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首页> 外文期刊>Holzforschung >Quantitative Assessment Of Total Phenol Contents Of European Oak (quercus Petraea And Quercus Robur) By Diffuse Reflectance Nir Spectroscopy On Solid Wood Surfaces
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Quantitative Assessment Of Total Phenol Contents Of European Oak (quercus Petraea And Quercus Robur) By Diffuse Reflectance Nir Spectroscopy On Solid Wood Surfaces

机译:实木表面漫反射近红外光谱法定量评估欧洲栎木(栎木和栎木)中的总酚含量

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Near infrared spectroscopy (NIRS) combined with multi-variate analysis techniques was applied to assess phenol content of European oak. NIRS data were firstly collected directly from solid heartwood surfaces: in doing so, the spectra were recorded separately from the longitudinal radial and the transverse section surfaces by diffuse reflectance. The spectral data were then pretreated by several pre-processing procedures, such as multiplicative scatter correction, first derivative, second derivative and standard normal variate. The tannin contents of sawmill collected from the longitudinal radial and transverse section surfaces were determined by quantitative extraction with water/methanol (1:4, by vol). Then, total phenol contents in tannin extracts were measured by the Folin-Ciocalteu method. The NIR data were correlated against the Folin-Ciocalteu results. Calibration models built with partial least squares regression displayed strong correlation - as expressed by high determination correlation coefficient (r~2) and high ratio of performance to deviation (RPD) - between measured and predicted total phenols content, and weak calibration and prediction errors (RMSEC, RMSEP). The best calibration was provided with second derivative spectra (r~2 value of 0.93 for the longitudinal radial plane and of 0.91 for the transverse section plane). This study illustrates that the NIRS technique when used in conjunction with multivariate analysis could provide reliable, quick and non-destructive assessment of European oak heartwood extractives.
机译:近红外光谱(NIRS)与多变量分析技术相结合,用于评估欧洲橡木的酚含量。首先从固体心材表面直接收集NIRS数据:在这种情况下,通过漫反射将光谱分别与径向径向表面和横截面表面分开记录。然后通过几种预处理程序对光谱数据进行预处理,例如乘法散射校正,一阶导数,二阶导数和标准正态变量。通过用水/甲醇(体积比为1:4)的定量萃取来确定从纵向和横向横截面表面收集的锯木厂的单宁含量。然后,通过Folin-Ciocalteu方法测量单宁提取物中的总酚含量。 NIR数据与Folin-Ciocalteu结果相关。用偏最小二乘回归建立的校准模型在测得和预测的总酚含量之间显示出很强的相关性-如高测定相关系数(r〜2)和高性能/偏差比(RPD)-以及较弱的校准和预测误差( RMSEC,RMSEP)。最好的校准是使用二阶导数光谱(纵向径向平面的r〜2值为0.93,横向截面平面的r〜2值为0.91)。这项研究表明,将NIRS技术与多变量分析结合使用可以为欧洲橡木心材提取物提供可靠,快速且无损的评估。

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