Quantifying Soil Total Inorganic Carbon Using Shifted-Excitation Raman Difference Spectroscopy (SERDS) and Machine Learning.

Poursorkh Z, Solomatova N, Cole C, Yamaoka N, Fosberry M, Shokatian S, Grant E

DOI: 10.1021/acs.analchem.6c03047
Published: 2026 Sep 1
Container: Analytical chemistry
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.analchem.6c03047,
  title = {Quantifying Soil Total Inorganic Carbon Using Shifted-Excitation Raman Difference Spectroscopy (SERDS) and Machine Learning.},
  author = {Poursorkh Z and Solomatova N and Cole C and Yamaoka N and Fosberry M and Shokatian S and Grant E},
  year = {2026},
  journal = {Analytical chemistry},
  doi = {10.1021/acs.analchem.6c03047},
  url = {https://doi.org/10.1021/acs.analchem.6c03047}
}

RIS

TY  - JOUR
TI  - Quantifying Soil Total Inorganic Carbon Using Shifted-Excitation Raman Difference Spectroscopy (SERDS) and Machine Learning.
AU  - Poursorkh Z
AU  - Solomatova N
AU  - Cole C
AU  - Yamaoka N
AU  - Fosberry M
AU  - Shokatian S
AU  - Grant E
PY  - 2026
JO  - Analytical chemistry
DO  - 10.1021/acs.analchem.6c03047
UR  - https://doi.org/10.1021/acs.analchem.6c03047
ER  -

APA

Z, P., N, S., C, C., N, Y., M, F., S, S., & E, G. (2026). Quantifying Soil Total Inorganic Carbon Using Shifted-Excitation Raman Difference Spectroscopy (SERDS) and Machine Learning.. Analytical chemistry. https://doi.org/10.1021/acs.analchem.6c03047

Source records

pubmed · retrieved 2026-09-25T20:30:28.663Z