Microplastics Detection in Streaming Tap Water with Raman Spectroscopy

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OriginalspracheEnglisch
Aufsatznummer1839
Seitenumfang11
FachzeitschriftSensors (Switzerland)
Jahrgang19
Ausgabenummer8
PublikationsstatusVeröffentlicht - 2 Apr. 2019

Abstract

Microplastic particles have been found in drinking water sources worldwide and, thus, also in our food and beverages. Especially small microplastics, with sizes of 1 mm and less, cannot be identified reliably without spectroscopic means such as Fourier transform infrared spectroscopy (FTIR) or Raman spectroscopy, usually applied to the particles extracted from the samples. However, for drinking and tap water, with its comparatively low biological loads, direct observation may be possible and allows a point-of-entry monitoring for beverages and food to ensure uncontaminated drinking water is being used. In a proof of concept, we apply Raman spectroscopy to observe individual microplastic particles in tap water with added particulate and fluorescent contaminants streaming with 1 L/h through a custom-made flow cell. We evaluated several tubing materials for compatibility with microplastic suspensions containing three different polymers widely found in microplastic surveys worldwide. The experiment promises the monitoring of streaming tap water and even clear surface waters for microplastics smaller than 0.1 mm.

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Microplastics Detection in Streaming Tap Water with Raman Spectroscopy. / Kniggendorf, Ann Kathrin; Wetzel, Christoph; Roth, Bernhard.
in: Sensors (Switzerland), Jahrgang 19, Nr. 8, 1839, 02.04.2019.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Kniggendorf AK, Wetzel C, Roth B. Microplastics Detection in Streaming Tap Water with Raman Spectroscopy. Sensors (Switzerland). 2019 Apr 2;19(8):1839. doi: 10.3390/s19081839, 10.15488/4848
Kniggendorf, Ann Kathrin ; Wetzel, Christoph ; Roth, Bernhard. / Microplastics Detection in Streaming Tap Water with Raman Spectroscopy. in: Sensors (Switzerland). 2019 ; Jahrgang 19, Nr. 8.
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N1 - Funding Information: Funding: This research was funded by the German Bundesministerium für Bildung und Forschung (BMBF, Federal Ministry of Education and Research) within the collaborative project OPTIMUS (13N13811) and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy within the Cluster of Excellence PhoenixD (EXC 2122). The publication of this article was funded by the Open Access Fund of the Leibniz Universität Hannover.

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