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首页> 外文期刊>Journal of Pharmacy and Pharmacology >A near-infrared method for the assay of cineole in eucalyptus oil as an alternative to the official BP method.
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A near-infrared method for the assay of cineole in eucalyptus oil as an alternative to the official BP method.

机译:一种用于测定桉树油中桉树脑中邻苯二酚的近红外方法,可替代官方BP方法。

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摘要

Thirty different eucalyptus oil samples were scanned on the FOSS NIRSystems 6500 Rapid Content Sampler using a reflectance vessel as sample presentation method. The cineole content of each sample was determined by the BP method and these reference data were used to construct two calibration equations for cineole content in the oils using Vision software. The mean accuracy for the NIR method differed by 1.01% or less, and the mean bias by +/-0.33% or less, compared with the BP method. Calculation of the 95% confidence intervals for the slope and intercept of plots of NIR predicted values against BP method reference values showed that there was no evidence of fixed or relative systematic errors. Tests for short-term and intermediate repeatability were conducted. The standard deviation was 0.83% w/w or less and the coefficient of variation was 1.11% or less. The confidence intervals for both short-term and intermediate repeatability overlapped with that for the BP method, suggesting that there was no evidence for a difference in values obtained by the BP and NIR methods. The range of cineole contents used in the calibrations was extended by incorporating five samples of eucalyptus oil spiked with cineole, and five samples of two essential oils known to have a lower cineole content than eucalyptus oil, to give a range of 52.5 to 99.0% w/w. The mean accuracy decreased to an error of 1.26% or less and the bias to +/-0.50% or less. Again, confidence intervals suggested there was no evidence for fixed or systematic errors in the NIR calibrations. We propose that NIR spectroscopy could be used as an alternative method for the determination of cineole content in eucalyptus oils.
机译:使用反射容器作为样品呈现方法,在FOSS NIRSystems 6500快速内容采样器上扫描了30种不同的桉树油样品。通过BP方法确定每个样品的桉树脑含量,并使用Vision软件将这些参考数据用于构建两个校准方程式,以测定油中的桉树脑含量。与BP方法相比,NIR方法的平均准确度相差1.01%或更小,平均偏差相差+/- 0.33%或更小。计算NIR预测值与BP方法参考值的关系曲线的斜率和截距的95%置信区间表明,没有固定或相对系统误差的证据。进行了短期和中间重复性测试。标准偏差为0.83%w / w或更小,变异系数为1.11%或更小。短期和中间重复性的置信区间与BP方法的置信区间重叠,这表明没有证据表明BP和NIR方法获得的值存在差异。通过合并五个加有桉树脑的桉树油样品和五个已知桉树油含量比桉树油低的两种精油样品,扩大了校准中使用的桉树脑含量范围,从而得出52.5至99.0%w的范围。 / w。平均准确度降低到误差为1.26%或更小,偏差降低到+/- 0.50%或更小。同样,置信区间表明,在NIR校准中没有固定或系统误差的证据。我们建议近红外光谱可以用作测定桉树油中桉树脑含量的一种替代方法。

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