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Beetroot dye - a potential segregator for image analysis based microplastic detection
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This study describes a new method for detecting microplastics in environmental samples using beetroot dye as a selective stain, where the dye absorbs onto non-plastic surfaces leaving plastic particles unstained. Compared to the commonly used Nile Red fluorescent stain, beetroot dye showed better potential for image analysis-based microplastic identification.
The paper presents a new method for detecting microplastics in environmental samples, based on selective staining using a beetroot dye followed by image analysis. The beetroot dye absorbs quickly onto the non-plastic surfaces leaving the microplastics unstained. An RGB comparison between the images taken before and after the staining process reveals the number of microplastics. This paper provides the details of the experiments conducted to show that beetroot dye has better potential than conventional Nile Red (NR) staining to detect microplastics.
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When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.