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首页> 外文期刊>Bioresource Technology: Biomass, Bioenergy, Biowastes, Conversion Technologies, Biotransformations, Production Technologies >Efficiency of near-infrared reflectance spectroscopy to assess and predict the stage of transformation of organic matter in the composting process
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Efficiency of near-infrared reflectance spectroscopy to assess and predict the stage of transformation of organic matter in the composting process

机译:近红外反射光谱法评估和预测堆肥过程中有机物转化阶段的效率

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摘要

Changes in composts of sewage sludges and green wastes were analysed by near infrared reflectance spectroscopy (NIRS) and chemical analysis with 426 samples representative of six stages of composting: 8, 20, 35, 75, 135 and 180 days. Maturity of compost was assessed through changes in C:N ratio. Results of spectroscopic properties (200 wavelengths) were studied with several multivariate analyses. First, a descriptive approach revealed compost changes with time of maturation. Then, a constrained ordination (RDA with permutation tests) demonstrated a significant effect of three factors of sampling: stage of composting, depth and position in windrows. Precise calibration models between spectral data, the C, N, C:N values and composting time were build using partial least square regression (r(2) > 0.95). Together, these results show the efficiency of NIRS to predict chemical changes and the stage of transformation of organic matter during the composting process. (C) 2007 Elsevier Ltd. All rights reserved.
机译:通过近红外反射光谱(NIRS)和化学分析对426个代表堆肥六个阶段的样品进行了分析,分析了污泥和绿色废物堆肥的变化:8、20、35、75、135和180天。通过改变C:N比来评估堆肥的成熟度。通过几个多元分析研究了光谱性质(200个波长)的结果。首先,描述性方法揭示了堆肥随成熟时间的变化。然后,受约束的排序(带有置换测试的RDA)证明了采样的三个因素的显着效果:堆肥阶段,堆肥的深度和位置。使用偏最小二乘回归(r(2)> 0.95)建立光谱数据,C,N,C:N值和堆肥时间之间的精确校准模型。总之,这些结果显示了NIRS在堆肥过程中预测化学变化和有机物转化阶段的效率。 (C)2007 Elsevier Ltd.保留所有权利。

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