Flavio Antonio Franchina focuses on application-driven workflows that integrate sample preparation, separation, quantification, and data processing for environmental analysis and bioanalysis.
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He says greater instrument sensitivity makes it harder to distinguish sample-derived compounds from environmental contamination and transformations introduced during handling.
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Franchina identifies generative and machine-learning tools integrated into analytical workflows and instruments as a major trend for the next 5 to 10 years.
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He says analytical science must validate feature reliability, reproducibility, compound identification, and the limits of what results can support.
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Franchina argues that scientists should prioritize research depth over publication volume in evaluations and credits international research experience with broadening his expertise.
