Impact of persistent rain on microplastics distribution and plastisphere community: A field study in the Pearl River, China

Wu, Jiayan; Ye, Quanyun; Sun, Leiye; Liu, Jieyu; Huang, Minye; Wang, Tianming; Wu, Pingxiao; Zhu, Ning

doi:10.1016/j.scitotenv.2023.163066

Cited by 26 publications

(8 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rainwater has been identified as a potential indicator of the abundance and distribution of microplastics and nanoplastics in the atmospheric environment, with several studies investigating the presence of microplastics in rainwater. − In Wuhan, China, the abundance of microplastics in rainwater ranged from ∼2–19 particles/L, with identified polymer types including PE, PP, PVC, PS, and other plastic particles smaller than 1 mm . However, samples collected through 37 μm pore size stainless steel mesh resulted in the loss of submicrometer and nanoplastics.…”

Section: Resultsmentioning

confidence: 99%

“…The increasing prevalence of nanoplastic particles in the environment highlights the urgent need for effective detection and monitoring strategies. − However, current sampling methods and Raman detection techniques mainly focus on plastic particles in the micrometer size range. ,,− , The challenges posed by weak signals and low SNR have not been sufficiently addressed, particularly when it comes to the specificities of nanoplastics due to their extremely small size. Therefore, further investigation of nanoplastics in the environment is necessary to gain a comprehensive understanding of plastic pollution.…”

Section: Environmental Implicationmentioning

confidence: 99%

See 1 more Smart Citation

Automatic Identification of Individual Nanoplastics by Raman Spectroscopy Based on Machine Learning

Xie

Luo

Liu

et al. 2023

Environ. Sci. Technol.

View full text Add to dashboard Cite

The increasing prevalence of nanoplastics in the environment underscores the need for effective detection and monitoring techniques. Current methods mainly focus on microplastics, while accurate identification of nanoplastics is challenging due to their small size and complex composition. In this work, we combined highly reflective substrates and machine learning to accurately identify nanoplastics using Raman spectroscopy. Our approach established Raman spectroscopy data sets of nanoplastics, incorporated peak extraction and retention data processing, and constructed a random forest model that achieved an average accuracy of 98.8% in identifying nanoplastics. We validated our method with tap water spiked samples, achieving over 97% identification accuracy, and demonstrated the applicability of our algorithm to real-world environmental samples through experiments on rainwater, detecting nanoscale polystyrene (PS) and polyvinyl chloride (PVC). Despite the challenges of processing lowquality nanoplastic Raman spectra and complex environmental samples, our study demonstrated the potential of using random forests to identify and distinguish nanoplastics from other environmental particles. Our results suggest that the combination of Raman spectroscopy and machine learning holds promise for developing effective nanoplastic particle detection and monitoring strategies.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Environmental Implicationmentioning

confidence: 99%

Automatic Identification of Individual Nanoplastics by Raman Spectroscopy Based on Machine Learning

Xie

Luo

Liu

et al. 2023

Environ. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…On the other hand, the small-sized microplastics could be more prone to accumulate in sediment and potentially migrate vertically into deeper layers in a hydrologic lake. 35 High-density microplastics deposited into the sediment quicker and deeper compared with low-density microplastics due to increased densities and reduced resuspension. 78 That could be the reason that PET appeared at 25−33 cm depth in the HML core (Figure 3A).…”

Section: Discussionmentioning

confidence: 99%

Centennial Records of Microplastics in Lake Cores in Huguangyan Maar Lake, China

Ji,

Zhang,

Xia

et al. 2024

Environ. Sci. Technol.

View full text Add to dashboard Cite

“…The microplastics deposited in the water body will also be resuspended with the disturbance of heavy rainfall, thereby increasing the horizontal movement of microplastics in the water body [45]. It was shown that sustained rainfall increases the abundance and diversity of microplastics in surface waters, while the opposite trend was observed for microplastics in sediments [46]. Rainfall intensity positively correlates with the abundance of microplastics in urban water bodies [47,48].…”

Section: Rainfallmentioning

confidence: 99%

Natural Factors of Microplastics Distribution and Migration in Water: A Review

An,

Wang,

Adnan

et al. 2024

Water

View full text Add to dashboard Cite

Microplastics are widely present worldwide and are of great concern to scientists and governments due to their toxicity and ability to serve as carriers of other environmental pollutants. The abundance of microplastics in different water bodies varied significantly, mainly attributed to the initial emission concentration of pollutants and the migration ability of pollutants. The migration process of microplastics determines the abundance, fate, and bioavailability of microplastics in water. Previous studies have proved that the physicochemical properties of water bodies and the properties of microplastics themselves are important factors affecting their migration, but the change in external environmental conditions is also one of the main factors controlling the migration of microplastics. In this paper, we focus on the effects of meteorological factors (rainfall, light, and wind) on the distribution and migration of microplastics and conclude that the influence of meteorological factors on microplastics mainly affects the inflow abundance of microplastics, the physical and chemical properties of water, and the dynamics of water. At the same time, we briefly summarized the effects of aquatic organisms, water substrates, and water topography on microplastics. It is believed that aquatic organisms can affect the physical and chemical properties of microplastics through the physical adsorption and in vivo transmission of aquatic plants, through the feeding behavior, swimming, and metabolism of animals, and through the extracellular polymers formed by microorganisms, and can change their original environmental processes in water bodies. A full understanding of the influence and mechanism of external environmental factors on the migration of microplastics is of great theoretical significance for understanding the migration law of microplastics in water and comprehensively assessing the pollution load and safety risk of microplastics in water.

show abstract

Impact of persistent rain on microplastics distribution and plastisphere community: A field study in the Pearl River, China

Cited by 26 publications

References 53 publications

Automatic Identification of Individual Nanoplastics by Raman Spectroscopy Based on Machine Learning

Automatic Identification of Individual Nanoplastics by Raman Spectroscopy Based on Machine Learning

Centennial Records of Microplastics in Lake Cores in Huguangyan Maar Lake, China

Natural Factors of Microplastics Distribution and Migration in Water: A Review

Contact Info

Product

Resources

About