利用傅立叶变换红外光谱预测大麦秸秆衍生生物秸秆的稳定性

Monica A. McCall*, Jonathan S. Watson and Mark A. Sephton, 
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引用次数: 0

摘要

为了估算生物炭作为温室气体清除技术的一部分固碳能力,需要对生物炭的稳定性进行快速、便捷的估算。本研究采用一种新方法,利用傅立叶变换红外光谱(FTIR)来预测常见的稳定性指标,即 H:C 和 O:C 摩尔比。从大麦秸秆中提取的生物炭是在 150 至 700 °C 的温度下生产的。生物炭的最大成分变化发生在 200 至 400 °C 之间。所有在≥400 °C下生产的生物酵素都达到了H:C <0.7和O:C <0.4,表明生物酵素适用于土壤应用。利用傅立叶变换红外光谱数据建立了回归模型,以预测 H:C 和 O:C 摩尔比。H:C 模型的判定系数 (R2) 为 0.99,平均绝对百分比误差 (MAPE) 为 6.86%,均方根误差 (RMSE) 为 0.07。O:C 模型的 R2 (0.99)、MAPE 为 9.02%、RMSE 为 0.03。我们的研究结果表明,将傅立叶变换红外光谱数据与建模相结合是获得生物炭稳定性数据的一种快速、简便的方法。
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Predicting Stability of Barley Straw-Derived Biochars Using Fourier Transform Infrared Spectroscopy

In order to estimate the ability of biochar to sequester carbon as part of greenhouse gas removal technology, there is a need for rapid and accessible estimations of biochar stability. This study employs a novel method using Fourier transform infrared spectroscopy (FTIR) to predict common stability indicators, namely H:C and O:C molar ratios. Biochars derived from barley straw were produced at temperatures from 150 to 700 °C. The greatest compositional changes of the biochars occurred between 200 and 400 °C. All biochars produced at ≥400 °C achieved H:C < 0.7 and O:C < 0.4, indicative of biochars suitable for soil application. Regression models were built using FTIR data to predict H:C and O:C molar ratios. The H:C model produced a coefficient of determination (R2) of 0.99, mean absolute percentage error (MAPE) 6.86%, and root-mean-square error (RMSE) of 0.07. The O:C model achieved the same R2 (0.99), MAPE of 9.02%, and RMSE of 0.03. Our results demonstrate that combining FTIR data with modeling is a promising rapid and accessible method for attaining biochar stability data.

This research investigates a new method to predict stability data of biochar, a material used in greenhouse gas removal and soil amendment.

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