Evidence map›Paper›PMID 36686911›Full record

ArticleRSC advances2023

Large-scale production of polyimide micropore-based flow cells for detecting nano-sized particles in fluids.

Mostafa Salehirozveh, Alessandro Porro, Federico Thei

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 41% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
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 at 2 institutions in 1 country.

Mostafa SalehirozvehDepartment Of Physics And Astronomy, University of Bologna Bologna Italy.ORCID https://orcid.org/0000-0002-2104-7735
Alessandro PorroDepartment of Biosciences, University of Milan Milan Italy.
Federico TheiElements SRL Cesena Italy fthei@elements-ic.com.ORCID https://orcid.org/0000-0002-3959-2002
Azienda-Unita' Sanitaria Locale Di Cesena · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In diagnostic and sequencing applications, solid-state nanopores hold significant promise as a single-molecule sensing platform. The fabrication of precisely sized pores has traditionally been challenging, laborious, expensive, and inefficient, which has limited its applications until recently. To overcome this problem, this paper proposes a novel, reliable, cost-effective, portable, mass-productive, robust, and ease-of-use micropore flow cell that works based on the resistive pulse sensor (RPS) technique in order to distinguish the different sizes of c nanoparticles. RPS is a robust and informative technique that can provide valuable details of the size, shape, charge, and individual particle concentrations in the media. By femtosecond laser drilling of a polyimide substrate as an alternate material, translocation of 100, 300, and 350 nm polystyrene nanoparticles in PBS buffer was distinguished by 0.1, 1, and 2 nA current blockade levels, respectively. This is the first time a micropore has been opened in a polyimide membrane using a femtosecond laser in a single step. The experimental and theoretical investigation, scanning electron microscopy and focused ion beam spectroscopy were performed to comprehensively explain the micropore's performance. We showed that our innovative micropore-based flow cell could distinguish nano-sized particles in fluids, and it can be used in large-scale production because of its simplicity and cost-effectiveness.

Identifiers

PMID36686911
PMCPMC9811244
OpenAlexW4313592604

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.