AI Article Synopsis

  • The study addresses the challenge of identifying deceased migrants by determining their region of origin, which aids in matching their post mortem data with ante mortem information.
  • Researchers used stable isotope analysis on hair, bone, and dental enamel samples from six individuals to distinguish between those from West Africa and the Horn of Africa.
  • Findings indicated significant differences in stable isotope compositions that reflect regional food and water sources, suggesting the method can effectively narrow down the origins of deceased migrants and support their migration history.

Article Abstract

In the global migration crisis, one of the challenges in the effort to identify deceased migrants is establishing their region of origin, which facilitates the search for ante mortem data to be compared with the post mortem information. This pilot study explores the potential of using stable isotope analysis to distinguish between individuals coming from West Africa and the Horn of Africa. Six individuals (four of known origin and two of unknown origin) were sampled. δC, δN and δO of hair were analysed using Elemental Analyzers coupled with Isotope Ratio Mass Spectrometry (IRMS). δO and δC of bone were analysed using GasBench II with IRMS, while Sr/Sr composition was determined in bone and dental enamel using laser ablation multi-collector inductively coupled plasma mass spectrometry. The stable isotope compositions of the individual from the Horn of Africa differed from the other individuals. The differences found between Sr/Sr of enamel and bone and between δO and δC in bone and hair reflect changes in sources of food and water in accordance with regionally typical migration journeys. The analysis of multiple stable isotopes delivered promising results, allowing us to narrow down the region of origin of deceased migrants and corroborate the information about the migration journey.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669205PMC
http://dx.doi.org/10.3390/biology12111371DOI Listing

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