
Panelists offer a realistic outlook for FFF, with miniaturization and emerging application areas seen as future directions.

Valentina Marassi is a tenured researcher and senior assistant professor in analytical chemistry at the Analytical Methods for Nano and Biosciences group, University of Bologna. She received her Ph.D. in 2017, and since then, her work has focused on instrumental innovation, multidetection strategies, and chemometric modeling for native profiling of complex biological and colloidal systems, applied to bioanalytical chemistry, nanomedicine, and liquid biopsy. Marassi is PI of the national project DOMANI (native profiling of nanoplastics in real-life matrices), and co-PI of RESOLVE (FFF coupling to Lab on Chip for prompt analysis of extracellular vesicles), and partner in the international project AF4-AI (FFF profiling of cerebrospinal fluid for traumatic brain injury prognosis). She is co-owner of the academic spin-off byFlow srl, developing FFF-based technologies and analytical solutions in nanobiopharma. Her awards include the Accademia delle Scienze Top-10 recognition and the national Giovannoli prize for young researchers.
She has 15 years of work experience with FFF.

Panelists offer a realistic outlook for FFF, with miniaturization and emerging application areas seen as future directions.

Experts assess whether coupling with detectors such as MALS, Raman, and ICP-MS has elevated FFF from exploratory research to a decision-making tool.

Panelists agree that a shortage of trained users underpins all other barriers to FFF becoming a validated routine tool in industrial settings.

Experts examine how automation, software harmonization, and AI-assisted data analysis could lower barriers to FFF adoption and support routine use.

Panelists identify biopharma and environmental nanoplastics analysis as the most significant emerging drivers of FFF development.

From hand-built channels to commercial instruments, experts discuss the instrumentation, applications, and theory that have shaped FFF.

Field-flow fractionation (FFF), and, in particular, asymmetrical flow field-flow fractionation (AF4), is transitioning from a specialized separation technique into an application-driven analytical platform. From the perspective of the Young Scientists of FFF, we describe how advances in inline detection, data analysis, and validation are expanding AF4’s capacity to deliver size-resolved structural and compositional insights into complex systems. We highlight how this evolution enables more reliable characterization of heterogeneous and dynamically assembled materials across disciplines. We argue that realizing this potential will require deliberate choices (by the community, instrument developers, and end users) to move AF4 from niche expert knowledge to broadly trusted analytical practice.

The authors present their motivation for establishing the Young Scientists of FFF (YSFFF) initiative within the FFF community.

May 29th 2026