Integrating microbiome source tracking, machine learning, and precision intervention for data-driven control of microbial contamination in food processing
- DOI
- 10.1016/j.foodres.2026.120937
- Published
- 2026-12
- Container
- Food Research International
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.foodres.2026.120937,
title = {Integrating microbiome source tracking, machine learning, and precision intervention for data-driven control of microbial contamination in food processing},
author = {Shijia Fan and Xiaojie Wang and Zequn Zhang and Jie Wang and Jieyue Zhou and Zhimin Deng and Biao Suo},
year = {2026},
journal = {Food Research International},
doi = {10.1016/j.foodres.2026.120937},
url = {https://doi.org/10.1016/j.foodres.2026.120937}
}RIS
TY - JOUR TI - Integrating microbiome source tracking, machine learning, and precision intervention for data-driven control of microbial contamination in food processing AU - Shijia Fan AU - Xiaojie Wang AU - Zequn Zhang AU - Jie Wang AU - Jieyue Zhou AU - Zhimin Deng AU - Biao Suo PY - 2026 JO - Food Research International DO - 10.1016/j.foodres.2026.120937 UR - https://doi.org/10.1016/j.foodres.2026.120937 ER -
APA
Fan, S., Wang, X., Zhang, Z., Wang, J., Zhou, J., Deng, Z., & Suo, B. (2026). Integrating microbiome source tracking, machine learning, and precision intervention for data-driven control of microbial contamination in food processing. Food Research International. https://doi.org/10.1016/j.foodres.2026.120937
Source records
- crossref · retrieved 2026-11-05T01:41:04.903Z