...
首页> 外文期刊>Journal of near infrared spectroscopy >Near infrared absorption spectroscopy for the quantification of unsulfated alcohol in sodium lauryl ether sulfate
【24h】

Near infrared absorption spectroscopy for the quantification of unsulfated alcohol in sodium lauryl ether sulfate

机译:近红外吸收光谱法在月硫酸钠硫酸钠中定量未硫化醇

获取原文
获取原文并翻译 | 示例
           

摘要

Compositional variations in the surfactants used to produce personal care products result in significant challenges during large scale manufacturing, for example errors in product viscosity. Characterisation of the surfactant can be completed using chromatographic techniques however these are time consuming and impractical during real-time manufacturing. Near infrared (NIR) absorption spectroscopy with a fibre-optic coupled transmission probe is proposed as an in-line method of determining the levels of unsulfated alcohol in sodium lauryl ether sulfate (SLES). NIR absorption spectra in the region of 4000 - 12000 cm(-1)were collected for a range of supplier samples at three temperatures. Gas chromatography - mass spectrometry was used as a reference technique to quantify samples of SLES and quantitative chemometric data analysis was used to produce partial least squares (PLS) calibration models for the prediction of surfactant composition. PLS regression was performed on the data in the spectral regions between 7509 - 5334 cm(-1)using a range of data pre-processing techniques to identify the best model. Models were evaluated using root mean square error of cross validation (RMSECV) and residual predictive deviation (RPD) as the primary indicator of model accuracy and robustness. A partial least squares regression model using a generalised least squares weighting data pre-processing approach was found to be the most robust in regards to sample non-homogeneity and temperature, producing a model with an RMSECV = 0.094 w/w% and RPD = 4.03. The model successfully predicted the unsulfated alcohol mass percentage in an external validation of unknown samples with alcohol levels within the model limits of 0.7-2.2 w/w%. Spectra acquired at a resolution of 8 cm(-1)with 32 scans take just 16 seconds to obtain, proving that NIR spectroscopy can successfully be applied as an alternative analytical method to gas chromatography for the determination of low level impurities in viscous surfactant systems.
机译:在大规模生产过程中,用于生产个人护理产品的表面活性剂的成分变化会带来重大挑战,例如产品粘度误差。表面活性剂的表征可以使用色谱技术来完成,但在实时制造过程中,这些技术非常耗时且不切实际。提出了一种利用光纤耦合传输探针的近红外(NIR)吸收光谱在线测定十二烷基醚硫酸钠(SLES)中未硫酸化醇含量的方法。在三种温度下,采集了供应商样品在4000-12000 cm(-1)范围内的近红外吸收光谱。使用气相色谱-质谱法作为参考技术,对SLES样本进行量化,并使用定量化学计量学数据分析产生偏最小二乘(PLS)校准模型,用于预测表面活性剂的组成。使用一系列数据预处理技术对7509-5334 cm(-1)之间光谱区域的数据进行PLS回归,以确定最佳模型。使用交叉验证均方根误差(RMSECV)和残差预测偏差(RPD)作为模型准确性和稳健性的主要指标,对模型进行评估。研究发现,使用广义最小二乘加权数据预处理方法的偏最小二乘回归模型在样本不均匀性和温度方面最稳健,生成的模型的RMSECV=0.094 w/w%,RPD=4.03。该模型在未知样品的外部验证中成功预测了未硫化酒精的质量百分比,酒精含量在模型限值0.7-2.2 w/w%范围内。通过32次扫描以8 cm(-1)的分辨率获得的光谱仅需16秒,证明NIR光谱可以成功地作为气相色谱法的替代分析方法,用于测定粘性表面活性剂系统中的低水平杂质。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号