Literature DB >> 34369927

Sampling, Identification and Characterization of Microplastics Release from Polypropylene Baby Feeding Bottle during Daily Use.

Dunzhu Li1, Luming Yang1, Rachel Kavanagh2, Liwen Xiao3, Yunhong Shi1, Daniel K Kehoe2, Emmet D Sheerin4, Yurii K Gun'ko5, John J Boland6, Jing Jing Wang7.   

Abstract

Microplastics (MPs) are becoming a global concern due to the potential risk to human health. Case studies of plastic products (i.e., plastic single-use cups and kettles) indicate that MP release during daily use can be extremely high. Precisely determining the MP release level is a crucial step to identify and quantify the exposure source and assess/control the corresponding risks stemming from this exposure. Though protocols for measuring MP levels in marine or freshwater has been well developed, the conditions experienced by household plastic products can vary widely. Many plastic products are exposed to frequent high temperatures (up to 100 °C) and are cooled back to room temperature during daily use. It is therefore crucial to develop a sampling protocol that mimics the actual daily-use scenario for each particular product. This study focused on widely used polypropylene-based baby feeding bottles to develop a cost-effective protocol for MP release studies of many plastic products. The protocol developed here enables: 1) prevention of the potential contamination during sampling and detection; 2) realistic implementation of daily-use scenarios and accurate collection of the MPs released from baby feeding bottles based on WHO guidelines; and 3) cost-effective chemical determination and physical topography mapping of MPs released from baby feeding bottles. Based on this protocol, the recovery percentage using standard polystyrene MP (diameter of 2 µm) was 92.4-101.2% while the detected size was around 102.2% of the designed size. The protocol detailed here provides a reliable and cost-effective method for MP sample preparation and detection, which can substantially benefit future studies of MP release from plastic products.

Entities:  

Year:  2021        PMID: 34369927     DOI: 10.3791/62545

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  2 in total

1.  Microbe-Based Sensor for Long-Term Detection of Urine Glucose.

Authors:  Dunzhu Li; Yunhong Shi; Yifan Sun; Zeena Wang; Daniel K Kehoe; Luis Romeral; Fei Gao; Luming Yang; David McCurtin; Yurii K Gun'ko; Michael E G Lyons; Liwen Xiao
Journal:  Sensors (Basel)       Date:  2022-07-17       Impact factor: 3.847

2.  Alcohol Pretreatment to Eliminate the Interference of Micro Additive Particles in the Identification of Microplastics Using Raman Spectroscopy.

Authors:  Dunzhu Li; Emmet D Sheerin; Yunhong Shi; Liwen Xiao; Luming Yang; John J Boland; Jing Jing Wang
Journal:  Environ Sci Technol       Date:  2022-08-25       Impact factor: 11.357

  2 in total

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