Evidence map›Paper›PMID 31882767›Full record

ArticleScientific reports2019

Electrochemical micro analytical device interfaced with portable potentiostat for rapid detection of chlorpyrifos using acetylcholinesterase conjugated metal organic framework using Internet of things.

Shalini Nagabooshanam, Souradeep Roy, Ashish Mathur, Irani Mukherjee, Satheesh Krishnamurthy, Lalit M Bharadwaj

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 82 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 3 institutions in 2 countries.

Shalini NagabooshanamAmity Institute of Nanotechnology, Amity University, Noida, Sector 125, Uttar Pradesh, 201301, India.
Souradeep RoyAmity Institute of Nanotechnology, Amity University, Noida, Sector 125, Uttar Pradesh, 201301, India.
Ashish MathurAmity Institute of Nanotechnology, Amity University, Noida, Sector 125, Uttar Pradesh, 201301, India. amathur@amity.edu.
Irani MukherjeeDivision of Agricultural Chemicals, Indian Agricultural Research Institute, New Delhi, 110012, India.
Satheesh KrishnamurthyNanoscale Energy and Surface Engineering, School of Engineering and Innovation, The Open University, Walton Hall Campus, Milton Keynes, MK7 6AA, United Kingdom. satheesh.krishnamurthy@open.ac.uk.ORCID http://orcid.org/0000-0001-7237-9206
Lalit M BharadwajAmity Institute of Nanotechnology, Amity University, Noida, Sector 125, Uttar Pradesh, 201301, India.
Amity University · INIndian Agricultural Research Institute · INThe Open University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An Electrochemical micro Analytical Device (EµAD) was fabricated for sensitive detection of organophosphate pesticide chlorpyrifos in the food chain. Gold microelectrode (µE) modified with Zinc based Metal Organic Framework (MOF-Basolite Z1200) and Acetylcholinesterase (AChE) enzyme served as an excellent electro-analytical transducer for the detection of chlorpyrifos. Electrochemical techniques such as Cyclic Voltammetry (CV), Electrochemical Impedance Spectroscopy (EIS) and Differential Pulse Voltammetry (DPV) were performed for electrochemical analysis of the developed EµAD. The sensor needs only 2 µL of the analyte and it was tested within the linear range of 10 to 100 ng/L. The developed EµAD's limit of detection (LoD) and sensitivity is 6 ng/L and 0.598 µ A/ng L

Identifiers

PMID31882767
PMCPMC6934781
OpenAlexW2997436064

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.