Marcio David Bocelli
Universidade Federal de São Carlos, Universidade de São Paulo
Papers
3
Total Citations
53
H-Index
3
About
Marcio David Bocelli is an analytical chemist whose research sits at the intersection of automated sample preparation, microextraction techniques, and environmental analysis. His work focuses on developing innovative, efficient methods for detecting trace-level contaminants — including endocrine disruptors and parabens — in complex matrices such as wastewater, biological fluids, and food samples. Bocelli has made notable contributions to the field by pioneering automated microextraction workflows, most impressively demonstrated through his development of an Arduino-based Cartesian robot capable of performing dynamic single-drop microextraction with minimal human intervention. This engineering-forward approach addresses longstanding challenges in analytical chemistry, particularly the error-prone and time-consuming nature of manual sample preparation. His 2023 review on modern automated microextraction procedures has already garnered 29 citations, establishing him as a credible voice in guiding the broader analytical community toward greener, more cost-effective, and higher-throughput methodologies. With a combined citation count exceeding 50 across just three papers, Bocelli's rapid scholarly impact signals a researcher whose innovations in laboratory automation and environmental monitoring are increasingly shaping contemporary analytical practice.
Research Focus
Key Achievements
Top Papers
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