Micro-plastic pollution in marine, freshwater and soil environment: a research and patent analysis

Dike, Sangita; Apte, Sayali; Tiwari, Amit Kumar

doi:10.1007/s13762-021-03782-5

Cited by 5 publications

(3 citation statements)

References 66 publications

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“…The ecotoxicity of composite surfaces on metal test plates was determined using methods standard in eco-microbiology [44][45][46][47][48][49] on model systems with the typical intestinal microflora of humans and animals. The following microorganisms were used as test cultures in the model systems: probiotic strains of Lactobacillus acidophilus derived from the probiotic preparation Acidophilus Plus-Solgar (manufactured by Solgar, Inc., Leonia, NJ, USA); the Bifidobacterium bifidum strain, isolated from the probiotic preparation "Bifidumbacterinum-Biopharma" (manufacturer PJSC "BIOPHARMA", Kyiv, Ukraine); and the Escherichia coli strain isolated from the aquatic environment in vitro.…”

Section: Ecotoxicity Test Methodsmentioning

confidence: 99%

Ecotoxicity Study of New Composite Materials Based on Epoxy Matrix DER-331 Filled with Biocides Used for Industrial Applications

et al. 2022

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The impact of fillers in the epoxy oligomer on the test culture of the marine ecosystem was investigated. The content of additive—biocides—was selected based on the complex research using STAT-GRAPHICS® Centurion XVI. The ecotoxicity of composite surfaces was determined in model systems using methods which are standard in eco-microbiology. The microorganism was identified by studying morphological, cultural, biochemical, and antigenic properties. Studies of the structure and the microrelief of the surfaces of composite materials were conducted using scanning electron microscopy (SEM) and X-ray energy dispersive spectroscopy. Based on comprehensive research, it was established that the composition of oxytetracycline with content of q = 1.5 wt% and nanosilver with a content of q = 0.075 wt% per 100 wt% of the DER-331 oligomer and 10 parts by the mass of the TETA hardener ensures the formation of a porous nano-heterogeneous structure of the coating, which leads to the acceleration of the release of silver ions from the surface of the polymer. The rational content of the complex additives of biocides ensures adhesion to the cell wall of bacteria with subsequent penetration into it and subsequent change to the cell membrane, its death, and, therefore, the suppression of the fouling process of metal structures.

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Section: Ecotoxicity Test Methodsmentioning

confidence: 99%

Ecotoxicity Study of New Composite Materials Based on Epoxy Matrix DER-331 Filled with Biocides Used for Industrial Applications

et al. 2022

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“…The amount of waste being generated and deposited in the sea or on the seashore must, however, be taken into consideration while making efforts to remedy the problem. The research and patent landscape indicate that further research and investigations are indeed required for the identification, treatment, characterization, and removal of microplastics from the ecosystem (Dike et al, 2022). The growing accumulation of microplastic contamination is an issue of worldwide concern (Dike et al, 2023).…”

Section: Sources Of Beach Wastementioning

confidence: 99%

Machine learning approach for automated beach waste prediction and management system: A case study of Mumbai

Apte

Sandbhor²,

Kulkarni³

et al. 2023

Front. Mech. Eng.

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Asia’s coastlines are choking in waste. The region is now home to many of the world’s most polluted beaches. The populous Indian Cities are growing economically but in an unsustainable manner. With Mumbai counted among topmost polluted beaches in the world, it is the need of the hour to take necessary steps for effective waste management by systematic data analysis for deriving useful information from waste generation patterns. The major objective of the study is pattern recognition and beach waste quantum prediction based on 5 years data, with a frequency of daily waste collection. The size of the training data set is 1,661 days and the validation data set is 335 days. The influence of population trend, waste generation during festivals, special days, weekends, and seasonal variations form the basis for the analysis. Using machine learning algorithms, the study identifies and investigates data patterns for the case study of Dadar-Mahim beach. Data frequency and weights are correlated with occurrence of events, festivals, weekends, and seasons. Exploratory Data Analysis (EDA) is employed for data preprocessing and wrangling, followed by a Random Forest algorithm-based model for the prediction of waste generated at Dadar-Mahim beach. The major challenges in data prediction are limited data availability and variation in the dates of festivals and holidays as well as lack of waste segregation information. Despite the above-mentioned challenges, the observations indicate the model’s average accuracy for making predictions of around 60%. The Graphic User Interface (GUI) developed based on the model provides a user-friendly application for predicting the total daily generation of beach waste with reasonable precision. On the basis of the model’s outcome and applicability, a schematic approach for efficient beach waste management is proposed. The recommendations would serve as guidelines for Urban Local Bodies (ULBs) to automate the collection, transport, and disposal of beach waste.

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“…Plastics are synthetic or semisynthetic organic polymers of varied chemical compositions [ 1 ]. It has been estimated that each year, over 9.5 million tons of plastics are dumped into the ocean [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Effect of High-Density Polyethylene Microplastics on the Survival and Development of Eastern Oyster (Crassostrea virginica) Larvae

Bhatt,

Fan,

Liu

et al. 2023

IJERPH

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Microplastic (MP) pollution is a growing global concern—especially in estuarine areas that serve as natural habitats and nurseries for many marine organisms. One such marine organism is the Eastern oyster (Crassostrea virginica), which is a reef-forming keystone species in the Chesapeake Bay, the largest estuary in the United States. To understand the potential impacts of MP pollution on the estuary ecosystem, the effects of high-density polyethylene (HDPE) MPs on Eastern oyster larval survival and development were investigated. Three cohorts of larvae were exposed to HDPE MPs with a size of 10–90 µm at a 10 mg/L concentration, after 7 to 11 days of fertilization. After exposure, the number and size of oyster larvae were measured twice a week for approximately 2 weeks until larval settlement. The experiment found that there were no significant differences in the rate of survival between the control and MP-addition treatments. However, we noticed that larval development was significantly delayed with the MP treatment. The percentage of larvae that were ready to settle was 64% with the control treatment compared to 43.5% with the MP treatment. This delay in growth resulted in a delayed larval settlement, which could adversely affect the survival of the Eastern oyster due to the increased risk of predation. The current study demonstrates that MPs could be a risk to the ecology of estuaries, and plastic pollution management is needed for the preservation of these estuaries.

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Micro-plastic pollution in marine, freshwater and soil environment: a research and patent analysis

Cited by 5 publications

References 66 publications

Ecotoxicity Study of New Composite Materials Based on Epoxy Matrix DER-331 Filled with Biocides Used for Industrial Applications

Ecotoxicity Study of New Composite Materials Based on Epoxy Matrix DER-331 Filled with Biocides Used for Industrial Applications

Machine learning approach for automated beach waste prediction and management system: A case study of Mumbai

Effect of High-Density Polyethylene Microplastics on the Survival and Development of Eastern Oyster (Crassostrea virginica) Larvae

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