, respectively. Characterization is performed with dynamic light scattering, with electrophoretic measurements, and for the first time with X-ray photoelectron spectroscopy. Results show that the presence of polyethylene glycol chains seems to be more pronounced on the surface of nanospheres than on that of nanocapsules. The thickness of the copolymer layer in nanocapsules ranges from 1 to 10 nm, depending on the value of the oil:copolymer mass ratio. Fast dilution is confirmed to have a positive effect in suppressing aggregation but can induce further copolymer precipitation.
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Affiliation(s)
- Edvige Celasco
- Dipartimento di Fisica, Università di Genova , via Dodecaneso 33, 16146 Genova, Italy
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Zelenková T, Fissore D, Marchisio DL, Barresi AA. Size Control in Production and Freeze-Drying of Poly-ε-Caprolactone Nanoparticles. J Pharm Sci 2014; 103:1839-50. [DOI: 10.1002/jps.23960] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2013] [Revised: 02/07/2014] [Accepted: 03/11/2014] [Indexed: 11/08/2022]
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