Residual shives have a major impact on the quality and performance of flax textile and composite preforms. Quantifying the content of shives in batches of scutched flax fibres is a time-consuming and operator-dependent process. Although the shive content can be estimated from the chemical composition, our aim here is to explore a series of effective, reliable and complementary approaches to quantifying shives. Various methods are presented: microscopic observations, analytical biochemistry (monosaccharides, lignins), indirect methods (infrared spectroscopy) and dynamic morphological analysis (QICPIC). A reference standard was first analysed and then compared with batches of flax tow fibre of unknown shive content from current industrial production. This approach shows that calibration curves can be established by applying each selected method to batches with known fibre and shive content. In addition, a database was generated to determine the shive content of industrial batches using partial least squares (PLS) regression. Finally, a detailed study of shives in industrial batches is presented, comparing the different analytical methods.

中文翻译：

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量化工业批次亚麻纤维中污染物碎片的多标准方法


残余碎片对亚麻纺织品和复合材料预成型件的质量和性能有重大影响。量化成批打散的亚麻纤维中的碎片含量是一个耗时且依赖于操作员的过程。虽然可以根据化学成分估算纤维含量，但我们的目标是探索一系列有效、可靠和互补的方法来量化纤维。介绍了各种方法：显微镜观察、分析生物化学（单糖、木质素）、间接方法（红外光谱）和动态形态分析（QICPIC）。首先分析参考标准，然后与当前工业生产中未知纤维含量的亚麻丝束纤维批次进行比较。该方法表明，可以通过将每种选定的方法应用于已知纤维和碎片含量的批次来建立校准曲线。此外，还生成了一个数据库，利用偏最小二乘 (PLS) 回归来确定工业批次的碎屑含量。最后，对工业批次的纤维束进行了详细研究，比较了不同的分析方法。