Growth responses of tomato plants (<i>Solanum lycopersicum</i>) to aluminium and nickel from nanoparticle suspensions and ionic solutions-Reference-Cited by-同舟云学术

Growth responses of tomato plants (Solanum lycopersicum) to aluminium and nickel from nanoparticle suspensions and ionic solutions

Published:2022-10-15 Issue: Volume: Page:1-19
ISSN:1532-0383
Container-title:Soil and Sediment Contamination: An International Journal
language:en
Short-container-title:Soil and Sediment Contamination: An International Journal

Author:

Coll Tamara Anahí¹,Perez Catán Soledad²,Gosatti Marina²,Moyano Aldana¹,Guraya Monica²,Pérez Coll Cristina¹³,Fonovich Teresa Mabel¹

Affiliation:

1. School of Science and Technology, National University of San Martín, San Martín, Argentina

2. Nuclear Engineering, Neutron Activation Analysis Division, National Atomic Energy Commission (CNEA) - Bariloche Atomic Center, Bariloche, Argentina

3. Institute of Research and Environmental Engineering, IIIA, National University of San Martín, CONICET, 3iA MigueleteCampus, San Martín, Argentina

Funder

Science, Technology and Innovation Ministry

Publisher

Informa UK Limited

Subject

Health, Toxicology and Mutagenesis,Pollution,Soil Science,Environmental Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/15320383.2022.2134293

Reference33 articles.

1. Towards a knowledge-based correction of iron chlorosis

2. Diversity and plant growth-promoting functions of diazotrophic/N-scavenging bacteria isolated from the soils and rhizospheres of two species of Solanum

3. Plant Responses to Environmental Nickel Toxicity

4. Bardi, H. M. 2020. Tratamiento de suelos con metales presentes en nanomateriales de base gamma alúmina. Retención y disponibilidad de Aluminio, Hierro y Níquel. Magister thesis. National University of San Martin. 1-52.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence/machine learning-assisted near-infrared/optical biosensing for plant phenotyping;Machine Learning and Artificial Intelligence in Chemical and Biological Sensing;2024