The particular features of Natural organic matter (NOM) are polydispersity and extreme structural heterogeneity. Application of such a powerful technique as Fourier transform ion cyclotron resonance mass spectrometry (FTICR) to NOM enables to obtain useful molecular level and structural information but produce very complicated spectra; therefore, visual presentation and structural interpretations of the spectra are difficult. Special approaches for visual analysis such as Kendrick mass defect spectrum and van Krevelen diagram is often used to identify major classes of compounds and possible reaction pathways [1,2]. In this study we present a novel approach for visual analysis of FTICR data and finding the relationships between compounds in NOM and the new software (Graph) based on this approach.
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