An Enthalpy-Balance Model for Timewise Evolution of Temperature during Wet Stirred Media Milling of Drug Suspensions

Document Type

Article

Publication Date

9-1-2022

Abstract

Purpose: Nanosuspensions have been used for enhancing the bioavailability of poorly soluble drugs. This study explores the temperature evolution during their preparation in a wet stirred media mill using a coupled experimental–enthalpy balance approach. Methods: Milling was performed at three levels of stirrer speed, bead loading, and bead sizes. Temperatures were recorded over time, then simulated using an enthalpy balance model by fitting the fraction of power converted to heat ξ. Moreover, initial and final power, ξ, and temperature profiles at 5 different test runs were predicted by power-law (PL) and machine learning (ML) approaches. Results: Heat generation was higher at the higher stirrer speed and bead loading/size, which was explained by the higher power consumption. Despite its simplicity with a single fitting parameter ξ, the enthalpy balance model fitted the temperature evolution well with root mean squared error (RMSE) of 0.40–2.34°C. PL and ML approaches provided decent predictions of the temperature profiles in the test runs, with RMSE of 0.93–4.17 and 1.00–2.17°C, respectively. Conclusions: We established the impact of milling parameters on heat generation–power and demonstrated the simulation–prediction capability of an enthalpy balance model when coupled to the PL–ML approaches. Graphical abstract: [Figure not available: see fulltext.]

Identifier

85135278237 (Scopus)

Publication Title

Pharmaceutical Research

External Full Text Location

https://doi.org/10.1007/s11095-022-03346-3

e-ISSN

1573904X

ISSN

07248741

PubMed ID

35915319

First Page

2065

Last Page

2082

Issue

9

Volume

39

Grant

G2718B0

Fund Ref

GlaxoSmithKline

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