首页> 外文会议>IEEE International Conference on Smart Cloud >Concentration Determination of Pollutants in Water Using Ultraviolet Spectrophotometry and Partial Least Squares Method
【24h】

Concentration Determination of Pollutants in Water Using Ultraviolet Spectrophotometry and Partial Least Squares Method

机译:紫外分光光度法和局部最小二乘法测定水中污染物的浓度测定

获取原文

摘要

During the production of Phenylethylamine (PEA), NaOH is usually used as a reactant, and NaCl is produced. In the final product. Finally, the mixture including these three components is discharged into water and bring serious pollution to the water quality. So it is of great practical significance to realize the real-time and on-line monitoring of concentration of the mixture so that we can take preventive measures and prevent the loss from the pollution and protect the safety of surface water resources. However, conventional analytical methods are complicated and time-consuming. The UV-Visible spectroscopy has remarkable superiority over traditional technologies. Not only can it directly or indirectly measure most of the metal ions, organic pollutants, Chemical Oxygen Demand(COD) and other parameters in water, but it also has the advantages of simple structure, small volume, low cost, no secondary pollution, and easy operation, etc. Herein, in this work, we proposed a new quantitative method, which combined ultraviolet (UV) spectrophotometry with partial least squares (PLS) regression (PLS-1 and PLS-2), to quickly determine the content of NaCl, NaOH, and PEA simultaneously from mixed water samples. First of all, the linear concentrations which ranged from 6.03×10-6 mol/L to 2.04×10-3 mol/L for NaCl, from 1.94×10-5 mol/L to 1.32×10-3 mol/L for NaOH and from 4.03×10-8 mol/L to 5.15×10-5 mol/L for PEA solutions were prepared respectively, then the calibration models were constructed by using 49 reference mixed samples in the calibration set and optimized by full cross-validation. In addition, the predictive performance of the optimized models was validated by 21 mixed samples in an independent test set. The root mean square error of prediction (RMSEP) values were lower than 4.60×10-6 for NaCl, 5.0×10-6 for NaOH, and 9×10-8 for PEA in both PLS models. Finally, the optimized PLS-1 and PLS-2 models were successfully applied to simultaneously determine five ternary mixtures of NaCl, NaOH and PEA added into the natural water samples. The average recovery was close to 100% for each of the three components. Thus, UV spectrophotometry combined with PLS regression method can be considered as a promising strategy to conduct the concentration measurements of NaCl, NaOH and PEA in water.
机译:在苯乙胺(豌豆)的生产过程中,通常用作反应物,产生NaOH。在最终产品中。最后,将包含这三种组分的混合物排入水中并对水质带来严重的污染。因此,实现了对混合物浓度的实时和在线监测是具有巨大的现实意义,以便我们可以采取预防措施并防止污染损失,保护地表水资源的安全性。然而,传统的分析方法是复杂且耗时的。 UV可见光谱对传统技术具有显着的优势。它不仅可以直接或间接地测量大部分金属离子,有机污染物,化学需氧量(COD)和其他参数在水中,而且结构简单,体积小,成本低,缺乏二次污染,以及易于操作等。在此,在这项工作中,我们提出了一种新的定量方法,其组合紫外(UV)分光光度法与局部最小二乘(PLS)回归(PLS-1和PLS-2),以快速确定NaCl的含量,NaOH和豌豆同时来自混合水样。首先,从6.03×10范围内的线性浓度 -6 mol / l至2.04×10 -3 MOL / L对于NACL,1.94×10 -5 mol / l至1.32×10 -3 MOL / L对于NaOH和4.03×10 -8 mol / l到5.15×10 -5 分别制备MOL / L豌豆溶液,然后通过使用49参考混合样品在校准组中使用49个参考混合样品来构建,并通过全交叉验证优化。此外,在独立的测试集中通过21个混合样品验证了优化模型的预测性能。预测(RMSEP)值的根均方误差低于4.60×10 -6 对于NaCl,5.0×10 -6 对于naoh和9×10 -8 对于两个PLS模型中的豌豆。最后,成功地应用了优化的PLS-1和PLS-2模型以同时确定加入到天然水样中的NaCl,NaOH和豌豆的五个三元混合物。对于三种组分中的每一个,平均恢复接近100%。因此,紫外分光光度法与PLS回归方法组合可以被认为是在水中进行NaCl,NaOH和豌豆的浓度测量的有希望的策略。

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