Evaluating thermogravimetric analysis for the measurement of drug loading in mesoporous silica nanoparticles (MSNs)

Article


Almaghrabi, M., Alqurshi, A., Jadhav, S. A., Mazzacuva, F., Cilibrizzi, A., Raimi-Abraham, B. and Royall, P. G. 2023. Evaluating thermogravimetric analysis for the measurement of drug loading in mesoporous silica nanoparticles (MSNs). Thermochimica Acta. 730 (Art. 179616). https://doi.org/10.1016/j.tca.2023.179616
AuthorsAlmaghrabi, M., Alqurshi, A., Jadhav, S. A., Mazzacuva, F., Cilibrizzi, A., Raimi-Abraham, B. and Royall, P. G.
Abstract

In this study, a thermogravimetric analysis (TGA) method for measuring the drug loading in mesoporous silica nanoparticles (MSNs) has been developed and evaluated in comparison with the drug loading quantification by high-performance liquid chromatography (HPLC). Indapamide was loaded into two different types of MSNs, namely Mobile Crystalline Material (MCM-41, pore size = 1.2 nm) and Santa Barbara Amorphous (SBA-15, pore size = 4.1 nm). Physical mixtures of the drug and silica gave a linear correlation between the observed and expected drug content for both TGA and HPLC, which were used for calibration purposes. The limit of detection (LOD) for the TGA method obtained from the physical mixture calibration curve was 0.77 % (w/w) and the r² value was 0.9936, whereas the HPLC had a LOD of 0.06 % (w/w) and an r² value of 0.9933. The sensitivity of the TGA method was well established using the drug loading studies, as it can detect the low loading of MCM-41 at 2.2 ± 0.21 % (w/w), compared to 5.1 ± 0.12 % (w/w) with the SBA-15. In all samples applied, the multiple comparison analysis showed an insignificant difference between the two methods (p > 0.05). The TGA data presented good evidence for using this technique as a sensitive, cost-effective, and low-variable quantitative analysis in the drug loading determination of the MSNs. TGA is not a selective method of quantification, but optimising the method using the pure and blank samples of MSNs and drug can significantly improve the sensitivity. This work provides a unique approach to apply TGA as a selective and more favourable method to characterise MSNs to do early formulation developments.

JournalThermochimica Acta
Journal citation730 (Art. 179616)
ISSN0040-6031
Year2023
PublisherElsevier
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Anyone
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Digital Object Identifier (DOI)https://doi.org/10.1016/j.tca.2023.179616
Publication dates
Online20 Oct 2023
PrintDec 2023
Publication process dates
Accepted07 Oct 2023
Deposited20 Nov 2023
FunderSaudi Arabian Cultural Bureau (SACB)
Copyright holder© 2023, The Authors
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