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This study utilized a UHPLC-HRMS method to identify eight active pharmaceutical ingredients, such as ketoconazole and minoxidil, in 26 out of 100 analyzed cosmetic products.

This paper discusses advancements in forensic hair analysis, emphasizing a novel DART–HRMS method that improves the accuracy and efficiency of detecting drug use timelines.

This study demonstrated that GP derivatization improves mass spectral analysis of spironolactone and its metabolites by reducing in-source fragmentation and enhancing signal clarity, laying the groundwork for future advancements in reaction optimization and quantitative assay development.

This study reports that a new DART-HRMS method can effectively analyze intact hair for drug use timelines, with cocaine detection aligning with forensic standards and identifying multiple drugs from high-resolution data.

This study describes a new method using high-resolution mass spectrometry for analyzing multiple steroids in human scalp hair, with newborn hair showing the highest steroid concentrations among examined age groups.