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Automated image analysis and hyperspectral imagery with enhanced dark field microscopy applied to biochars produced at different temperatures

Articolo
Data di Pubblicazione:
2020
Abstract:
Biochar from agricultural biomasses and solid wastes represents a win-win solution for a rational waste management. Its sustainable usage requires the identification and standardization of biochar characteristics. The aim of this work was to identify the physical-chemical and spatial characteristics of biochars from pruning residues (PR), poultry litter (PL), and anaerobic cattle digestate (CD) at two pyrolysis temperatures (350 °C and 550 °C). The biochar characterization was carried out by applying emerging imaging techniques, 2D automated optical image analysis and hyperspectral enhanced dark-field microscopy (EDFM), and by SEM analysis. As predictable, the feedstock composition and the pyrolysis temperature strongly influence the physical structures of the biochar samples. Irrespective of charring temperature, PR biochar was mainly characterized by a broken and fragmented structure with an irregular and rough particle surface, completely different from the original PR wood cell. The EDFM imaging analysis evidenced the thermal degradation of PR vegetal products, composed primarily of hemicellulose, cellulose and lignin. On the contrary, small and regular particles with a smooth surface were produced by the PL pyrolysis, especially at 550 °C, due to the lower PL morphological homogeneity in comparison with the other biomasses. Finally, CD charring at both temperatures was characterized by changes in chemical composition, suggested by a lower pixel intensity. In conclusion, the emerging imaging techniques used in this study proved to be very effective in analyzing some properties of biochars, and can, therefore be considered as promising experimental strategies for detecting the feedstock and pyrolysis temperature of biochar.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
agricultural biomasses; solid wastes; Anaerobic cattle digestate; Discriminant analysis; Hyperspectral imagery; Poultry litter; Pruning residues; Pyrolysis temperature
Elenco autori:
Torreggiani, Armida
Autori di Ateneo:
TORREGGIANI ARMIDA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/410591
Pubblicato in:
WASTE MANAGEMENT
Journal
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https://www.sciencedirect.com/science/article/pii/S0956053X20300957
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