Literature DB >> 34874727

Data-Based Chemical Class Regions for Van Krevelen Diagrams.

Juliana R Laszakovits1, Allison A MacKay1.   

Abstract

Ultrahigh resolution mass spectrometry (UHR-MS) is commonly used to characterize natural organic matter (NOM). The complexity of both NOM and the data set produced make data visualization challenging. Van Krevelen diagrams─plots of component hydrogen/carbon (H/C) against oxygen/carbon (O/C) elemental ratios─have become a popular way to visualize the chemical formulas identified by UHR-MS. Different regions on the van Krevelen diagram have been attributed to different chemical classes; however, the classifications vary between studies and the regions lack standard definitions. Here, chemical formulas were obtained from public databases to create H/C and O/C ranges for amino sugar, carbohydrate, lignin, lipid, peptide, and tannin chemical classes on van Krevelen diagrams. The recommended H/C and O/C ranges are presented in a table and can be adapted to any data analysis software programs. The regions recommended here agreed reasonably well with previous literature for amino sugar, carbohydrate, lignin, lipid, and peptide regions. However, the recommended tannin region appears at lower H/C ratio values and with a wider range of O/C ratio values compared to previous studies. The regions presented herein are strongly recommended for use as consistent reference points in future NOM characterization studies to aid in the discussion of data and to readily compare studies.

Entities:  

Year:  2021        PMID: 34874727     DOI: 10.1021/jasms.1c00230

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  2 in total

1.  Untargeted metabolomic analysis by ultra-high-resolution mass spectrometry for the profiling of new Italian wine varieties.

Authors:  Alberto Onzo; Maria Assunta Acquavia; Raffaella Pascale; Patrizia Iannece; Carmine Gaeta; Filomena Lelario; Rosanna Ciriello; Carmen Tesoro; Giuliana Bianco; Angela Di Capua
Journal:  Anal Bioanal Chem       Date:  2022-09-19       Impact factor: 4.478

2.  Mass Difference Matching Unfolds Hidden Molecular Structures of Dissolved Organic Matter.

Authors:  Carsten Simon; Kai Dührkop; Daniel Petras; Vanessa-Nina Roth; Sebastian Böcker; Pieter C Dorrestein; Gerd Gleixner
Journal:  Environ Sci Technol       Date:  2022-07-14       Impact factor: 11.357

  2 in total

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