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Determination of moisture content in nylon 6,6 by near-infrared spectroscopy and chemometrics

机译:用近红外光谱和化学计量学测定尼龙6,6中的水分

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The effects of moisture on the morphology and mechanical properties of polyamides have been extensively studied by a number of researchers. However, the assessment of water content in the resins has been carried out by thermal or thermogravimetric methods, which are destructive. In the present work partial least-squares (PLS) calibration models based on near-infrared (NIR) spectroscopy were produced in order to predict the moisture content of nylon 6,6. Differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), and the loss-on-drying (LOD) method were used as reference methods. TGA, LOD, DSC, and NIR analysis were performed in parallel, and the obtained data were used for multivariate calibration purposes. Data pretreatment techniques such as derivation and multiplicative scattering correction (MSC) successfully eliminated the baseline offset present in the raw spectra and compensated for differences in thickness and light scattering of the analyzed samples. Calibration models were validated by full cross validation with the help of a test set. A comparison of the prediction ability of PLS models based on pretreated data was also done. NIR spectroscopy is a rapid and nondestructive method for the determination of moisture in recycled nylon. The moisture content can be predicted with a RMSEP = 0.05 wt %. (C) 2003 Wiley Periodicals, Inc. [References: 15]
机译:水分对聚酰胺形态和机械性能的影响已被许多研究人员广泛研究。然而,已经通过破坏性的热重法或热重法对树脂中的水含量进行了评估。在本工作中,基于近红外(NIR)光谱的偏最小二乘(PLS)校准模型被生产出来,以预测尼龙6,6的水分含量。差示扫描量热法(DSC),热重分析(TGA)和干燥失重(LOD)方法用作参考方法。并行进行TGA,LOD,DSC和NIR分析,并将获得的数据用于多变量校准。数据预处理技术(例如推导和乘法散射校正(MSC))成功消除了原始光谱中存在的基线偏移,并补偿了所分析样品的厚度差异和光散射。借助测试集,通过完全交叉验证来验证校准模型。还对基于预处理数据的PLS模型的预测能力进行了比较。近红外光谱法是一种快速,无损的方法,用于测定回收尼龙中的水分。可以通过RMSEP = 0.05 wt%预测水分含量。 (C)2003 Wiley Periodicals,Inc. [参考:15]

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