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EVALUATION OF MICROWAVE-ASSISTED ACID/OXIDANT DIGESTION METHOD FOR THE DETECTION OF POLYETHYLENE MICROPLASTICS IN Merluccius Gayi FISH BY NILE RED FLUORESCENT STAINING AND IMAGE ANALYSIS
Summary
Researchers developed a faster, more reliable method to detect polyethylene microplastics in hake fish tissue using microwave-assisted digestion and a fluorescent dye called Nile Red, achieving over 98% recovery of microplastic particles without the need for a time-consuming freeze-drying step. They also trained an AI model to visually distinguish polyethylene from other plastic types based on the unique bright yellow glow it produces under fluorescent light.
This study proposes a new method for the determination of polyethylene in Merluccius Gayi by microwave digestion, Nile Red fluorescent staining, mobile phone camera and image analysis.We have demonstrated that lyophilization of the sample is an unnecessary step in the process of determining polyethylene microplastics, obtaining recoveries close to 65% and generating sample losses.Furthermore, a method for matrix reduction is validated using direct raw sample digestion with 9/1 HNO3/H2O2 microwaveassisted digestion achieving recoveries of over 98% for microplastics.Polyethylene fluorescent color obtained was a bright yellow, which allowed it to be distinguished from micro-particles of polystyrene, polypropylene, polyvinyl chloride, and polyethylene terephthalate easily to the naked eye.Additionally, it was possible to train artificial intelligence to perform this selective identification through image analysis.