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Microfiber pollution: Assessment, emission estimation, and time-series-based forecast of microfibers from domestic washing machine laundering and mitigation measures.
Alex, Riya Kumbukattu; Muhammed, Thasnimol Mukalarkudy; Kannankai, Madhuraj Palat; Radhakrishnan, Amal; Borah, Abhinab; Reghuvaran, Abesh; Devipriya, Suja Purushothaman.
Afiliación
  • Alex RK; School of Environmental Studies, Cochin University of Science and Technology, Cochin, India.
  • Muhammed TM; School of Environmental Studies, Cochin University of Science and Technology, Cochin, India.
  • Kannankai MP; School of Environmental Studies, Cochin University of Science and Technology, Cochin, India.
  • Radhakrishnan A; School of Environmental Studies, Cochin University of Science and Technology, Cochin, India.
  • Borah A; School of Environmental Studies, Cochin University of Science and Technology, Cochin, India.
  • Reghuvaran A; Centre for Science in Society, Cochin University of Science and Technology, Cochin, India.
  • Devipriya SP; School of Environmental Studies, Cochin University of Science and Technology, Cochin, India.
Article en En | MEDLINE | ID: mdl-39185940
ABSTRACT
Microfibers are thread-like structures shorter than 5 mm and have natural, semisynthetic, or synthetic origins. These micropollutants are ubiquitous and are emerging in the environment, living organisms, and food sources. Textile laundering is a prominent source of microfibers, but limited research has been conducted on microfiber pollution from domestic washing machines in emerging economies such as India, where consumption and production rates are exorbitantly high. This study aimed to assess the abundance and size distribution of microfibers from the effluent of a semiautomatic domestic washing machine using three categories of "not-new" textiles cotton, blended, and synthetic under "with" and "without" detergent conditions. Although most Indians still rely on hand washing, this study focused on washing machines due to their increasing use in India driven by improving socioeconomic factors. This study also developed annual emission estimation and forecasting models for India to understand pollution trends. The results revealed that microfibers were highly abundant in washing machine effluent, with a mean abundance of cotton, blended, and synthetic in "with detergent" conditions of 6476.67, 3766.67, and 8645/L, respectively, whereas in "without detergent," it was lower. All identified microfibers were divided into five size classes. The study also found that powdered detergent increased the abundance and emission of tiny fibers. The overall annual emissions estimate was 1.23 × 1011 microfibers, with cotton, synthetic, and blended categories accounting for 2.11 × 1010, 1.40 × 1010, and 6.15 × 109 microfibers, respectively. Time-series-based future estimates (autoregressive integrated moving average [ARIMA] and error-trend-seasonality [ETS]) showed an alarming increase in microfiber emissions, with forecasted annual emission reaching 1.90 × 1011 by 2030. Synthetic and cotton textiles are the most significant contributors to microfiber pollution. This study emphasized the urgent need to address the issue of microfiber pollution caused by washing machine laundering in developing countries, such as India, where sociodemographic factors intensify the problem. Integr Environ Assess Manag 2024;001-12. © 2024 SETAC.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Integr Environ Assess Manag Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Integr Environ Assess Manag Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos