J
2018
BOMB PEAK: RADIOCARBON DATING OF SKELETAL REMAINS IN ROUTINE FORENSIC MEDICAL PRACTICE
HANDLOS, Petr, Ivo SVETLIK, Ladislava HORÁČKOVÁ, Michal FEJGL, Lukas KOTIK et. al.
Základní údaje
Originální název
BOMB PEAK: RADIOCARBON DATING OF SKELETAL REMAINS IN ROUTINE FORENSIC MEDICAL PRACTICE
Autoři
HANDLOS, Petr (203 Česká republika), Ivo SVETLIK (203 Česká republika, garant), Ladislava HORÁČKOVÁ (203 Česká republika, domácí), Michal FEJGL (203 Česká republika), Lukas KOTIK (203 Česká republika), Veronika BRYCHOVA (203 Česká republika), Natalia MEGISOVA (203 Česká republika) a Klara MARECOVA (203 Česká republika)
Vydání
RADIOCARBON, TUCSON, UNIV ARIZONA DEPT GEOSCIENCES, 2018, 0033-8222
Další údaje
Typ výsledku
Článek v odborném periodiku
Obor
30106 Anatomy and morphology
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 1.531
Kód RIV
RIV/00216224:14110/18:00104161
Organizační jednotka
Lékařská fakulta
Klíčová slova anglicky
forensic medicine; radiocarbon bomb peak dating; skeletal remains
Příznaky
Mezinárodní význam, Recenzováno
V originále
When human remains are found, apart from helping explain the cause of death and determining the extent of any injuries, forensic pathologists are usually requested to determine the identity of the deceased and how much time has elapsed since his death. In the Czech Republic, the criminal liability for murder is set to a statute of limitations of 20 years. In our pilot study, tissue samples of human remains from two decedents were radiocarbon (C-14) dated to estimate the date of death. In agreement with published literature, we have confirmed relatively short carbon turnover time in hair, nail, and bone fat. Therefore these samples are the most appropriate for determining date of death. Other samples, such as teeth (collagen and carbonate form) and collagen isolated from bone samples, which exhibit relatively long carbon turnover time, can be used to reduce ambiguity of dating results and to indicate some interfering influences. Given the possibility of processing multiple sample types, we also propose brief guidelines for comparing and interpreting the results of individual analyses.
Zobrazeno: 3. 11. 2024 15:49