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The current research developed a high‐performance thin layer chromatographic method based on green analytical chemistry and integrated experimental approaches of analytical quality by design for simultaneous estimation of solifenacin succinate and silodosin. The integration was planned to reduce energy and solvent usage, maximize efficacy, and minimize any negative environmental effects. Taguchi design for screening and optimization a Box–Behnken design was used. The n‐butanol:ethanol:triethylamine (6:4:0.1, v/v/v) mobile phase and ultraviolet detection at 221 nm were used to develop the method. As per International Council for Harmonization Q2(R1) specifications, the method was validated. Rf value for solifenacin succinate and silodosin was found to be 0.29 ± 0.02 and 0.58 ± 0.02 respectively. For solifenacin succinate and silodosin, the linearity was found over the concentration ranges of 500–2500 ng/band and 800–4000 ng/band. For solifenacin succinate, the limits of detection and quantification were found to be 13.00 and 39.34 ng/band, respectively, while for silodosin, they were 33.29 and 100.86 ng/band, respectively. For solifenacin succinate, the method revealed a percent recovery ranging from 98.49% to 99.50%, while for silodosin, it exhibited a range from 98.86% to 99.79%. The tools predicted greenness score to be 63 and 0.78, respectively, indicating the proposed method to be green. [ABSTRACT FROM AUTHOR]

The Sustainable Development Goal principle of "leaving no one behind" has led to increased attention being paid to patterns of intra-country allocation of foreign aid. We contribute to these efforts by considering a particular type of foreign aid, Aid for Trade (AfT), to discern allocation objectives of aid. We match a novel, geo-coded, dataset on over 11,000 Bangladeshi exporting firms to over one thousand AfT project locations in Bangladesh similarly geo-coded by AidData and expanded by ourselves. We use this matched data to employ spatial techniques that evaluate political economy logics of aid allocation, wherein AfT is functionally targeted towards exporting firms, is allocated based on prebendalism, and/or is directed to high poverty areas. Our analysis finds support that AfT is allocated based on functional or prebendalist logics. The results for poverty are more nuanced. When considered in a stand-alone fashion, poverty is associated with a smaller likelihood of allocation. However, some evidence suggests that when the other logics are present, the impact of poverty on allocation becomes positive. These findings suggest that the politics of aid allocation is a nuanced and intricate dance with multiple overlapping or competing logics. [ABSTRACT FROM AUTHOR]