Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Quantifying metal transferability in soil and its relationship to metal-related health risks in the strawberry (Fragaria × ananassa)-human food chain
Related
- Regime-aware retrieval of lower-tropospheric stability and a sensitivity-weighted diagnostic of cross-site transferability over heterogeneous land surfaces
- A machine learning model for early season wildfire risk in Ghana’s Guinea savannah assessing discrimination, operational prevalence, spatial transferability, and CMIP6 climate scenarios
- Assessment of Stability of Preservation Techniques for Strawberry Soil Microbiomes: Exploring the Biotechnological Relevance for Sustainable Agriculture
- Transferability of ML emulators for polar RCM surface melt under different forcings: Limitations and recommendations
- Machine learning surrogates for flash flood hazard mapping: CSI-optimized feature selection and spatial transferability
BibTeX
@article{yang2026quantifying,
title = {{Quantifying metal transferability in soil and its relationship to metal-related health risks in the strawberry (Fragaria × ananassa)-human food chain}},
author = {Lanqin Yang and Hui Yang and Hong Liu and Yuanming Wang and Benle Liu},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-73319-8},
url = {https://www.nature.com/articles/s41598-026-73319-8},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Quantifying metal transferability in soil and its relationship to metal-related health risks in the strawberry (Fragaria × ananassa)-human food chain
AU - Lanqin Yang
AU - Hui Yang
AU - Hong Liu
AU - Yuanming Wang
AU - Benle Liu
PY - 2026
DA - 2026/10/02
JO - Scientific Reports
DO - 10.1038/s41598-026-73319-8
UR - https://www.nature.com/articles/s41598-026-73319-8
SN - 2045-2322
ER -