Optimized Nile Red Staining Protocol for Detecting Microplastics ≤ 2 µm

Data Sheet 2_Systematic optimization of Nile Red staining parameters for the reliable detection of microplastics ≤ 2 µm.pdf is a 112.7 KB PDF document authored by Uroosa and last updated on 2026-04-23. It describes an optimized filtration and Nile Red staining protocol for detecting microplastics smaller than 5 µm, with a focus on particles ≤ 2 µm. The protocol is designed as a cost-effective alternative to techniques like FTIR and Raman spectroscopy for labs with lower resources.

Use Cases

• Developing a fluorescence-based detection pipeline for small microplastics based on the described staining protocol.
• Optimizing lab procedures for particle analysis based on the systematic testing of filtration conditions and dye parameters.
• Screening environmental samples for microplastics prior to more advanced spectroscopic analysis based on the protocol's intended use.
• Assessing dye specificity for plastics versus inorganic materials based on the described control experiments.

Strengths

• Protocol is specifically optimized for detecting microplastics ≤ 2 µm, a challenging size range.
• Describes systematic optimization of key parameters including Nile Red concentration and incubation time.
• Reports strong and consistent signals for polystyrene (1 µm and 2 µm) and polyethylene (2 µm) particles.
• Document is shared under a permissive CC-BY-4.0 license.

Limitations

• Dataset is a 112.7 KB PDF document; 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.
• The protocol's performance is demonstrated on specific polymer types (polystyrene, polyethylene); generalizability to other plastics may require verification.

Provenance

Source

Uroosa (via figshare)

Collection Method

Laboratory experimentation to optimize a fluorescence staining protocol.

Time Range

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Freshness

Last updated 2026-04-23 04:15:22; freshness should be verified.

Geography

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