Quantitative volatilomics identifies robust multi-class markers for hazelnut shelf-life monitoring in a multi-year industrial GC×GC study
- DOI
- 10.1016/j.foodres.2026.120517
- Published
- 2026-11
- Container
- Food Research International
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.foodres.2026.120517,
title = {Quantitative volatilomics identifies robust multi-class markers for hazelnut shelf-life monitoring in a multi-year industrial GC×GC study},
author = {Sara Tanilli and Jiaqi Zhou and Simone Squara and Angelica Fina and Erica Liberto and Katrina Campbell and Giuseppe Genova and Cristina Casetta and Chiara Cordero and Andrea Caratti},
year = {2026},
journal = {Food Research International},
doi = {10.1016/j.foodres.2026.120517},
url = {https://doi.org/10.1016/j.foodres.2026.120517}
}RIS
TY - JOUR TI - Quantitative volatilomics identifies robust multi-class markers for hazelnut shelf-life monitoring in a multi-year industrial GC×GC study AU - Sara Tanilli AU - Jiaqi Zhou AU - Simone Squara AU - Angelica Fina AU - Erica Liberto AU - Katrina Campbell AU - Giuseppe Genova AU - Cristina Casetta AU - Chiara Cordero AU - Andrea Caratti PY - 2026 JO - Food Research International DO - 10.1016/j.foodres.2026.120517 UR - https://doi.org/10.1016/j.foodres.2026.120517 ER -
APA
Tanilli, S., Zhou, J., Squara, S., Fina, A., Liberto, E., Campbell, K., Genova, G., Casetta, C., Cordero, C., & Caratti, A. (2026). Quantitative volatilomics identifies robust multi-class markers for hazelnut shelf-life monitoring in a multi-year industrial GC×GC study. Food Research International. https://doi.org/10.1016/j.foodres.2026.120517
Source records
- crossref · retrieved 2026-11-10T18:15:44.909Z