Comprehensive chemical fingerprinting by LC×LC-fluorescence and data-driven chemometric modelling for unsupervised classification
- DOI
- 10.1016/j.talanta.2025.129301
- Published
- 2026-05
- Container
- Talanta
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.talanta.2025.129301,
title = {Comprehensive chemical fingerprinting by LC×LC-fluorescence and data-driven chemometric modelling for unsupervised classification},
author = {Mirta R. Alcaraz and Elisabet Martín-Tornero and Héctor C. Goicoechea and Arsenio Muñoz de la Peña and Isabel Durán-Merás},
year = {2026},
journal = {Talanta},
doi = {10.1016/j.talanta.2025.129301},
url = {https://doi.org/10.1016/j.talanta.2025.129301}
}RIS
TY - JOUR TI - Comprehensive chemical fingerprinting by LC×LC-fluorescence and data-driven chemometric modelling for unsupervised classification AU - Mirta R. Alcaraz AU - Elisabet Martín-Tornero AU - Héctor C. Goicoechea AU - Arsenio Muñoz de la Peña AU - Isabel Durán-Merás PY - 2026 JO - Talanta DO - 10.1016/j.talanta.2025.129301 UR - https://doi.org/10.1016/j.talanta.2025.129301 ER -
APA
Alcaraz, M. R., Martín-Tornero, E., Goicoechea, H. C., Peña, A. M. D. L., & Durán-Merás, I. (2026). Comprehensive chemical fingerprinting by LC×LC-fluorescence and data-driven chemometric modelling for unsupervised classification. Talanta. https://doi.org/10.1016/j.talanta.2025.129301
Source records
- crossref · retrieved 2026-09-25T12:31:50.963Z