Evidence map›Paper›PMID 35425578›Full record

ArticleRSC advances2022

A novel electrochemical sensing platform based on the esterase extracted from kidney bean for high-sensitivity determination of organophosphorus pesticides.

Han Tao, Feng Liu, Chun Ji, Yuangen Wu, Xiao Wang, Qili Shi

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 1 institution in 1 country.

Han TaoSchool of Liquor and Food Engineering, Guizhou University Guiyang 550025 China hantaov@hotmail.com.ORCID https://orcid.org/0000-0003-0654-2559
Feng LiuSchool of Liquor and Food Engineering, Guizhou University Guiyang 550025 China hantaov@hotmail.com.
Chun JiSchool of Pharmaceutical Sciences, Guizhou University Guiyang 550025 China.
Yuangen WuSchool of Liquor and Food Engineering, Guizhou University Guiyang 550025 China hantaov@hotmail.com.ORCID https://orcid.org/0000-0002-7342-3296
Xiao WangSchool of Liquor and Food Engineering, Guizhou University Guiyang 550025 China hantaov@hotmail.com.
Qili ShiSchool of Liquor and Food Engineering, Guizhou University Guiyang 550025 China hantaov@hotmail.com.
Guizhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Similar to acetylcholinesterase, the activity of plant-derived esterase can also be inhibited by organophosphorus pesticides. Therefore, an electrochemical sensing platform using kidney bean esterase as a new detection enzyme was proposed for the highly sensitive determination of organophosphorus pesticides. Purified kidney bean esterase was obtained by an efficient and economical aqueous two-phase extraction method. Carboxylated graphene/carbon nanotube composites (cCNTs-cGR) and Au nanoparticles were used to provide a biocompatible environment to immobilize kidney bean esterase and also accelerate electron transport between the analyte and the electrode surface. Due to the good synergistic electrocatalytic effects of these nanomaterials, the biosensor exhibited an amplified electrocatalytic response to the oxidation of α-naphthalenol, which makes the sensor more sensitive. Based on the inhibitory effect of trichlorfon on kidney bean esterase activity, high sensitivity and low-cost detection of trichlorfon was achieved. Under optimum conditions, the inhibition of trichlorfon is proportional to its concentration in the range of 5 to 150 ng L

Identifiers

PMID35425578
PMCPMC8981541
OpenAlexW4211173786

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.