Evidence map›Paper›PMID 41385617›Full record

ArticleScience advances2025

Non-Laplacian air-gap electrostatics for high-field oil-water nanoemulsion separation.

Sreedath Panat, Simon Rufer, Wang Hee Lee, Vishnu Jayaprakash, Shreya Agarwal, Kripa K Varanasi

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Sreedath PanatDepartment of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA.ORCID 0000-0001-6929-202X
Simon RuferDepartment of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA.ORCID 0000-0003-1274-8502
Wang Hee LeeDepartment of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA.ORCID 0000-0002-4753-7919
Vishnu JayaprakashDepartment of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA.
Shreya AgarwalDepartment of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA.
Kripa K VaranasiDepartment of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA.ORCID 0000-0002-6846-152X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oil-water separation is critical for energy and manufacturing industries, including crude refining and oil recycling, yet remains challenging for nanoscale emulsions where gravity-based methods are ineffective. Conventional demulsification techniques using immersed electrodes are limited by low electric field strengths to avoid shorting, requiring toxic demulsifiers and water-intensive desalting. Here, we propose a non-Laplacian electrocoalescence strategy using space-charge emitter electrodes with an air gap, enabling corona-based charge injection to achieve electric fields up to 8 kilovolts per centimeter and an eightfold enhancement over conventional methods. The enhanced electrostatic field enables a 64-fold increase in dipole-dipole attraction forces, leading to accelerated droplet coalescence and separation across water fractions ranging from 2 to 20%, without chemical demulsifiers. Furthermore, we demonstrate a scalable, flow-through space-charge emitter system capable of continuous demulsification of nanoscale emulsions. This approach provides a sustainable, chemical-free solution to address critical environmental and economic challenges in oil-water separation processes.

Identifiers

PMID41385617
PMCPMC12700190

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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.