In this episode, we interview Daniel Reddy, 2025 CAS Future Leader and PhD candidate at Queen's University, about his groundbreaking research on automated mass spectrometry and dried matrix spots (DMS).Dan's work combines computer vision, 3D printer automation, and laser micromachining to revolutionize sample preparation—reducing CO₂ emissions by 28-fold and organic solvent use by 21-fold compared to traditional methods.What You'll Learn:How to give a mass spectrometer "sight" and "taste" using computer vision and the LMJ-SSP (Liquid Microjunction Surface Sampling Probe)The breakthrough technology behind Surface Energy Traps (SETs) for confining liquid droplets on paper substratesWhy dried matrix spots eliminate the need for cold-chain shipping and enable analysis of blood, urine, and saliva samples via standard mailHow DIY chemists are hacking 3D printers to build cost-effective autosamplers (replacing $10K+ systems)The role of green chemistry and systems thinking in modernizing analytical methodsWhy interdisciplinary collaboration (chemistry + computer science) is critical to innovationKey Topics:Dried Matrix Spots (DMS) for automated sample prepLaser-micromachined Surface Energy TrapsDirect surface sampling mass spectrometrySustainability in analytical chemistry3D printer customization for laboratory automationThe importance of science communication and community outreachGuest Background:Dan Reddy is a PhD candidate in the Department of Chemistry at Queen's University and a recipient of the NSERC Vanier Canada Graduate Scholarship. He was recently named one of the top 35 early-career scientists globally in the 2025 CAS Future Leaders program.Relevant for:Analytical chemists and mass spectrometry practitionersLab managers seeking sustainable and cost-effective sample prep solutionsResearchers interested in green chemistry and automationDIY enthusiasts and makers interested in laboratory innovationStudents pursuing careers in analytical chemistry