Machine learning-assisted prediction of beef spoilage using full-spectrum FTIR gas analysis
- DOI
- 10.1016/j.saa.2026.128426
- Published
- 2026-12
- Container
- Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.saa.2026.128426,
title = {Machine learning-assisted prediction of beef spoilage using full-spectrum FTIR gas analysis},
author = {Sooyeol Phyo and Berkay Yesildagli and Soyoung Lee and Gyeongrok Min and Seongbin Lee and Saeyeon Jung and Han-Kyu Choi and Jiwon Lee},
year = {2026},
journal = {Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy},
doi = {10.1016/j.saa.2026.128426},
url = {https://doi.org/10.1016/j.saa.2026.128426}
}RIS
TY - JOUR TI - Machine learning-assisted prediction of beef spoilage using full-spectrum FTIR gas analysis AU - Sooyeol Phyo AU - Berkay Yesildagli AU - Soyoung Lee AU - Gyeongrok Min AU - Seongbin Lee AU - Saeyeon Jung AU - Han-Kyu Choi AU - Jiwon Lee PY - 2026 JO - Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy DO - 10.1016/j.saa.2026.128426 UR - https://doi.org/10.1016/j.saa.2026.128426 ER -
APA
Phyo, S., Yesildagli, B., Lee, S., Min, G., Lee, S., Jung, S., Choi, H., & Lee, J. (2026). Machine learning-assisted prediction of beef spoilage using full-spectrum FTIR gas analysis. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. https://doi.org/10.1016/j.saa.2026.128426
Source records
- crossref · retrieved 2026-09-25T05:04:10.368Z