Evidence map›Paper›PMID 36354485›Full record

ArticleBiosensors2022

Efficient Detection of 2,6-Dinitrophenol with Silver Nanoparticle-Decorated Chitosan/SrSnO

M Faisal, M M Alam, Jahir Ahmed, Abdullah M Asiri, Mabkhoot Alsaiari, Raja Saad Alruwais, O Madkhali, Mohammed M Rahman, Farid A Harraz

Abstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Development of Binary Pd@PPyC-BiChemistry, an Asian journal · 2026
    Article
  2. 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

9 authors.

M FaisalPromising Centre for Sensors and Electronic Devices (PCSED), Advanced Materials and Nano-Research Centre, Najran University, Najran 11001, Saudi Arabia.
M M AlamCenter of Excellence for Advanced Materials Research (CEAMR), King Abdelaziz University, Jeddah 21589, Saudi Arabia.ORCID 0000-0002-2636-5038
Jahir AhmedPromising Centre for Sensors and Electronic Devices (PCSED), Advanced Materials and Nano-Research Centre, Najran University, Najran 11001, Saudi Arabia.
Abdullah M AsiriCenter of Excellence for Advanced Materials Research (CEAMR), King Abdelaziz University, Jeddah 21589, Saudi Arabia.ORCID 0000-0001-7905-3209
Mabkhoot AlsaiariPromising Centre for Sensors and Electronic Devices (PCSED), Advanced Materials and Nano-Research Centre, Najran University, Najran 11001, Saudi Arabia.
Raja Saad AlruwaisChemistry Department, Faculty of Science and Humanities, Shaqra University, Dawadmi 17472, Saudi Arabia.
O MadkhaliDepartment of Physics, College of Science, Jazan University, Jazan 45142, Saudi Arabia.
Mohammed M RahmanCenter of Excellence for Advanced Materials Research (CEAMR), King Abdelaziz University, Jeddah 21589, Saudi Arabia.ORCID 0000-0003-2773-1244
Farid A HarrazPromising Centre for Sensors and Electronic Devices (PCSED), Advanced Materials and Nano-Research Centre, Najran University, Najran 11001, Saudi Arabia.ORCID 0000-0001-7776-7099

Funding

Deanship of Scientific Research at Najran University NU/RG/SERC/11/18
6 · The paper itself

Abstract

Herein, an ultra-sonication technique followed by a photoreduction technique was implemented to prepare silver nanoparticle-decorated Chitosan/SrSnO

Indexed as

ChitosanMetal NanoparticlesNanocompositesCarbonDinitrophenolsElectrochemical TechniquesElectrodesNitrophenolsReproducibility of ResultsSilver2,6-dinitrophenolCarbonChitosanDinitrophenolsNitrophenolsSilver2,6-dinitrophenol sensorAg-decorated Chitosan/SrSnO3 nanocompositesdifferential pulse voltammetryenvironmental safetyultrasonication

Identifiers

PMID36354485
PMCPMC9688669

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.