Monitoring microplastic–contaminant sorption processes in real-time using membrane introduction mass spectrometry-Reference-Cited by-同舟云学术

Monitoring microplastic–contaminant sorption processes in real-time using membrane introduction mass spectrometry

Published:2023 Issue:7 Volume:25 Page:1169-1180
ISSN:2050-7887
Container-title:Environmental Science: Processes & Impacts
language:en
Short-container-title:Environ. Sci.: Processes Impacts

Author:

Zvekic Misha¹²^ORCID,Vandergrift Gregory W.¹²,Tong Christine C.¹,Gill Chris G.¹²³⁴^ORCID,Krogh Erik T.¹²^ORCID

Affiliation:

1. Applied Environmental Research Laboratories (AERL), Department of Chemistry, Vancouver Island University, Nanaimo, British Columbia, V9R 5S5, Canada

2. Department of Chemistry, University of Victoria, Victoria, British Columbia, V8P 5C2, Canada

3. Department of Chemistry, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada

4. Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98195, USA

Abstract

The rate and extent of sorption of trace contaminants to microplastics was monitored in real-time using direct mass spectrometry.

Funder

Natural Sciences and Engineering Research Council of Canada

Agilent Technologies

Vancouver Island University

University of Victoria

Publisher

Royal Society of Chemistry (RSC)

Subject

Management, Monitoring, Policy and Law,Public Health, Environmental and Occupational Health,Environmental Chemistry,General Medicine

Link

http://pubs.rsc.org/en/content/articlepdf/2023/EM/D3EM00083D

Reference57 articles.

1. A critical review on the interactions of microplastics with heavy metals: Mechanism and their combined effect on organisms and humans

2. The physical impacts of microplastics on marine organisms: A review

3. Constraining the atmospheric limb of the plastic cycle

4. Microplastics as a vector of hydrophobic contaminants: Importance of hydrophobic additives

5. Microplastic as a Vector for Chemicals in the Aquatic Environment: Critical Review and Model-Supported Reinterpretation of Empirical Studies