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Production of an innovative biowaste-derived fertilizer: Rapid monitoring of physical-chemical parameters by hyperspectral imaging

机译：创新的生物废物源化肥的生产：通过高光谱成像快速监测理化参数

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摘要

In this work the possibility to apply hyperspectral imaging as a fast and non-destructive technique for the monitoring of the production process at pilot plant scale of an innovative biowaste-derived fertilizer was explored. Different mixtures of urban organic waste, farm organic residues, biochar and vegetable active principles were selected and utilized in two different European countries, Italy and Spain, for the production of the innovative fertilizer. The biowaste-derived fertilizer samples were collected from the pilot plant piles at different curing time and acquired by the hyperspectral imaging device. Spectra have been collected in the near infrared wavelength range (1000–1700 nm). Conventional analyses were carried out on the same samples in order to find correlations between the physical-chemical parameters detected at laboratory scale, and the acquired reflectance spectra. The investigated parameters were: pH, electrical conductivity, soluble total organic carbon and soluble total nitrogen.Hyperspectral data were processed adopting chemometric strategies through the application of principal component analysis, for exploratory purposes, and partial least squares analysis to establish correlations between spectral features and measured physical-chemical parameters. Good correlations, with R2ranging between 0.85 and 0.96, were obtained for all the investigated parameters. Results showed as the proposed approach, based on hyperspectral imaging, is suitable to be adopted for a rapid and non-destructive monitoring of waste-derived fertilizer production.
机译：在这项工作中，探索了将高光谱成像技术作为一种快速，无损的技术，用于监测创新的生物废物衍生肥料的中试工厂规模生产过程的可能性。选择了城市有机废物，农场有机残留物，生物炭和蔬菜有效成分的不同混合物，并在两个不同的欧洲国家（意大利和西班牙）中用于生产创新肥料。在不同的固化时间从中试植物堆中收集生物废物衍生的肥料样品，并通过高光谱成像设备进行采集。在近红外波长范围（1000-1700 nm）内收集了光谱。为了在实验室规模检测到的物理化学参数与所获得的反射光谱之间的相关性，对相同的样品进行了常规分析。研究的参数为：pH，电导率，可溶总有机碳和可溶总氮。通过化学计量学方法，通过主成分分析的应用对高光谱数据进行了处理（用于探索性目的）和偏最小二乘分析，以建立光谱特征与测量的物理化学参数。对于所有研究的参数，都获得了良好的相关性，R2在0.85至0.96之间。结果表明，基于高光谱成像的拟议方法适合用于废物衍生肥料生产的快速无损监测。

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