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Sequential Derivatization of Polar Organic Compounds in Cloud Water Using O-(2,3,4,5,6-Pentafluorobenzyl)hydroxylamine Hydrochloride, N, O-Bis(trimethylsilyl)trifluoroacetamide, and Gas-Chromatography/Mass Spectrometry Analysis

Descriptive

TypeOfResource
Text
TitleInfo
Title
Sequential Derivatization of Polar Organic Compounds in Cloud Water Using O-(2,3,4,5,6-Pentafluorobenzyl)hydroxylamine Hydrochloride, N, O-Bis(trimethylsilyl)trifluoroacetamide, and Gas-Chromatography/Mass Spectrometry Analysis
Genre (authority = RULIB-FS)
Article, Refereed
Genre (authority = NISO JAV)
Accepted Manuscript (AM)
Note (type = version identification)
Corrected proof of accepted manuscript
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2014
Publisher
Elsevier
Abstract (type = Abstract)
Cloud water samples from Whiteface Mountain, NY were used to develop a combined sampling and gas chromatography-mass spectrometric (GCMS) protocol for evaluating the complex mixture of highly polar organic compounds (HPOC) present in this atmospheric medium. Specific HPOC of interest were mono- and di keto-acids which are thought to originate from photochemical reactions of volatile unsaturated hydrocarbons from biogenic and manmade emissions and be a major fraction of atmospheric carbon. To measure HPOC mixtures and the individual keto-acids in cloud water, samples first must be derivatized for clean elution and measurement, and second, have low overall background of the target species as validated by GCMS analysis of field and laboratory blanks. Here, we discuss a dual derivatization method with PFBHA and BSTFA which targets only organic compounds that contain functional groups reacting with both reagents. The method also reduced potential contamination by minimizing the amount of sample processing from the field through the GCMS analysis steps. Once derivatized only gas chromatographic separation and selected ion monitoring (SIM) are needed to identify and quantify the polar organic compounds of interest. Concentrations of the detected total keto-acids in individual cloud water samples ranged from 27.8 to 329.3 ng mL-1 (ppb). Method detection limits for the individual HPOC ranged from 0.17 to 4.99 ng mL-1 and the quantification limits for the compounds ranged from 0.57 to 16.64 ng mL-1. The keto-acids were compared to the total organic carbon (TOC) results for the cloud water samples with concentrations of 0.607 to 3.350 mg L-1 (ppm). GCMS analysis of all samples and blanks indicated good control of the entire collection and analysis steps. Selected ion monitoring by GCMS of target keto-acids was essential for screening the complex organic carbon mixtures present at low ppb levels in cloud water. It was critical for ensuring high levels of quality assurance and quality control and for the correct identification and quantification of key marker compounds.
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
PhysicalDescription
InternetMediaType
application/pdf
Extent
33 p.
Subject (authority = local)
Topic
Highly polar organic compounds
Subject (authority = local)
Topic
Cloud water
Subject (authority = LCSH)
Topic
Gas chromatography
Subject (authority = LCSH)
Topic
Mass spectrometry
Subject (authority = local)
Topic
Keto-acids
Subject (authority = LCSH)
Topic
Ketonic acids
Extension
DescriptiveEvent
Type
Citation
DateTime (encoding = w3cdtf)
2014
AssociatedObject
Name
Journal of Chromatography A
Type
Journal
Relationship
Has part
Detail
16-24
Identifier (type = volume and issue)
1362
Reference (type = digital)
http://dx.doi.org/10.1016/j.chroma.2014.08.001
Extension
DescriptiveEvent
Type
Grant award
AssociatedEntity
Role
Funder
Name
New York State Energy Research and Development Authority (NYSERDA)
AssociatedEntity
Role
Originator
Name
Rutgers University
AssociatedObject
Type
Grant number
Name
#7616
AssociatedObject
Type
Grant number
Name
#10603
Name (type = personal)
NamePart (type = family)
Sagona
NamePart (type = given)
Jessica A.
Affiliation
Center for Environmental Prediction (CEP), Rutgers University
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Dukett
NamePart (type = given)
James E.
Affiliation
Adirondack Lakes Survey Corporation
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Hawley
NamePart (type = given)
Harmonie A.
Affiliation
Department of Civil and Environmental Engineering, University of Texas-Tyler
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (authority = orcid); (authorityURI = http://id.loc.gov/vocabulary/identifiers/orcid.html); (type = personal); (valueURI = http://orcid.org/0000-0003-3498-9331)
NamePart (type = family)
Mazurek
NamePart (type = given)
Monica
Affiliation
Civil and Environmental Engineering, Rutgers University
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (authority = RutgersOrg-Department); (type = corporate)
NamePart
Civil and Environmental Engineering
Name (authority = RutgersOrg-School); (type = corporate)
NamePart
School of Engineering
Name (authority = RutgersOrg-Department); (type = corporate)
NamePart
Center for Environmental Prediction (CEP)
Name (authority = RutgersOrg-School); (type = corporate)
NamePart
School of Environmental and Biological Sciences (SEBS)
RelatedItem (type = host)
TitleInfo
Title
Sagona, Jessica
Identifier (type = local)
rucore30152000001
RelatedItem (type = host)
TitleInfo
Title
Mazurek, Monica
Identifier (type = local)
rucore30126100001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3JD4V4V
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Elsevier
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