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Near infrared reflectance spectroscopy and multivariate analysis to monitor reaction products during biodiesel production

机译：近红外反射光谱和多元分析可监控生物柴油生产过程中的反应产物

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摘要

In agreement with the principles of green chemistry, near infrared spectroscopy (NIRS) allows multicomponent analysis in a fast and nondestructive way, without requiring complex pre-treatments, being a safe, clean and energy saving technique. In this work, a preliminary study to develop near infrared calibration models to predict methyl esters (ME) yield, monoglycerides (MG), diglycerides (DG), triglycer-ides (TG), free glycerol (FG) and total glycerol (TotalG) content in biodiesel has been carried out. These parameters are considered key factors to determine biofuel quality, its commercialization and to study and monitor the transesterification reaction. For this purpose, samples of biodiesel produced from three different vegetable oils (maize oil, sunflower oil and olive-pomace oil) were analyzed following the EN14103 and EN14105 European standards as reference methods. NIRS calibration equations were validated with a group of validation samples. The mean spectra showed that the main variability on biodiesel NIR spectra occurred around 1700 and 2300 nm. Moreover, the principal components analysis (PCA) applied to the spectra revealed the grouping of samples according to the type of oils used for biodiesel production. The standard deviation of the prediction (cross validation) errors (RMSEPcv) of the calibration models and the standard deviation error (RMSEP) of the validation set resulted similar to the measurement errors (intra lab SEL_r) and repeatability (inter lab SEL_R) of each analyte. Results confirm the accuracy of the developed NIRS -models for determination of glycerides content and methyl esters yield in biodiesel.
机译：与绿色化学原理一致，近红外光谱（NIRS）是一种快速，无损的多组分分析方法，不需要复杂的预处理，是一种安全，清洁和节能的技术。在这项工作中，初步研究将开发近红外校准模型，以预测甲酯（ME）的产量，甘油单酸酯（MG​​），甘油二酸酯（DG），甘油三酸酯（TG），游离甘油（FG）和总甘油（TotalG）生物柴油中的含量已经进行。这些参数被认为是决定生物燃料质量，其商业化以及研究和监测酯交换反应的关键因素。为此，按照欧洲标准EN14103和EN14105分析由三种不同植物油（玉米油，葵花籽油和橄榄果渣油）生产的生物柴油样品。使用一组验证样本验证了NIRS校准方程式。平均光谱显示，生物柴油近红外光谱的主要变异发生在1700和2300 nm附近。此外，应用于光谱的主成分分析（PCA）显示了根据用于生物柴油生产的油的类型对样品进行分组。校准模型的预测（交叉验证）误差（RMSEPcv）的标准偏差和验证集的标准偏差误差（RMSEP）的结果与每个模型的测量误差（实验室内SEL_r）和可重复性（实验室间SEL_R）相似分析物。结果证实了所开发的用于确定生物柴油中甘油酯含量和甲酯收率的NIRS模型的准确性。

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  • 来源
    《Fuel》 |2012年第1期|p.354-359|共6页
  • 作者

    Sara Pinzi; Fernando Alonso; Juan Garcia Olmo; M. Pilar Dorado;

  • 作者单位

    Dep. Physical Chemistry and Applied Thermodinamics, Ed Leonardo da Vinci, Campus de Rabanales, 14071 Cordoba, Spain;

    Dep. Physical Chemistry and Applied Thermodinamics, Ed Leonardo da Vinci, Campus de Rabanales, 14071 Cordoba, Spain;

    NIR/MIR Spectroscopy Unit, Central Service for Research Support (SCAl), University of Cordoba, Campus de Rabanales, 14071 Cordoba, Spain;

    Dep. Physical Chemistry and Applied Thermodinamics, Ed Leonardo da Vinci, Campus de Rabanales, 14071 Cordoba, Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    methyl esters; vegetable oil; transesterification; glyceride; biodiesel quality;

    机译：甲酯;植物油;酯交换甘油酯生物柴油质量;

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