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首页> 外文期刊>Journal of near infrared spectroscopy >Rapid prediction of phenolic compounds as chemical markers for the natural durability of teak (Tectona grandis Linn f.) heartwood by near infrared spectroscopy
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Rapid prediction of phenolic compounds as chemical markers for the natural durability of teak (Tectona grandis Linn f.) heartwood by near infrared spectroscopy

机译:利用近红外光谱法快速预测酚类化合物作为柚木心材自然耐久性的化学标记

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Near infrared (NIR) spectroscopy provides rapid and non-destructive analysis of wood properties and composition. In this study, we aimed to use NIR measurement for the prediction of teak phenolic compounds, which are chemical markers for natural durability of wood. Twenty-seven teak trees from two geographical zones (Malaysia and Ivory Coast) were used. On ground heartwood samples, the content of total phenolics and individual quinones (tectoquinone, 2-(hydroxymethyl)anthraquinone, 2-anthraquinone carboxylic acid, 1,4-naphthoquinone and 4',5'-dihydroxy-epiisocatalponol) were determined using high performance liquid chromatography (HPLC). Partial least squares (PLS) regression with NIR spectra on the same samples and phenolic data was used to build NIR models for phenolic contents. The PLS models for the total predicted phenolics and three quinone contents (tectoquinone, 2-(hydroxymethyl) anthraquinone, and 4',5'-dihydroxy-epiisocatalponol) showed a good ratio of performance to deviation (RPD ≥ 2.5), strong coefficients of determination (r~2 ≥ 0.8) and the prediction errors were consistent with the reference method. These results demonstrate that NIR spectroscopy can be reliable for the evaluation of total phenolics and individual quinones in teak heartwood wood meal. NIR spectroscopy is a promising technique for rapidly providing information on the quinone contents in teak wood and indirectly for knowing its natural durability. This finding leads to a precise, non-destructive tool for teak wood quality evaluation.
机译:近红外(NIR)光谱可以对木材的性质和成分进行快速而无损的分析。在这项研究中,我们旨在使用NIR测量来预测柚木酚类化合物,柚木酚类化合物是木材天然耐久性的化学标记。使用了两个地理区域(马来西亚和象牙海岸)的27棵柚木树。在地面心材样品上,通过高效液相色谱法测定了总酚和各个醌(tectoquinone,2-(羟甲基)蒽醌,2-蒽醌羧酸,1,4-萘醌和4',5'-二羟基-表异卡他三醇)的含量液相色谱(HPLC)。在相同样品和酚醛数据上使用具有NIR光谱的偏最小二乘(PLS)回归来建立酚含量的NIR模型。预测的总酚含量和三个醌含量(tectoquinone,2-(羟甲基)蒽醌和4',5'-dihydroxy-epiisocatalponol)的PLS模型显示出良好的性能与偏差比(RPD≥2.5),测定(r〜2≥0.8)和预测误差与参考方法一致。这些结果表明,NIR光谱法可用于评估柚木心材木粉中的总酚类和单个醌。近红外光谱技术是一种有前途的技术,可用于快速提供柚木中醌含量的信息,并间接了解其天然耐久性。这一发现导致了一种精确,无损的柚木木材质量评估工具。

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