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首页> 外文期刊>Quimica nova >IDENTIFICA????O DE ADULTERANTES DE BIODIESEL MET??LICO DE CRAMBE EM MISTURAS COM DIESEL, USANDO FT-MIR E CARTAS DE CONTROLE MULTIVARIADAS BASEADAS NO SINAL ANAL??TICO L??QUIDO
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IDENTIFICA????O DE ADULTERANTES DE BIODIESEL MET??LICO DE CRAMBE EM MISTURAS COM DIESEL, USANDO FT-MIR E CARTAS DE CONTROLE MULTIVARIADAS BASEADAS NO SINAL ANAL??TICO L??QUIDO

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Adulterants in biodiesel/diesel blends modifies its physical and chemical properties. In this work, Fourier Transform Mid-Infrared spectrometry (FT-MIR) and multivariate control charts based on Net Analyte Signal (NAS) were used to monitor the quality of Crambe methyl biodiesel in relation to the biodiesel content and the presence of adulterants. The calibration model was constructed from the decomposition of the instrumental signals of the calibration samples into three vectors: NAS, interference and residual. From these vectors, three control charts were built: (i) NAS chart to monitor the analyte of interest (Crambe methyl biodiesel); (ii) Interference chart to monitor the data matrix (all components in diesel without the analyte of interest); and (iii) Residual chart to monitor any non-systematic variations. To validate the calibration model, other groups of B10, BX and B10 samples adulterated by direct addition of soybean oil and used fry oil in the range of 4.85-30.13% (v/v) were used. All samples prepared in-quality specifics were correctly classified as “in-quality control” samples, and other samples were correctly classified as “out-of-quality control” samples. Therefore, the methodology developed proved to be efficient in monitoring the quality of this fuel and it can be used by supervisory and quality control agencies.
机译:生物柴油/柴油混合物中的掺杂剂改变其物理和化学性质。在这项工作中,傅里叶变换中红外光谱(FT-MIR)和基于净分析物信号(NAS)的多变量控制图来监测克拉姆贝甲基生物柴油的质量与生物柴油含量和掺杂剂的存在。校准模型由校准样本的仪器信号的分解构成为三个向量:NAS,干扰和残余。从这些向量中,构建了三个控制图:(i)NAS图来监测利益分析物(Crambe甲基生物柴油); (ii)监测数据矩阵的干扰图(柴油中的所有组件,没有兴趣分析物); (iii)剩余图表,以监测任何非系统变化。为了验证校准模型,使用其他基团的B10,Bx和B10样品通过直接加入豆油和使用的油炸油在4.85-30.13%(v / v)的范围内。所有样品质量的质量细节被正确归类为“质量控制”样品,并且其他样品被正确归类为“质量不适控制”样品。因此,在监测该燃料的质量的情况下,制定的方法被证明是有效的,并且可以由监督和质量控制机构使用。

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