Semantic Scholar Open Access 2018 823 sitasi

Synthetic Polymer Contamination in Bottled Water

S. Mason Victoria G. Welch Joseph Neratko

Abstrak

Eleven globally sourced brands of bottled water, purchased in 19 locations in nine different countries, were tested for microplastic contamination using Nile Red tagging. Of the 259 total bottles processed, 93% showed some sign of microplastic contamination. After accounting for possible background (lab) contamination, an average of 10.4 microplastic particles >100 um in size per liter of bottled water processed were found. Fragments were the most common morphology (66%) followed by fibers. Half of these particles were confirmed to be polymeric in nature using FTIR spectroscopy with polypropylene being the most common polymer type (54%), which matches a common plastic used for the manufacture of bottle caps. A small fraction of particles (4%) showed the presence of industrial lubricants. While spectroscopic analysis of particles smaller than 100 um was not possible, the adsorption of the Nile Red dye indicates that these particles are most probably plastic. Including these smaller particles (6.5–100 um), an average of 325 microplastic particles per liter of bottled water was found. Microplastic contamination range of 0 to over 10,000 microplastic particles per liter with 95% of particles being between 6.5 and 100 um in size. Data suggests the contamination is at least partially coming from the packaging and/or the bottling process itself. Given the prevalence of the consumption of bottled water across the globe, the results of this study support the need for further studies on the impacts of micro- and nano- plastics on human health.

Penulis (3)

S

S. Mason

V

Victoria G. Welch

J

Joseph Neratko

Format Sitasi

Mason, S., Welch, V.G., Neratko, J. (2018). Synthetic Polymer Contamination in Bottled Water. https://doi.org/10.3389/fchem.2018.00407

Akses Cepat

Lihat di Sumber doi.org/10.3389/fchem.2018.00407
Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
823×
Sumber Database
Semantic Scholar
DOI
10.3389/fchem.2018.00407
Akses
Open Access ✓