Rapid analysis of meat floss origin using a supervised machine learning-based electronic nose towards food authentication
- DOI
- 10.1038/s41538-023-00205-2
- Published
- 2023-06-16
- Container
- npj Science of Food
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41538-023-00205-2,
title = {Rapid analysis of meat floss origin using a supervised machine learning-based electronic nose towards food authentication},
author = {Linda Ardita Putri and Iman Rahman and Mayumi Puspita and Shidiq Nur Hidayat and Agus Budi Dharmawan and Aditya Rianjanu and Sunu Wibirama and Roto Roto and Kuwat Triyana and Hutomo Suryo Wasisto},
year = {2023},
journal = {npj Science of Food},
doi = {10.1038/s41538-023-00205-2},
url = {https://doi.org/10.1038/s41538-023-00205-2}
}RIS
TY - JOUR TI - Rapid analysis of meat floss origin using a supervised machine learning-based electronic nose towards food authentication AU - Linda Ardita Putri AU - Iman Rahman AU - Mayumi Puspita AU - Shidiq Nur Hidayat AU - Agus Budi Dharmawan AU - Aditya Rianjanu AU - Sunu Wibirama AU - Roto Roto AU - Kuwat Triyana AU - Hutomo Suryo Wasisto PY - 2023 JO - npj Science of Food DO - 10.1038/s41538-023-00205-2 UR - https://doi.org/10.1038/s41538-023-00205-2 ER -
APA
Putri, L. A., Rahman, I., Puspita, M., Hidayat, S. N., Dharmawan, A. B., Rianjanu, A., Wibirama, S., Roto, R., Triyana, K., & Wasisto, H. S. (2023). Rapid analysis of meat floss origin using a supervised machine learning-based electronic nose towards food authentication. npj Science of Food. https://doi.org/10.1038/s41538-023-00205-2
Source records
- crossref · retrieved 2026-11-04T22:27:24.969Z