Fluorescent Sensor Array Data for PFOA Precursors

A fluorescent sensor platform developed by Kyra D. Tripp for detecting and differentiating three specific perfluorooctanoic acid (PFOA) precursors. The sensor array likely contains data on fluorescence responses to individual precursors, mixtures, and complex soil samples at low nanomolar concentrations. The dataset was last updated on May 6, 2026.

Use Cases

• Training classification models based on fluorescence response patterns to differentiate PFOA precursors.
• Developing calibration curves for sensor arrays based on concentration data.
• Analyzing sensor performance in complex environmental matrices based on soil sample extraction data.
• Comparing detection sensitivity based on low nanomolar concentration measurements.

Strengths

• The sensor platform operates at environmentally relevant low nanomolar concentrations.
• The method can discriminate individual precursors from each other and from perfluoroalkyl carboxylic acids of varying chain lengths.
• The dataset likely contains results from tests in complex samples extracted from spiked soil.
• The dataset is the first reported fluorescence-based method for detecting PFOA precursors.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (58.0 KB), indicating limited scope.

Provenance

Source

Kyra D. Tripp via figshare.

Collection Method

Experimental data from a fluorescent sensor platform using dynamic combinatorial libraries templated with a solvatochromic fluorophore.

Freshness

Last updated 2026-05-06 03:06:22; freshness should be verified.