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A non-invasive method of microplastics pollution quantification in green sea turtle Chelonia mydas of the Mexican Caribbean

Marine Pollution Bulletin 2024 12 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 60 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Dalila Aldana Aranda, Pauline Sindou, Juan V. Cauich Rodriguez, Gisela Maldonado Saldaña, Rossana Faride Vargas‐Coronado, Wendy Donaji Nicolás González, Martha Enríquez Díaz, Víctor Castillo Escalante

Summary

Researchers used a non-invasive method of analyzing green sea turtle feces to measure microplastic contamination near the Caribbean coast of Mexico, finding between 10 and 89 microplastic particles per gram. Fibers were the most common type, made of nylon, PVC, polypropylene, and polyester. The study shows that even marine wildlife in relatively remote areas is exposed to significant microplastic pollution, and provides a way to monitor contamination without harming the animals.

Due to the amply exposure of marine turtles to marine plastic pollution, this is a reason that the green sea turtle Chelonia mydas makes a good candidate species as a bioindicator for plastic pollution. Turtle feces were collected at Isla Blanca on the northeast Caribbean coast of the Yucatan Peninsula, Mexico. Microplastic extraction was done following Hidalgo-Ruz et al. (2012) and Masura et al. (2015) methods. After organic matter degradation of the feces samples, microplastics were identified and quantified by stereomicroscope. Their morphostructure was analyzed by scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy, while their composition was determined by Fourier transform infrared spectroscopy and Raman spectroscopy. Microplastics (MP) abundance ranged from 10 ± 2 MP·g to 89 ± 3 MP·g. Kruskal Wallis test (KW = 70.31, p < 0.001) showed a significant difference between 22 green turtles analyzed. Most of the microplastics were fiber type. Blue, purple, and transparent fibers were the most abundant. The identified microplastics were nylon (polyamide), PVC, polypropylene, polyester, and viscose (cellulose). The non-invasive method used here allowed the detection of microplastic pollution and is promising for long-term microplastic pollution monitoring.

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