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首页> 外文期刊>Journal of near infrared spectroscopy >Determination of methane fermentation yield and its kinetics by near infrared spectroscopy and chemical composition in maize
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Determination of methane fermentation yield and its kinetics by near infrared spectroscopy and chemical composition in maize

机译：利用近红外光谱法和玉米化学成分测定甲烷发酵产量及其动力学

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Maize (Zea mays L.) is the most commonly used substrate for methane production through anaerobic fermentation and is gaining further importance in Germany. Laboratory assays used for the determination of methane fermentation yield (MFY), i.e. the amount of methane produced per unit of dry matter, are complex and costly. Thus, the adoption of near infrared (NIR) spectroscopy, which is already successfully used for fast and cost-effective examination of animal feeds, would remedy this problem. The objectives of this study were to examine the potential of employing NIR spectroscopy to predict MFY as measured in a discontinuous fermenter, investigate the reliability of prediction of parameters related to the kinetics of MFY and compare models based on NIR spectroscopy with that on chemical composition for reliable prediction of MFY. Samples of dried whole plant material from 55 maize genotypes, grown in six environments, were analysed for their MFY using a discontinuous fermentation assay for different fermentation times. Further, chemical composition of the samples was analysed and NIR spectra were measured. Calibration models were developed to predict MFY and related traits based on NIR spectroscopy or chemical composition. Prediction of MFY after a short fermentation time (R~2 = 0.88 after five days) was better than after complete fermentation (R~2 = 0.77 after 35 days). Chemical composition models were always inferior to NIR spectroscopy models and showed a strong decrease in performance to predict MFY with ongoing fermentation time. The superiority of NIR spectroscopy is most likely attributable to higher information content in the NIR spectra. The fast determination of MFY by NIR spectroscopy will enable the examination of a larger number of samples and, therefore, allow for the use of MFY in maize breeding for biogas production.
机译：玉米（Zea mays L.）是通过厌氧发酵生产甲烷的最常用底物，在德国正变得越来越重要。用于确定甲烷发酵产率（MFY）的实验室测定法，即每单位干物质产生的甲烷量是复杂且昂贵的。因此，已经成功地用于动物饲料的快速和成本有效的检查的近红外（NIR）光谱的采用将解决这个问题。这项研究的目的是检验使用NIR光谱法预测不连续发酵罐中MFY的潜力，研究与MFY动力学相关的参数预测的可靠性，并将基于NIR光谱法的模型与化学成分模型进行比较。 MFY的可靠预测。使用在不同发酵时间下进行的不连续发酵测定，分析了在六个环境中生长的55种基因型玉米全干植物样品的MFY。此外，分析样品的化学组成并测量NIR光谱。开发了基于NIR光谱或化学成分预测MFY和相关性状的校准模型。短发酵时间（五天后R〜2 = 0.88）的预测优于完全发酵后（35天后R〜2 = 0.77）的MFY预测。化学成分模型始终不如NIR光谱模型，并且随着发酵时间的延长，预测MFY的性能大大降低。 NIR光谱学的优越性很可能归因于NIR光谱中更高的信息含量。通过NIR光谱法快速测定MFY将能够检查大量样品，因此，可以将MFY用于生产沼气的玉米育种中。

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