首页> 外文期刊>Bioresource Technology: Biomass, Bioenergy, Biowastes, Conversion Technologies, Biotransformations, Production Technologies >Near infrared and acoustic chemometrics monitoring of volatile fatty acids and dry matter during co-digestion of manure and maize silage
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Near infrared and acoustic chemometrics monitoring of volatile fatty acids and dry matter during co-digestion of manure and maize silage

机译:肥料和玉米青贮饲料共消化过程中挥发性脂肪酸和干物质的近红外和声化学计量学监测

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摘要

In this study, two process analytical technologies, near infrared spectroscopy and acoustic chemometrics, were investigated as means of monitoring a maize silage spiked biogas process. A reactor recirculation loop which enables sampling concomitant with on-line near infrared characterisation was applied. Near infrared models resulted in multivariate models for total and volatile solids with ratio of standard error of performance to standard deviation (RPD) values of 5 and 5.1. indicating good on-line monitoring prospects. The volatile fatty acid models had slopes between 0.83 and 0.92 (good accuracy) and RPD between 2.8 and 3.6 (acceptable precision). A second experiment employed at-line monitoring with both near infrared spectroscopy and acoustic chemometrics. A larger calibration span was obtained for total solids by spiking. Both process analytical modalities were validated with respect to the total solids prediction. The near infrared model had an RPD equal to 5.7, while the acoustic chemometrics model resulted in a RPD of 2.6.
机译:在这项研究中,研究了两种过程分析技术,即近红外光谱法和声学化学计量学,作为监测玉米青贮饲料加标沼气过程的手段。应用了一个反应器再循环回路,该回路能够进行在线近红外特征分析。近红外模型生成了总固体和挥发性固体的多元模型,其性能标准误与标准偏差(RPD)的比值为5和5.1。表明良好的在线监测前景。挥发性脂肪酸模型的斜率在0.83和0.92之间(良好的精度),RPD在2.8和3.6之间(可接受的精度)。第二项实验采用了近红外光谱和声学化学计量学的在线监测。通过加标获得总固体的较大校准范围。相对于总固体预测,两种工艺分析方法均得到验证。近红外模型的RPD为5.7,而声学化学计量学模型的RPD为2.6。

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