X-ray computed tomography: A novel non-invasive approach for the detection of microplastics in sediments?

被引:3
|
作者
Trusler, Megan M. [1 ,2 ]
Sturrock, Craig J. [1 ]
Vane, Christopher H. [2 ]
Cook, Sarah [1 ]
Lomax, Barry H. [1 ]
机构
[1] Univ Nottingham, Sch Biosci, Sutton Bonington Campus, Loughborough LE12 5RD, England
[2] British Geol Survey, Nottingham NG12 5GG, England
关键词
Particle imaging; Plastic polymer; Sediment core; Microplastic pollution; Image analysis; River Thames; EXTRACTING MICROPLASTICS; PLASTIC DEBRIS; PARTICLES; IDENTIFICATION; ENVIRONMENT; ABUNDANCE; POLLUTION; ESTUARY; SYSTEMS; THAMES;
D O I
10.1016/j.marpolbul.2023.115350
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As a non-invasive imaging technique, this study explores the application of Computed Tomography (CT) in microplastics research, assessing its potential to distinguish different types and sizes of microplastics (polypropylene, polyethylene terephthalate, polyethylene, and polyvinyl chloride) from homogenised river-estuarine sediment. When examined in layers within artificial cores, all microplastic types could be observed by CT imagery, with good contrast in X-ray attenuation (based on image gray level intensity) against background sediments. Large microplastics (4 mm diameter) were also detectable when distributed randomly amongst the sediment. These spiked cores had sufficient difference in attenuation to allow segmentation between type, and therefore isolate individual microplastics. Due to limitations on scan resolution, smaller microplastics (& LE;125 & mu;m diameter) could not be detected in spiked cores. Scans of two sediment cores from a Thames River tributary (UK) revealed two distinctive sediment structures which could influence microplastic accumulation. This information would be lost using conventional recovery procedures.
引用
收藏
页数:7
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