Evidence map›Paper›PMID 34193414›Full record

ArticleScience advances2021

Single-step label-free nanowell immunoassay accurately quantifies serum stress hormones within minutes.

S Reza Mahmoodi, Pengfei Xie, Daniel P Zachs, Erik J Peterson, Rachel S Graham, Claire R W Kaiser, Hubert H Lim, Mark G Allen, Mehdi Javanmard

Abstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

9 authors.

S Reza MahmoodiRutgers University, Piscataway, NJ 08854, USA. mehdi.javanmard@rutgers.edu.ORCID 0000-0002-8920-9227
Pengfei XieRutgers University, Piscataway, NJ 08854, USA.ORCID 0000-0002-4143-0993
Daniel P ZachsUniversity of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-9615-3233
Erik J PetersonUniversity of Minnesota, Minneapolis, MN 55455, USA.
Rachel S GrahamUniversity of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-7563-8506
Claire R W KaiserUniversity of Minnesota, Minneapolis, MN 55455, USA.
Hubert H LimUniversity of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0001-5653-9679
Mark G AllenUniversity of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0003-3963-6359
Mehdi JavanmardRutgers University, Piscataway, NJ 08854, USA. mehdi.javanmard@rutgers.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A non-faradaic label-free cortisol sensing platform is presented using a nanowell array design, in which the two probe electrodes are integrated within the nanowell structure. Rapid and low volume (≤5 μl) sensing was realized through functionalizing nanoscale volume wells with antibodies and monitoring the real-time binding events. A 28-well plate biochip was built on a glass substrate by sequential deposition, patterning, and etching steps to create a stack nanowell array sensor with an electrode gap of 40 nm. Sensor response for cortisol concentrations between 1 and 15 μg/dl in buffer solution was recorded, and a limit of detection of 0.5 μg/dl was achieved. Last, 65 human serum samples were collected to compare the response from human serum samples with results from the standard enzyme-linked immunosorbent assay (ELISA). These results confirm that nanowell array sensors could be a promising platform for point-of-care testing, where real-time, laboratory-quality diagnostic results are essential.

Indexed as

Biosensing TechniquesHydrocortisoneAntibodiesElectrodesHumansImmunoassayAntibodiesHydrocortisone

Identifiers

PMID34193414
PMCPMC8245048

What OpenQuestion holds

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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.