Optimized Nile Red Staining Protocol for Microplastic Detection Under 2 Micrometers

A 1.2 MB PDF authored by Uroosa and last updated in April 2026 details an optimized filtration and Nile Red staining protocol for detecting microplastics smaller than 5 µm, with emphasis on particles ≤ 2 µm. The protocol was systematically tested on polystyrene and polyethylene particles, demonstrating strong signals and dye specificity against inorganic controls. This cost-effective method is designed for labs with lower resources and for initial screening of natural samples.

Use Cases

• Developing affordable microplastic detection workflows based on the described Nile Red staining protocol
• Optimizing particle filtration and staining parameters for sub-5-micrometer particles based on the systematic study
• Screening environmental samples for small microplastics prior to more advanced spectroscopic analysis
• Assessing dye specificity for plastics versus inorganic or biological material based on the described control tests

Strengths

• Protocol is optimized for detecting particles as small as 1 µm and 2 µm, a challenging size range
• Demonstrated specificity with no fluorescence observed in inorganic controls or fixed biological material
• File is openly licensed under CC-BY-4.0 for broad reuse and modification

Limitations

• Dataset is a 1.2 MB PDF; the underlying experimental data (e.g., raw images, measurements) is not directly provided
• Column-level documentation is absent; field semantics must be inferred from the document text
• Row count is unknown, which may limit suitability assessment for quantitative analysis

Provenance

Source

figshare

Collection Method

Laboratory experiment systematically optimizing filtration conditions and staining parameters (Nile Red concentration, incubation time).

Time Range

The study period is not specified in the provided metadata.

Freshness

Last updated 2026-04-23 04:15:23; freshness should be verified

Geography

Geographic scope of the samples is not specified in the provided metadata.