Comparison of sample preparation techniques for the (--)ESI-FT-ICR-MS analysis of humic and fulvic acids.

: Soil organic matter (SOM) plays a key role in the global carbon and nitrogen cycles. Soil biogeochemistry is regularly studied by extracting the base-soluble fractions of SOM: acidinsoluble humic acid (HA) and acid-soluble fulvic acid (FA). Electrospray ionization−Fourier transform−ion cyclotron resonance−mass spectrometry (ESI-FT-ICR-MS) is commonly utilized for molecularly characterizing these fractions. Different sample preparation techniques exist for the analysis of HA and FA though questions remain regarding data comparability following different preparations. Comparisons of different sample preparation techniques here revealed that the negative-mode ESI-FT-ICRMS analytical window can be skewed to detect different groups of molecules, with primary differences in oxygenation, aromaticity, and molecular weight. It was also observed that HA and FA from soils versus an aquatic matrix behaved very differently. Thus, we conclude that sample preparation techniques determined to be ?most optimal? in our study are in no way universal. We recommend that future studies of HA and FA involve similar comparative studies for determining the most suitable sample preparation technique for their particular type of HA or FA matrices. This will enhance data comparability among different studies and environmental systems and ultimately allow us to better understand the complex composition of environmental matrices.

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Detalhes bibliográficos
Principais autores: GORANOV, A. I., TADINI, A. M., MARTIN NETO, L., BERNARDI, A. C. de C., PEZZOPANE, J. R. M., MILORI, D. M. B. P., MOUNIER, S., HATCHER, P. G.
Outros Autores: LADISLAU MARTIN NETO, CNPDIA; ALBERTO CARLOS DE CAMPOS BERNARDI, CPPSE; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; DEBORA MARCONDES BASTOS PEREIRA, CNPDIA.
Formato: Artigo de periódico biblioteca
Idioma:Ingles
English
Publicado em: 2022-09-28
Assuntos:FT-ICR-MS, Organic matter characterization, Electrospray ionization, Data comparability,
Acesso em linha:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1146932
https://doi.org/10.1021/acs.est.2c01125
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