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Quantifying and identifying microplastics in the effluent of advanced wastewater treatment systems using Raman microspectroscopy.
Fortin, Samantha; Song, Bongkeun; Burbage, Chris.
Affiliation
  • Fortin S; Virginia Institute of Marine Science, William & Mary: P.O. Box 1346, Gloucester Point, VA 23062, United States of America. Electronic address: sgfortin@vims.edu.
  • Song B; Virginia Institute of Marine Science, William & Mary: P.O. Box 1346, Gloucester Point, VA 23062, United States of America.
  • Burbage C; Hampton Roads Sanitation District, 1434 Air Rail Ave, Virginia Beach, VA 23455, United States of America.
Mar Pollut Bull ; 149: 110579, 2019 Dec.
Article de En | MEDLINE | ID: mdl-31551196
ABSTRACT
Microplastics in wastewater treatment plant (WWTP) effluent have been identified and quantified, but few studies have examined the microplastics in advanced treatment systems. A new method for isolating, quantifying, and determining the polymer type of microplastics was developed that included chemical digestion coupled with Raman microspectroscopy to investigate microplastics in the effluent of reverse osmosis nanofiltration and activated carbon filtration systems. This method allows for the removal of organics and the quantification and identification of all microplastics present in the sample. A large number of microplastics, the majority of which were smaller than 10 µm, were identified in the effluent of the advanced filtration systems with polyethylene the most common polymer identified. This study not only reports a new method for microplastic identification and quantification but also shows the importance of measuring the smallest fraction of microplastics, those smaller than 20 µm, which have previously been understudied.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Analyse spectrale Raman / Polluants chimiques de l'eau / Élimination des déchets liquides / Microplastiques Pays/Région comme sujet: America do norte Langue: En Journal: Mar Pollut Bull Année: 2019 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Analyse spectrale Raman / Polluants chimiques de l'eau / Élimination des déchets liquides / Microplastiques Pays/Région comme sujet: America do norte Langue: En Journal: Mar Pollut Bull Année: 2019 Type de document: Article