Evidence map›Paper›PMID 38920592›Full record

ArticleBiosensors2024

Development of High Surface Area Organosilicate Nanoparticulate Thin Films for Use in Sensing Hydrophobic Compounds in Sediment and Water.

Sangho Bok, Venumadhav R Korampally, Jacob K Stanley, Keshab Gangopadhyay, Shubhra Gangopadhyay, Jeffery A Steevens

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Sangho BokDepartment of Electrical and Computer Engineering, University of Denver, 2155 E Wesley Avenue, Denver, CO 80208, USA.ORCID 0000-0003-1662-3125
Venumadhav R KorampallyDepartment of Electrical Engineering, Northern Illinois University, 590 Garden Road, Dekalb, IL 60115, USA.
Jacob K StanleyEnvironmental Laboratory, U.S. Army Engineer Research and Development Center, 3909 Halls Ferry Road, Vicksburg, MS 39180, USA.
Keshab GangopadhyayDepartment of Electrical Engineering and Computer Science, University of Missouri, 349 Engineering Building West, Columbia, MO 65211, USA.
Shubhra GangopadhyayDepartment of Electrical Engineering and Computer Science, University of Missouri, 349 Engineering Building West, Columbia, MO 65211, USA.
Jeffery A SteevensColumbia Environmental Research Center, U.S. Geological Survey, 4200 New Haven Road, Columbia, MO 65201, USA.ORCID 0000-0003-3946-1229

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The scope of this study was to apply advances in materials science, specifically the use of organosilicate nanoparticles as a high surface area platform for passive sampling of chemicals or pre-concentration for active sensing in multiple-phase complex environmental media. We have developed a novel nanoporous organosilicate (NPO) film as an extraction phase and proof of concept for application in adsorbing hydrophobic compounds in water and sediment. We characterized the NPO film properties and provided optimization for synthesis and coatings in order to apply the technology in environmental media. NPO films in this study had a very high surface area, up to 1325 m

Indexed as

Geologic SedimentsHydrophobic and Hydrophilic InteractionsNanoparticlesAdsorptionOrganosilicon CompoundsPolychlorinated BiphenylsSurface PropertiesWaterWater Pollutants, ChemicalOrganosilicon CompoundsPolychlorinated BiphenylsWaterWater Pollutants, Chemicalbioaccumulationbiosensorsenvironmental sensorsnanosilicapolychlorinated biphenylsediments

Identifiers

PMID38920592
PMCPMC11201756

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.