Evidence map›Paper›PMID 24940939›Full record

ArticleAnalytical chemistry2014

Electrical detection of nucleic acid amplification using an on-chip quasi-reference electrode and a PVC REFET.

Eric Salm, Yu Zhong, Bobby Reddy, Carlos Duarte-Guevara, Vikhram Swaminathan, Yi-Shao Liu, Rashid Bashir

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Ion sensors based on organic semiconductors acting as quasi-reference electrodes.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

7 authors at 2 institutions in 2 countries.

Eric SalmDepartment of Bioengineering, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Yu Zhong
Bobby Reddy
Carlos Duarte-Guevara
Vikhram Swaminathan
Yi-Shao Liu
Rashid Bashir
University of Illinois Urbana-Champaign · USTaiwan Semiconductor Manufacturing Company (United States) · US

Funding

NCI NIH HHS R01-CA20003
6 · The paper itself

Abstract

Electrical detection of nucleic acid amplification through pH changes associated with nucleotide addition enables miniaturization, greater portability of testing apparatus, and reduced costs. However, current ion-sensitive field effect transistor methods for sensing nucleic acid amplification rely on establishing the fluid gate potential with a bulky, difficult to microfabricate reference electrode that limits the potential for massively parallel reaction detection. Here we demonstrate a novel method of utilizing a microfabricated solid-state quasi-reference electrode (QRE) paired with a pH-insensitive reference field effect transistor (REFET) for detection of real-time pH changes. The end result is a 0.18 μm, silicon-on-insulator, foundry-fabricated sensor that utilizes a platinum QRE to establish a pH-sensitive fluid gate potential and a PVC membrane REFET to enable pH detection of loop mediated isothermal amplification (LAMP). This technique is highly amendable to commercial scale-up, reduces the packaging and fabrication requirements for ISFET pH detection, and enables massively parallel droplet interrogation for applications, such as monitoring reaction progression in digital PCR.

Indexed as

ElectrodesEquipment DesignHydrogen-Ion ConcentrationMicrotechnologyNucleic Acid Amplification TechniquesOligonucleotide Array Sequence AnalysisPlatinumPolymerase Chain ReactionPolyvinyl ChloridePlatinumPolyvinyl Chloride

Identifiers

PMID24940939
PMCPMC4215847
OpenAlexW2122220927

What OpenQuestion holds

Textmetadata
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.