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Calibration of a Commercial Solid-Phase Microextraction Device for Measuring Headspace Concentrations of Organic Volatiles

机译:用于测量有机挥发物顶空浓度的商用固相微萃取设备的标定

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Solid-phase microextraction (SPME) is a versatile new technique for collecting headspace volatiles prior to GC analysis. The commercial availability of uniform SPME fibers makes routine, practiced quantitation of headspace concentrations possible, but straightforward information for relating GC peak areas from SPME analyses to headspace concentrations has not been available. The calibration factors (amount absorbed by the fiber divided by headspace concentration) were determined for 71 compounds using SPME fibers with a 100 μm poly(dimethylsiloxane) coating. The compounds ranged from 1 to 16 carbons in size and included a variety of functional groups. Calibration factors varied widely, being 7000 times higher for tetradecane than for acetaldehyde. Most compounds with a Kovats retention index of < 1300 on a nonpolar GC column (DB-1) equilibrated with the fiber in 30 rain or less. A regression model is presented for predicting the calibration factor from, GC retention index, temperature, and analyte functional class. The calibration factor increased with retention index but decreased with increasing sampling temperature. For a given retention index, polar compounds such as amines and alcohols were absorbed by the fibers in greater amounts than were hydrocarbons. Henry's law constants determined using SPME were in general agreement with literature values, which supported the accuracy of the measured calibration factors. An unexpected concentration dependence of calibration factors was noted, especially for nitrogencontaining and hydroxy compounds; calibration factors were relatively higher (the SPME fiber was more sensitive) at the lower analyte concentrations.
机译:固相微萃取(SPME)是一种通用的新技术,用于在GC分析之前收集顶空挥发物。均一的SPME纤维的市售性使得常规的,实践中的顶空浓度定量成为可能,但是尚无直接信息将SPME分析中的GC峰面积与顶空浓度相关联。使用带有100μm聚(二甲基硅氧烷)涂层的SPME纤维,确定了71种化合物的校准因子(纤维吸收的量除以顶空浓度)。这些化合物的大小为1至16个碳原子,并包括各种官能团。校准因子变化很大,十四烷比乙醛高7000倍。在非极性GC色谱柱(DB-1)上,大多数Kovats保留指数<1300的化合物与纤维在30天或更短的降雨时间内达到平衡。提出了一种回归模型,用于根据GC保留指数,温度和分析物功能类别来预测校正因子。校正因子随保留指数的增加而增加,但随采样温度的升高而减小。对于给定的保留指数,极性化合物(例如胺和醇)的吸收量要大于碳氢化合物。使用SPME确定的亨利定律常数与文献值基本相符,这支持了所测校准因子的准确性。注意到校准因子存在意想不到的浓度依赖性,尤其是对于含氮和羟基化合物而言。在较低的分析物浓度下,校准因子相对较高(SPME纤维更敏感)。

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