Mango Kernel Starch Nanogels with Swelling and Toxicity Data

Research data from a study on transforming mango kernel starch into thermoresponsive nanogels. The dataset likely contains results from elemental analysis, spectroscopy, microscopy, and toxicity assays, including particle sizes of 100-112 nm dry and 598-744 nm hydrated, and swelling degrees of 15,100-41,100%. The work was authored by Marlizia A. L. de Oliveira and is available via Open Access.

Use Cases

• Training models to predict nanoparticle swelling behavior based on grafting degree.
• Analyzing the relationship between nanoparticle size and toxicity for biocompatibility screening.
• Developing classification models for successful polymer grafting using spectroscopy data.

Strengths

• Includes specific, quantified results such as particle sizes (100-112 nm dry, 598-744 nm hydrated) and swelling degrees (15,100-41,100%).
• Reports results from multiple characterization methods: elemental analysis, FTIR, NMR, SEM, and DLS.
• Provides concrete evidence of non-cytotoxicity and non-hemolytic properties from LDH, alamarBlue, and hemolysis assays.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• Data may reflect the specific experimental conditions and source materials of the single study described.

Provenance

Source

paperswithcode

Collection Method

Experimental research data from a scientific study.