Evidence map›Paper›PMID 38834660›Full record

ArticleScientific reports2024

Novel technique for the ultra-sensitive detection of hazardous contaminants using an innovative sensor integrated with a bioreactor.

Aleksandra Orzechowska, Anna Czaderna-Lekka, Martin Trtílek, Renata Szymańska, Agnieszka Trela-Makowej, Katarzyna Wątor

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Aleksandra OrzechowskaFaculty of Physics and Applied Computer Science, AGH University of Krakow, al. A. Mickiewicza 30, 30-059, Kraków, Poland. Aleksandra.Orzechowska@fis.agh.edu.pl.ORCID 0000-0002-0094-9123
Anna Czaderna-LekkaDepartment of Machine Learning, Faculty of Informatics and Communication, University of Economics in Katowice, 1 Maja 50, 40-287, Katowice, Poland.ORCID 0000-0003-2278-374X
Martin TrtílekPhoton Systems Instruments, Průmyslová 470, 664 24, Drásov, Czech Republic.ORCID 0000-0002-6294-052X
Renata SzymańskaFaculty of Physics and Applied Computer Science, AGH University of Krakow, al. A. Mickiewicza 30, 30-059, Kraków, Poland.ORCID 0000-0001-8375-7786
Agnieszka Trela-MakowejFaculty of Physics and Applied Computer Science, AGH University of Krakow, al. A. Mickiewicza 30, 30-059, Kraków, Poland.ORCID 0000-0001-6536-1606
Katarzyna WątorFaculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, al. A. Mickiewicza 30, 30-059, Kraków, Poland.ORCID 0000-0002-1921-5146

Funding

AGH University of Krakow 16.16.220.842European Regional Development Fund-Project "SINGING PLANT" CZ.02.1.01/0.0/0.0/16_026/0008446
6 · The paper itself

Abstract

This study introduces an evaluation methodology tailored for bioreactors, with the aim of assessing the stress experienced by algae due to harmful contaminants released from antifouling (AF) paints. We present an online monitoring system equipped with an ultra-sensitive sensor that conducts non-invasive measurements of algal culture's optical density and physiological stage through chlorophyll fluorescence signals. By coupling the ultra-sensitive sensor with flash-induced chlorophyll fluorescence, we examined the dynamic fluorescence changes in the green microalga Chlamydomonas reinhardtii when exposed to biocides. Over a 24-h observation period, increasing concentrations of biocides led to a decrease in photosynthetic activity. Notably, a substantial reduction in the maximum quantum yield of primary photochemistry (F

Indexed as

BioreactorsChlamydomonas reinhardtiiChlorophyllDisinfectantsFluorescencePhotosynthesisWater Pollutants, ChemicalChlorophyllDisinfectantsWater Pollutants, ChemicalAntifouling coatingsBioreactorChlorophyll fluorescence spectroscopyMicroalgaeToxicityUltrasensitive sensor

Identifiers

PMID38834660
PMCPMC11150263

What OpenQuestion holds

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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.