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采用漫反射红外傅里叶变换光谱法(DRIFTS)测定纽扣样品中的空气中木尘。

Determination of airborne wood dust in Button samples by diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS).

作者信息

Kwon Cheol-Woong, Chirila Madalina M, Lee Taekhee, Harper Martin, Rando Roy J

机构信息

Department of Global Environmental Health Sciences, Tulane University, New Orleans, LA 70112, USA.

Exposure Assessment Branch, National Institute for Occupational Safety and Health, Morgantown, WV 26505, USA.

出版信息

Int J Environ Anal Chem. 2013;93(13):1356-66. doi: 10.1080/03067319.2012.755619. Epub 2013 Jan 10.

Abstract

Emerging concerns regarding the toxicity of inhaled wood dust support the need for techniques to quantitate wood content of mixed industrial dusts. The diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) analysis technique was applied to the determination of wood content of 181 inhalable dust samples (geometric mean concentration: 0.895 mg/m(3); geometric standard deviation: 2.73) collected from six wood product industry factories using 25mm glass fibre filters with the Button aerosol sampler. Prior to direct DRIFTS analysis the filter samples were treated with ethyl acetate and re-deposited uniformly. Standards ranging from 125 μg to 4000 μg were prepared for red oak, southern yellow pine, and red cedar and used for quantitation of samples depending upon the wood materials present at a given factory. The oak standards spectra were quantitated by linear regression of response in Kubelka-Munk units at 1736 cm(-1), whereas the pine standards and the cedar standards spectra were quantitated by polynomial regression of response in log 1/R units at 1734 cm(-1), with the selected wavenumbers corresponding to stretching vibration of free C=O from cellulose and hemicelluloses. For one factory which used both soft- and hardwoods, a separate polynomial standard curve was created by proportionally combining the oak and pine standards polynomial regression equations based on response (log 1/R) at 1734 cm(-1). The analytical limits of detection were approximately 52 μg of oak, 20 μg of pine, 30 μg of cedar, and 16 μg of mixed oak and pine for the factory with mixed woods. Overall, the average of dry wood dust percentage of inhalable dust was approximately 56% and the average dry wood dust weight was 0.572mg for the Button samples. Across factories, there were statistically significant differences (p<0.001) for the percentage of dry wood dust in inhalable dust with factory averages ranging from 33.5 to 97.6%.

摘要

对吸入性木屑毒性的新担忧表明,需要采用技术来定量混合工业粉尘中的木材含量。采用漫反射红外傅里叶变换光谱(DRIFTS)分析技术,对使用纽扣式气溶胶采样器,通过25mm玻璃纤维滤膜从六家木制品行业工厂采集的181个可吸入粉尘样本(几何平均浓度:0.895mg/m³;几何标准差:2.73)中的木材含量进行测定。在进行直接DRIFTS分析之前,将滤膜样本用乙酸乙酯处理并重新均匀沉积。针对红橡木、南方黄松和红雪松制备了浓度范围为125μg至4000μg的标准品,并根据特定工厂中存在的木材材料用于样本定量。橡木标准光谱通过在1736cm⁻¹处Kubelka-Munk单位响应的线性回归进行定量,而松木标准光谱和雪松标准光谱则通过在1734cm⁻¹处log 1/R单位响应的多项式回归进行定量,所选波数对应于纤维素和半纤维素中游离C=O的伸缩振动。对于一家同时使用软木和硬木的工厂,基于1734cm⁻¹处的响应(log 1/R),通过按比例组合橡木和松木标准多项式回归方程,创建了一条单独的多项式标准曲线。对于有混合木材的工厂,分析检测限分别约为52μg橡木、20μg松木、30μg雪松以及16μg混合橡木和松木。总体而言,纽扣式样本中可吸入粉尘的干木屑百分比平均值约为56%,干木屑平均重量为0.572mg。在各工厂之间,可吸入粉尘中干木屑的百分比存在统计学显著差异(p<0.001),工厂平均值范围为33.5%至97.6%。

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