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Infrared fiber optic sensor for petroleum

Article Abstract:

A silver halide fiber optic sensor for measuring the spectra of petroleum has been developed. The sensor consists of a silver halide fiber optic with a refractive index of 2.2, a spectrometer and a fiber optic interface accessory. It was used in measuring the evanescent wave spectra of crude oils fom four different sources. The measured spetcra were classified by means of the principal component analysis technique and the Mix-Match search algorithm. Results show that the proposed sensor is very useful for oil prospecting activities.

Author: Ge, Zhengfang, Brown, Chris W.
Publisher: American Chemical Society
Publication Name: Environmental Science & Technology
Subject: Science and technology
ISSN: 0013-936X
Year: 1995
Equipment and supplies, Petroleum, Sensors, Natural gas exploration, Oil and gas exploration, Petroleum exploration

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On-site detection of TNT with a portable fiber optic biosensor

Article Abstract:

On-site detection of trinitrotoluene in groundwater at two military installations was successfully conducted using an antibody-based portable fiber optic biosensor which can monitor four optical probes simultaneously. The fiber optic biosensor was used to analyze samples from monitoring wells at the Umatilla Army Depot and the Naval Submarine Base Bangor. It was able to detect 20 (micro)g/L of the explosive in less than 16 minutes, simultaneously on four probes.

Author: Shriver-Lake, Lisa C., Ligler, Frances S., Donner, Brian L.
Publisher: American Chemical Society
Publication Name: Environmental Science & Technology
Subject: Science and technology
ISSN: 0013-936X
Year: 1997
Process control instruments, Instruments and Related Products Manufacturing for Measuring, Displaying, and Controlling Industrial Process Variables, Photoelectric Sensors, Analysis, Evaluation, Biosensors, Explosives, Photodetectors

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Quantitative monitoring of volatile organic compounds in water using an evanescent fiber optic chemical sensor

Article Abstract:

The two linear chemometric algorithms, principle component regression and partial least-squares analysis, proved efficient in modeling the responses of an evanescent fiber optic chemical sensor used in the quantitative monitoring of volatile organic compounds such as toluene and chloroform in water. Both chemometric algorithms yielded similar results from a given data set with cross-validated root mean squared errors of prediction for the organic compounds.

Author: Blair, Dianna S., Bando, Jeanne
Publisher: American Chemical Society
Publication Name: Environmental Science & Technology
Subject: Science and technology
ISSN: 0013-936X
Year: 1998
Research and Development in the Physical, Engineering, and Life Sciences, Water Pollution Control R&D, Measurement, Water pollution, Organic compounds, Water pollution research

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Subjects list: Research
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