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Identification of human age using trace element concentrations in hair and the support vector machine method
Chinese Institute of Geographic Sciences and Natural Resources Research, Beijing.
Chinese Institute of Geographic Sciences and Natural Resources Research, Beijing.
Chinese Institute of Geographic Sciences and Natural Resources Research, Beijing.
Department of International Health, Faculty of Health, Medicine and Life Sciences, Maastricht University.
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2011 (English)In: Biological Trace Element Research, ISSN 0163-4984, E-ISSN 1559-0720, Vol. 143, no 3, p. 1441-1450Article in journal (Refereed) Published
Abstract [en]

Trace element content in hair is affected by the age of the donor. Hair samples of subjects from four counties in China where people are known to have long lifespan (“longevity counties”) were collected and the trace element content determined. Samples were subdivided into three age groups based on the age of the donors from whom these were taken: children (0–15 years); elderly (80–99 years); and centenarians (≥100 years). We compared the trace element content in hair of different age groups of subjects. Support vector machine classification results showed that a non-linear polynomial kernel function could be used to classify the three age groups of people. Age did not have a significant effect on the content of Ca and Cd in human hair. The content of Li, Mg, Mn, Zn, Cr, Cu, and Ni in human hair changed significantly with age. The magnitude of the age effect on trace element content in hair was in the order Cu > Zn > Ni > Mg > Mn > Cr > Li. Cu content in hair decreased significantly with increasing age. The hair of centenarians had higher levels of Li and Mn, and lower levels of Cr, Cu, and Ni comparing with that of the children and elderly subjects. This could be a beneficial factor of their long lifespan.

Place, publisher, year, edition, pages
2011. Vol. 143, no 3, p. 1441-1450
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
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URN: urn:nbn:se:ltu:diva-2672DOI: 10.1007/s12011-011-9007-zISI: 000297348900023Scopus ID: 2-s2.0-82455171953Local ID: 05346e5f-9f17-4f2a-b0e3-e3a431e1b052OAI: oai:DiVA.org:ltu-2672DiVA, id: diva2:975525
Note
Validerad; 2011; 20111216 (ysko)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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