Evidence map›Paper›PMID 33494497›Full record

ArticleSensors (Basel, Switzerland)2021

Combined SPRi Sensor for Simultaneous Detection of Nitrate and Ammonium in Wastewater.

Martina Vráblová, Ivan Koutník, Kateřina Smutná, Dominika Marková, Nikola Veverková

Open access · goldAbstract readLetter
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
0.7field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Martina VráblováInstitute of Environmental Technology, CEET, VSB-Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czech Republic.ORCID 0000-0003-0968-1212
Ivan KoutníkInstitute of Environmental Technology, CEET, VSB-Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czech Republic.
Kateřina SmutnáInstitute of Environmental Technology, CEET, VSB-Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czech Republic.ORCID 0000-0001-6810-4410
Dominika MarkováInstitute of Environmental Technology, CEET, VSB-Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czech Republic.ORCID 0000-0002-6967-4965
Nikola VeverkováInstitute of Environmental Technology, CEET, VSB-Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czech Republic.
VSB - Technical University of Ostrava · CZ

Funding

Ministerstvo Školství, Mládeže a Tělovýchovy CZ.02.1.01./0.0/0.0/17_049/0008419Ministerstvo Školství, Mládeže a Tělovýchovy LM2018098Vysoká Škola Bánská - Technická Univerzita Ostrava SP2020/14
6 · The paper itself

Abstract

Water pollution is a serious problem in modern society. Agriculture, being responsible for the discharge of agrochemicals, organic matter, or drug residues, produces a huge amount of wastewater. Aquaponics has the potential to reduce both water consumption and the impact of water pollution on fish farming and plant production. In the aquatic environment, inorganic nitrogen is mostly present in the form of nitrate and ammonium ions. Nitrate, as a final product of ammonia mineralization, is the most common chemical contaminant in aquifers around the world. For continuous monitoring of nitrogen compounds in wastewater, we propose a sensor for the simultaneous detection of nitrate and ammonium. A surface plasmon resonance imaging method with enzyme-mediated detection was used. Active layers of nitrate reductase and glutamine synthetase were created on the gold surface of a biochip and tested for the sensing of nitrate and ammonium in water from an aquaponic system. The proposed sensor was applied in water samples with a concentration of NO

Indexed as

ammoniumaquaponicsnitratesensorsurface plasmon resonancewastewater

Identifiers

PMID33494497
PMCPMC7865960
OpenAlexW3123584237

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.