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生物基质中多氯联苯痕量测定方法的开发与验证

Development and validation of methods for the trace determination of PCBs in biological matrices.

作者信息

Thomas G O, Sweetman A J, Parker C A, Kreibich H, Jones K C

机构信息

Environmental Science Department, Lancaster University, UK.

出版信息

Chemosphere. 1998 May;36(11):2447-59. doi: 10.1016/s0045-6535(97)10211-9.

Abstract

A method was developed to determine trace concentrations of a range of individual PCB congeners in biological samples (grass, silage, cattle faeces and milk-fat) which were taken from rural or 'background' areas of the UK, in order to prepare a mass balance of PCBs in grazing, lactating cows. A simple milk-fat extraction method was compared to Soxhlet extraction and to whole milk extraction. Results indicated that simply boiling milk-fat in hexane with sodium sulphate present gave a comparable extraction of PCBs to other methods. A clean-up method was devised using acid treated silica gel followed by basic alumina chromatography. Grinding frozen grass or silage with sodium sulphate followed by Soxhlet extraction was found to be the most effective method for these matrices, whilst avoiding the potential contamination/loss of PCBs which can be incurred by air, oven or freeze drying. Soxhlet extraction of cattle faeces, after grinding with sodium sulphate, was found to be effective. A rigorous clean-up was devised which involved passing the extracts through silica gel and acid treated silica gel, followed by size exclusion chromatography (gel permeation chromatography, SEC). 13C12 labelled PCBs were used as recovery standards, quantification was performed using GC-MS. A quality control regime and method validation results are presented. The milk analysis method gave within batch mean recoveries of 69-96%, and within batch standard deviations between 1 and 10%. The vegetation analysis method gave within batch mean recoveries of 91-116%, and within batch standard deviations between 1 and 11%. The batch to batch mean recovery for milk analysis was 90%, with an RSD of 2% for high spikes and 5% for low spikes; for vegetation analysis the batch to batch average recovery was 106%, with an RSD of 14% for high spikes and 11% for low spikes. sigma PCB concentrations (53 congeners) of 3900 +/- 790 pg g-1 milk-fat, 1300 +/- 420 pg g-1 dry matter (DM) cattle faeces, 630 +/- 140 pg g-1 DM silage and 1350 +/- 580 pg g-1 DM grass were found during the study.

摘要

开发了一种方法,用于测定取自英国农村或“背景”地区的生物样品(草、青贮饲料、牛粪和乳脂)中一系列单个多氯联苯同系物的痕量浓度,以便建立放牧泌乳奶牛体内多氯联苯的质量平衡。将一种简单的乳脂提取方法与索氏提取法和全乳提取法进行了比较。结果表明,在己烷中加入硫酸钠简单煮沸乳脂,其多氯联苯提取效果与其他方法相当。设计了一种净化方法,先用酸处理硅胶,再进行碱性氧化铝柱色谱分离。发现用硫酸钠研磨冷冻的草或青贮饲料,然后进行索氏提取,是处理这些基质最有效的方法,同时避免了空气、烘箱或冷冻干燥可能导致的多氯联苯污染/损失。用硫酸钠研磨牛粪后进行索氏提取,效果良好。设计了一种严格的净化方法,包括使提取物通过硅胶和酸处理硅胶,然后进行尺寸排阻色谱(凝胶渗透色谱,SEC)。使用(^{13}C_{12})标记的多氯联苯作为回收率标准,采用气相色谱 - 质谱联用仪进行定量分析。给出了质量控制方案和方法验证结果。乳脂分析方法的批内平均回收率为69 - 96%,批内标准偏差在1%至10%之间。植被分析方法的批内平均回收率为91 - 116%,批内标准偏差在1%至11%之间。乳脂分析的批间平均回收率为90%,高加标回收率相对标准偏差为2%,低加标回收率相对标准偏差为5%;植被分析的批间平均回收率为106%,高加标回收率相对标准偏差为14%,低加标回收率相对标准偏差为11%。在研究过程中,发现乳脂中(\sum)多氯联苯(53种同系物)浓度为3900 ± 790 pg/g,牛粪干物质中为1300 ± 420 pg/g,青贮饲料干物质中为630 ± 140 pg/g,草干物质中为1350 ± 580 pg/g。

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