Comparison of two methods of extracting bone collagen for stable carbon and nitrogen isotope analysis: comparing whole bone demineralization with gelatinization and ultrafiltration
Comparison of two methods of extracting bone collagen for stable carbon and nitrogen isotope analysis: comparing whole bone demineralization with gelatinization and ultrafiltration
复制标题
两种提取骨胶原进行稳定碳氮同位素分析的方法比较:全骨脱矿与糊化和超滤的比较
DOI:
10.1016/j.jas.2014.04.011
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发表时间:
2014
影响因子:
2.8
通讯作者:
Nehlich O
中科院分区:
文献类型:
--
作者:
Sealy J;Johnson M;Richards MP;Nehlich O
We compare two methods of isolating bone collagen for stable carbon and nitrogen isotope analysis. The older method (as practised at the University of Cape Town) demineralizes bone ‘chunks’, while the newer method (as practised at the Max Planck Institute for Evolutionary Anthropology in Leipzig) involves demineralization, gelatinization and ultra-filtration to select only higher molecular weight protein fragments for isotopic analysis. The latter method was developed for problematic (i.e. poorly-preserved) samples and while it is more rigorous, it is also significantly more expensive and more labor-intensive. Our aim is to find out whether there is any difference between the δ13C and δ15N of bone collagen isolated from relatively well-preserved bones using the two methods. Our sample set consists of 5 modern and 47 archaeological animal and human bones from the southern and western parts of South Africa. Archaeological specimens range in age from a few hundred to approximately six thousand years old. Collagen was extracted, its quality assessed using %C, %N and C:N, and δ13C and δ15N values measured independently in both laboratories. There are no statistically significant differences between the sets of δ13C and δ15N values from the two laboratories. For relatively well-preserved bones, the ‘chunk’ method of collagen preparation continues to be an acceptable alternative to more sophisticated collagen extraction protocols for C and N isotope analysis.
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影响因子:
1.8
作者:
M. Richards;R. Schmitz
通讯作者:
R. Schmitz
影响因子:
64.8
作者:
H. Sellstedt;L. Engstrand;N. Gejvall
通讯作者:
N. Gejvall
影响因子:
2.8
作者:
W. Pestle
通讯作者:
W. Pestle
影响因子:
56.9
作者:
R. Berger;A. G. Horney;W. F. Libby
通讯作者:
W. F. Libby
DOI:
--
发表时间:
1996
期刊:
影响因子:
--
作者:
J. Sealy
通讯作者:
J. Sealy