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Comparative Analysis of Non-targeted and Suspect-Screening High Resolution Mass Spectrometry for Hydroponic Soybeans in Different Irrigation Sources.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Comparative Analysis of Non-targeted and Suspect-Screening High Resolution Mass Spectrometry for Hydroponic Soybeans in Different Irrigation Sources./
作者:	Brecht, Sarah Ashley.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	71 p.
附註:	Source: Masters Abstracts International, Volume: 81-11.
Contained By:	Masters Abstracts International81-11.
標題:	Agriculture. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28004220
ISBN:	9798643182726

Comparative Analysis of Non-targeted and Suspect-Screening High Resolution Mass Spectrometry for Hydroponic Soybeans in Different Irrigation Sources.
Brecht, Sarah Ashley.

Comparative Analysis of Non-targeted and Suspect-Screening High Resolution Mass Spectrometry for Hydroponic Soybeans in Different Irrigation Sources. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 71 p.

Source: Masters Abstracts International, Volume: 81-11.

Thesis (M.Sc.)--North Carolina State University, 2020.

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

Water scarcity increases the likelihood of using municipal wastewater to irrigate human food crops worldwide and poses potential risks of regulated and non-regulated organic chemical uptake to edible plant tissues. Previous studies have used targeted analytical approaches to quantify chemicals of concern (COCs) in food crops, but only a few studies have used high resolution mass spectrometry (HRMS) for non-targeted analysis (NTA) and suspect-screening analyses (SSA) to analyze food crops irrigated with wastewater. To our knowledge, this is the first study to compare COCs in a food crop using different irrigation sources. Soybeans (Glycine max) were hydroponically grown with secondary-treated municipal wastewater effluent, surface water, ground water, and Ionic Grow™ to compare the number of chemical features and types of tentatively identified chemicals in soybean roots, shoots, and beans from each water source. Each water source was analyzed by solid-phase extraction as well as using a composite integrative passive sampler (CIPS) that was placed in the source water during the length of the experiment. The NTA and SSA followed established methods of data processing using the USEPA Distributed Structure-Searchable Toxicity database (DSSATox), the CompTox Chemicals Dashboard and finally the ToxCast database. All irrigation water sources produced soybeans with beans except the two groundwater sources. Wastewater, downstream surface water, and Ionic Grow™ sources produced the most biomass and had the greatest water use. Reference Ionic Grow™ and downstream surface water sources, not wastewater, had the greatest number of chemical features and suspect-screening chemicals in soybeans. Wastewater and downstream surface water had a higher number of ToxCast chemicals, although the number of ToxCast chemicals was not significantly different across irrigation sources. The major chemical classes in soybean roots, shoots, and beans were hormones/pharmaceuticals and personal care products, industrial chemicals (plasticizers, flame retardants, dyes), and multiple classes. Beans had high abundance of multiple class ToxCast chemicals for all irrigation sources, with downstream surface water and Ionic Grow having the highest total abundance and number of chemicals. Beans grown in wastewater had 15 ToxCast chemicals (same as downstream surface water) but had a much lower total abundance. The COCs tentatively detected in CIPS were more similar to beans rather than roots, shoots, or water sources. These findings highlight the ubiquity of COCs in water sources and potential use of CIPS samplers to screen COC uptake to food crops.

ISBN: 9798643182726Subjects--Topical Terms:

518588
Agriculture.
Subjects--Index Terms:

Water scarcity

Comparative Analysis of Non-targeted and Suspect-Screening High Resolution Mass Spectrometry for Hydroponic Soybeans in Different Irrigation Sources.
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520 $a Water scarcity increases the likelihood of using municipal wastewater to irrigate human food crops worldwide and poses potential risks of regulated and non-regulated organic chemical uptake to edible plant tissues. Previous studies have used targeted analytical approaches to quantify chemicals of concern (COCs) in food crops, but only a few studies have used high resolution mass spectrometry (HRMS) for non-targeted analysis (NTA) and suspect-screening analyses (SSA) to analyze food crops irrigated with wastewater. To our knowledge, this is the first study to compare COCs in a food crop using different irrigation sources. Soybeans (Glycine max) were hydroponically grown with secondary-treated municipal wastewater effluent, surface water, ground water, and Ionic Grow™ to compare the number of chemical features and types of tentatively identified chemicals in soybean roots, shoots, and beans from each water source. Each water source was analyzed by solid-phase extraction as well as using a composite integrative passive sampler (CIPS) that was placed in the source water during the length of the experiment. The NTA and SSA followed established methods of data processing using the USEPA Distributed Structure-Searchable Toxicity database (DSSATox), the CompTox Chemicals Dashboard and finally the ToxCast database. All irrigation water sources produced soybeans with beans except the two groundwater sources. Wastewater, downstream surface water, and Ionic Grow™ sources produced the most biomass and had the greatest water use. Reference Ionic Grow™ and downstream surface water sources, not wastewater, had the greatest number of chemical features and suspect-screening chemicals in soybeans. Wastewater and downstream surface water had a higher number of ToxCast chemicals, although the number of ToxCast chemicals was not significantly different across irrigation sources. The major chemical classes in soybean roots, shoots, and beans were hormones/pharmaceuticals and personal care products, industrial chemicals (plasticizers, flame retardants, dyes), and multiple classes. Beans had high abundance of multiple class ToxCast chemicals for all irrigation sources, with downstream surface water and Ionic Grow having the highest total abundance and number of chemicals. Beans grown in wastewater had 15 ToxCast chemicals (same as downstream surface water) but had a much lower total abundance. The COCs tentatively detected in CIPS were more similar to beans rather than roots, shoots, or water sources. These findings highlight the ubiquity of COCs in water sources and potential use of CIPS samplers to screen COC uptake to food crops.
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