Two green analytical approaches have been developed for the analysis of antimalarial fixed dose tablets of artemether and lumefantrine for quality control. The first approach consisted of investigating the qualitative performance of a low-cost handheld near-infrared spectrometer in combination with the principal component analysis as an exploratory tool to identify trends, similarities, and differences between pharmaceutical samples, before applying the data driven soft independent modeling of class analogy (DD-SIMCA) as a one-class classifier for proper drug falsification detection with 100% of both sensitivity and specificity in the studied cases. Despite its limited spectral range and low resolution, the handheld device allowed detecting falsified drugs with no active pharmaceutical ingredient and identifying specifically a pharmaceutical tablet brand name. The second approach was the quantitative analysis based on the green and fast RP-HPLC technique using ethanol as a green organic solvent and acetic acid as a green pH modifier. The optimal separation was achieved in 7 min using a mobile phase composed of ethanol 96% and 10 mM of acetic acid pH 3.35 (63:37, v/v). The developed method was validated according to the total error approach based on an accuracy profile, was applied to the analysis of tablets, and allowed confirming falsified drugs detected by spectroscopy.
Groundwater is a main source of water supply for populations in Burkina Faso where there is a serious problem for drinking water access. However, water quality has not been always followed regularly. Recent studies showed that more than 50% of drillings in Yatenga province (north of Burkina Faso) have an arsenic concentration above the recommended WHO requirement. Preliminaries studies conducted in Bam (Center North of Burkina Faso) showed high arsenic level in certain localities. This work presents for the first time data on a large scale evaluation that had been performed in all the localities of Bam province in other to have a better assessment of contamination scale. A total of 707 drilling water samples have been selected randomly in 9 communes and analysed for the arsenic level using atomic absorption spectrometry with hydride generation. The results showed that 11% of drillings have an arsenic concentration above the recommended WHO requirements with Rouko commune having the highest rate of high arsenic level (22%).
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