期刊
TALANTA
卷 226, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.talanta.2021.122126
关键词
Chemical mapping; Normalized difference images (NDI); Near-infrared spectroscopy; Hyperspectral imaging; Ancient bones; Collagen
资金
- European Research Council (ERC) [724046]
- FARE programme 2018 (FARE Ricerca in Italia: Framework per l'attrazione e il rafforzamento delle eccellenze - MIUR)
- European Research Council under the European Union's Horizon 2020 Research and Innovation Programme [803147]
The study introduces an innovative near-infrared hyperspectral imaging method to provide information for bioarcheological research and preserve precious bone samples.
In the present study, an innovative and highly efficient near-infrared hyperspectral imaging (NIR-HSI) method is proposed to provide spectral maps able to reveal collagen distribution in large-size bones, also offering semi-quantitative estimations. A recently introduced method for the construction of chemical maps, based on Normalized Difference Images (NDI), is declined in an innovative approach, through the exploitation of the NDI values computed for each pixel of the hyperspectral image to localize collagen and to extract information on its content by a direct comparison with known reference samples. The developed approach addresses an urgent issue of the analytical chemistry applied to bioarcheology researches, which rely on well-preserved collagen in bones to obtain key information on chronology, paleoecology and taxonomy. Indeed, the high demand for large-sample datasets and the consequent application of a wide variety of destructive analytical methods led to the considerable destruction of precious bone samples. NIR-HSI pre-screening allows researchers to properly select the sampling points for subsequent specific analyses, to minimize costs and time and to preserve integrity of archaeological bones (which are available in a very limited amount), providing further opportunities to understand our past.
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