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Mid-infrared sensor for hydrocarbon monitoring : the Influence of salinity, matrix and aging on hydrocarbon- polymer partitioning

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Erstveröffentlichung
2018-02-14
DOI
10.18725/OPARU-11880
Wissenschaftlicher Artikel


Authors
Stach, Robert
Pejcic, Bobby
Heath, Charles
Myers, Matthew
Mizaikoff, Boris
Faculties
Fakultät für Naturwissenschaften
Institutions
Institut für Analytische und Bioanalytische Chemie
Published in
Analytical methods ; 10 (2018), 13. - S. 1516-1522. - ISSN 1759-9660. - eISSN 1759-9679
Link to original publication
https://dx.doi.org/10.1039/C7AY02874A
Peer review
ja
Document version
acceptedVersion
License
Standard
https://oparu.uni-ulm.de/xmlui/license_v3
Abstract
Mid-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 .
EU Project
SCHEMA / INTEGRATED IN SITU CHEMICAL MAPPING PROBES / EC / FP7 / 614002
Subject Headings
Infrarotdetektor [GND]
Salzgehalt [GND]
Detectors [LCSH]
Hydrocarbons; Research [LCSH]
Salinity [LCSH]
Keywords
Mid-infrared sensor; Hydrocarbon monitoring; Hydrocarbon-polymer partitioning
Dewey Decimal Group
DDC 540 / Chemistry & allied sciences

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Citation example

Stach, Robert et al. (2019): Mid-infrared sensor for hydrocarbon monitoring : the Influence of salinity, matrix and aging on hydrocarbon- polymer partitioning. Open Access Repositorium der Universität Ulm. http://dx.doi.org/10.18725/OPARU-11880

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