首页> 外文期刊>Quimica nova >QUANTIFICATION OF CRAMBE BIODIESEL CONTENT IN DIESEL BLENDS USING MIR SPECTROSCOPY END VARIABLES SELECTION.
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QUANTIFICATION OF CRAMBE BIODIESEL CONTENT IN DIESEL BLENDS USING MIR SPECTROSCOPY END VARIABLES SELECTION.

机译:MIR光谱末端变量选择柴油混合物中Crambe生物柴油含量的定量。

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Mid-Infrared absorption spectroscopy associate with the Partial Least Squares regression is the official method to monitor Brazilian commercial diesel quality. This method, however, uses solvents and a large number of samples for the construction of the calibration curves, which generates waste and increases the time needed for the analysis. In order to develop a non-destructive method, being possible to recover the sample after its quantification, decrease the quantity of samples and make use of a single calibration curve, in this study we used the oilseed crambe, which is not used in human food, for the methyl biodiesel production and PLS analysis for their content determination in mixtures with diesel at a concentration range of 1.00 to 30.00 (% v/v). The global model for crambe methyl biodiesel obatined RMSEC = 0.26 (% v/v), RMSECV = 0.35 (% v/v) and RMSEP = 0.41 (% v/v). Complementary, variable selection method iPLS was applied in the global model in order to reduce the spectral range required to regression construction and to improve the RMSEP, RMSECV and RMSEC values.
机译:中红外吸收光谱轴突与部分最小二乘因子回归是监控巴西商业柴油质量的官方方法。然而,这种方法使用溶剂和大量样品用于构建校准曲线,从而产生浪费并增加分析所需的时间。为了开发非破坏性方法,可以在其定量后恢复样品,降低样品的数量并利用单一校准曲线,在本研究中我们使用了不用于人类食物的油籽克拉姆贝例如,对于甲基生物柴油生产和PLS分析,它们的含量测定与柴油的混合物中的浓度范围为1.00至30.00(%v / v)。 Crambe甲基生物柴油的全局模型逆转RMSEC = 0.26(%v / v),RMSECV = 0.35(%v / v)和RmSEP = 0.41(%v / v)。互补的可变选择方法IPLS应用于全局模型,以减少回归构造所需的光谱范围,并改善RMSEP,RMSECV和RMSEC值。

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