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提出一种研究-(A-B)_n-型嵌段共聚物组成分布的新方法。本方法不需任何单分散样品或模型化合物作为标准物质,不需另外进行仪器常数标定,只要求测试过程中仪器常数保持不变。要求样品必须是系列样品,每个样品的平均组成已知或可用其它方法得到,样品个数n≥2,且样品越多越好;对检测器的要求是,两种检测器对不同的嵌段其响应不成比例,响应比差别越大越好。对分离手段的分离机理无要求,只要求样品的分散程度足够大即可。本文还提供了用薄层色谱法研究聚己内酯型聚氨酯多嵌段共聚物的组成分布的实例。
A new method to study the composition distribution of (A-B) _n-type block copolymer was proposed. The method does not require any monodisperse sample or model compound as a standard substance, and does not require additional instrument calibration. It only requires that the instrument constants remain unchanged during the test. The sample must be a series of samples, the average composition of each sample is known or may be obtained by other methods, the number of samples n ≧ 2, and the sample as possible; the detector requirements are two detectors for different embedded Segment of its disproportionate response, the greater the difference between the response better. There is no requirement for the separation mechanism of the separation means, only the degree of dispersion of the sample can be large enough. Also provided herein is an example of the compositional distribution of polycaprolactone-type polyurethane multi-block copolymers studied by thin-layer chromatography.