The ways to the trace level analysis in infrared spectroscopy

Gonzálvez, Ana Bernabéu; Garrigues, Salvador; Guárdia, Miguel de la; Armenta, Sergio

doi:10.1039/c0ay00437e

Cited by 29 publications

(17 citation statements)

References 105 publications

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“…http://dx.doi.org/10.1016/j.orggeochem.2012.11.011 and quantification in geochemical fluids (Mizaikoff, 2003;Pejcic et al, 2009b;Gonzalvez et al, 2011). Due to its inherent selectivity the ATR-FTIR has been successfully used to detect a wide variety of organic compounds such as phenols (Yang and Cheng, 2001), caffeine (Alcudia-Leon et al, 2008), organophosphonates (Bryant et al, 2007), adamantane , alkyl halides (Acha et al, 2000;Yang and Ramesh, 2005), aromatic hydrocarbons (Karlowatz et al, 2004;Pejcic et al, 2009a;Young et al, 2011), and for the detection of oil-in-water as well as water-in-oil (Luzinova et al, 2012a,b).…”

Section: Introductionmentioning

confidence: 99%

Direct quantification of aromatic hydrocarbons in geochemical fluids with a mid-infrared attenuated total reflection sensor

Pejcic

Boyd

Ross

et al. 2013

Organic Geochemistry

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Section: Introductionmentioning

confidence: 99%

Direct quantification of aromatic hydrocarbons in geochemical fluids with a mid-infrared attenuated total reflection sensor

Pejcic

Boyd

Ross

et al. 2013

Organic Geochemistry

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“…It is based on waveguide-assisted evanescent field absorption spectroscopy in the mid-infrared (MIR; 3-15 m) spectral regime. Several studies [3,4,5] revealed that a portable MIR is unaffected by salinity, turbidity and natural organic matter/organic pollutants. Hence, while the fundamental feasibility of this analysis concept has been demonstrated by the UULM [6] team and others, a miniaturized submersible sensing module remained to be developed.…”

Section: Optical Detection Of Organic Pollutants: Detection Of Harmentioning

confidence: 99%

FP7-OCEAN-2013 — SCHeMA: Integrated in situ chemical mapping probes

Waeber¹,

Bakker²,

Nardin³

et al. 2015

OCEANS 2015 - Genova

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Coastal areas are vulnerable ecosystems comprising unique biological niches that require protection. Identification of relevant types of hazards at the appropriate temporal and spatial scale is crucial to detect their sources and origin, to understand the processes governing their magnitude and distribution, and to ultimately evaluate and manage their risks and consequences preventing economic losses. SCHeMA aims to provide an open and modular sensing solution for autonomous in situ high resolution mapping of a range of anthropogenic and natural chemical compounds coupled to master bio-physicochemical parameters. User-friendly data discovery, access and download as well as interoperability with other projects will be achieved via dedicated interface compatible with INSPIRE and GEO/GEOSS standards and principles.

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“…Attenuated total reflection (ATR)-IR sensors have been used to measure traces of organic compounds in water, mainly for environmental applications [35][36][37][38][39][40][41][42][43]. These systems employ a thin polymer film [38,[40][41][42] or sol gel layer [39,43] to absorb organic compounds, concentrating the analyte in the evanescence sensing region, and enabling limits of detection in the low ppm and in some cases ppb range.…”

Section: Introductionmentioning

confidence: 99%

Raman system for sensitive and selective identification of volatile organic compounds

Park

Mercer-Smith

et al. 2015

Sensors and Actuators B: Chemical

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a b s t r a c tAnalysis of volatile organic compounds (VOCs) for medical and industrial applications typically requires complex and expensive mass spectrometric systems to achieve the desired sensitivity and specificity. Raman spectroscopy enables specific compound identification based on distinct spectral fingerprints but traditionally has low sensitivity. We have developed a novel Raman system that provides VOC detection in the low ppm range. VOCs from the gas phase are absorbed and enriched in a thin polymer film coated on the surface of an optical sensor element. The VOC enriched polymer film is probed with evanescent wave excitation and optimized Raman signal collection. The herein described Raman sensor is low-cost, robust, readily manufacturable, and capable of providing high sensitivity without the nanostructured sensors required for surface enhanced Raman spectroscopy. To suppress background noise and interfering spectral features while improving our ability to resolve VOC mixture spectra, we applied two-dimensional (2D) correlation analysis to time series spectra acquired during VOC absorption into the polymer film. We established proof of principle through analysis of known VOC biomarkers for selected bacterial pathogens. The system enabled VOC detection with significantly higher sensitivity than commercial Raman probes. We observed good agreement between spectra of VOCs in the thin film obtained after 2D correlation analysis, and of pure VOCs using a commercial probe. Mixture spectra were further de-convoluted based on the off-diagonal peaks observable in the 2D Raman spectrum in conjunction with segmented data analysis. We anticipate that this system can be applied to a variety of medical, industrial, and biodefense applications.

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The ways to the trace level analysis in infrared spectroscopy

Cited by 29 publications

References 105 publications

Direct quantification of aromatic hydrocarbons in geochemical fluids with a mid-infrared attenuated total reflection sensor

Direct quantification of aromatic hydrocarbons in geochemical fluids with a mid-infrared attenuated total reflection sensor

FP7-OCEAN-2013 — SCHeMA: Integrated in situ chemical mapping probes

Raman system for sensitive and selective identification of volatile organic compounds

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The ways to the trace level analysis in infrared spectroscopy

Cited by 29 publications

References 105 publications

Direct quantification of aromatic hydrocarbons in geochemical fluids with a mid-infrared attenuated total reflection sensor

Direct quantification of aromatic hydrocarbons in geochemical fluids with a mid-infrared attenuated total reflection sensor

FP7-OCEAN-2013 &#x2014; SCHeMA: Integrated in situ chemical mapping probes

Raman system for sensitive and selective identification of volatile organic compounds

Contact Info

Product

Resources

About

FP7-OCEAN-2013 — SCHeMA: Integrated in situ chemical mapping probes