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Comparison of Sample Preparation Methods for NIR Analysis of Carbohydrate Content of Unbleached Eucalyptus Pulps

机译:未漂白桉木浆中碳水化合物含量近红外分析样品制备方法的比较

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摘要

Near-infrared (NIR) spectroscopy provides a rapid method for estimating pulp carbohydrate content. Previous studies have used a variety of sample preparation methods; however, the influence of preparation method on calibration performance has not been examined. This study compares carbohydrate content calibrations for four sample preparation methods (coarse, fine, and milled pulp, and handsheets). Fifty-nine unbleached pulps (52 single-tree, 7 mill composite) with known carbohydrate composition (arabinose, fructose, galactose, glucose, rhamnose, and xylose) were prepared using the four methods. NIR spectra were collected from the samples, which were divided into calibration (40 samples) and prediction sets (19 samples). Calibrations were created for each combination of preparation method and carbohydrate, and tested on the prediction set. Calibration statistics were good for rhamnose and xylose but weaker for other carbohydrates. Coarse and fine pulp produced the best calibrations, but they were not significantly different from calibrations for handsheets; milled pulp provided the weakest calibrations.
机译:近红外(NIR)光谱法提供了一种快速的纸浆碳水化合物含量估算方法。先前的研究已经使用了多种样品制备方法。但是,尚未研究制备方法对校准性能的影响。这项研究比较了四种样品制备方法(粗浆,细浆,磨浆和手抄纸)的碳水化合物含量校准。使用四种方法制备了具有已知碳水化合物成分(阿拉伯糖,果糖,半乳糖,葡萄糖,鼠李糖和木糖)的59个未漂白纸浆(52个单树,7磨复合材料)。从样品中收集NIR光谱,将其分为校准(40个样品)和预测集(19个样品)。针对制备方法和碳水化合物的每种组合创建校准,并在预测集上进行测试。鼠李糖和木糖的校准统计数据良好,而其他碳水化合物的校准统计数据则较弱。粗浆和细浆的校准效果最佳,但与手抄纸的校准无明显差异。研磨的纸浆提供的校准最弱。

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