Journal
MACROMOLECULES
Volume 55, Issue 21, Pages 9740-9750Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.macromol.2c01156
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Funding
- Alfred P. Sloan Foundation
- National Institutes of Health-National Institute of Drug Abuse
- CounterACT program [5R21DA050565-02]
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Poly(lactic acid) (PLA) is widely used in biomedical applications due to its biodegradable and biocompatible nature. This study reports a one-pot mechanochemical synthesis method for preparing PLA-based nanoparticles (PLA-NPs), and an artificial neural network algorithm was developed and trained for optimization. The results demonstrate an efficient and waste-reducing method for preparing precisely defined nanoparticles.
Due to its biodegradable and biocompatible nature, poly(lactic acid) (PLA) has found widespread use in biomedical applications. Controlled drug delivery using PLA-based nanoparticles (PLA-NPs) is an important tool for tuning the bioavailability of therapeutics. Traditional methods to prepare PLA-NPs require a multistep process that is time-consuming and produces significant aqueous and organic waste streams. This work reports a one-pot mechanochemical synthesis of lactide to PLA-NPs. In this report, we developed and trained an artificial neural network algorithm to optimize PLA and PLA-NP preparation. Our results demonstrate a robust and optimized one-pot method for preparing precisely defined nanoparticles that generates minimal waste.
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