Ricerc@Sapienza

Asbestos technological properties and its relatively low cost was the main reason, in
the past, for its wide utilization in many industrial sectors. Among the sectors, building and
construction ones utilized a lot of asbestos containing materials (ACM). During the construction and
demolition waste (C&DW) recycling process, ACM must be collected and separated from the other
wastes. C&DW materials includes, but are not limited to, bricks, concrete, masonry materials, roofing
materials, soil, rock, wood, wood products, wall or floor coverings, plaster, drywall, plumbing
fixtures, electrical wiring, electrical components, etc. The aim of recycling industry, when C&DW
reutilization aor dumping actions are applied, was to minimise hazardous materials (i.e. asbestos)
contamination risk. Control methodologies are thus necessary to evaluate presence and quality of
ACM. In many countries, legislation identifies asbestos as the asbestiform varieties of chrysotile (i.e.
serpentine), crocidolite (i.e. riebeckite), amosite (i.e. cummingtonite/grunerite) and anthophyllite.
The identification of contaminants inside demolition waste with rapid and non-destructively
technique is crucial for a correct reuse and/or storage of C&DW. Hyperspectral imaging (HSI) based
sensing devices allow to detect and characterize C&DW materials. HSI quality control approach is
based on the utilization of a platform working in the Short-Wave Infrared Range (SWIR: 1000–2500
nm). Hyperspectral images were analysed applying different chemometric methods: Principal
Component Analysis (PCA), for data exploration, and Partial Least Square Discriminant Analysis
(PLS-DA) to build classification models. Results showed that it is possible, inside a C&DW flow
stream, to recognize different materials (i.e. bricks, gypsum, plastics, wood, foam, aggregates, etc.)
from hazardous ones (i.e. ACM). Adopting the proposed strategies, a complete recycling process
control, including the inspection of incoming loads (i.e. C&DW fed to the recycling plant), ACM and
other “polluting” material identification, can be realized. The recognition is automatic, nondestructive
and it does not require the presence of ACM specialized personnel.