High spatial resolution ToF-SIMS imaging and image analysis strategies to monitor and quantify early phase separation in amorphous solid dispersions.

Amorphous phase separation Amorphous solid dispersion (ASD) Chemical imaging Crystal growth Crystal nucleation Hot melt extrusion (HME) Pharmaceutical solid products Surface physical stability Surface-enhanced re-crystallisation Time of flight-secondary ion mass spectrometry (ToF-SIMS)

Journal

International journal of pharmaceutics
ISSN: 1873-3476
Titre abrégé: Int J Pharm
Pays: Netherlands
ID NLM: 7804127

Informations de publication

Date de publication:
25 Nov 2022
Historique:
received: 29 05 2022
revised: 18 08 2022
accepted: 06 09 2022
pubmed: 4 10 2022
medline: 16 11 2022
entrez: 3 10 2022
Statut: ppublish

Résumé

Amorphous solid dispersions (ASDs) are formulations with enhanced drug solubility and dissolution rate compared to their crystalline counterparts, however, they can be inherently thermodynamically unstable. This can lead to amorphous phase separation and drug re-crystallisation, phenomena that are typically faster and more dominant at the product's surfaces. This study investigates the use of high-resolution time of flight-secondary ion mass spectrometry (ToF-SIMS) imaging as a surface analysis technique combined with image-analysis for the early detection, monitoring and quantification of surface amorphous phase separation in ASDs. Its capabilities are demonstrated for two pharmaceutically relevant ASD systems with distinct re-crystallisation behaviours, prepared using hot melt extrusion (HME) followed by pelletisation or grinding: (1) paracetamol-hydroxypropyl methylcellulose (PCM-HPMC) pellets with drug loadings of 10%-50% w/w and (2) indomethacin-polyvinylpyrrolidone (IND-PVP) ground material with drug loadings of 20%-85% w/w. PCM-HPMC pellets showed intense phase separation, reaching 100% PCM surface coverage within 1-5 months. In direct comparison, IND-PVP HME ground material was more stable with only a moderate formation of isolated IND-rich clusters. Image analysis allowed the reliable detection and quantification of local drug-rich clusters. An Avrami model was applied to determine and compare phase separation kinetics. The combination of chemical sensitivity and high spatial resolution afforded by SIMS was crucial to enable the study of early phase separation and re-crystallisation at the surface. Compared with traditional methods used to detect crystalline material, such as XRPD, we show that ToF-SIMS enabled detection of surface physical instability already at early stages of drug cluster formation in the first days of storage.

Identifiants

pubmed: 36191816
pii: S0378-5173(22)00745-1
doi: 10.1016/j.ijpharm.2022.122191
pii:
doi:

Substances chimiques

Povidone FZ989GH94E
Hypromellose Derivatives 3NXW29V3WO
Indomethacin XXE1CET956

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

122191

Informations de copyright

Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Eleonora Paladino (E)

EPSRC CMAC Future Manufacturing Research Hub, Technology and Innovation Centre, Glasgow, G1 1RD, UK; Strathclyde Institute of Pharmacy & Biomedical Sciences (SIPBS), University of Strathclyde, Glasgow, G4 0RE, UK; National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory (NPL), Teddington, TW11 0LW, UK.

Frederik J S Doerr (FJS)

EPSRC CMAC Future Manufacturing Research Hub, Technology and Innovation Centre, Glasgow, G1 1RD, UK; Strathclyde Institute of Pharmacy & Biomedical Sciences (SIPBS), University of Strathclyde, Glasgow, G4 0RE, UK.

Ecaterina Bordos (E)

EPSRC CMAC Future Manufacturing Research Hub, Technology and Innovation Centre, Glasgow, G1 1RD, UK; Strathclyde Institute of Pharmacy & Biomedical Sciences (SIPBS), University of Strathclyde, Glasgow, G4 0RE, UK.

Iyke I Onyemelukwe (II)

EPSRC CMAC Future Manufacturing Research Hub, Technology and Innovation Centre, Glasgow, G1 1RD, UK; Strathclyde Institute of Pharmacy & Biomedical Sciences (SIPBS), University of Strathclyde, Glasgow, G4 0RE, UK.

Dimitrios A Lamprou (DA)

School of Pharmacy, Queen's University Belfast, Belfast, BT7 1NN, UK.

Alastair J Florence (AJ)

EPSRC CMAC Future Manufacturing Research Hub, Technology and Innovation Centre, Glasgow, G1 1RD, UK; Strathclyde Institute of Pharmacy & Biomedical Sciences (SIPBS), University of Strathclyde, Glasgow, G4 0RE, UK.

Ian S Gilmore (IS)

National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory (NPL), Teddington, TW11 0LW, UK.

Gavin W Halbert (GW)

EPSRC CMAC Future Manufacturing Research Hub, Technology and Innovation Centre, Glasgow, G1 1RD, UK; Strathclyde Institute of Pharmacy & Biomedical Sciences (SIPBS), University of Strathclyde, Glasgow, G4 0RE, UK; Cancer Research UK Formulation Unit, SIPBS, University of Strathclyde, Glasgow, G4 0RE, UK. Electronic address: g.w.halbert@strath.ac.uk.

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Classifications MeSH