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Extraction and identification of a wide range of microplastic polymers in soil and compost
ID
Prosenc, Franja
(
Author
),
ID
Leban, Pia
(
Author
),
ID
Šunta, Urška
(
Author
),
ID
Bavcon Kralj, Mojca
(
Author
)
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MD5: 5DF998C9A6C39595E49B93216877196C
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https://www.mdpi.com/2073-4360/13/23/4069
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Abstract
Microplastic pollution is globally widespread; however, the presence of microplastics in soil systems is poorly understood, due to the complexity of soils and a lack of standardised extraction methods. Two commonly used extraction methods were optimised and compared for the extraction of low-density (polyethylene (PE)) and high-density microplastics (polyethylene (PET)), olive-oil-based extraction, and density separation with zinc chloride (ZnCl2). Comparable recoveries in a low-organic-matter matrix (soil; most >98%) were observed, but in a high-organic-matter matrix (compost), density separation yielded higher recoveries (98 ± 4% vs. 80 ± 11%). Density separation was further tested for the extraction of five microplastic polymers spiked at different concentrations. Recoveries were >93% for both soil and compost, with no differences between matrices and individual polymers. Reduction in levels of organic matter in compost was tested before and after extraction, as well as combined. Double oxidation (Fenton’s reagent and 1 M NaOH) exhibited the highest reduction in organic matter. Extracted microplastic polymers were further identified via headspace solid-phase microextraction–gas chromatography–mass spectrometry (HS-SPME–GC–MS). This method has shown the potential for descriptive quantification of microplastic polymers. A linear relationship between the number of particles and the signal response was demonstrated for PET, polystyrene (PS), polyvinyl chloride (PVC), and PE (R$^2$ > 0.98 in alluvial soil, and R$^2$ > 0.80 in compost). The extraction and identification methods were demonstrated on an environmental sample of municipal biowaste compost, with the recovery of 36 ± 9 microplastic particles per 10 g of compost, and the detection of PS and PP.
Language:
English
Keywords:
microplastic extraction
,
oil extraction
,
density separation
,
GC–MS
,
mass spectrometry
,
plastic polymers
,
polyethylene terephthalate
,
polyethylene
,
mass spectrometry identification
,
terrestrial environments
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
ZF - Faculty of Health Sciences
Publication status:
Published
Publication version:
Version of Record
Year:
2021
Number of pages:
16 str.
Numbering:
Vol. 13, iss. 23, art. 4069
PID:
20.500.12556/RUL-133742
UDC:
543.51:691.175
ISSN on article:
2073-4360
DOI:
10.3390/polym13234069
COBISS.SI-ID:
89126147
Publication date in RUL:
13.12.2021
Views:
1679
Downloads:
197
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Record is a part of a journal
Title:
Polymers
Shortened title:
Polymers
Publisher:
MDPI
ISSN:
2073-4360
COBISS.SI-ID:
517951257
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
01.12.2021
Secondary language
Language:
Slovenian
Keywords:
ekstrakcija mikroplastike
,
pridobivanje olja
,
ločevanje gostote
,
GC–MS
,
masna spektrometrija
,
plastični polimeri
,
polietilen tereftalat
,
polietilen
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
Z2-2643
Name:
Agri-iMPact: Razširjenost in vpliv mikroplastike na kmetijskih površinah
Funder:
ARRS - Slovenian Research Agency
Funding programme:
Young researchers
Funder:
ARRS - Slovenian Research Agency
Project number:
P3-0388
Name:
Mehanizmi varovanja zdravja
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