Evidence map›Paper›PMID 42012461›Full record

ArticleACS applied materials & interfaces2026

3D Impedimetric Microfluidic Membrane-Mimic Cassette (IM3) with Interdigitated Electrodes for Fouling Analysis at Membrane Interfaces.

Najamuddin Naveed Khaja, Sreerag Kaaliveetil, Niranjan Haridas Menon, Sushma Yadav, Chetan Prakash Sharma, Sagnik Basuray

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS applied materials & interfaces, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Najamuddin Naveed KhajaDepartment of Chemical and Materials Engineering, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.ORCID 0009-0006-4213-6020
Sreerag KaaliveetilDepartment of Chemical and Materials Engineering, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.ORCID 0000-0001-8283-4057
Niranjan Haridas MenonDepartment of Chemical and Materials Engineering, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.ORCID 0000-0002-5505-0326
Sushma YadavDepartment of Chemical and Materials Engineering, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.
Chetan Prakash SharmaDepartment of Chemical and Materials Engineering, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.ORCID 0000-0001-9315-2633
Sagnik BasurayDepartment of Chemical and Materials Engineering, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.ORCID 0000-0001-9767-9096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Membrane fouling remains a major challenge in water treatment, biomedical, and pharmaceutical fields, yet understanding its mechanisms at the membrane interface remains difficult. Herein, we report a 3D impedimetric microfluidic membrane-mimic (IM3) cassette that integrates a porous membrane between microfluidic channels for real-time fouling investigation via electrochemical impedance spectroscopy (EIS). System validation using fluorescein and KCl electrolytes demonstrated reproducible charge-transfer resistance (

Indexed as

BiofoulingMembranes, ArtificialMicrofluidic Analytical TechniquesDielectric SpectroscopyElectrodesPolystyrenesPorosityMembranes, ArtificialPolystyrenes3D electric fieldcake layerelectrochemical impedance spectroscopyfoulinginterdigitated microfluidic membrane-mimic cassettepolystyrene latex beads

Identifiers

PMID42012461
PMCPMC13154124

What OpenQuestion holds

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LicenceCC BY
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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.