Because of the high complexity of petroleomic-type samples, there is a need for efficient ways of visualizing and interpreting the resulting data in mass spectrometry-based petroleomics. Over the years, several graphing approaches have become widespread, yet they mostly deal with a particular subset of compounds detected within a given sample. Here, we present an alternative and complementary sample visualization method, the hexagonal class representation, based on relative abundance vs compound classes plot. The representation can be used to fingerprint a petroleomic-type sample, provide a simple means of sample comparison, as well as allow for a fast overview and detection of any compound of interest based on its elemental composition and chemical properties.
Jian Wang, Matthias Finger, Qian Wang, Yiming Li, João Miguel das Neves Duarte, Matthias Wolf, Varun Sharma, Yi Zhang, Tian Cheng, Yixing Chen, Alexis Kalogeropoulos, Ioannis Papadopoulos, Hua Zhang, Siyuan Wang, Xin Chen, Michele Bianco, Sebastiana Gianì, Sun Hee Kim, Davide Di Croce, Jian Zhao, Rakesh Chawla, Jan Steggemann, Konstantin Androsov, Anna Mascellani, Federica Legger, Matteo Galli, Gabriele Grosso