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通过近红外光谱法测定丁二烯、丁苯橡胶和异戊二烯橡胶微观结构及组成的快速稳健方法。

Fast and robust method for the determination of microstructure and composition in butadiene, styrene-butadiene, and isoprene rubber by near-infrared spectroscopy.

作者信息

Vilmin Franck, Dussap Claude, Coste Nathalie

机构信息

Research and Development Centre, Materials Department, Analytical Chemistry Division, Manufacture Française des Pneumatiques Michelin, place des Carmes, 63040 Clermont Ferrand Cedex 9, France.

出版信息

Appl Spectrosc. 2006 Jun;60(6):619-30. doi: 10.1366/000370206777670675.

Abstract

In the tire industry, synthetic styrene-butadiene rubber (SBR), butadiene rubber (BR), and isoprene rubber (IR) elastomers are essential for conferring to the product its properties of grip and rolling resistance. Their physical properties depend on their chemical composition, i. e., their microstructure and styrene content, which must be accurately controlled. This paper describes a fast, robust, and highly reproducible near-infrared analytical method for the quantitative determination of the microstructure and styrene content. The quantitative models are calculated with the help of pure spectral profiles estimated from a partial least squares (PLS) regression, using (13)C nuclear magnetic resonance (NMR) as the reference method. This versatile approach allows the models to be applied over a large range of compositions, from a single BR to an SBR-IR blend. The resulting quantitative predictions are independent of the sample path length. As a consequence, the sample preparation is solvent free and simplified with a very fast (five minutes) hot filming step of a bulk polymer piece. No precise thickness control is required. Thus, the operator effect becomes negligible and the method is easily transferable. The root mean square error of prediction, depending on the rubber composition, is between 0.7% and 1.3%. The reproducibility standard error is less than 0.2% in every case.

摘要

在轮胎行业,合成丁苯橡胶(SBR)、丁二烯橡胶(BR)和异戊二烯橡胶(IR)弹性体对于赋予产品抓地力和滚动阻力特性至关重要。它们的物理性能取决于其化学组成,即微观结构和苯乙烯含量,必须对其进行精确控制。本文描述了一种快速、稳健且高度可重复的近红外分析方法,用于定量测定微观结构和苯乙烯含量。定量模型借助从偏最小二乘(PLS)回归估计的纯光谱轮廓计算得出,使用(13)C核磁共振(NMR)作为参考方法。这种通用方法允许模型应用于从单一BR到SBR-IR共混物的大范围组成。所得的定量预测与样品路径长度无关。因此,样品制备无需溶剂,并且通过对块状聚合物片进行非常快速(五分钟)的热成膜步骤得以简化。无需精确控制厚度。这样,操作人员的影响可忽略不计,并且该方法易于转移。根据橡胶组成,预测的均方根误差在0.7%至1.3%之间。在每种情况下,重现性标准误差均小于0.2%。

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