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Extraction, Analysis, and Comparison of Microplastics in SC Marsh Substrates.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Extraction, Analysis, and Comparison of Microplastics in SC Marsh Substrates./
作者:	Sige, Austin G.
面頁冊數:	1 online resource (72 pages)
附註:	Source: Masters Abstracts International, Volume: 84-06.
Contained By:	Masters Abstracts International84-06.
標題:	Environmental science. -
電子資源:	click for full text (PQDT)
ISBN:	9798358487772

Extraction, Analysis, and Comparison of Microplastics in SC Marsh Substrates.
Sige, Austin G.

Extraction, Analysis, and Comparison of Microplastics in SC Marsh Substrates. - 1 online resource (72 pages)

Source: Masters Abstracts International, Volume: 84-06.

Thesis (M.S.)--Coastal Carolina University, 2022.

Includes bibliographical references

The global, rapid increase in plastic production is a widespread problem for coastal environments such as marshes that present favorable conditions for plastic retention. This study looked at the microplastic abundance within three previously unstudied South Carolina marshes located in Myrtle Beach, Murrells Inlet, and Waties Island. A comparison between the microplastic types and abundances between locations provided knowledge about the impacts of sediment composition (sand, silt, clay, and organic matter) on microplastic sequestration. This study also produced a novel microplastic extraction methodology for cohesive marsh sediment that used elutriation to effectively break apart aggregates prior to chemical digestion and density separation. The results of this study indicated that fine-grained sediments ( 63 μm). This was observed when the Myrtle Beach sample showed the most fine-grained sediment composition with 5 % clay, 38 % silt, and 57 % sand, and also yielded the highest quantity of microplastics with 174 red fibers, 262 blue fibers, and 100 other colored fibers extracted with a 95 % confidence to have not come from background contamination. The relationship between plastic type and sediment grain size ranges showed strong positive correlations (r ≥ 0.99) between blue (p ≤ 0.05), red (p ≤ 0.1), black (p ≤ 0.1), and other colored fibers (p ≤ 0.1) with a grain size range of 10-63 μm. Opposingly, blue (p ≤ 0.05) and other colored fibers (p ≤ 0.1) showed strong negative correlations (r ≥ -0.99) with a grain size range of > 63 μm. The data produced from this study now serves as a baseline dataset for future microplastic studies done in the marshes of Myrtle Beach, Murrells Inlet, and Waties Island, as well as studies working with cohesive material. In future studies, the implementation of FTIR spectroscopy could be used to confirm plastic polymer types and trace microplastics through sink-to-source approach.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798358487772Subjects--Topical Terms:

1179128
Environmental science.
Subjects--Index Terms:

ElutriationIndex Terms--Genre/Form:

554714
Electronic books.

Extraction, Analysis, and Comparison of Microplastics in SC Marsh Substrates.
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520 $a The global, rapid increase in plastic production is a widespread problem for coastal environments such as marshes that present favorable conditions for plastic retention. This study looked at the microplastic abundance within three previously unstudied South Carolina marshes located in Myrtle Beach, Murrells Inlet, and Waties Island. A comparison between the microplastic types and abundances between locations provided knowledge about the impacts of sediment composition (sand, silt, clay, and organic matter) on microplastic sequestration. This study also produced a novel microplastic extraction methodology for cohesive marsh sediment that used elutriation to effectively break apart aggregates prior to chemical digestion and density separation. The results of this study indicated that fine-grained sediments ( 63 μm). This was observed when the Myrtle Beach sample showed the most fine-grained sediment composition with 5 % clay, 38 % silt, and 57 % sand, and also yielded the highest quantity of microplastics with 174 red fibers, 262 blue fibers, and 100 other colored fibers extracted with a 95 % confidence to have not come from background contamination. The relationship between plastic type and sediment grain size ranges showed strong positive correlations (r ≥ 0.99) between blue (p ≤ 0.05), red (p ≤ 0.1), black (p ≤ 0.1), and other colored fibers (p ≤ 0.1) with a grain size range of 10-63 μm. Opposingly, blue (p ≤ 0.05) and other colored fibers (p ≤ 0.1) showed strong negative correlations (r ≥ -0.99) with a grain size range of > 63 μm. The data produced from this study now serves as a baseline dataset for future microplastic studies done in the marshes of Myrtle Beach, Murrells Inlet, and Waties Island, as well as studies working with cohesive material. In future studies, the implementation of FTIR spectroscopy could be used to confirm plastic polymer types and trace microplastics through sink-to-source approach.
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