Researchers discover a new, rapid method to fabricate nanoparticles

NewsGuard 100/100 Score

Northwestern University researchers are casting a net for nanoparticles.

The team has discovered a new, rapid method for fabricating nanoparticles from a simple, self-assembling polymer.

The novel method presents new possibilities for diverse applications, including water purification, diagnostics and rapidly generating vaccine formulations, which typically require many different types of molecules to be either captured or delivered at the same time.

Using a polymer net that collapses into nanoscale hydrogels (or nanogels), the method efficiently captures over 95% of proteins, DNA or small molecule drugs -- alone or in combinations. By comparison, loading efficiency is typically between 5% and 20% for other nanoparticle delivery systems.

"We use a polymer that forms a wide net throughout an aqueous solution," said Northwestern's Evan A. Scott, who led the study. "Then we induce the net to collapse. It collects anything within the solution, trapping therapeutics inside of nanogel delivery vehicles with very high efficiency."

"It works like a fishing net, which first spreads out due to electrostatic repulsion and then shrinks upon hydration to trap 'fish,'" added Fanfan Du, a postdoctoral fellow in Scott's laboratory.

The paper was published last week (Sept. 29) in the journal Nature Communications.

Scott is the Kay Davis Professor of Biomedical Engineering at Northwestern's McCormick School of Engineering. Northwestern professors Monica Olvera de la Cruz and Vinayak Dravid coauthored the paper.

Molecules found in nature, such as DNA and peptides, can rapidly self-assemble and organize into diverse structures. Mimicking this process using human-made polymer systems, however, has remained limited.

Previously developed processes for self-assembling drug delivery systems are time consuming, labor intensive and difficult to scale. The processes also tend to be woefully inefficient, culminating in a small fraction of the drug actually making it inside the delivery system.

"Clinical application of self-assembled nanoparticles has been limited by difficulties with scalability and with loading large or multiple therapeutics, especially proteins," Scott said. "We present a highly scalable mechanism that can stably load nearly any therapeutic molecule with high efficiency."

Scott's team found success by using a polypropylene sulfone (PPSU) homopolymer, which is highly soluble in dimethylsulfoxide (DMSO) solution, but forms electrostatic and hydrophilic aggregates in water. The aggregates are amphiphilic, which causes them to assemble into networks and eventually collapse into gels.

Adding more water induces the network to collapse, leading to the formation of nanogels. The manner in which water is added affects the PPSU chain formation, which changes the nanogels' size and structure."

Fanfan Du, Postdoctoral Fellow, Scott's Laboratory

Atomistic simulations -- performed by Baofu Qiao in the Olvera de la Cruz group -- confirmed that the nanostructures were stabilized by weak sulfone-sulfone bonding. Using coarse-grained simulations performed by Northwestern postdoctoral fellow Trung Dac Nguyen, the researchers observed the nanonet structures. This opens a new avenue for soft materials assembly by means of sulfone-sulfone bonding.

In addition to drug delivery applications, the researchers also believe the novel method could be used for water purification. The network could collapse to collect contaminants in water, leaving pure water behind.

Source:
Journal reference:

Du, F., et al. (2020) Homopolymer self-assembly of poly(propylene sulfone) hydrogels via dynamic noncovalent sulfone–sulfone bonding. Nature Communications. doi.org/10.1038/s41467-020-18657-5.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Researchers identify key barriers and outline recommendations for vaccine uptake in pregnant women