Comparative drug solubility studies using shake-flask versus a laser-based robotic method
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Publication date
2023
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01A - Journal article
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Parent work
AAPS PharmSciTech
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Volume
24
Issue / Number
7
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Springer
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Abstract
Drug solubility is of central importance to the pharmaceutical sciences, but reported values often show discrepancies. Various factors have been discussed in the literature to account for such differences, but the influence of manual testing in comparison to a robotic system has not been studied adequately before. In this study, four expert researchers were asked to measure the solubility of four drugs with various solubility behaviors (i.e., paracetamol, mesalazine, lamotrigine, and ketoconazole) in the same laboratory with the same instruments, method, and material sources and repeated their measurements after a time interval. In addition, the same solubility data were determined using an automated laser-based setup. The results suggest that manual testing leads to a handling influence on measured solubility values, and the results were discussed in more detail as compared to the automated laser-based system. Within the framework of unavoidable uncertainties of solubility testing, it is a possibility to combine minimal experimental testing that is preferably automated with mathematical modeling. That is a practical suggestion to support future pharmaceutical development in a more efficient way. © 2023, The Author(s), under exclusive licence to American Association of Pharmaceutical Scientists.
Keywords
Automated setup, Data fluctuation, Robotic testing
Subject (DDC)
600 - Technik, Medizin, angewandte Wissenschaften
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ISSN
1530-9932
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
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Closed
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Citation
RAHIMPOUR, Elaheh, Milad MORADI, Atefeh SHEIKHI-SOVARI, Homa REZAEI, Hadis REZAEI, Vahid JOUYBAN-GHARAMALEKI, Martin KUENTZ und Abolghasem JOUYBAN, 2023. Comparative drug solubility studies using shake-flask versus a laser-based robotic method. AAPS PharmSciTech. 2023. Bd. 24, Nr. 7. DOI 10.1208/s12249-023-02667-9. Verfügbar unter: https://irf.fhnw.ch/handle/11654/44028