In Situ Quantification of Bacterial Surface Charge at the Single-Cell Level for Modeling Transport under Electric Fields.

Shuai Wang, Feiyang Mo, Feifei Liu, Wei Wang, Xing Xie

Abstract read

In one paragraph

Article in Environmental science & technology, 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

5 authors.

Shuai WangSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-6181-1371

Feiyang MoSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0009-0002-6844-1761

Feifei LiuSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0009-0007-7998-1006

Wei WangSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-6231-2216

Xing XieSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-2253-0964

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Locally enhanced electric field treatment (LEEFT) inactivates bacteria via charge-dependent transport into localized high-field regions, requiring resolution of surface-charge heterogeneity rather than population-averaged zeta potentials. Here, we develop a high-throughput single-cell tracking platform to quantify the effective surface charge at the individual-cell level. Using this approach, we reveal heterogeneity in effective surface charge spanning nearly 2 orders of magnitude under fixed medium conditions (pH 5.8) from -1.0 × 10

Indexed as

Bacterial Physiological PhenomenaElectricitySingle-Cell AnalysisBacteria transportChargeElectric fieldLEEFTWater disinfection

Identifiers

PMID41866953

DOI10.1021/acs.est.5c16185

PMCPMC13063416

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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.