Machine learning combined with HS-GC-IMS and HS-SPME-GC-MS volatile fingerprinting for rapid discrimination of Listeria monocytogenes and Cronobacter sakazakii in contaminated chicken meat.
- DOI
- 10.1016/j.foodres.2026.120872
- Published
- 2026 Dec 1
- Container
- Food research international (Ottawa, Ont.)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.foodres.2026.120872,
title = {Machine learning combined with HS-GC-IMS and HS-SPME-GC-MS volatile fingerprinting for rapid discrimination of Listeria monocytogenes and Cronobacter sakazakii in contaminated chicken meat.},
author = {Guo Y and Wang L and Zhou L and Mu X and Zhang J and Cao W and Wang Y},
year = {2026},
journal = {Food research international (Ottawa, Ont.)},
doi = {10.1016/j.foodres.2026.120872},
url = {https://doi.org/10.1016/j.foodres.2026.120872}
}RIS
TY - JOUR TI - Machine learning combined with HS-GC-IMS and HS-SPME-GC-MS volatile fingerprinting for rapid discrimination of Listeria monocytogenes and Cronobacter sakazakii in contaminated chicken meat. AU - Guo Y AU - Wang L AU - Zhou L AU - Mu X AU - Zhang J AU - Cao W AU - Wang Y PY - 2026 JO - Food research international (Ottawa, Ont.) DO - 10.1016/j.foodres.2026.120872 UR - https://doi.org/10.1016/j.foodres.2026.120872 ER -
APA
Y, G., L, W., L, Z., X, M., J, Z., W, C., & Y, W. (2026). Machine learning combined with HS-GC-IMS and HS-SPME-GC-MS volatile fingerprinting for rapid discrimination of Listeria monocytogenes and Cronobacter sakazakii in contaminated chicken meat.. Food research international (Ottawa, Ont.). https://doi.org/10.1016/j.foodres.2026.120872
Source records
- pubmed · retrieved 2026-11-10T16:32:29.567Z