Flotation separation of hazardous polyvinyl chloride towards source control of microplastics based on selective hydrophilization of plasticizer-doping surfaces

Zhang, Yingshuang; Jiang, Hongru; Bian, Kai; Wang, Hui; Wang, Chongqing

doi:10.1016/j.jhazmat.2021.127095

Cited by 19 publications

(6 citation statements)

References 63 publications

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“…PVC remains difficult to recycle because of the associated risks; for example, it potentially contains toxic chemicals that are dangerous to human health. Thus far, studies of recycling have been unable to effectively differentiate and capture specific materials or to separate PVC from plasticizers. ,, …”

Section: Classification Properties and Recycling Of Medical Plasticsmentioning

confidence: 99%

“…Thus far, studies of recycling have been unable to effectively differentiate and capture specific materials or to separate PVC from plasticizers. 30,37,56 Given these limitations, the development of a safe plasticizer and the substitution of PVC with an alternative safer plastic are critical areas of research. For nontoxic plasticizers, studies have investigated citrates, 57,58 carboxylates, 59 phosphates, 60,61 trimellitates, 62,63 and cyclohexane derivatives.…”

Section: ■ Introductionmentioning

confidence: 99%

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Sustainable Alternatives to Nondegradable Medical Plastics

Jiang,

Satoh,

Tung

et al. 2022

ACS Sustainable Chem. Eng.

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In light of the global climate crisis and commitments toward net-zero carbon emissions, this Perspective evaluates the current status of developments in recycling methods and bioplastics to identify long-term sustainable alternatives. The recycling and product application of major medical plastics, including poly(vinyl chloride) (PVC), polyethylene (PE), polypropylene (PP), and polystyrene (PS), are discussed, and their circular potential is evaluated. Researchers are actively investigating bioplastics to solve present concerns and curb the global increase in greenhouse gas (GHG) emissions from petroleum-based plastics. Current recycling methods for PE and PP can be scaled up, and bioversions of plastics, such as bio-PE and bio-PP, can be used as a long-term sustainable solutions to realize their circular potential. As an alternative to PVC and PS, materials with inefficient recycling methods, recent promising bioplastics such as polyurethane (PU) and poly(lactic acid) (PLA) have a competitive performance. Our Perspective recognizes the need for further research on issues such as integrated recycling processes and the possibility of commercializing bioplastics.

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Section: Classification Properties and Recycling Of Medical Plasticsmentioning

confidence: 99%

Section: ■ Introductionmentioning

confidence: 99%

Sustainable Alternatives to Nondegradable Medical Plastics

Jiang,

Satoh,

Tung

et al. 2022

ACS Sustainable Chem. Eng.

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“…To achieve the purification of plastic from waste washing machines, a continuous treatment process based on physical sorting and melt filtration extrusion is feasible. , Through methods such as pneumatic separation, flotation, , and photoelectric separation, impurities such as metals, PS, and ABS with a millimeter level or higher can be effectively removed. In this process, decontamination is an important step in removing residues and pollutants from the plastic components. , Choosing appropriate cleaning methods and parameters based on the characteristics and degree of pollution of plastics is crucial .…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Recycling Process of PP Plastics from Waste Washing Machines: Sustainable Strategy for Environmentally Friendly Reutilization

Dong,

Zhi,

et al. 2024

ACS Sustainable Resour. Manage.

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The resource utilization of waste plastics is an inevitable trend toward achieving sustainable social development. The plastic in waste washing machines is a highly potential source of recycling. This study developed a strategy for effectively regenerating PP plastics from waste washing machines. The optimal process parameters of friction alkali washing were determined through response surface curve analysis. Under the conditions of 280 rpm, 10 min, and pH = 12, the proportion of black spots and impurities decreased to the lowest amount of 11.69 × 10–3 wt %. Additionally, a physical sorting, granulation, and regeneration process was constructed. Large-scale data statistical analysis indicated that recycled PP plastics exhibited excellent stability of physical performance and impurity content. Meanwhile, different formulations were designed to modify and improve the physical properties of the recycled PP. This study achieved the regeneration of PP plastics from waste washing machines and provides theoretical and practical guidance for the environmentally friendly reutilization of waste plastics.

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“…In addition, other studies have attempted to categorize them. Accordingly, Fourier transform infrared (FT-IR) spectroscopy and Raman spectroscopy have been frequently used to analyze the chemical structures and identify MPs. − Recently, several integrated approaches combining image quantification and spectral identification advantages have been developed. These include focal plane array-Fourier transform infrared imaging (FPA-FT-IR imaging or μ-FT-IR hyperspectral imaging − )and laser direct infrared imaging. − Regarding integrated methods, the former has a broader range of bands but is more complex, whereas the latter is faster but more susceptible to misidentification …”

Section: Introductionmentioning

confidence: 99%

Spectral Classification of Large-Scale Blended (Micro)Plastics Using FT-IR Raw Spectra and Image-Based Machine Learning

Liu

Yao

Qin

et al. 2023

Environ. Sci. Technol.

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Microplastics (MPs) are currently recognized as emerging pollutants; their identification and classification are therefore essential during their monitoring and management. In contrast to most studies based on small datasets and library searches, this study developed and compared four machine learning-based classifiers and two large-scale blended plastic datasets, where a 1D convolutional neural network (CNN), decision tree, and random forest (RF) were fed with raw spectral data from Fourier transform infrared spectroscopy, while a 2D CNN used the corresponding spectral images as the input. With an overall accuracy of 96.43% on a small dataset and 97.44% on a large dataset, the 1D CNN outperformed other models. The 1D CNN was the best at predicting environment samples, while the RF was the most robust with less spectral data. Overall, RF and 2D CNNs might be evaluated for plastic identification with fewer spectral data; however, 1D CNNs were thought to be the most effective with sufficient spectral data. Accordingly, an open-source MP spectroscopic analysis tool was developed to facilitate a quick and accurate analysis of existing MP samples.

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Flotation separation of hazardous polyvinyl chloride towards source control of microplastics based on selective hydrophilization of plasticizer-doping surfaces

Cited by 19 publications

References 63 publications

Sustainable Alternatives to Nondegradable Medical Plastics

Sustainable Alternatives to Nondegradable Medical Plastics

Optimizing the Recycling Process of PP Plastics from Waste Washing Machines: Sustainable Strategy for Environmentally Friendly Reutilization

Spectral Classification of Large-Scale Blended (Micro)Plastics Using FT-IR Raw Spectra and Image-Based Machine Learning

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