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Selective imaging of microplastic and organic particles in flow by multimodal coherent anti-Stokes Raman scattering and two-photon excited autofluorescence analysis

Selective imaging of microplastic and organic particles in flow by multimodal coherent anti-Stokes Raman scattering and two-photon excited autofluorescence analysis
Selective imaging of microplastic and organic particles in flow by multimodal coherent anti-Stokes Raman scattering and two-photon excited autofluorescence analysis
Microplastic pollution is an urgent global issue. While spectroscopic techniques have been widely used for identification of plastics collected from aquatic environments, these techniques are often labour-intensive and time-consuming due to sample collection, preparation and long measurement times. In this study, a method for two-dimensional detection and classification of flowing microplastic and organic particles with high spatial and temporal resolutions has been proposed based on simultaneous detection of coherent anti-Stokes Raman scattering (CARS) and two-photon excited autofluorescence (TPEAF) signals. Poly(methyl methacrylate) (PMMA), polystyrene (PS), and low-density polyethylene (LDPE) particles with the size of several tens to hundreds of µm were selectively detected in flow with an average velocity of 4.17 mm/s by CARS line scanning. With the same velocity of flow, flowing PMMA and alga particles were measured using a multimodal system of CARS and TPEAF signals. The average intensity of both PMMA and alga particles in the CARS signals at the frequency of 2940 cm−1 were higher than the background level, while only algae emit TPEAF signals. Therefore, classification of PMMA and alga particles in flow has been successfully performed by simultaneous detection of CARS and TPEAF signals. With the proposed method, monitoring of microplastics in continuous water flow without collection or extraction is possible, which is game-changing for current sampling-based microplastic analysis.
0003-2700
Takahashi, Tomoko
3f3f98c5-993c-4e11-b5ec-0fa4dbdbced9
Herdzik, Krzysztof Pawel
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Bourdakos, Konstantinos
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Read, James Arthur
d2fef987-7772-42d1-a05f-aba7f32c2871
Mahajan, Sumeet
b131f40a-479e-4432-b662-19d60d4069e9
Takahashi, Tomoko
3f3f98c5-993c-4e11-b5ec-0fa4dbdbced9
Herdzik, Krzysztof Pawel
c94de69f-61c5-4ba0-bed5-dd13c5d9ec0b
Bourdakos, Konstantinos
83f6fc3a-db12-476b-9a78-4aad8756f82f
Read, James Arthur
d2fef987-7772-42d1-a05f-aba7f32c2871
Mahajan, Sumeet
b131f40a-479e-4432-b662-19d60d4069e9

Takahashi, Tomoko, Herdzik, Krzysztof Pawel, Bourdakos, Konstantinos, Read, James Arthur and Mahajan, Sumeet (2021) Selective imaging of microplastic and organic particles in flow by multimodal coherent anti-Stokes Raman scattering and two-photon excited autofluorescence analysis. Analytical Chemistry. (In Press)

Record type: Article

Abstract

Microplastic pollution is an urgent global issue. While spectroscopic techniques have been widely used for identification of plastics collected from aquatic environments, these techniques are often labour-intensive and time-consuming due to sample collection, preparation and long measurement times. In this study, a method for two-dimensional detection and classification of flowing microplastic and organic particles with high spatial and temporal resolutions has been proposed based on simultaneous detection of coherent anti-Stokes Raman scattering (CARS) and two-photon excited autofluorescence (TPEAF) signals. Poly(methyl methacrylate) (PMMA), polystyrene (PS), and low-density polyethylene (LDPE) particles with the size of several tens to hundreds of µm were selectively detected in flow with an average velocity of 4.17 mm/s by CARS line scanning. With the same velocity of flow, flowing PMMA and alga particles were measured using a multimodal system of CARS and TPEAF signals. The average intensity of both PMMA and alga particles in the CARS signals at the frequency of 2940 cm−1 were higher than the background level, while only algae emit TPEAF signals. Therefore, classification of PMMA and alga particles in flow has been successfully performed by simultaneous detection of CARS and TPEAF signals. With the proposed method, monitoring of microplastics in continuous water flow without collection or extraction is possible, which is game-changing for current sampling-based microplastic analysis.

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2020_Anal_Chem_submission - Accepted Manuscript
Restricted to Repository staff only until 24 February 2022.
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2020_AChem_SI_20210223_submission
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More information

Accepted/In Press date: 24 February 2021

Identifiers

Local EPrints ID: 447476
URI: http://eprints.soton.ac.uk/id/eprint/447476
ISSN: 0003-2700
PURE UUID: b1b2e1d3-1a68-465c-a32f-bd6b46d2710b
ORCID for James Arthur Read: ORCID iD orcid.org/0000-0001-5923-1688
ORCID for Sumeet Mahajan: ORCID iD orcid.org/0000-0001-8923-6666

Catalogue record

Date deposited: 12 Mar 2021 17:31
Last modified: 22 Oct 2021 01:51

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Contributors

Author: Tomoko Takahashi
Author: Krzysztof Pawel Herdzik
Author: Konstantinos Bourdakos
Author: James Arthur Read ORCID iD
Author: Sumeet Mahajan ORCID iD

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