Evidence map›Paper›PMID 34841599›Full record

ReviewChemistry (Weinheim an der Bergstrasse, Germany)2022

Mild Microfluidic Approaches to Oxide Nanoparticles Synthesis.

Paolo Zardi, Tommaso Carofiglio, Michele Maggini

Abstract readReview
In one paragraph

Review in Chemistry (Weinheim an der Bergstrasse, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. New 3D Spiral Microfluidic Platform Tested for FeMolecules (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Article
  6. Synthesis of CuACS omega · 2023
    Article
  7. Mild Microfluidic Approaches to Oxide Nanoparticles Synthesis.Chemistry (Weinheim an der Bergstrasse, Germany) · 2022
    Review
  8. 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

3 authors.

Paolo ZardiDepartment of Chemical Sciences, University of Padova, Via Francesco Marzolo 1, 35131, Padova, Italy.ORCID http://orcid.org/0000-0001-5716-5672
Tommaso CarofiglioDepartment of Chemical Sciences, University of Padova, Via Francesco Marzolo 1, 35131, Padova, Italy.ORCID http://orcid.org/0000-0002-4648-1458
Michele MagginiDepartment of Chemical Sciences, University of Padova, Via Francesco Marzolo 1, 35131, Padova, Italy.ORCID http://orcid.org/0000-0001-8149-5903

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca Project NexUS-Department of Excellence 2018-2022
6 · The paper itself

Abstract

Oxide nanoparticles (oxide NPs) are advanced materials with a wide variety of applications in different fields. The use of continuous flow methods is particularly appealing for their synthesis due to the high control achieved over the reaction conditions and the easy process scalability. The present review focuses on the preparation of oxide NPs using microfluidic setups at low temperature (≤80 °C), since the employment of mild reaction conditions is crucial for developing sustainable and cost-effective processes. A particular emphasis will be put on the improvement over the final product features (e. g., size, shape, and size distribution) given by flow methods with respect to conventional batch procedures. The main issues that arise by treating NPs suspensions in microfluidic systems are product deposition or channel clogging; mitigation strategies to overcome these drawbacks will also be presented and discussed.

Indexed as

MicrofluidicsNanoparticlesOrganic ChemicalsOxidesOrganic ChemicalsOxidescontinuous flowlow temperature synthesismicrofluidicnanoparticlesoxide

Identifiers

PMID34841599
PMCPMC9300203

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.