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In-Line Monitoring of Hydrogen Peroxide in Two-Phase Reactions Using Raman Spectroscopy

机译:使用拉曼光谱法在两相反应中的过氧化氢在线监测

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摘要

Hydrogen peroxide is an environment-friendly oxidizer, which is used in several chemical processes. However, safety necessitates the determination and control of the concentration of hydrogen peroxide during oxidation reactions. We propose a methodology to monitor hydrogen peroxide in disperse two-phase reaction mixtures based on in-line Raman spectroscopy. We compare indirect hard modeling (IHM), peak integration (PI), and partial least squares (PLS). Building predictive PLS and PI calibration models is challenging, whereas the IHM calibration is easy to develop. These methods show good accuracy for known samples (root mean square error of cross validation [RMSECV] of 0.3-0.7 wt %) compared to the classic titration method (RMSECV of 0.4 wt %). After calibration, inline monitoring during reaction is performed demonstrating that the concentration of hydrogen peroxide can be successfully monitored in a fast and reliable way by Raman spectroscopy. The IHM seems to give slightly better inline predictions. (C) 2017 American Institute of Chemical Engineers
机译:过氧化氢是一种环保型氧化剂,其用于几种化学过程。然而,安全需要在氧化反应期间测定和控制过氧化氢的浓度。我们提出了一种基于在线拉曼光谱的分散两相反应混合物中监测过氧化氢的方法。我们比较间接硬建模(IHM),峰集成(PI)和偏最小二乘(PL)。构建预测性PLS和PI校准模型具有挑战性,而IHM校准易于开发。与经典滴定法(RMSECV为0.4wt%)相比,这些方法对已知样品(交叉验证[RMSECV]的均方根误差为0.3-0.7wt%)的良好精度。校准后,进行反应期间的内联监测证明可以通过拉曼光谱以快速可靠的方式成功监测过氧化氢的浓度。 IHM似乎给出了稍微更好的内联预测。 (c)2017美国化学工程师研究所

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