Evidence map›Paper›PMID 38280016›Full record

ArticleAnalytical and bioanalytical chemistry2024

Novel method for rapid monitoring of OPFRs by LLE and GC-MS as a tool for assessing biodegradation: validation and applicability.

Diana Losantos, Oscar Palacios, María Jesús Berge, Montserrat Sarrà, Gloria Caminal, Alba Eustaquio

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Journal of fungi (Basel, Switzerland) · 2025
    Article
  3. 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

6 authors.

Diana LosantosDepartment of Chemical, Biological and Environmental Engineering, Universitat Autònoma de Barcelona, Escola d'Enginyeria, Campus Bellaterra, 08193, Cerdanyola del Vallès, Spain.ORCID http://orcid.org/0000-0002-7782-3537
Oscar PalaciosServei d'Anàlisi Química, Universitat Autònoma de Barcelona, Facultat de Ciències, Campus Bellaterra, 08193, Cerdanyola del Vallès, Spain.
María Jesús BergeServei d'Anàlisi Química, Universitat Autònoma de Barcelona, Facultat de Ciències, Campus Bellaterra, 08193, Cerdanyola del Vallès, Spain.
Montserrat SarràDepartment of Chemical, Biological and Environmental Engineering, Universitat Autònoma de Barcelona, Escola d'Enginyeria, Campus Bellaterra, 08193, Cerdanyola del Vallès, Spain. montserrat.sarra@uab.cat.ORCID http://orcid.org/0000-0002-3447-6328
Gloria CaminalInstitut de Química Avançada de Catalunya (IQAC), Spanish Council for Scientific Research (CSIC), Jordi Girona 18-26, 08034, Barcelona, Spain.ORCID http://orcid.org/0000-0001-9646-6099
Alba EustaquioServei d'Anàlisi Química, Universitat Autònoma de Barcelona, Facultat de Ciències, Campus Bellaterra, 08193, Cerdanyola del Vallès, Spain.

Funding

Ministerio de Ciencia e Innovación PID2019-103989RB-100
6 · The paper itself

Abstract

Organophosphate flame retardants (OPFRs) are high-production volume chemicals widely present in environmental compartments. The presence of water-soluble OPFRs (tri-n-butyl phosphate (TnBP), tris(2-butoxyethyl) phosphate (TBEP), tris(2-chloroethyl) phosphate (TCEP), tris(2-chloroisopropyl) phosphate (TCPP), and triethyl phosphate (TEP)) in water compartments evidences the struggle of conventional wastewater treatment plants (WWTPs) to effectively eliminate these toxic compounds. This study reports for the first time the use of white-rot fungi as a promising alternative for the removal of these OPFRs. To accomplish this, a simple and cost-efficient quantification method for rapid monitoring of these contaminants' concentrations by GC-MS while accounting for matrix effects was developed. The method proved to be valid and reliable for all the tested parameters. Sample stability was examined under various storage conditions, showing the original samples to be stable after 60 days of freezing, while post-extraction storage techniques were also effective. Finally, a screening of fungal degraders while assessing the influence of the glucose regime on OPFR removal was performed. Longer chain organophosphate flame retardants, TBP and TBEP, could be easily and completely removed by the fungus Ganoderma lucidum after only 4 days. This fungus also stood out as the sole organism capable of partially degrading TCEP (35% removal). The other chlorinated compound, TCPP, was more easily degraded and 70% of its main isomer was removed by T. versicolor. However, chlorinated compounds were only partially degraded under nutrient-limiting conditions. TEP was either not degraded or poorly degraded, and it is likely that it is a transformation product from another OPFR's degradation. These results suggest that degradation of chlorinated compounds is dependent on the concentration of the main carbon source and that more polar OPFRs are less susceptible to degradation, given that they are less accessible to radical removal by fungi. Overall, the findings of the present study pave the way for further planned research and a potential application for the degradation of these contaminants in real wastewaters.

Indexed as

Flame RetardantsOrganophosphorus CompoundsPhosphinesGas Chromatography-Mass SpectrometryOrganophosphatesPhosphatesWastewaterWaterFlame RetardantsOrganophosphatesOrganophosphorus CompoundsPhosphatesPhosphinestriethyl phosphatetris(2-carboxyethyl)phosphinetris(chloroethyl)phosphateWastewaterWaterBioremediationEmerging pollutants analysisGas chromatographySample preparation

Identifiers

PMID38280016
PMCPMC10861394

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.