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Cited by 292

The DOI matches its Crossref record; 160 of the 160 references it cites were found in a registry or an index.

Nanoparticles in Agroindustry: Applications, Toxicity, Challenges, and Trends

Open access
Paramo, Luis A., Feregrino-Pérez, Ana A., Guevara, Ramón, Mendoza, Sandra, Esquivel, Karen·2020·Nanomaterials

Abstract

Nanotechnology is a tool that in the last decade has demonstrated multiple applications in several sectors, including agroindustry. There has been an advance in the development of nanoparticulated systems to be used as fertilizers, pesticides, herbicides, sensors, and quality stimulants, among other applications. The nanoencapsulation process not only protects the active ingredient but also can affect the diffusion, interaction, and activity. It is important to evaluate the negative aspects of the use of nanoparticles (NPs) in agriculture. Given the high impact of the nanoparticulated systems in the agro-industrial field, this review aims to address the effects of various nanomaterials on the morphology, metabolomics, and genetic modification of several crops.

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Registry

Crossref · 10.3390/nano10091654

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Metadata

Authors
Paramo, L. A., Feregrino-Pérez, A. A., Guevara, R., Mendoza, S., & Esquivel, K.
Venue
Nanomaterials
Publisher
MDPI AG
Published
2020-08-23
Volume
10
Issue
9
Pages
1654
ISSN
2079-4991 (ISSN-L)
OpenAlex
W3080297792
Cited by
292
References
160
FWCI
11.50
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Nanoparticles in Agroindustry: Applications, Toxicity, Challenges, and Trends. https://app.cochat.ai/papers/10.3390/nano10091654
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Paramo, L. A., Feregrino-Pérez, A. A., Guevara, R., Mendoza, S., & Esquivel, K. (2020). Nanoparticles in Agroindustry: Applications, Toxicity, Challenges, and Trends. Nanomaterials. https://doi.org/10.3390/nano10091654

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.