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Co-staining microplastics with Nile Red and Rose Bengal for improved optical quantification
Benedetta Villa1,2, Gaia Bolla1, Isabella Gambino1
1Department of Science and High Technology, University of Insubria, Via Valleggio 11, Como, Italy.
Scientific Reports
|December 23, 2025
Summary
This study introduces a novel co-staining method using Nile Red and Rose Bengal dyes to accurately identify microplastics (MPs) in environmental samples. This technique improves accuracy and saves time in microplastic contamination assessments.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Polymer Science
Background:
- Microplastic (MP) contamination poses a significant environmental threat, necessitating accurate quantification for risk assessment.
- Current MP quantification methods struggle to differentiate plastic from natural organic matter and are time-consuming.
- Incomplete digestion of natural polymers during sample preparation leads to inaccuracies in MP analysis.
Purpose of the Study:
- To develop an innovative optical microscopy technique for accurate microplastic quantification.
- To improve the differentiation between natural and synthetic polymer fragments in environmental samples.
- To reduce errors and save time in microplastic analysis.
Main Methods:
- A sequential co-staining technique using Nile Red (NR) and Rose Bengal (RB) was developed.
- Natural polymers (cellulose, protein, lignin, chitin) and synthetic polymers (PVC, PS, PET, PP, Nylon, HDPE, LDPE) were stained with NR and RB.
- The efficacy of co-staining for distinguishing natural from synthetic fragments was evaluated using optical microscopy.
Main Results:
- Co-staining with Nile Red and Rose Bengal effectively separates natural and synthetic polymer fragments.
- The technique significantly improves the accuracy of visual microplastic identification.
- Simultaneous staining on the same filter reduces counting errors and saves considerable time.
Conclusions:
- The sequential co-staining technique offers a more reliable method for microplastic quantification.
- This approach enhances the accuracy of microplastic analysis in diverse environmental matrices.
- Improved monitoring capabilities will support better-informed risk assessments and mitigation strategies for microplastic pollution.

