Discrimination on potential adulteration of honey by differential scanning calorimetry (DSC) and graph-based semi-supervised learning (GSSL).

Huang K, Huang K, Bai T, Xue X, He P, Xu B

Open source

DOI
10.1016/j.foodchem.2025.144490
Published
2025 Sep 1
Container
Food chemistry
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.foodchem.2025.144490,
  title = {Discrimination on potential adulteration of honey by differential scanning calorimetry (DSC) and graph-based semi-supervised learning (GSSL).},
  author = {Huang K and Huang K and Bai T and Xue X and He P and Xu B},
  year = {2025},
  journal = {Food chemistry},
  doi = {10.1016/j.foodchem.2025.144490},
  url = {https://doi.org/10.1016/j.foodchem.2025.144490}
}

RIS

TY  - JOUR
TI  - Discrimination on potential adulteration of honey by differential scanning calorimetry (DSC) and graph-based semi-supervised learning (GSSL).
AU  - Huang K
AU  - Huang K
AU  - Bai T
AU  - Xue X
AU  - He P
AU  - Xu B
PY  - 2025
JO  - Food chemistry
DO  - 10.1016/j.foodchem.2025.144490
UR  - https://doi.org/10.1016/j.foodchem.2025.144490
ER  - 

APA

K, H., K, H., T, B., X, X., P, H., & B, X. (2025). Discrimination on potential adulteration of honey by differential scanning calorimetry (DSC) and graph-based semi-supervised learning (GSSL).. Food chemistry. https://doi.org/10.1016/j.foodchem.2025.144490

Source records