東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Extraction, Analysis, and Comparison...

Sige, Austin G.

FindBook

Google Book

Amazon

博客來

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Extraction, Analysis, and Comparison of Microplastics in SC Marsh Substrates./
作者:	Sige, Austin G.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:	72 p.
附註:	Source: Masters Abstracts International, Volume: 84-06.
Contained By:	Masters Abstracts International84-06.
標題:	Marine geology. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29322036
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. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 72 p.

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

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

This item must not be sold to any third party vendors.

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.

ISBN: 9798358487772Subjects--Topical Terms:

3173821
Marine geology.
Subjects--Index Terms:

Elutriation

Extraction, Analysis, and Comparison of Microplastics in SC Marsh Substrates.
LDR:03058nmm a2200361 4500 001 2393105
005 20240116054223.5
006 m o d
007 cr#unu||||||||
008 251215s2022 ||||||||||||||||| ||eng d
020 $a 9798358487772
035 $a (MiAaPQ)AAI29322036
035 $a AAI29322036
040 $a MiAaPQ $c MiAaPQ
100 1 $a Sige, Austin G. $3 3762547
245 1 0 $a Extraction, Analysis, and Comparison of Microplastics in SC Marsh Substrates.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2022
300 $a 72 p.
500 $a Source: Masters Abstracts International, Volume: 84-06.
500 $a Advisor: Hanebuth, Till.
502 $a Thesis (M.S.)--Coastal Carolina University, 2022.
506 $a This item must not be sold to any third party vendors.
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.
590 $a School code: 1688.
650 4 $a Marine geology. $3 3173821
650 4 $a Environmental science. $3 677245
653 $a Elutriation
653 $a Marshes
653 $a Microplastics
690 $a 0556
690 $a 0768
710 2 $a Coastal Carolina University. $b College of Science. $3 3276986
773 0 $t Masters Abstracts International $g 84-06.
790 $a 1688
791 $a M.S.
792 $a 2022
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29322036