Dyeability and hydrolytic degradation of polylactic acid fibers under different environments DOI
Qi Ran, Jun Hou, Shuyi Qin

et al.

Industrial Crops and Products, Journal Year: 2024, Volume and Issue: 218, P. 118904 - 118904

Published: June 14, 2024

Language: Английский

Accelerating biodegradation efficiency of low-density polyethylene and its hazardous dissolved organic matter using unexplored polyolefin-respiring bacteria: New insights on degradation characterization, biomolecule influence and biotransformation pathways DOI

Maseed Uddin,

Swathi Krishnan Venkatesan,

Subhan Kumar Pal

et al.

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: unknown, P. 138144 - 138144

Published: April 1, 2025

Language: Английский

Citations

1
Tracing Microplastic Aging Processes Using Multimodal Deep Learning: A Predictive Model for Enhanced Traceability DOI
Yunlong Li, Xue Wang, Han Zhang

et al.

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 9, 2024

The aging process of microplastics (MPs) affects their surface physicochemical properties, thereby influencing behaviors in releasing harmful chemicals, adsorption organic contaminants, sinking, and more. Understanding the is crucial for evaluating MPs' environmental risks, but tracing remains challenging. Here, we propose a multimodal deep learning model to trace typical factors aged MPs based on characteristics. A total 1353 morphology images Fourier transform infrared spectroscopy spectra were achieved from 130 undergoing different processes, demonstrating that properties vary processes. an accuracy 93% predicting major MPs. improves model's by approximately 5-20% reduces prediction bias compared single-modal model. In practice, established was performed predict naturally collected environment matrices. results aligned with conditions specific environments, as reported previous studies. Our findings provide new insights into understanding plastic process, contributing more accurately risk assessment

Language: Английский

Citations

6
Poly(lactic acid) nanoplastics through laser ablation: Establishing a reference model for mimicking biobased nanoplastics in aquatic environments. DOI Creative Commons

Malavika Manju Sudheer,

Arezou Fazli,

Stefania Sganga

et al.

Environmental Science Nano, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

In response to the limited environmentally relevant biobased nanoplastic models, formation of poly(lactic acid) nanoplastics with comparable properties ones deriving from environmental ageing debris, is presented.

Language: Английский

Citations

0
Biodegradation of PLA in surface water and its behavior towards PFOA: interactional characteristics and computational insights DOI

Sadam Hussain Tumrani,

Bharat Prasad Sharma,

Ali Raza Otho

et al.

Colloid & Polymer Science, Journal Year: 2025, Volume and Issue: unknown

Published: May 2, 2025

Language: Английский

Citations

0
Dyeability and hydrolytic degradation of polylactic acid fibers under different environments DOI
Qi Ran, Jun Hou, Shuyi Qin

et al.

Industrial Crops and Products, Journal Year: 2024, Volume and Issue: 218, P. 118904 - 118904

Published: June 14, 2024

Language: Английский

Citations

2