Evidence map›Paper›PMID 40814357›Full record

ArticleAdvanced materials technologies2025

Design of Modular, 3D-Printed Millifluidic Mixers to Enable Sequential NanoPrecipitation (SNaP) for the Tunable Synthesis of Drug-Loaded Nanoparticles and Microparticles.

Thomas Belinky, Nouha El Amri, Parker K Lewis, Allie Karakosta, Rachel E Pollard, Nathalie M Pinkerton

Abstract read
In one paragraph

Article in Advanced materials technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Engineering Nanoscale Drug Delivery Systems for Pain.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Thomas BelinkyDepartment of Chemical and Biomolecular Engineering, Tandon School of Engineering, New York University, NY, 11201, USA.
Nouha El AmriDepartment of Chemical and Biomolecular Engineering, Tandon School of Engineering, New York University, NY, 11201, USA.
Parker K LewisDepartment of Chemical and Biomolecular Engineering, Tandon School of Engineering, New York University, NY, 11201, USA.
Allie KarakostaDepartment of Chemical and Biomolecular Engineering, Tandon School of Engineering, New York University, NY, 11201, USA.
Rachel E PollardDepartment of Chemical and Biomolecular Engineering, Tandon School of Engineering, New York University, NY, 11201, USA.
Nathalie M PinkertonDepartment of Chemical and Biomolecular Engineering, Tandon School of Engineering, New York University, NY, 11201, USA.

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MARK Reid PHILIPS · 1985 to 2026
$83.1M
Targeting Endosomal Receptors for Treatment of Chronic PainR01DE029951 · NIDCR · NEW YORK UNIVERSITY · PI BUNNETT, NIGEL W, SCHMIDT, BRIAN L · 2020 to 2024
$4.7M
NCI NIH HHS P30 CA016087NIDCR NIH HHS R01 DE029951
6 · The paper itself

Abstract

Sequential NanoPrecipitation (SNaP) is a nascent controlled precipitation process for the tunable formation of polymeric particles for drug delivery and bioimaging. While SNaP relies on the same self-assembly principles as one-step Flash NanoPrecipitation, SNaP is a two-step assembly process in which the particle core is formed during a first mixing step followed by particle stabilization in a second mixing step. Decoupling the particle assembly steps improves control over the particle structure and, as we demonstrate for the first time, expands the attainable particle size range to include microparticles. Current SNaP experimental set-ups use commercial millifluidic mixers connected in series that suffer from several drawbacks including the inability to access short inter-mixer delay times. Here, we develop a robust 3D-printed, modular mixer design that enables access to short delay times (< 25 ms) not previously accessible. We prove empirically for the first time that the inter-mixer delay time is a key parameter for particle size control and that the nanoparticle size scales with delay time in agreement with Smoluchowski's model of diffusion-limited growth. We demonstrate the formation of polymeric particles ranging in size from 160 nm to 1.2 μm. Finally, we establish the versatility and applicability of our mixer design by encapsulating fluorophores and therapeutics into particles for the first time via SNaP.

Indexed as

3D printingcontrolled drug deliveryflash nanoprecipitationmicroparticlemillifluidic mixer designnanoparticlesequential nanoprecipitation

Identifiers

PMID40814357
PMCPMC12346377

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.