Catalytic Performance Data for Bio-Jet Fuel Precursor Synthesis

A dataset from 2025 describing the synthesis and testing of mesoporous silica-supported Zr-MOF-808 catalysts for aldol condensation. The data, authored by Gabriel Morales, includes performance metrics such as furfural conversion and selectivity for the C11 aldol adduct under varying reaction conditions.

Use Cases

• Modeling catalyst performance based on textural properties like surface area and mesopore size mentioned in the description
• Analyzing the relationship between Lewis acidity, determined by FTIR, and catalytic activity
• Studying catalyst deactivation and stability over successive reaction cycles
• Optimizing reaction parameters like temperature and furfural-to-Zr ratio for yield and selectivity

Strengths

• Includes specific performance metrics, such as 68% furfural conversion and 90% selectivity for an optimal catalyst
• Describes controlled experimental variables, including temperature (130°C) and mass ratios (150:1, 75:1)
• Compares hybrid catalysts against pure materials, highlighting stability differences

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

Gabriel Morales via e-cienciaDatos Harvested Dataverse

Collection Method

Likely contains experimental results from laboratory synthesis and catalytic testing.

Time Range

Dataset pertains to research conducted prior to its 2025 publication date.

Freshness

Last updated 2025-11-04 22:08:12; freshness should be verified

Geography

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