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Predicting the most appropriate wood biomass for selected industrial applications: comparison of wood pulping and enzymatic treatments using fluorescent-tagged carbohydrate-binding modules

机译:为特定的工业应用预测最合适的木材生物量:使用荧光标记的碳水化合物结合模块比较木材制浆和酶处理

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摘要

BackgroundLignocellulosic biomass will progressively become the main source of carbon for a number of products as the Earth’s oil reservoirs disappear. Technology for conversion of wood fiber into bioproducts (wood biorefining) continues to flourish, and access to reliable methods for monitoring modification of such fibers is becoming an important issue. Recently, we developed a simple, rapid approach for detecting four different types of polymer on the surface of wood fibers. Named fluorescent-tagged carbohydrate-binding module (FTCM), this method is based on the fluorescence signal from carbohydrate-binding modules-based probes designed to recognize specific polymers such as crystalline cellulose, amorphous cellulose, xylan, and mannan.
机译:背景技术随着地球的油藏消失,木质纤维素生物质将逐渐成为许多产品的主要碳源。用于将木纤维转化为生物产品(木生物精制)的技术继续蓬勃发展,获得可靠的方法来监测此类纤维的改性正成为一个重要问题。最近,我们开发了一种简单,快速的方法来检测木纤维表面上的四种不同类型的聚合物。该方法名为荧光标记的碳水化合物结合模块(FTCM),该方法基于来自碳水化合物结合模块的探针发出的荧光信号,该探针旨在识别特定的聚合物,例如结晶纤维素,无定形纤维素,木聚糖和甘露聚糖。

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