Author(s)

Jérémie Kindenge Mbinze^1,2, Jean Nsangu Mpasi², Elza Maghe², Sébastien Kobo², Rodrigue Mwanda², Guy Mulumba², Jacquie Bolavie Bolande³, Trésor Menanzambi Bayebila², Maguy Borive Amani⁴, Philippe Hubert¹, Roland Djang’eing’a Marini^1,4

¹University of Liege (ULg), Department of Pharmacy, CIRM, Laboratory of Analytical Chemistry, Liège, Belgium.
²Laboratory of Drug Analysis, Faculty of Pharmaceutical Sciences, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
³Laboratory Service, Institute of Research in Science of Health, Kinshasa, Democratic Republic of Congo.
⁴Faculty of Medicine and Pharmacy, University of Kisangani, Kisangani, Democratic Republic of Congo.

In the framework of fighting against the poor quality medicines sold in developing countries using classical analytical methods easily accessible in those countries, four UV-Visible spectrophotometric methods for one antimalarial (quinine) and two antibiotics (amoxicillin and metronidazole) have been developed and validated according to the total error strategy using the accuracy profiles as a decision tool. The dosing range was 2 - 10 μg/mL (for quinine sulfate in tablet), 4 - 12 μg/mL (for quinine bichlorhydrate in oral drop-metronidazole benzaote in oral suspension) and 15 - 35 μg/mL (for amoxicillin trihydrate in capsule). The validated methods were then applied in determining the content of some analogous medicines sold in the Democratic Republic of Congo. Thus, the proposed UV-Visible spectrophotometric methods are simple and suitable to quantify quinine, amoxicillin and metronidazole in different pharmaceutical forms.

Poor Quality Medicines, UV-Visible Spectrophotometric Methods, Quinine, Amoxicillin, Metronidazole, Validation, Total Error, Accuracy Profiles

Mbinze, J. , Mpasi, J. , Maghe, E. , Kobo, S. , Mwanda, R. , Mulumba, G. , Bolande, J. , Bayebila, T. , Amani, M. , Hubert, P. and Marini, R. (2015) Application of Total Error Strategy in Validation of Affordable and Accessible UV-Visible Spectrophotometric Methods for Quality Control of Poor Medicines. American Journal of Analytical Chemistry, 6, 106-117. doi: 10.4236/ajac.2015.62010.