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Best Practices and Pitfalls in Developing Nanomaterial Delivery Tools for Plants.

Henry J Squire¹, Sophia Tomatz², Jeffery Wei-Ting Wang¹

¹Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, California 94720, United States.

|December 29, 2024

Summary

Nanomaterials can deliver DNA, RNA, and proteins to plants, but standardized methods are lacking. This perspective offers best practices for developing plant nanomaterial delivery tools for biotechnology.

Keywords:

Plant biotechnology biomolecule delivery confocal microscopy drug delivery nanomaterial delivery tools

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Peptide-derived Method to Transport Genes and Proteins Across Cellular and Organellar Barriers in Plants

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Published on: December 16, 2016

Area of Science:

Plant biotechnology
Nanotechnology
Molecular biology

Background:

Nanomaterial-assisted delivery of biomolecules to plants is a rapidly growing field.
Established best practices for clinical/animal cell delivery do not directly translate to plants.
Plants present unique challenges due to their distinct tissue structures and cellular morphology.

Purpose of the Study:

To provide recommendations for developing and validating nanomaterial delivery tools for plants.
To highlight potential pitfalls in the creation of these tools.
To improve the rigor and practical application of nanomaterial delivery in plant science.

Main Methods:

This perspective synthesizes current knowledge and expert opinion.
It draws parallels and distinctions from established clinical/animal cell delivery protocols.
Recommendations are based on the unique biological context of plant systems.

Main Results:

Lack of standardized protocols hinders the reliable development of nanomaterial delivery systems for plants.
Plant-specific considerations are crucial for successful cargo delivery.
Addressing these challenges will accelerate the field's progress.

Conclusions:

Establishing best practices is essential for the advancement of plant nanomaterial delivery.
Standardized methods will enable more robust and reproducible research.
This work aims to guide future development toward practical applications in plant biotechnology.