Handbook of Microplastics in the Environment 2020
DOI: 10.1007/978-3-030-10618-8_21-1
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Microplastic Characterization by Infrared Spectroscopy

Abstract: A realistic risk assessment of microplastic pollution must stand on representative data on the abundance, size distribution, and chemical composition of polymers. Infrared spectroscopy is an indispensable tool for the analysis of microplastics (<5 mm). Spectral imaging, which provides simultaneous measurement of spatial (e.g., particle morphology) and spectroscopic information, is a promising approach toward automated microplastic analysis. This chapter aims at providing guidelines to assist with the analysis … Show more

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Cited by 6 publications
(9 citation statements)
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“…Using the siMPle program, all the PE beads (125–150 μm) in the analysis area were identified on the 102 μm stainless-steel mesh filter in transmission mode (Figure ). The μFTIR spectroscopy results shown here further support the application of these filters in identifying microplastics in transmission mode, supporting previous applications of these types of filters. , These results are promising because previous studies either had to account for the IR absorbance of the filter (e.g., refs and ) or preselect putative microplastics using a light microscope followed by μFTIR measurement . The stainless-steel mesh filters are therefore a valuable tool that addresses μFTIR analytical limitations and streamlines data collection for microplastic research.…”
Section: Resultssupporting
confidence: 79%
See 1 more Smart Citation
“…Using the siMPle program, all the PE beads (125–150 μm) in the analysis area were identified on the 102 μm stainless-steel mesh filter in transmission mode (Figure ). The μFTIR spectroscopy results shown here further support the application of these filters in identifying microplastics in transmission mode, supporting previous applications of these types of filters. , These results are promising because previous studies either had to account for the IR absorbance of the filter (e.g., refs and ) or preselect putative microplastics using a light microscope followed by μFTIR measurement . The stainless-steel mesh filters are therefore a valuable tool that addresses μFTIR analytical limitations and streamlines data collection for microplastic research.…”
Section: Resultssupporting
confidence: 79%
“…Other approaches include selecting particles of interest and manually moving them from the filters to an IR transparent slide for analysis. , However, microplastics can be friable and statically charged, leading to broken and/or lost particles. One filter type that has been used for microplastic environmental sampling is stainless-steel mesh filters. ,, Other studies tested using stainless-steel mesh filters for organic matter digestion of the sample or for the μFTIR identification of polymer type. , In this study, we built on that prior work by assessing the use of stainless-steel mesh filters for in-line sample filtration, laboratory processing, and μFTIR analysis in transmission mode for polymer identification.…”
Section: Introductionmentioning
confidence: 99%
“…This technique was pioneered by Jun-Li Xu in "Microplastic Characterisation by Infrared Spectroscopy", found in the Handbook of Microplastics in the Environment, pp. 1-33, 2020 [21]. The authors provide an extensive account of the multiple approaches employed to analyze microplastics utilizing infrared spectroscopy.…”
Section: Validation and Data Analysis Of Plastic-bottled Chinese Baij...mentioning
confidence: 99%
“…The spectra also differ if measured in transmittance and attenuated total reflectance modes 61 . However, they can identified from few characteristics peaks 61, 62 .…”
Section: Chemical Characterizationmentioning
confidence: 99%
“…These features are found in 10.7% (3/28) particles indicating that the particles are PE type. The poly-ethylene terephthalate (PET) can be identified from the -C=O stretching at around 1710 cm -1 but -C-H stretching frequencies in the range 2900-2970 cm -1 is weakly invisible 62 . These features are found in 35.7% (10/28) particles suggesting PET microplastics.…”
Section: Chemical Characterizationmentioning
confidence: 99%