Amelia De santana Cartaxo

Ms. Amelia De santana Cartaxo


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 April 2026 in Processes
Verified
Journal Article
Open access
PDF file
FSFelipe Anchieta e Silva
Felipe Anchieta e Silva
ACAmelia De santana Cartaxo
Amelia De santana Cartaxo
AEANTONIO DEMOUTHIE DE SALES ROLIM ESMERALDO
ANTONIO DEMOUTHIE DE SALES ROLIM ESMERALDO
Elaine Meireles SenraElaine Meireles Senra
Elaine Meireles Senra
José Carlos PintoJosé Carlos Pinto
José Carlos Pinto
The widespread utilization of plastic materials across various industrial sectors drives a continuous increase in global polymer demand. The exponential production growth generates severe environmental challenges regarding municipal solid waste management, as substantial fractions of post-consumer residuals enter landfills due to limited recycling infrastructure. Mitigating the global environmental burden requires the implementation of advanced recovery strategies to transition polymer waste into viable secondary feedstocks. Consequently, deploying efficient sorting techniques constitutes a fundamental requirement to integrate plastic materials into formal waste management protocols and optimize recycling yields. Technological innovations currently drive the transition from traditional manual segregation towards highly sophisticated automated sensor-based sorting architectures, maximizing separation efficiency. In this context, the present study comprehensively reviews pretreatment classification techniques engineered to fractionate heterogeneous waste streams into high-purity material flows. Rather than restricting the analysis to polyolefins, this review encompasses a broad spectrum of commodity polymers predominantly found in urban solid waste environments.

12 March 2026 in Preprints.org
Verified
Preprint
Open access
PDF file
FSFelipe Anchieta e Silva
Felipe Anchieta e Silva
ACAmelia De santana Cartaxo
Amelia De santana Cartaxo
AEANTONIO DEMOUTHIE DE SALES ROLIM ESMERALDO
ANTONIO DEMOUTHIE DE SALES ROLIM ESMERALDO
Elaine Meireles SenraElaine Meireles Senra
Elaine Meireles Senra
José Carlos PintoJosé Carlos Pinto
José Carlos Pinto
The widespread utilization of plastic materials across various sectors has led to significant increase of plastics demand over the decades. This growth has been accompanied by a mounting challenge related to managing of generated plastic waste, as substantial portions of the plastic residual end up in landfills due to limited recycling efforts. Addressing this global concern demands the development of innovative strategies to better assess and recover polymer waste, which should be treated as a different feedstock. In order to do that, efficient sorting techniques are crucial to integrate valuable materials like plastics into municipal solid waste management and improve recycling outcomes. As a matter of fact, technological innovations in this area have given rise to more sophisticated sorting methods, exploring automated sorting techniques to enhance recycling efficiency. Nevertheless, among traditional and modern sorting approaches, manual strategies are still used to perform plastic waste segregation. In this context, the present study aims to comprehensively review and assess pre-treatment classification techniques employed to transform waste streams into valuable compounds, specifically focusing on polyolefin materials present in large quantities in urban solid waste treatment environments.