Evidence map›Paper›PMID 32560552›Full record

ReviewSensors (Basel, Switzerland)2020

Real-Time Water Quality Monitoring with Chemical Sensors.

Irina Yaroshenko, Dmitry Kirsanov, Monika Marjanovic, Peter A Lieberzeit, Olga Korostynska, Alex Mason, Ilaria Frau, Andrey Legin

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Automated Drone-Delivery Solar-Driven Onsite Wastewater Smart Monitoring and Treatment System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  11. Article
  12. Article
  13. IoT in Water Quality Monitoring-Are We Really Here?Sensors (Basel, Switzerland) · 2023
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Microwave Sensors forSensors (Basel, Switzerland) · 2021
    Article
  19. Article
  20. 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

8 authors.

Irina YaroshenkoInstitute of Chemistry, St. Petersburg State University, Mendeleev Center, Universitetskaya nab. 7/9, 199034 St. Petersburg, Russia.ORCID 0000-0001-5775-6878
Dmitry KirsanovInstitute of Chemistry, St. Petersburg State University, Mendeleev Center, Universitetskaya nab. 7/9, 199034 St. Petersburg, Russia.
Monika MarjanovicFaculty for Chemistry, Department of Physical Chemistry, University of Vienna Waehringer Strasse 42, 1090 Vienna, Austria.
Peter A LieberzeitFaculty for Chemistry, Department of Physical Chemistry, University of Vienna Waehringer Strasse 42, 1090 Vienna, Austria.ORCID 0000-0003-1596-0584
Olga KorostynskaFaculty of Technology, Art and Design, Department of Mechanical, Electronic and Chemical Engineering, Oslo Metropolitan University, 0166 Oslo, Norway.
Alex MasonFaculty of Science and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway.
Ilaria FrauFaculty of Engineering and Technology, Liverpool John Moores University, Liverpool L3 3AF, UK.ORCID 0000-0001-9238-6606
Andrey LeginInstitute of Chemistry, St. Petersburg State University, Mendeleev Center, Universitetskaya nab. 7/9, 199034 St. Petersburg, Russia.ORCID 0000-0001-8656-0145

Funding

Russian Foundation for Basic Research 18-53-80010Russian Science Support Foundation 18-19-00151
6 · The paper itself

Abstract

Water quality is one of the most critical indicators of environmental pollution and it affects all of us. Water contamination can be accidental or intentional and the consequences are drastic unless the appropriate measures are adopted on the spot. This review provides a critical assessment of the applicability of various technologies for real-time water quality monitoring, focusing on those that have been reportedly tested in real-life scenarios. Specifically, the performance of sensors based on molecularly imprinted polymers is evaluated in detail, also giving insights into their principle of operation, stability in real on-site applications and mass production options. Such characteristics as sensing range and limit of detection are given for the most promising systems, that were verified outside of laboratory conditions. Then, novel trends of using microwave spectroscopy and chemical materials integration for achieving a higher sensitivity to and selectivity of pollutants in water are described.

Indexed as

functionalised coatingmicrowave spectroscopymolecularly imprinted polymersmultisensor systemreal-time monitoringwater quality

Identifiers

PMID32560552
PMCPMC7349867

What Socratic 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 Socratic graph.