A Meta-learning-driven strategy for adulteration detection in sweet potato starch and vermicelli using Raman spectroscopy

Xijun Wu, Tianhao Du, Shibo Du, Congyu Lei, Heying Zhang, Xuan Zheng, Ruiling Tian

Open source

DOI
10.1016/j.foodchem.2026.150365
Published
2026-10
Container
Food Chemistry
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.foodchem.2026.150365,
  title = {A Meta-learning-driven strategy for adulteration detection in sweet potato starch and vermicelli using Raman spectroscopy},
  author = {Xijun Wu and Tianhao Du and Shibo Du and Congyu Lei and Heying Zhang and Xuan Zheng and Ruiling Tian},
  year = {2026},
  journal = {Food Chemistry},
  doi = {10.1016/j.foodchem.2026.150365},
  url = {https://doi.org/10.1016/j.foodchem.2026.150365}
}

RIS

TY  - JOUR
TI  - A Meta-learning-driven strategy for adulteration detection in sweet potato starch and vermicelli using Raman spectroscopy
AU  - Xijun Wu
AU  - Tianhao Du
AU  - Shibo Du
AU  - Congyu Lei
AU  - Heying Zhang
AU  - Xuan Zheng
AU  - Ruiling Tian
PY  - 2026
JO  - Food Chemistry
DO  - 10.1016/j.foodchem.2026.150365
UR  - https://doi.org/10.1016/j.foodchem.2026.150365
ER  - 

APA

Wu, X., Du, T., Du, S., Lei, C., Zhang, H., Zheng, X., & Tian, R. (2026). A Meta-learning-driven strategy for adulteration detection in sweet potato starch and vermicelli using Raman spectroscopy. Food Chemistry. https://doi.org/10.1016/j.foodchem.2026.150365

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