Chemical and Thermal Analysis Data for Archaeological Adhesive Model Mixtures

I. Bertelli's 2026 figshare dataset investigates multi-component organic adhesives used in archaeology. The work analyzes model mixtures of pine resin, beeswax, and vegetable oil, aged for 2 months, using ATR-FTIR, TGA, and EGA-MS techniques. Principal Component Analysis and Design of Experiments were applied to interpret the spectroscopic and thermal stability data.

Use Cases

• Classifying adhesive compositions based on spectroscopic signatures mentioned in the description.
• Modeling thermal degradation behavior of multi-component organic materials based on thermogravimetric analysis.
• Identifying key variables affecting material stability using the Design of Experiments approach described.
• Monitoring aging processes in organic materials over time based on the ATR-FTIR monitoring mentioned.

Strengths

• Data generated from multiple analytical techniques (ATR-FTIR, TGA, EGA-MS) providing complementary perspectives.
• Includes both freshly prepared and 2-month aged model samples for degradation study.
• Analysis includes statistical interpretation via Principal Component Analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The primary data file is a 1.2 MB DOCX document, which may require extraction or conversion for analysis.

Provenance

Source

I. Bertelli via figshare.

Collection Method

Laboratory analysis of prepared model mixtures and archaeological samples using spectroscopy and thermal analysis.

Time Range

Model mixtures were aged for 2 months; specific collection date is unknown.

Freshness

Last updated 2026-04-20 05:22:55; freshness should be verified.

Geography

Geographic coverage of archaeological samples is unknown.