Evidence map›Paper›PMID 26078154›Full record

ArticleTalanta2015

Modified graphene oxide sensors for ultra-sensitive detection of nitrate ions in water.

Wen Ren, Stefania Mura, Joseph M K Irudayaraj

Open access · greenAbstract read
In one paragraph

Article in Talanta, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

4 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

3 authors at 2 institutions in 2 countries.

Wen RenDepartment of Agricultural and Biological Engineering, Bindley Bioscience Center, Purdue University, West Lafayette, IN 47907, United States.
Stefania MuraUniversity of Sassari, Porto Conte Ricerche, Loc. Tramariglio, 07041 Alghero, Italy.
Joseph M K IrudayarajDepartment of Agricultural and Biological Engineering, Bindley Bioscience Center, Purdue University, West Lafayette, IN 47907, United States. Electronic address: josephi@purdue.edu.
Purdue University West Lafayette · USUniversity of Sassari · IT

Funding

Transgenic Mouse Core Facility Shared Resource (TMCF-SR)P30CA023168 · NCI · PURDUE UNIVERSITY WEST LAFAYETTE · PI John Tesmer · 1985 to 2026
$43.4M
Chemical Mapping of Chromate Uptake, Localization, and Reduction in Remediating BR01ES017066 · NIEHS · PURDUE UNIVERSITY · PI IRUDAYARAJ, JOSEPH MK · 2009 to 2011
$884k
NCI NIH HHS P30 CA023168NIEHS NIH HHS R01 ES017066NIEHS NIH HHS R01ES017066-03
6 · The paper itself

Abstract

Nitrate ions is a very common contaminant in drinking water and has a significant impact on the environment, necessitating routine monitoring. Due to its chemical and physical properties, it is hard to directly detect nitrate ions with high sensitivity in a simple and inexpensive manner. Herein with amino group modified graphene oxide (GO) as a sensing element, we show a direct and ultra-sensitive method to detect nitrate ions, at a lowest detected concentration of 5 nM in river water samples, much lower than the reported methods based on absorption spectroscopy. Furthermore, unlike the reported strategies based on absorption spectroscopy wherein the nitrate concentration is determined by monitoring an increase in aggregation of gold nanoparticles (GNPs), our method evaluates the concentration of nitrate ions based on reduction in aggregation of GNPs for monitoring in real samples. To improve sensitivity, several optimizations were performed, including the assessment of the amount of modified GO required, concentration of GNPs and incubation time. The detection methodology was characterized by zeta potential, TEM and SEM. Our results indicate that an enrichment of modified GO with nitrate ions contributed to excellent sensitivity and the entire detection procedure could be completed within 75 min with only 20 μl of sample. This simple and rapid methodology was applied to monitor nitrate ions in real samples with excellent sensitivity and minimum pretreatment. The proposed approach paves the way for a novel means to detect anions in real samples and highlights the potential of GO based detection strategy for water quality monitoring.

Indexed as

Limit of DetectionCalibrationChemistry Techniques, AnalyticalGoldGraphiteMetal NanoparticlesNitratesOxidesRiversWaterWater Pollutants, ChemicalGoldGraphiteNitratesOxidesWaterWater Pollutants, ChemicalAbsorption spectroscopyGold nanoparticlesGraphene oxideHigh sensitivityNitrate ions

Identifiers

PMID26078154
PMCPMC4770257
OpenAlexW431799164

What OpenQuestion holds

Textmetadata
LicenceTDM
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.