Lignocellulose presents a promising alternative to fossil fuels. Monitoring the mass and size changes of lignocellulosic particles without disrupting the process can assist in adjusting pretreatment and enzymatic hydrolysis, where conventional sieving methods fall short. A method utilizing focused beam reflectance measurement (FBRM) was developed to establish mathematical correlations between FBRM chord information (chord length and count) and particle characteristics (weight and size) quantified through sieving. Results indicate particle size exhibits a linear correlation with the square weighted median chord length (L) with R at 0.93. Further, real-time bulk particle mass can be predicted using L and chord count (R 0.98). These correlations are applicable in range 53 μm to 358.5 μm. Real-time monitoring of enzymatic hydrolysis of corn stalks has demonstrated the practical applicability of FBRM. This study introduces a novel approach for online characterization of lignocellulosic particles, thereby enhancing lignocellulosic biorefineries.

中文翻译：

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通过聚焦光束反射率测量在线监测木质纤维素颗粒，以实现高效的生物加工


木质纤维素是化石燃料的一种有前景的替代品。在不中断加工过程的情况下监测木质纤维素颗粒的质量和尺寸变化有助于调整预处理和酶水解，而传统的筛分方法在这方面存在不足。开发了一种利用聚焦光束反射测量 (FBRM) 的方法，以建立 FBRM 弦信息（弦长度和计数）与通过筛分量化的颗粒特征（重量和尺寸）之间的数学相关性。结果表明，颗粒尺寸与平方加权中值弦长 (L) 呈线性相关，R 为 0.93。此外，可以使用 L 和弦计数来预测实时散装颗粒质量 (R 0.98)。这些相关性适用于 53 μm 至 358.5 μm 的范围。玉米秸秆酶解的实时监测证明了 FBRM 的实际适用性。这项研究引入了一种在线表征木质纤维素颗粒的新方法，从而增强木质纤维素生物精炼厂。