Evidence map›Paper›PMID 33916863›Full record

ArticleMicromachines2021

A Fluidics-Based Biosensor to Detect and Characterize Inhibition Patterns of Organophosphate to Acetylcholinesterase in Food Materials.

Dang Song Pham, Xuan Anh Nguyen, Paul Marsh, Sung Sik Chu, Michael P H Lau, Anh H Nguyen, Hung Cao

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2021. 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
0.3field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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 1 institution in 1 country.

Dang Song PhamBiomedical Engineering Department, University of California Irvine, Irvine, CA 92697, USA.ORCID 0000-0003-0264-2261
Xuan Anh NguyenBiomedical Engineering Department, University of California Irvine, Irvine, CA 92697, USA.
Paul MarshElectrical Engineering and Computer Science Department, University of California Irvine, Irvine, CA 92697, USA.
Sung Sik ChuBiomedical Engineering Department, University of California Irvine, Irvine, CA 92697, USA.
Michael P H LauSensoriis, Inc., 7500 212th St SW Ste 208, Edmonds, WA 98026, USA.
Anh H NguyenElectrical Engineering and Computer Science Department, University of California Irvine, Irvine, CA 92697, USA.
Hung CaoBiomedical Engineering Department, University of California Irvine, Irvine, CA 92697, USA.ORCID 0000-0003-4197-7208
University of California, Irvine · US

Funding

NSF grants #1917105& & #1926818
6 · The paper itself

Abstract

A chip-based electrochemical biosensor is developed herein for the detection of organophosphate (OP) in food materials. The principle of the sensing platform is based on the inhibition of dimethoate (DMT), a typical OP that specifically inhibits acetylcholinesterase (AChE) activity. Carbon nanotube-modified gold electrodes functionalized with polydiallyldimethylammonium chloride (PDDA) and oxidized nanocellulose (NC) were investigated for the sensing of OP, yielding high sensitivity. Compared with noncovalent adsorption and deposition in bovine serum albumin, bioconjugation with lysine side chain activation allowed the enzyme to be stable over three weeks at room temperature. The total amount of AChE was quantified, whose activity inhibition was highly linear with respect to DMT concentration. Increased incubation times and/or DMT concentration decreased current flow. The composite electrode showed a sensitivity 4.8-times higher than that of the bare gold electrode. The biosensor was challenged with organophosphate-spiked food samples and showed a limit of detection (LOD) of DMT at 4.1 nM, with a limit of quantification (LOQ) at 12.6 nM, in the linear range of 10 nM to 1000 nM. Such performance infers significant potential for the use of this system in the detection of organophosphates in real samples.

Indexed as

acetylcholinesteraseelectrochemical biosensorsorganophosphate

Identifiers

PMID33916863
PMCPMC8065683
OpenAlexW3144685319

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.