Evidence map›Paper›PMID 33155149›Full record

ArticleMikrochimica acta2020

A novel colorimetric sensor based on modified mesoporous silica nanoparticles for rapid on-site detection of nitrite.

Tarawee Taweekarn, Worawit Wongniramaikul, Wadcharawadee Limsakul, Wilasinee Sriprom, Chanadda Phawachalotorn, Aree Choodum

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Article in Mikrochimica acta, 2020. 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
–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

9 citing papers in PubMed.

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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.

Tarawee TaweekarnIntegrated Science and Technology Research Center, Faculty of Technology and Environment, Prince of Songkla University, Phuket Campus, Kathu, Phuket, 83120, Thailand.
Worawit WongniramaikulIntegrated Science and Technology Research Center, Faculty of Technology and Environment, Prince of Songkla University, Phuket Campus, Kathu, Phuket, 83120, Thailand.
Wadcharawadee LimsakulIntegrated Science and Technology Research Center, Faculty of Technology and Environment, Prince of Songkla University, Phuket Campus, Kathu, Phuket, 83120, Thailand.
Wilasinee SripromIntegrated Science and Technology Research Center, Faculty of Technology and Environment, Prince of Songkla University, Phuket Campus, Kathu, Phuket, 83120, Thailand.
Chanadda PhawachalotornDepartment of Applied Science and Business Management, King Mongkut's Institute of Technology Ladkrabang, Prince of Chumphon Campus, Pathiu, Chumphon, 86160, Thailand.
Aree ChoodumIntegrated Science and Technology Research Center, Faculty of Technology and Environment, Prince of Songkla University, Phuket Campus, Kathu, Phuket, 83120, Thailand. aree.c@phuket.psu.ac.th.ORCID 0000-0003-0415-8860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel colorimetric sheet based on Griess reagent-doped mesoporous silica nanoparticles was developed for nitrite detection. Griess reagent was adsorbed on long-range ordered hexagonal mesoporous silica nanoparticles and developed ink-bottle pores with some disorder. When the modified nanoparticles were bound using starch to fabricate a thin (~ 313 μm) colorimetric sheet, spherical particles with a rougher surface and some distortion of their mesoporosity were observed. The sheet was used in conjunction with digital image colorimetry (DIC) and provides a wide linear range of 0.05 to 2.50 mg L

Indexed as

ColorimetryHydrogen-Ion ConcentrationKineticsLimit of DetectionMicroscopy, Electron, ScanningNanoparticlesNitritesPorosityReproducibility of ResultsSilicon DioxideX-Ray DiffractionNitritesSilicon DioxideColorimetric sensorDigital image colorimetryGriess assayMesoporous silicaNitrite determination

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Registered trials

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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.