Midinfrared Spectroscopy and Partial Least-Squares Model as an Analytical Method for Biodiesel and Glycerol Monitoring,Industrial & Engineering Chemistry Research

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Midinfrared Spectroscopy and Partial Least-Squares Model as an Analytical Method for Biodiesel and Glycerol Monitoring
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2018-01-11 00:00:00 , DOI: 10.1021/acs.iecr.7b04074
Maiquel Bonato _{1,

2} , Alexsandra Valério ₁ , J. Vladimir Oliveira ₁ , Débora de Oliveira ₁ , Ariovaldo Bolzan ₁

Affiliation

This work reports the application of mid-infrared (MIR) spectroscopy and partial least-squares (PLS) model as an analytical method for the quality control of biodiesel production and glycerine treatment. The analytical techniques employed to control biodiesel production are expensive and laborious. On the other hand, the infrared spectroscopy technique has low cost when compared with conventional techniques, simple operation, and low waste generation, which makes it attractive when coupled with multivariate calibration models, such as PLS, as it constitutes a nondestructive analytical method for in-line monitoring biodiesel production reaction. In this work, spectral data were generated by MIR spectroscopy with attenuated total reflectance accessory, which allows a direct analysis. Therefore, for quantification of biodiesel samples, PLS was employed to model MIR spectroscopy data. The evaluated parameters were expressed in terms of acidity, phosphorus, monoacylglycerol, diacylglycerol, triacylglycerol,, water, glycerol, and ash contents.

中文翻译：

中红外光谱和偏最小二乘模型作为生物柴油和甘油监测的分析方法

这项工作报告了中红外（MIR）光谱学和偏最小二乘（PLS）模型作为生物柴油生产和甘油处理质量控制的一种分析方法的应用。用于控制生物柴油生产的分析技术昂贵且费力。另一方面，与传统技术相比，红外光谱技术成本低，操作简单且浪费少，这使其与诸如PLS的多变量校准模型结合时具有吸引力，因为它构成了红外光谱的无损分析方法。在线监测生物柴油生产反应。在这项工作中，通过具有衰减的全反射附件的MIR光谱生成光谱数据，从而可以直接进行分析。因此，为了量化生物柴油样品，使用PLS对MIR光谱数据进行建模。评价的参数以酸度，磷，单酰基甘油，二酰基甘油，三酰基甘油，水，甘油和灰分的形式表示。

更新日期：2018-01-12

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