首页> 外文会议>2009 ISEST;International symposium on environmental science and technology >Evaluation of the Effectiveness of near Infrared Reflectance Spectroscopy (NIRS) on Fe, Cu, Mn and Zn Estimation in Compost
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Evaluation of the Effectiveness of near Infrared Reflectance Spectroscopy (NIRS) on Fe, Cu, Mn and Zn Estimation in Compost

机译:堆肥中铁,铜,锰和锌估算的近红外反射光谱(NIRS)效果评估

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Composting is a treatment whose use for organic waste management is increasing. This process always increases the concentration of non-labile elements and, especially, metals, due to the loss of mass, in terms of water and gaseous emissions. This could constitute a hazard in terms of compost quality and hence, agricultural and environmental issues must be implemented taking into account the increasing presence of metals. Fe, Cu, Mn and Zn are metals usually present in organic wastes in heterogeneous concentration depending on the source and nature of the waste. These metals could be considered simultaneously valuable elements, due to its condition of essential microelements for plants, and pollutants, depending on the dose. The analysis of these elements on each composting batch at commercial level is time-consuming and expensive. So, the estimation of metals in composting facilities based on the use of near infrared reflectance spectroscopy (NIRS) could be an interesting approach in order to monitor the compost quality. In this study, more than 250 samples from 15 different composting procedures using different organic wastes (GS: grape stalk; EGM: exhausted grape marc; GM: grape marc; CM: cow manure; PM: poultry manure; SS: sewage sludge; V: vinasse; CJW: citrus juice waste; Alpeorujo: olive oil waste; AS: almond skin; EP: exhausted peat; TSW: tomato soup waste; SMS: spent mushroom substrate) were used to calibrate and validate the estimation of Fe, Cu, Mn and Zn content in these composts. The results showed that this technique needs to be fitted to each element, using specific spectrum transformations, in order to achieve an acceptable accuracy in the prediction.
机译:堆肥是一种越来越多地用于有机废物管理的处理方法。由于水和气体排放方面的质量损失,该过程总是增加非不稳定元素尤其是金属的浓度。就堆肥质量而言,这可能构成危害,因此,必须考虑到金属含量的增加来实施农业和环境问题。 Fe,Cu,Mn和Zn是有机废物中通常以异质浓度存在的金属,具体取决于废物的来源和性质。这些金属因其对植物必需的微量元素和污染物的状况(取决于剂量)而被同时视为有价值的元素。在商业水平上对每个堆肥批次中的这些元素进行分析既费时又昂贵。因此,基于近红外反射光谱法(NIRS)估算堆肥设施中的金属可能是一种有趣的方法,以监控堆肥的质量。在这项研究中,使用不同的有机废物从15种不同的堆肥程序中提取了250多个样品(GS:葡萄秸秆; EGM:废葡萄渣; GM:葡萄渣; CM:牛粪; PM:家禽粪便; SS:污水污泥; V :酒糟; CJW:柑橘汁废料; Alpeorujo:橄榄油废料; AS:杏仁皮; EP:废泥炭; TSW:番茄汤废料; SMS:用过的蘑菇底物)用于校准和验证Fe,Cu,这些堆肥中的锰和锌含量。结果表明,此技术需要使用特定的频谱转换来适合每个元素,以便在预测中达到可接受的准确性。

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