Suppr超能文献

年龄、性别、吸烟习惯和头发颜色对头发成分的影响。

The effect of age, sex, smoking habit and hair color on the composition of hair.

机构信息

Institute of Inorganic Technology and Mineral Fertilizers, Wrocław University of Technology, ul. Smoluchowskiego 25, 50-372 Wrocław, Poland.

出版信息

Environ Toxicol Pharmacol. 2006 Jul;22(1):52-7. doi: 10.1016/j.etap.2005.11.006. Epub 2006 Feb 7.

Abstract

Hair samples (N=83) were collected between the years 1996 and 2003 from inhabitants of Wrocław, a city located in Lower Silesia, south-western Poland (urbanized and industrialized region). The concentrations of 33 elements: Ca, Mg, Na, K, Cu, Zn, P, Fe, Mn, Cr, Se, B, Co, Mo, Si, V, Ni, Be, Hg, Cd, Al, Pb, As, Ba, Au, Pt, Ag, Sr, Sn, Ti, W, Sb and Zr in hair were determined by inductively coupled plasma-mass spectrometry (ICP-MS) and inductively coupled plasma-atomic emission spectrometry (ICP-AES) techniques. The effect of age, sex, smoking habits and hair color on the elemental composition of hair was investigated. Also, the obtained results were compared with literature data. It was found that the composition of hair varied with age, sex, hair color and smoking habits. This concerned the majority of elements except Ti, Se, Mn, Ni, Hg, Cd, As, Co (in the case of effect of age), Al, Cd, Co (sex), Cd, K, Ag, Ca, Co, Be (smoking habit), P, Fe, Al, Mn and Cr (hair color). Therefore, reference values for the level of the remaining elements should be normalized according to age, sex, smoking habit and hair color. This would make hair analysis more reliable.

摘要

头发样本(N=83)于 1996 年至 2003 年间采集自弗罗茨瓦夫(波兰西南部下西里西亚省的一个城市)的居民,该市是一个城市化和工业化地区。通过电感耦合等离子体质谱法(ICP-MS)和电感耦合等离子体原子发射光谱法(ICP-AES)技术,测定了头发中 33 种元素:Ca、Mg、Na、K、Cu、Zn、P、Fe、Mn、Cr、Se、B、Co、Mo、Si、V、Ni、Be、Hg、Cd、Al、Pb、As、Ba、Au、Pt、Ag、Sr、Sn、Ti、W、Sb 和 Zr 的浓度。研究了年龄、性别、吸烟习惯和头发颜色对头发元素组成的影响。此外,还将获得的结果与文献数据进行了比较。结果发现,头发的组成随年龄、性别、头发颜色和吸烟习惯而变化。除了 Ti、Se、Mn、Ni、Hg、Cd、As、Co(与年龄有关)、Al、Cd、Co(性别)、Cd、K、Ag、Ca、Co、Be(吸烟习惯)、P、Fe、Al、Mn 和 Cr(头发颜色)外,大部分元素都受到了影响。因此,其余元素的水平参考值应根据年龄、性别、吸烟习惯和头发颜色进行归一化。这将使头发分析更加可靠。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验