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首页> 外文期刊>Journal of Wood Chemistry and Technology >Estimating Glucan, Xylan, and Methylglucuronic Acids in Kraft Pulps of Eucalyptus globulus Using FT-NIR Spectroscopy and Multivariate Analysis
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Estimating Glucan, Xylan, and Methylglucuronic Acids in Kraft Pulps of Eucalyptus globulus Using FT-NIR Spectroscopy and Multivariate Analysis

机译：FT-NIR光谱法和多变量分析估算桉树牛皮纸浆中的葡聚糖，木聚糖和甲基葡糖醛酸

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摘要

Fourier transform near infrared (FT-NIR) associated with multivariate analysis was used to estimate glucan, xylan, 4-O-Methyl-α-D-glucuronic acid (MeGlcA) content, and pulp yield in kraft pulps of Eucalyptus globulus Labill. Several models were applied to correlate chemical composition in samples with the NIR spectral data by means of principal components regression (PCR) or partial least square (PLS) algorithms. Calibration models were built and validated by using all the spectral data and cross-validation methodology. The r_c~2 values for the best calibration models for quantification of glucan, xylan, MeGlcA contents and pulp yield were between 0.71-0.92. The model was validated using a set of external samples. The amount of glucan (64-77%), xylan (12-18%), and MeGlcA (204-363 mmol kg pulp~(-1)) in pulps were predicted with a root mean square error of prediction (RMSEP) of 0.91%, 0.46%, and 15.21% for glucan, xylan, and MeGlcA, respectively. Pulp yield (in the range of 46-70%) was also predicted with good accuracy with a RMSEP of 1.63%. These results suggest that glucan, xylan, MeGlcA composition, and pulp yield in kraft pulps of E. globulus can be adequately estimated by NIR spectroscopy for laboratory or industrial applications. NIR predictions can also provide useful and cost-effective tools for the rapid screening of large numbers of samples.
机译：与多元分析相关的傅里​​叶变换近红外（FT-NIR）用于估计葡聚糖蓝桉的牛皮纸浆中的葡聚糖，木聚糖，4-O-甲基-α-D-葡萄糖醛酸（MeGlcA）含量和纸浆产量。通过主成分回归（PCR）或偏最小二乘（PLS）算法，应用了几种模型将样品中的化学成分与NIR光谱数据相关联。通过使用所有光谱数据和交叉验证方法，建立并验证了校准模型。葡聚糖，木聚糖，MeGlcA含量和纸浆产量的最佳校准模型的r_c〜2值在0.71-0.92之间。使用一组外部样本对模型进行了验证。预测纸浆中葡聚糖（64-77％），木聚糖（12-18％）和MeGlcA（204-363 mmol kg纸浆〜（-1））的量，预测的均方根误差（RMSEP）为葡聚糖，木聚糖和MeGlcA分别为0.91％，0.46％和15.21％。还预测纸浆收率（46-70％范围内）的准确性很高，RMSEP为1.63％。这些结果表明，可以通过NIR光谱法适当地估计用于球形或球形的大肠杆菌的牛皮纸浆中的葡聚糖，木聚糖，MeGlcA组成和纸浆产量。 NIR预测还可以为快速筛查大量样品提供有用且具有成本效益的工具。

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  • 来源
    《Journal of Wood Chemistry and Technology》 |2009年第2期|150-163|共14页
  • 作者

    Mariel Monrroy; Regis Teixeira Mendonca; Jose Ruiz; Jaime Baeza; Juanita Freer;

  • 作者单位

    Renewable Resources Laboratory, Biotechnology Center, Universidad de Conception, Conception, Chile Faculty of Forest Sciences, Universidad de Conception, Conception, Chile;

    Renewable Resources Laboratory, Biotechnology Center, Universidad de Conception, Conception, Chile Faculty of Forest Sciences, Universidad de Conception, Conception, Chile;

    Renewable Resources Laboratory, Biotechnology Center, Universidad de Conception, Conception, Chile;

    Renewable Resources Laboratory, Biotechnology Center, Universidad de Conception, Conception, Chile Faculty of Chemical Sciences, Universidad de Conception, Conception, Chile;

    Renewable Resources Laboratory, Biotechnology Center, Universidad de Conception, Conception, Chile Faculty of Chemical Sciences, Universidad de Conception, Conception, Chile;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    eucalyptus globulus; FT-NIR; glucan; kraft pulp yield; multivariate analysis; uronic acids; xylan;

    机译：桉树FT-NIR;葡聚糖牛皮纸浆产量多元分析糖醛酸;木聚糖;

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