Addressing the quality of circulating medicines in low- and middle-Income countries is challenging due to limited access to affordable and rapid laboratory analyses. Moreover, traditional analytical methods generate hazardous waste, posing further environmental and health risks, conflicting with several United Nations Sustainable Development Goals, such as reducing pollution and conserving ecosystems.In response to these environmental challenges, the concept of green analytical chemistry emerged promoting environmentally friendly practices through principles such as reducing chemical use, minimizing energy consumption, and managing waste. Various green metric tools have been developed to assess the environmental impact of analytical methods, but these often neglect the reliability and applicability of the methods. To address this gap, approaches like White Analytical Chemistry (WAC) have been proposed, integrating criteria for environmental safety, reliability, and cost-effectiveness. WAC's principles are categorized into red (fitness for purpose), green (environmental safety), and blue (cost-efficiency) criteria.This study aims to use the WAC approach to provide a holistic comparison of different medicines' quality screening devices, helping developing countries with high SF medicine prevalence make informed choices. Three different situations are investigated: ex-ante evaluation, ex-post evaluation of the qualitative performances and ex-post evaluation of the quantitative performances of the most used medicines’ quality screening devices in low- and middle-income countries field settings.