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首页> 外文期刊>Journal of near infrared spectroscopy >Designed orthogonal sample spiking based calibrations for quantitative liquid phase measurements with near infrared spectroscopy in an anaerobic digestion process
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Designed orthogonal sample spiking based calibrations for quantitative liquid phase measurements with near infrared spectroscopy in an anaerobic digestion process

机译:基于正交样品加标的标定,用于厌氧消化过程中使用近红外光谱进行定量液相测量

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摘要

Biogas production through anaerobic digestion (AD) plays an important role in the effort to reduce the amount of greenhouse gas emissions from energy production. At the same time commercial digestion processes are commonly operated well below their maximal capacity. One reason for this is the lack of suitable sensors for monitoring key parameters in the process. Near infrared (NIR) spectroscopy is seen as a potentially interesting technique for liquid phase measurements in AD processes. In this work, the concentrations of the important constituents, ammonium, acetate, propionate and total volatile fatty acids (TVFA), were measured by combining NIR transmittance measurements and partial least-squares (PLS) models. In order to obtain additional calibration data without having to perform additional reference measurements, and in order to enhance the constituent specific correlation in the calibration data, a spiking procedure was implemented according to a central composite design. This methodology reduced the root mean square error of prediction (RMSEP) for ammonium from 176 mg L~(-1) to 127 mg L~(-1), for acetate from 334 mg L~(-1) to 260 mg L~(-1) for propionate from 258 mg L~(-1) to 203 mg L~(-1) and for TVFA from 858 mg L~(-1) to 704mg L~(-1). The spiking procedure also significantly increased the correlation between model predictions on pure constituent spectra and reference values, compared to that of models based on non-spiked data.
机译:通过厌氧消化(AD)生产沼气在减少能源生产中温室气体排放量的努力中起着重要作用。同时,商业消化过程通常在其最大容量以下运行。原因之一是缺乏合适的传感器来监控过程中的关键参数。近红外(NIR)光谱被认为是AD过程中液相测量的潜在有趣技术。在这项工作中,重要成分铵,乙酸盐,丙酸酯和总挥发性脂肪酸(TVFA)的浓度是通过结合近红外透射率测量和偏最小二乘(PLS)模型进行测量的。为了获得额外的校准数据而不必执行额外的参考测量,并且为了增强校准数据中的成分特定相关性,根据中央复合设计实施了加标程序。该方法将铵的预测均方根误差(RMSEP)从176 mg L〜(-1)降低到127 mg L〜(-1),乙酸盐的预测均方根误差从334 mg L〜(-1)降低到260 mg L〜 (-1)表示从258 mg L〜(-1)到203 mg L〜(-1)的丙酸根,TVFA从858 mg L〜(-1)到704mg L〜(-1)的TVFA。与基于非加标数据的模型相比,加标程序还显着提高了纯组分光谱的模型预测与参考值之间的相关性。

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