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AuthorStach, Robertdc.contributor.author
AuthorPejcic, Bobbydc.contributor.author
AuthorHeath, Charlesdc.contributor.author
AuthorMyers, Matthewdc.contributor.author
AuthorMizaikoff, Borisdc.contributor.author
Date of accession2019-02-16T12:17:40Zdc.date.accessioned
Available in OPARU since2019-02-16T12:17:40Zdc.date.available
Date of first publication2018-02-14dc.date.issued
AbstractMid-infrared sensors (MIR) based on attenuated total reflection (ATR) spectroscopy provide a robust and sensitive platform for the detection of low levels of organic molecules dissolved in water. The chemical and partitioning properties of the polymer membrane play an important role and are crucial to MIR-ATR sensor performance. Although the MIR-ATR sensor has been used to quantify dissolved hydrocarbons in a wide range of aquatic environments, very little is reported on the impact of aqueous solution composition and polymer membrane aging on the hydrocarbon – polymer partitioning process. In the present study we investigated a number of factors that may affect the sensor sensitivity and analytical performance during quantification of hydrocarbons in water. Calibration curves were obtained as a function of salinity and it was revealed that the response factors are generally higher in the presence of salts. We show that reliable hydrocarbon analysis can be achieved in water provided that the sensor is calibrated using appropriate standard solutions and corrected for salinity/ionic strength variations. Sensor measurements were also performed over a range of crude oil – water mixtures, and these studies revealed that the total petroleum hydrocarbon concentration in solution (between the 0 and 20 ppm range) has a negligible effect on the analyte-polymer partitioning process. In terms of sensor durability, the polymerfilm displayed remarkable repeatability and long-term stability in water over a two-month testing period .dc.description.abstract
Languageen_USdc.language.iso
PublisherUniversität Ulmdc.publisher
LicenseStandarddc.rights
Link to license texthttps://oparu.uni-ulm.de/xmlui/license_v3dc.rights.uri
KeywordMid-infrared sensordc.subject
KeywordHydrocarbon monitoringdc.subject
KeywordHydrocarbon-polymer partitioningdc.subject
Dewey Decimal GroupDDC 540 / Chemistry & allied sciencesdc.subject.ddc
LCSHDetectorsdc.subject.lcsh
LCSHHydrocarbons; Researchdc.subject.lcsh
LCSHSalinitydc.subject.lcsh
TitleMid-infrared sensor for hydrocarbon monitoring : the Influence of salinity, matrix and aging on hydrocarbon- polymer partitioningdc.title
Resource typeWissenschaftlicher Artikeldc.type
VersionacceptedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-11880dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-11937-2dc.identifier.urn
GNDInfrarotdetektordc.subject.gnd
GNDSalzgehaltdc.subject.gnd
FacultyFakultät für Naturwissenschaftenuulm.affiliationGeneral
InstitutionInstitut für Analytische und Bioanalytische Chemieuulm.affiliationSpecific
Peer reviewjauulm.peerReview
DCMI TypeTextuulm.typeDCMI
CategoryPublikationenuulm.category
Issueuulm.issue
DOI of original publication10.1039/C7AY02874Adc.relation1.doi
Source - Title of sourceAnalytical methodssource.title
Source - Place of publicationRoyal Society of Chemistrysource.publisher
Source - Volume10source.volume
Source - Issue13source.issue
Source - Year2018source.year
Source - From page1516source.fromPage
Source - To page1522source.toPage
Source - ISSN1759-9660source.identifier.issn
Source - eISSN1759-9679source.identifier.eissn
EU projectSCHEMA / INTEGRATED IN SITU CHEMICAL MAPPING PROBES / EC / FP7 / 614002uulm.projectEU


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