Removals of Polyethylene Terephthalate (PET) Nanoplastics from an Activated Sludge: Improvement of Yields by Ni-Cu-C Nanocomposite

In this study, the maximum polyethylene terephthalate (PET) nanoplastics (NPs) removal efficiency was investigated under optimum conditions by using various experimental parameters to improve the removal efficiency by using Ni-Cu-C NCs in an activated sludge solution. The effect of increasing pH values (4.0, 5.0, 6.0, 7.0 and 8.0), increasing adsorption times (30 min, 60 min, 90 min and 120 min), different Ni-Cu-C NCs adsorbent concentrations (100 mg/l, 200 mg/l, 300 mg/l and 400 mg/l) and different PET NPs concentrations (1 mg/l, 5 mg/l, 10 mg/l and 15 mg/l) on the adsorption yields of PET NPs was investigated in an activated sludge process during adsorption process. The characteristics of the synthesized Ni-Cu-C NCs were assessed using XRD, FTIR, FESEM, EDX and HRTEM analyses. ANOVA statistical analysis was used for all experimental samples. In order to remove 10 mg/l PET NPs with yields as high 99.20% and 99.42% in an activated sludge process via adsorption; the Ni-Cu-C NCs adsorbent concentration, adsorption time, pH and temperature should be 300 mg/l, 120 min, 7.0 and at 25oC, respectively. Adsorption process; it is an easily applicable, environmentally friendly and economical method.

Authors

Institutions

Publication Details

Journal
International Journal of Chemical Engineering and Materials
Published
2024-11-29
DOI
https://doi.org/10.37394/232031.2024.3.10
Citations
1
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
0.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Removals of Polyethylene Terephthalate (PET) Nanoplastics from an Activated Sludge: Improvement of Yields by Ni-Cu-C Nanocomposite

Deli̇a Teresa Sponza, Ruki̇ye Özteki̇n
1 citations
International Journal of Chemical Engineering and Materials
Microplastics and Plastic Pollution
0.13
article

Removals of Polyethylene Terephthalate (PET) Nanoplastics from an Activated Sludge: Improvement of Yields by Ni-Cu-C Nanocomposite

Deli̇a Teresa Sponza, Ruki̇ye Özteki̇n
article en
1 citations

Abstract

In this study, the maximum polyethylene terephthalate (PET) nanoplastics (NPs) removal efficiency was investigated under optimum conditions by using various experimental parameters to improve the removal efficiency by using Ni-Cu-C NCs in an activated sludge solution. The effect of increasing pH values (4.0, 5.0, 6.0, 7.0 and 8.0), increasing adsorption times (30 min, 60 min, 90 min and 120 min), different Ni-Cu-C NCs adsorbent concentrations (100 mg/l, 200 mg/l, 300 mg/l and 400 mg/l) and different PET NPs concentrations (1 mg/l, 5 mg/l, 10 mg/l and 15 mg/l) on the adsorption yields of PET NPs was investigated in an activated sludge process during adsorption process. The characteristics of the synthesized Ni-Cu-C NCs were assessed using XRD, FTIR, FESEM, EDX and HRTEM analyses. ANOVA statistical analysis was used for all experimental samples. In order to remove 10 mg/l PET NPs with yields as high 99.20% and 99.42% in an activated sludge process via adsorption; the Ni-Cu-C NCs adsorbent concentration, adsorption time, pH and temperature should be 300 mg/l, 120 min, 7.0 and at 25oC, respectively. Adsorption process; it is an easily applicable, environmentally friendly and economical method.

International Journal of Chemical Engineering and MaterialsVol. 3
Dokuz Eylül University (TR)
Responsible consumption and production, Life in Land
Openalex Percentile: Top 59%
Microplastics and Plastic Pollution
0.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.