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Using flux balance analysis to predict methyl-mercury production by sulfate reducing bacteria

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TitleInfo
Title
Using flux balance analysis to predict methyl-mercury production by sulfate reducing bacteria
Name (type = personal)
NamePart (type = family)
Kasetty
NamePart (type = given)
Swetha Kumar
NamePart (type = date)
1993-
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Swetha Kumar Kasetty
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RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Both
NamePart (type = given)
A.J.
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A.J. Both
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Advisory Committee
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RoleTerm (authority = RULIB)
chair
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NamePart (type = family)
Barkay
NamePart (type = given)
Tamar
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Tamar Barkay
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Advisory Committee
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co-chair
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Schaefer
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Jeffra
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Jeffra Schaefer
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Advisory Committee
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internal member
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Reinfelder
NamePart (type = given)
John
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John Reinfelder
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Advisory Committee
Role
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internal member
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Rutgers University
Role
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degree grantor
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NamePart
School of Graduate Studies
Role
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school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2017
DateOther (qualifier = exact); (type = degree)
2017-10
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2017
Place
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xx
Language
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eng
Abstract (type = abstract)
Mercury (Hg) is a heavy liquid metal with high volatility. Elemental mercury can be transported around the globe and cause environmental and health problems. The primary anthropogenic sources of Hg in our atmosphere are from mining and burning fossil fuels. When Hg from the atmosphere gets deposited on the earth's surface, microorganisms biotransform it into methylmercury. Methylmercury (Me-Hg) is a potent neurotoxin and can bioaccumulate through aquatic food chains. A simulation model that can predict Me-Hg production by microorganisms could improve quantification and potentially aid in developing management strategies. Me-Hg production is carried out by anaerobic microorganisms and the production rate depends on the molecule bound to Hg. Hence working with Hg is challenging and measuring production rates is time consuming and requires the use of sophisticated equipment. Studies have shown that sulfate-reducing bacteria are major contributors in the production of Me-Hg. The sulfate-reducing microorganism Desulfovibrio desulfuricans ND 132 was used to study the rates of Me Hg when exposed to different Hg (II) concentrations. ND 132 is an organism with a hypothesized metabolic pathway for Hg methylation, and it was used to determine Hg methylation kinetics. Based on lab studies with pure cultures of ND 132, a flux balance, a mathematical approach for analyzing the flow of metabolites through a metabolic network, was developed. The resulting simulation model attempts to predict Hg methylation rates for pure culture samples and Me-Hg concentrations for environmental samples. This simplified simulation model could help with rapid quantification and hence faster management and remediation of harmful mercury emissions and depositions.
Subject (authority = RUETD)
Topic
Environmental Sciences
Subject (authority = ETD-LCSH)
Topic
Mercury
Subject (authority = ETD-LCSH)
Topic
Sulfur bacteria
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_8425
PhysicalDescription
Form (authority = gmd)
electronic resource
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application/pdf
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text/xml
Extent
1 online resource (viii, 63 p. : ill.)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Swetha Kumar Kasetty
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3QR5166
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Kasetty
GivenName
Swetha
MiddleName
Kumar
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2017-09-27 11:59:36
AssociatedEntity
Name
swetha Kasetty
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
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Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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2017-10-13T22:08:34
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2017-10-13T22:08:34
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