Evidence map›Paper›PMID 36570182›Full record

ArticleACS omega2022

Sensitive and Specific Detection of Estrogens Featuring Doped Silicon Nanowire Arrays.

Wenqi Duan, Hui Zhi, Daniel W Keefe, Bingtao Gao, Gregory H LeFevre, Fatima Toor

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 39% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 1 institution in 1 country.

Wenqi DuanDepartment of Electrical and Computer Engineering, University of Iowa, 205 North Madison Street, Iowa City, Iowa 52242, United States.ORCID https://orcid.org/0000-0002-7592-1408
Hui ZhiDepartment of Civil and Environmental Engineering, University of Iowa, 4105 Seamans Center, Iowa City, Iowa 52242, United States.ORCID https://orcid.org/0000-0003-1976-4097
Daniel W KeefeDepartment of Electrical and Computer Engineering, University of Iowa, 205 North Madison Street, Iowa City, Iowa 52242, United States.
Bingtao GaoDepartment of Electrical and Computer Engineering, University of Iowa, 205 North Madison Street, Iowa City, Iowa 52242, United States.ORCID https://orcid.org/0000-0001-8513-6350
Gregory H LeFevreDepartment of Civil and Environmental Engineering, University of Iowa, 4105 Seamans Center, Iowa City, Iowa 52242, United States.ORCID https://orcid.org/0000-0002-7746-0297
Fatima ToorDepartment of Electrical and Computer Engineering, University of Iowa, 205 North Madison Street, Iowa City, Iowa 52242, United States.ORCID https://orcid.org/0000-0003-1372-983X
University of Iowa · US

Funding

Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
NIEHS NIH HHS P30 ES005605
6 · The paper itself

Abstract

Estrogens and estrogen-mimicking compounds in the aquatic environment are known to cause negative impacts to both ecosystems and human health. In this initial proof-of-principle study, we developed a novel vertically oriented silicon nanowire (vSiNW) array-based biosensor for low-cost, highly sensitive and selective detection of estrogens. The vSiNW arrays were formed using an inexpensive and scalable metal-assisted chemical etching (MACE) process. A vSiNW array-based p-n junction diode (vSiNW-diode) transducer design for the biosensor was used and functionalized via 3-aminopropyltriethoxysilane (APTES)-based silane chemistry to bond estrogen receptor-alpha (ER-α) to the surface of the vSiNWs. Following receptor conjugation, the biosensors were exposed to increasing concentrations of estradiol (E2), resulting in a well-calibrated sensor response (

Identifiers

PMID36570182
PMCPMC9774403
OpenAlexW4311658459

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.