Microplastics in Internal Tissues of Companion Animals from Urban Environments.

Companion animals living in urban areas are exposed to environmental contaminants, which may include microplastics. A preliminary study was conducted by collecting postmortem samples from the internal tissue (lungs, ileum, liver, kidney, and blood clots) of 25 dogs (Canis familiaris) and 24 cats (Felis catus) living in an urban environment in Porto metropolitan area, Portugal. Suspected microplastics were found in 80 samples from 35 animals (18 cats and 17 dogs), often occurring in more than one tissue of the same animal (71.4%), primarily under small sizes (50.3% as 1-10 µm). Micro-Raman spectroscopy confirmed a fraction of particles as common polymer types (e.g., polyethylene terephthalate). However, the number of particles was very low. This study highlights the possibilities of the internalization and distribution of microplastics in the internal tissues of terrestrial vertebrates.

Preparation of biological samples for microplastic identification by Nile Red.

Many methods have been used to isolate and identify microplastics from biological matrices. In biological samples, Nile Red can stain undigested residues, such as fats, soaps, and gels formed during organic matter removal, hindering the identification of fluorescent microplastics (≥2 µm). Thus, adjustments on sample preparation (e.g., fat removal) are required for the accurate identification of Nile Red stained microplastics. Multiples tests allowed to identify that digestion with 10% KOH at 60 °C for 24 h, followed by treatments with boiling water, acetone, and staining, produced good results in fourteen biological samples, including vertebrates and invertebrates. Digestion efficiencies were 94-100%, except for feces, which were 87%. Recovery rates of spiked microplastics were 97-100%, and few effects were observed in the infrared spectra and carbonyl index of seven polymers, with only the occasional yellowing suggesting surface changes. Filtration rates were improved by reducing the amount of sample. Small fluorescent microplastics could be identified in all samples under the microscope. Overall, the proposed method was efficient in removing natural organic matter from biological samples for Nile Red staining, requiring minimal sample handling, improving sample throughput, and allowing quantification of fluorescent microplastics in biological samples.

Selection of microplastics by Nile Red staining increases environmental sample throughput by micro-Raman spectroscopy.

Nile Red staining enables visual identification and quantification of fluorescent particles as a proxy to microplastics at low cost and high throughput, including those of small sizes (≥2 µm), when preceded by proper natural organic matter removal, but providing no chemical characterization. On the other hand, micro-spectroscopy methods allow chemical characterization of particles based on their spectra, essential for polymer identification, but are costly and time-consuming. This work addresses the combination of both Nile Red staining with micro-Raman spectroscopy for the identification of microplastics. Besides being useful for quantification, Nile Red staining can be advantageously used as an objective criterion for pre-selection of particles for micro-Raman spectroscopy, producing little interference. The use of the 442 nm laser in micro-Raman spectroscopy induces Nile Red luminescence thus allowing to target the specific suspected microplastics when using an orange filter, reducing the number of particles subjected to identification and improving sample throughput. Staining dyes could also be used for mapping suspected microplastics before targeted analysis by micro-Raman spectroscopy. Thus, coupling Nile Red with micro-Raman spectroscopy can be useful to improve time efficiency while using this equipment.

Identification of microplastics in white wines capped with polyethylene stoppers using micro-Raman spectroscopy.

Beverages, often packaged in plastic, can be a source of microplastics in the human diet. In this study, an improved method for detection of microplastics in white wines capped with synthetic stoppers is explored. Visual quantification in the stereomicroscope or using Nile Red were excluded due to the small size of particles. Quantification in the optical microscope identified up to 5,857 particles.L-1 but lacked chemical characterization. Finally, micro-Raman spectroscopy was used for the first time in complex beverages in the identification of microplastics particles in white wines, allowing identification of at least one synthetic particle for each bottle, except in two cases. Improvements included reduction in volume filtered, selection of aluminum oxide filters, selection of blue laser and lack of H2O2 treatment. Using this method, identification of all particles present in small representative areas of the filter by micro-Raman spectroscopy will allow proper quantification of microplastics in complex beverage matrices.