MgO Catalyst Performance Data for Selective Lignocellulosic Waste Delignification

Replication Data for MgO-based catalysts for selective delignification of lignocellulosic waste and carboxylic acids production under mild hydrothermal conditions, authored by Vidal Duarte, Nora and harvested by e-cienciaDatos. The dataset likely contains results from catalytic experiments, including lignin conversion rates and carboxylic acid yields, with a last update recorded on 2025-10-14.

Use Cases

• Benchmarking catalyst performance based on reported lignin conversion and carboxylic acid yield metrics.
• Modeling relationships between catalyst properties (e.g., base site concentration, macroporosity) and activity described in the study.
• Training models to predict optimal conditions for selective biomass delignification based on experimental parameters.
• Analyzing trade-offs between lignin degradation and preservation of cellulose/hemicellulose polymers as described.

Strengths

• Specific catalytic performance metrics are reported, such as approximately 90% lignin conversion and 30% carbon conversion to carboxylic acids.
• Experimental conditions are explicitly detailed, including mild hydrothermal conditions (120°C) using water as a solvent.
• The dataset is associated with a specific research study, providing context for the data generation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

e-cienciaDatos Harvested Dataverse

Collection Method

Likely contains experimental results from synthesized MgO catalysts tested on lignocellulosic waste.

Time Range

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Freshness

Last updated 2025-10-14 21:49:44; freshness should be verified.

Geography

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