The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
A rapid-screening approach to detect and quantify microplastics based on fluorescent tagging with Nile Red
Open accessAbstract
A new approach is presented for analysis of microplastics in environmental samples, based on selective fluorescent staining using Nile Red (NR), followed by density-based extraction and filtration. The dye adsorbs onto plastic surfaces and renders them fluorescent when irradiated with blue light. Fluorescence emission is detected using simple photography through an orange filter. Image-analysis allows fluorescent particles to be identified and counted. Magnified images can be recorded and tiled to cover the whole filter area, allowing particles down to a few micrometres to be detected. The solvatochromic nature of Nile Red also offers the possibility of plastic categorisation based on surface polarity characteristics of identified particles. This article details the development of this staining method and its initial cross-validation by comparison with infrared (IR) microscopy. Microplastics of different sizes could be detected and counted in marine sediment samples. The fluorescence staining identified the same particles as those found by scanning a filter area with IR-microscopy.
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Cites
Accumulation and fragmentation of plastic debris in global environments
Barnes, D. K. A., Galgani, F., Thompson, R. C., & Barlaz, M. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0205 · Cited by 6,126
Microplastics as contaminants in the marine environment: A review
Cole, M., Lindeque, P., Halsband, C., & Galloway, T. S. (2011) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2011.09.025 · Cited by 6,023
Hidalgo-Ruz, V., Gutow, L., Thompson, R. C., & Thiel, M. (2012) · Environmental Science & Technology · doi:10.1021/es2031505 · Cited by 5,440
The Physical Impacts of Microplastics on Marine Organisms: A Review
Wright, S. L., Thompson, R. C., & Galloway, T. S. (2013) · Environmental Pollution · doi:10.1016/j.envpol.2013.02.031 · Cited by 4,524
Lusher, A. L., McHugh, M., & Thompson, R. C. (2013) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2012.11.028 · Cited by 2,075
Van Cauwenberghe, L., Claessens, M., Vandegehuchte, M. B., & Janssen, C. R. (2015) · Environmental Pollution · doi:10.1016/j.envpol.2015.01.008 · Cited by 1,084
Fries, E., Dekiff, J. H., Willmeyer, J., Nuelle, M.-T., Ebert, M., & Remy, D. (2013) · Environmental Science: Processes & Impacts · doi:10.1039/c3em00214d · Cited by 926
A high throughput Nile red method for quantitative measurement of neutral lipids in microalgae
Chen, W., Zhang, C., Song, L., Sommerfeld, M., & Hu, Q. (2009) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2009.01.001 · Cited by 681
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Carbery, M., O'Connor, W., & Palanisami, T. (2018) · Environment International · doi:10.1016/j.envint.2018.03.007 · Cited by 1,425
Atmospheric microplastic deposition in an urban environment and an evaluation of transport
Wright, S. L., Ulke, J., Font, A., Chan, K. L. A., & Kelly, F. J. (2020) · Environment International · doi:10.1016/j.envint.2019.105411 · Cited by 1,222
Chemical Analysis of Microplastics and Nanoplastics: Challenges, Advanced Methods, and Perspectives
Ivleva, N. P. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00178 · Cited by 1,172
Synthetic Polymer Contamination in Bottled Water
Mason, S. A., Welch, V. G., & Neratko, J. (2018) · Frontiers in Chemistry · doi:10.3389/fchem.2018.00407 · Cited by 1,100
Identification of microplastics using Raman spectroscopy: Latest developments and future prospects
Araujo, C. F., Nolasco, M. M., Ribeiro, A. M. P., & Ribeiro-Claro, P. J. A. (2018) · Water Research · doi:10.1016/j.watres.2018.05.060 · Cited by 1,059
Metadata
- Authors
- Maes, T., Jessop, R., Wellner, N., Haupt, K., & Mayes, A. G.
- Venue
- Scientific Reports
- Published
- 2017-03-16
- Volume
- 7
- Issue
- 1
- Pages
- 44501-44501
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2595394306
- Cited by
- 998
- References
- 8
- FWCI
- 22.17
- Type
- journal article
- Language
- en
- Open access
- gold
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- Maes, T., Jessop, R., Wellner, N., Haupt, K., & Mayes, A. G. (2017). A rapid-screening approach to detect and quantify microplastics based on fluorescent tagging with Nile Red. Scientific Reports. https://doi.org/10.1038/srep44501
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.