Plastics are integral to modern life but present significant environmental and economic challenges due to ineffective waste management systems. This article provides a comprehensive review of global plastic waste management (PWM) strategies, focusing on advancements in processing technologies, policy frameworks and their practical applications. It highlights the role of the World Intellectual Property Organization (WIPO) and regulatory bodies across the United States, Canada, Europe, Britain, India, Japan, Australia and China in fostering sustainable PWM practices. The study evaluates key processing techniques, including pyrolysis, gasification, supercritical water conversion, plasma-assisted processes, mechanical reprocessing and landfilling, emphasizing their technological advancements, limitations and scalability. Supercritical water conversion (operating at >374°C and 22.1 MPa) and plasma-assisted processing (using ionized gas at >3000°C) are identified as advanced methods capable of converting plastics into simpler molecules or valuable by-products. However, these technologies face challenges such as high energy requirements, operational costs and limited scalability. Persistent issues, including microplastic pollution, environmental impacts and the chemical-intensive nature of certain processes, are critically analysed. Drawing on extensive reviews of patents, case studies and real-world implementations, the study also examines the reuse potential of plastic by-products in diverse industries and evaluates state-level PWM initiatives in India. This review provides actionable insights for policymakers, researchers and industry stakeholders, highlighting critical gaps and opportunities to enhance the sustainability and scalability of PWM systems. By addressing persistent challenges, it contributes to advancing a circular economy for plastics and sustainable waste management practices globally.

Download full-text PDF

Source
http://dx.doi.org/10.1177/0734242X241308499DOI Listing

Publication Analysis

Top Keywords

waste management
12
comprehensive review
8
plastic waste
8
supercritical water
8
water conversion
8
review recycling
4
recycling reusing
4
reusing methods
4
methods plastic
4
waste
4

Similar Publications

Problem: Water, sanitation and waste infrastructure and services in Ukrainian health-care facilities often fail to meet global and national standards, hindering the provision of safe, quality care. The war has worsened existing problems.

Approach: To incrementally improve water, sanitation, hand hygiene, environmental cleaning and health-care waste practices, the World Health Organization (WHO) is working with the health ministry, the Ukrainian Public Health Centre and regional United States Centers for Disease Prevention and Control (CDC) to implement the Water and Sanitation for Health Facility Improvement Tool (WASH FIT).

View Article and Find Full Text PDF

Addressing environmental challenges such as pollution and resource depletion requires innovative industrial and municipal waste management approaches. Cement production, a significant contributor to greenhouse gas emissions, highlights the need for eco-friendly building materials to combat global warming and promote sustainability. This study evaluates the simultaneous use of Sugarcane Bagasse Ash (SCBA) and Stone Dust (SD) as partial replacements by volume for cement and sand, respectively, at varying ratios in eco-strength concrete mixes designed for 28 MPa (ES-28) and 34 MPa (ES-34), emphasizing their economic and environmental benefits.

View Article and Find Full Text PDF

The use of 3D-printed electrodes is reported fabricated from in-house conductive filament composed of a mixture of recycled poly (lactic acid) (rPLA), graphite (Gpt), and carbon black (CB) for fast detection of the abused drug ketamine. Firstly, the performance of these electrodes was evaluated in comparison to 3D-printed electrodes produced employing a commercially available conductive filament. After a simple pretreatment step (mechanical polishing), the new 3D-printed electrodes presented better performance than the electrodes produced from commercial filament in relation to peak-to-peak separation of the redox probe [Fe(CN)]/ (130 mV and 759 mV, respectively), charge transfer resistance (R = 1.

View Article and Find Full Text PDF

Combination of anaerobic digestion and sludge biochar for bioenergy conversion: Estimation and evaluation of energy production, CO emission, and cost analysis.

J Environ Manage

January 2025

Bioenergy Research Institute - IPBEN, UNESP, Institute of Chemistry, Araraquara, SP, Brazil; São Paulo State University (UNESP), Institute of Chemistry, Campus Araraquara, Department of Engineering, Physics and Mathematics, Rua Prof. Francisco Degni, 55, 14800-900, Araraquara, SP, Brazil. Electronic address:

Waste-to-energy technologies involve the conversion of several wastes to useful energy forms like biogas and biochar, which include biological and thermochemical processes, as well as the combination of both systems. Assessing the economic and environmental impacts is an important step to integrate sustainability and economic viability at anaerobic digestion systems and its waste management. Energy production, CO emissions, cost analysis, and an overall process evaluation were conducted, relying on findings from both laboratory and pilot-scale experiments.

View Article and Find Full Text PDF

Enhancing door-to-door waste collection forecasting through ML.

Waste Manag

January 2025

Department of Mathematics, University of Padova, Via Trieste, 63, Padova, 35121, Italy; Augmented Intelligence Center, Fondazione Bruno Kessler (FBK), Via Santa Croce, 77, Trento, 38122, Italy; Department of Information Engineering and Computer Science, University of Trento, Via Sommarive, 9, Povo, 38123, Italy.

We explore the application of machine learning (ML) techniques to forecast door-to-door waste collection, addressing the challenges in municipal solid waste (MSW) management. ML models offer a promising solution to optimize waste collection operations, especially amid growing urban populations and evolving waste generation rates. Leveraging comprehensive data from a northeastern Italian municipality, including various waste types, our study investigates ML algorithms' efficacy in predicting household waste collection requirements.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!