Archaeological Science

Archaeological science integrates laboratory-based analyses, field-survey techniques and computational methods to recover, characterise and interpret traces of past human activity. Drawing on physics, chemistry, biology, earth sciences and digital technologies, practitioners reconstruct chronology, provenance, technology, environment and social behaviour from material remains. Radiometric dating anchors finds in time, isotopic and elemental analyses reveal raw-material sources and trade networks, while biomolecular and proteomic studies uncover ancient diets, mortuary practices and craft recipes. Geophysical prospection and remote sensing map buried structures and landscape modifications, and machine-learning algorithms automate site detection and artefact classification. Together, these tools advance our understanding of technological innovation, resource use and human–environment interactions across diverse regions and periods, while informing heritage conservation and community engagement strategies.

Research from Nature Portfolio

A multi-analytical workflow combining petrography, X-ray diffraction, scanning electron microscopy and stable-isotope screening has been developed to isolate pure carbonate binders from historical mortars prior to accelerator-mass-spectrometry radiocarbon dating. Applied to complex medieval church mortars in northern Italy, the procedure disentangled mixed geological carbonates and produced calibrated ages in close agreement with archival records.
Proteomic and organic-residue analyses of ceramic vessels and associated containers from an Egyptian embalming workshop have identified specific mixtures of conifer oils, tars and exotic resins used in head-treatment and wrapping preparations. Molecular signatures link these substances to Mediterranean and tropical forests, illuminating first-millennium BCE trade routes for aromatic and antiseptic ingredients.
In Mesopotamian floodplain landscapes, a human–AI collaboration workflow has refined semantic-segmentation deep-learning models for archaeological-site detection. By iteratively integrating expert annotations with pre-trained neural networks, the approach generates site-probability heat-maps and vector layers that guide targeted field surveys and streamline interpretive decision-making.

Research from all publishers

A post-processual “contextual numismatics” framework emphasises the depositional history and site-specific associations of coin finds over typological classification. Applied to Roman and late antique hoards, it reveals economic, ritual and social dimensions of currency circulation previously obscured by purely typological approaches.
A new lead-isotope database for Chinese ore provinces, underpinned by geological and tectonic interpretations, has enabled high-precision provenancing of Shang–Zhou bronzes. Multiple highly radiogenic sources have been discriminated, refining models of prehistoric metal supply networks across eastern China.
Combined lead and tin isotopic studies of Late Bronze Age silver hoards and ingots from the Levant and Aegean have traced millennia-long shifts in metal supply—initial imports from Anatolia and Greece, Phoenician-mediated exchanges with Iberia, and European Variscan tin sources—linking isotopic patterns to major political and economic transitions.

Archaeological Science publication trend

The graph below shows the total number of articles in archaeological science across all publications each year (not limited to Nature Index journals).

Technical terms

Radiocarbon dating: Measurement of residual carbon-14 in organic material to determine its calendar age.

Isotopic provenance analysis: Use of stable and radiogenic isotope ratios to trace the geological origin of archaeological materials.

MC-ICP-MS: Multi-collector inductively coupled plasma mass spectrometry, a high-precision technique for measuring trace-element and isotopic compositions.

Proteomics: Identification and analysis of proteins and peptides in residues to reconstruct biological and technological processes.

Semantic segmentation: A deep-learning computer-vision method that classifies each pixel in an image to detect and delineate archaeological features.

References

1. Integrated multi-analytical screening approach for reliable radiocarbon dating of ancient mortars. Scientific Reports (2022).
2. Biomolecular analyses enable new insights into ancient Egyptian embalming. Nature (2023).
3. A human–AI collaboration workflow for archaeological sites detection. Scientific Reports (2023).
4. Contextual numismatics: a post-processual approach illustrated by application to Roman coins. Heritage Science (2023).
5. A geochemical characterization of lead ores in China: An isotope database for provenancing archaeological materials. PLOS ONE (2019).
6. One Thousand Years of Mediterranean Silver Trade to the Levant: A Review and Synthesis of Analytical Studies. Journal of Archaeological Research (2024).