A critical assessment of visual identification of marine microplastic using Raman spectroscopy for analysis improvement.

By Robin Lenz, K. Enders, C. Stedmon, David M A Mackenzie, T. Nielsen. Marine Pollution Bulletin, 2015

677 citations recorded by the source corpus.

Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Pollution

View Paper: https://www.semanticscholar.org/paper/221eb135d088d906419ef0bd943026bc1154030e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. M. Bigalke
2. Michael Scheurer

In Industrial and Manufacturing Engineering

1. P. Hollman
2. Jeremy Mendoza-Hill
3. A. Lusher
4. G. Duflos
5. S. Mason
6. A. Dehaut
7. I. Paul-Pont
8. Márta Simon

In Pollution

1. P. Hollman
2. Jeremy Mendoza-Hill
3. A. Lusher
4. G. Duflos
5. S. Mason
6. A. Dehaut
7. I. Paul-Pont
8. Márta Simon

Citations in the corpus

• Microplastics in seafood: Benchmark protocol for their extraction and characterization. (2016, background): “The heterogeneity of the particle in terms of morphology, roughness 359 or orientation and the move of particles before and after chemical treatments conduct to intensity 360 fluctuations (Lenz et al., 2015).”
• Reporting Guidelines to Increase the Reproducibility and Comparability of Research on Microplastics (2020, background): “…time of spectral acquisition) 37,63,111–115 Pre-processing parameters (i.e., spike filter, smoothing, baseline correction, data transformation) 56,112,115,116 Spectral matching parameters (i.e., spectral library source, range of spectral wavelengths used to match, match threshold, matching…”
• Microplastics in bivalves and their habitat in relation to shellfish aquaculture proximity in coastal British Columbia, Canada (2019, result): “Given that the lower limit for reliable visual identification of particles has been stated by some researchers as 100 µm in diameter (Dekiff et al. 2014, Lenz et al. 2015), the results of Kazmiruk et al. (2018) are unusual and unprecedented in the published literature.”
• Occurrence, identification and removal of microplastic particles and fibers in conventional activated sludge process and advanced MBR technology. (2018, methodology): “For minimizing the chance for false-negative microplastics (Lenz et al., 2015), representatives of all classified particles and fibers (e.g. cellulose) were confirmed with spectroscopic methods.”
• Microplastic pollution is widely detected in US municipal wastewater treatment plant effluent. (2016, background): “Lenz et al. (2015) noted that 75% of fibers identified by visual inspection as plastic in marine samples were later verified as plastic via Raman spectroscopy.”
• Analysis of microplastics in water by micro-Raman spectroscopy: Release of plastic particles from different packaging into mineral water. (2018, neutral): “…predominant polymer types 215 were PET, but also PE, PS and PP. 216 In their critical assessment of visual identification of marine microplastic using Raman 217 spectroscopy, Lenz et al. already pointed out that colored particles or polymers are difficult to 218 differentiate (Lenz et al., 2015).”