Evidence map›Paper›PMID 34502739›Full record

ArticleSensors (Basel, Switzerland)2021

Development and Characterization of Integrated Nano-Sensors for Organic Residues and pH Field Detection.

Itamar Chajanovsky, Sarah Cohen, Giorgi Shtenberg, Ran Yosef Suckeveriene

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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. Review
  2. 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

4 authors.

Itamar ChajanovskyDepartment of Water Industry Engineering, Kinneret Academic College, Zemach 15132, Israel.ORCID 0000-0003-0970-6424
Sarah CohenDepartment of Water Industry Engineering, Kinneret Academic College, Zemach 15132, Israel.
Giorgi ShtenbergInstitute of Agricultural Engineering, ARO, The Volcani Center, Bet Dagan 7505101, Israel.ORCID 0000-0003-1234-1104
Ran Yosef SuckeverieneDepartment of Water Industry Engineering, Kinneret Academic College, Zemach 15132, Israel.ORCID 0000-0002-5790-0400

Funding

Ministry of Agriculture and Rural Development 20-07-0020
6 · The paper itself

Abstract

Meeting global water quality standards is a real challenge to ensure that food crops and livestock are fit for consumption, as well as for human health in general. A major hurdle affecting the detection of pollutants in water reservoirs is the lapse of time between the sampling moment and the availability of the laboratory-based results. Here, we report the preparation, characterization, and performance assessment of an innovative sensor for the rapid detection of organic residue levels and pH in water samples. The sensor is based on carbonaceous nanomaterials (CNMs) coated with an intrinsically conductive polymer, polyaniline (PANI). Inverse emulsion polymerizations of aniline in the presence of carbon nanotubes (CNTs) or graphene were prepared and confirmed by thermogravimetric analysis and high-resolution scanning electron microscopy. Aminophenol and phenol were used as proxies for organic residue detection. The PANI/CNM nanocomposites were used to fabricate thin-film sensors. Of all the CNMs, the smallest limit of detection (LOD) was achieved for multi-walled CNT (MWCNT) with a LOD of 9.6 ppb for aminophenol and a very high linearity of 0.997, with an average sensitivity of 2.3 kΩ/pH at an acid pH. This high sensor performance can be attributed to the high homogeneity of the PANI coating on the MWCNT surface.

Indexed as

GraphiteNanocompositesNanotubes, CarbonAniline CompoundsHumansHydrogen-Ion ConcentrationLimit of DetectionAniline CompoundsGraphiteNanotubes, Carboncarbon-based nanocompositesorganic residuespH levelspolyanilinesensor

Identifiers

PMID34502739
PMCPMC8434280

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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.