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Use of near-infrared spectroscopy for determining the total arsenic content in prostrate amaranth

机译:使用近红外光谱法测定pro菜中总砷含量

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摘要

The potential of near infrared spectroscopy (NIRS) for determining the total arsenic (As) content in the prostrate amaranth (Amaranthus blitoides S. Watson) was assessed. Seventy-four samples belonging to this species, were harvested at different maturity stages along the polluted area, and then were scanned by NIRS. Their As reference values were obtained by atomic absorption spectrometry and they were regressed against different spectral transformations using modified partial least square (MPLS) regression. First derivative transformation equation of the raw optical data, previously standardized by standard normal variate (SNV) and De-trending (DT) transformations, resulted in a coefficient of determination (r~2) in the external validation of 0.63, indicative of equations that can be used for a correct separation of the samples into low, medium and high groups. The standard deviation to standard error of prediction ratio (RPD) and range to standard error of prediction ratio (RER) for the first derivative equation were similar to those obtained for other trace metal calibrations reported in NIRS reflectance. Major cell components such as chlorophyll, lipids, starch and proteins were used by MPLS for modeling the equations. The use of NIRS for the determination of the As content in A. blitoides plants offers an important saving of time and cost of analysis.
机译:评估了近红外光谱法(NIRS)用于确定pro菜(Amaranthus blitoides S. Watson)中总砷(As)含量的潜力。沿污染区域在不同成熟阶段收获了74个属于该物种的样品,然后通过NIRS进行了扫描。通过原子吸收光谱法获得其As参考值,并使用改进的偏最小二乘(MPLS)回归对不同的光谱变换进行回归。原始光学数据的一阶导数变换方程式,以前已通过标准正态变量(SNV)和去趋势(DT)变换进行了标准化,在外部验证中得出的确定系数(r〜2)为0.63,表明该方程式可用于将样品正确分为低,中和高组。一阶导数方程的预测比率与标准误差的标准偏差(RPD)和预测比率与标准偏差的范围(RER)与在NIRS反射率中报告的其他痕量金属校准所获得的标准偏差相似。 MPLS使用主要的细胞成分(例如叶绿素,脂质,淀粉和蛋白质)对方程进行建模。使用近红外光谱分析仪(NIRS)测定钝叶曲霉植物中的砷含量可节省大量的时间和成本。

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