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A review of analytical techniques for quantifying microplastics in sediments

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F17%3A00100069" target="_blank" >RIV/00216224:14310/17:00100069 - isvavai.cz</a>

  • Result on the web

    <a href="http://pubs.rsc.org/en/Content/ArticleLanding/2017/AY/C6AY02707E#!divAbstract" target="_blank" >http://pubs.rsc.org/en/Content/ArticleLanding/2017/AY/C6AY02707E#!divAbstract</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1039/c6ay02707e" target="_blank" >10.1039/c6ay02707e</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A review of analytical techniques for quantifying microplastics in sediments

  • Original language description

    In this review the analytical techniques for measuring microplastics in sediment have been evaluated. Four primary areas of the analytical process have been identified that include (1) sampling, (2) extraction, (3) quantitation and (4) quality assurance/quality control (QAQC). Each of those sections have their own subject specific challenges and require further method development and harmonisation. The most common approach to extracting microplastics from sediments is density separation. Following extraction, visual counting with an optical microscope is the most common technique for quantifying microplastics; a technique that is labour intensive and prone to human error. Spectroscopy (FTIR; Raman) are the most commonly applied techniques for identifying polymers collected through visual sorting. Improvements and harmonisation on size fractions, sampling approaches, extraction protocols and units for reporting plastic abundance would aid comparison of data generated by different research teams. Further, we advocate the development of strong QAQC procedures to be adopted like other fields of analytical chemistry. Finally, inter-laboratory proficiency testing is recommended to give an indication of the variation and reliability in measurements reported in the scientific literature that may be under- or overestimations of environmental burdens.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    21101 - Food and beverages

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Analytical Methods

  • ISSN

    1759-9660

  • e-ISSN

    1759-9679

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    15

  • Pages from-to

    1369-1383

  • UT code for WoS article

    000395999600007

  • EID of the result in the Scopus database

    2-s2.0-85014514730