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用于监测人体样本中有机污染物的牛奶和血清标准参考物质。

Milk and serum standard reference materials for monitoring organic contaminants in human samples.

机构信息

Analytical Chemistry Division, National Institute of Standards and Technology (NIST), Gaithersburg, MD 20899, USA.

出版信息

Anal Bioanal Chem. 2013 Feb;405(4):1203-11. doi: 10.1007/s00216-012-6524-3. Epub 2012 Nov 7.

Abstract

Four new Standard Reference Materials (SRMs) have been developed to assist in the quality assurance of chemical contaminant measurements required for human biomonitoring studies, SRM 1953 Organic Contaminants in Non-Fortified Human Milk, SRM 1954 Organic Contaminants in Fortified Human Milk, SRM 1957 Organic Contaminants in Non-Fortified Human Serum, and SRM 1958 Organic Contaminants in Fortified Human Serum. These materials were developed as part of a collaboration between the National Institute of Standards and Technology (NIST) and the Centers for Disease Control and Prevention (CDC) with both agencies contributing data used in the certification of mass fraction values for a wide range of organic contaminants including polychlorinated biphenyl (PCB) congeners, chlorinated pesticides, polybrominated diphenyl ether (PBDE) congeners, and polychlorinated dibenzo-p-dioxin (PCDD) and dibenzofuran (PCDF) congeners. The certified mass fractions of the organic contaminants in unfortified samples, SRM 1953 and SRM 1957, ranged from 12 ng/kg to 2200 ng/kg with the exception of 4,4'-DDE in SRM 1953 at 7400 ng/kg with expanded uncertainties generally <14 %. This agreement suggests that there were no significant biases existing among the multiple methods used for analysis.

摘要

四种新的标准参考物质(SRM)已经开发出来,以协助质量保证化学污染物的测量,这是人类生物监测研究所必需的,SRM 1953 未强化人乳中的有机污染物、SRM 1954 强化人乳中的有机污染物、SRM 1957 未强化人血清中的有机污染物和 SRM 1958 强化人血清中的有机污染物。这些材料是国家标准与技术研究院(NIST)和疾病控制与预防中心(CDC)之间合作的一部分,两个机构都为多种有机污染物的质量分数认证提供了数据,包括多氯联苯(PCB)同系物、氯代杀虫剂、多溴联苯醚(PBDE)同系物以及多氯二苯并对二恶英(PCDD)和二苯并呋喃(PCDF)同系物。未强化样品中有机污染物的认证质量分数,SRM 1953 和 SRM 1957,范围从 12ng/kg 到 2200ng/kg,除了 SRM 1953 中的 4,4'-DDE 为 7400ng/kg,扩展不确定度一般<14%。这一协议表明,在用于分析的多种方法之间不存在显著的偏差。

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