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Victor Sans Sangorrin

Associate Professor, Faculty of Engineering

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Biography

Dr Victor Sans Sangorrin is a member of the Sustainable Process Technologies (SPT) research group.

Victor Sans obtained a MEng degree in Chemical Engineering at the University Jaume I in 2003, followed by a MSc and a PhD in Sustainable Chemistry (2007) at the same University. Afterwards he took a post-doctoral appointment at the Universities of Bath and Warwick under the supervision of Prof. Alexei Lapkin. In parallel to his research work he completed a part-time MBA (2011) at the University of Bath. In 2011 he moved to Glasgow to work as a PDRA and since 2013 as a Research Fellow with Prof. Lee Cronin. In 2014 he was appointed Assistant Professor at the University of Nottingham.

Expertise Summary

Victor Sans has an interdisciplinary background in the interphase between Chemistry and Engineering with expertise and interests in a range of areas, including heterogeneous catalysis, process intensification, real-time analytics and intelligent algorithms.

Teaching Summary

Module convenor of:

H83RED Reactor Design

H81CIE Chemistry in the Environment

Research Summary

My current research interests are based on a bottom-up process design that includes four interconnected areas:

1. Advanced Chemistry: Focused on the development of advanced materials with applications in catalysis to developing high added value chemical processes with applications ranging from fine and pharma industry, nanomaterial synthesis and biofeedstock processing industries.

2. Reaction Engineering: Development of intensified process reactors employing novel manufacturing techniques (3D-printing). Continuous-flow compact scale platforms employing structured catalysts (metallic, organometallic, nanostructured and biocatalysts) for complex chemical transformations.

3. Real-time analytics. The integration of real-time analytics an PAT, especially spectroscopic techniques enables the rapid generation of data, information and knowledge about the process studied and the rapid optimisation of the process.

4. Intelligent algorithms. The development and adaptation of algorithms to tailored complex chemical problems enables to develop innovative solutions to chemical manufacturing processes.

Selected Publications

Faculty of Engineering

The University of Nottingham
University Park
Nottingham, NG7 2RD



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