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Integrating machine learning interpretation methods for investigating nanoparticle uptake during seed priming and its
Hengjie Yu1, Zhilin Zhao1, Da Liu1
1College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, P.R. China. fcheng@zju.edu.cn.
Nanoscale
|September 16, 2022
Summary
Seed priming with nanoparticles enhances crop growth and stress resilience. Machine learning revealed that nanoparticle concentration and ionic strength control uptake, crucial for understanding effects on seed germination and sustainable agriculture.
Area of Science:
- Agricultural Science
- Environmental Science
- Materials Science
Background:
- Nanoparticle seed priming offers eco-friendly solutions for malnutrition and crop enhancement.
- Knowledge gaps exist regarding nanoparticle uptake mechanisms and physiological effects.
- Machine learning (ML) shows promise for understanding nanoparticle biological impacts, but interpretability remains a challenge.
Purpose of the Study:
- To investigate factors influencing zinc oxide (ZnO) nanoparticle uptake during seed priming.
- To elucidate the physiological mechanisms underlying nanoparticle uptake and its effects on seed germination.
- To integrate ML interpretation methods for understanding nanoparticle-seed interactions.
Main Methods:
- Systematic investigation of nanoparticle, priming solution, and seed properties.
- Application of integrated post hoc and model-based ML interpretation.
- Analysis of factors affecting ZnO nanoparticle uptake and subsequent seed germination.
Main Results:
- Nanoparticle concentration and ionic strength significantly influence shoot fresh weight by controlling uptake.
- ZnO nanoparticle uptake slowed considerably above 50 mg L-1 concentration.
- While zeta potential and hydrodynamic diameter showed no direct effect on uptake, their biological impacts warrant consideration.
Conclusions:
- Understanding nanoparticle uptake mechanisms is key to optimizing seed priming for sustainable agriculture.
- Integrated ML interpretation aids in deciphering complex nanoparticle-seed interactions.
- This research supports a safer-by-design strategy for nanomaterials in agriculture.
