Assessment of artificial neural network to identify compositional differences in ultrahigh-resolution mass spectra acquired from coal mine affected soils-Reference-Cited by-同舟云学术

Assessment of artificial neural network to identify compositional differences in ultrahigh-resolution mass spectra acquired from coal mine affected soils

Published:2022-10 Issue: Volume:248 Page:123623
ISSN:0039-9140
Container-title:Talanta
language:en
Short-container-title:Talanta

Author:

Solihat Nissa Nurfajrin^ORCID,Son Seungwoo^ORCID,Williams Elizabeth K.^ORCID,Ricker Matthew C.^ORCID,Plante Alain F.^ORCID,Kim Sunghwan^ORCID

Publisher

Elsevier BV

Subject

Analytical Chemistry

Reference35 articles.

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2. Diverse molecular compositions of dissolved organic matter derived from different composts using ESI FT-ICR MS;Liu;Res. J. Environ. Sci.,2021

3. Molecular-scale investigation with ESI-FT-ICR-MS on fractionation of dissolved organic matter induced by adsorption on iron oxyhydroxides;Lv;Environ. Sci. Technol.,2016

4. Profiling murchison soluble organic matter for new organic compounds with APPI- and ESI-FT-ICR MS;Hertzog;Life,2019

5. Graphical method for analysis of ultrahigh-resolution broadband mass spectra of natural organic matter, the van krevelen diagram;Kim;Anal. Chem.,2003

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