Evidence map›Paper›PMID 38667192›Full record

ArticleBiosensors2024

Rapid Surface Charge Mapping Based on a Liquid Crystal Microchip.

Leixin Ouyang, Heyi Chen, Ruiting Xu, Rubia Shaik, Ge Zhang, Jiang Zhe

Abstract read
In one paragraph

Article in Biosensors, 2024. 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.

Leixin OuyangDepartment of Mechanical Engineering, University of Akron, Akron, OH 44325, USA.
Heyi ChenDepartment of Mechanical Engineering, University of Akron, Akron, OH 44325, USA.
Ruiting XuDepartment of Mechanical Engineering, University of Akron, Akron, OH 44325, USA.
Rubia ShaikDepartment of Biomedical Engineering, University of Akron, Akron, OH 44325, USA.
Ge ZhangDepartment of Biomedical Engineering, University of Akron, Akron, OH 44325, USA.
Jiang ZheDepartment of Mechanical Engineering, University of Akron, Akron, OH 44325, USA.ORCID 0000-0002-5452-549X

Funding

National Science Foundation ECCS-1905786National Science Foundation ECCS-2232940
6 · The paper itself

Abstract

Rapid surface charge mapping of a solid surface remains a challenge. In this study, we present a novel microchip based on liquid crystals for assessing the surface charge distribution of a planar or soft surface. This chip enables rapid measurements of the local surface charge distribution of a charged surface. The chip consists of a micropillar array fabricated on a transparent indium tin oxide substrate, while the liquid crystal is used to fill in the gaps between the micropillar structures. When an object is placed on top of the chip, the local surface charge (or zeta potential) influences the orientation of the liquid crystal molecules, resulting in changes in the magnitude of transmitted light. By measuring the intensity of the transmitted light, the distribution of the surface charge can be accurately quantified. We calibrated the chip in a three-electrode configuration and demonstrated the validity of the chip for rapid surface charge mapping using a borosilicate glass slide. This chip offers noninvasive, rapid mapping of surface charges on charged surfaces, with no need for physical or chemical modifications, and has broad potential applications in biomedical research and advanced material design.

Indexed as

Liquid CrystalsSurface PropertiesBiosensing TechniquesElectrodesTin Compoundsindium tin oxideTin Compoundsliquid crystalmicrochipmicrofluidicsmicropillar arraysurface charge mapping

Identifiers

PMID38667192
PMCPMC11047892

What OpenQuestion holds

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Registered trials

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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.