Integrated GC-MS, LC-MS/MS and FTIR-deep-learning analysis for chemical differentiation and rapid discrimination of four porcini mushroom species.
- DOI
- 10.1016/j.talanta.2026.130595
- Published
- 2026 Sep 4
- Container
- Talanta
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.talanta.2026.130595,
title = {Integrated GC-MS, LC-MS/MS and FTIR-deep-learning analysis for chemical differentiation and rapid discrimination of four porcini mushroom species.},
author = {Zheng C and Li J and Liu H and Wang Y},
year = {2026},
journal = {Talanta},
doi = {10.1016/j.talanta.2026.130595},
url = {https://doi.org/10.1016/j.talanta.2026.130595}
}RIS
TY - JOUR TI - Integrated GC-MS, LC-MS/MS and FTIR-deep-learning analysis for chemical differentiation and rapid discrimination of four porcini mushroom species. AU - Zheng C AU - Li J AU - Liu H AU - Wang Y PY - 2026 JO - Talanta DO - 10.1016/j.talanta.2026.130595 UR - https://doi.org/10.1016/j.talanta.2026.130595 ER -
APA
C, Z., J, L., H, L., & Y, W. (2026). Integrated GC-MS, LC-MS/MS and FTIR-deep-learning analysis for chemical differentiation and rapid discrimination of four porcini mushroom species.. Talanta. https://doi.org/10.1016/j.talanta.2026.130595
Source records
- pubmed · retrieved 2026-09-25T23:49:54.100Z