Infrared spectroscopy for fuel fraud detection – building reproducible data analysis protocol

Abstract

Brief introduction of using infrared spectroscopy for fuel fraud detection. Presentation of available sampling techniques for liquid samples (flow cells, ATR mode). Pointing the key issues in the experiment design and data processing for the reproducible research.

Krzysztof Banas

Principal Research Fellow

I work as beam-line scientist at Singapore Synchrotron Light Source. My research interests include application of advanced statistical methods for hyperspectral data processing (dimension reduction, clustering and identification).