Remote Detection of Trichloroethylene in Soil by a Fiber-Optic Infrared Reflectance Probe

A remote detection method for measuring the infrared reflectance from chlorinated hydrocarbons in soils is demonstrated. The method uses a 12-m-long, field-ruggedized, chalcogenide fiber to transmit IR reflectance data to a remotely located FT-IR spectrometer. Minimum observable signal corresponding to 250 ppm of trichloroethylene (TCE) in sand was measured with the system. Suggestions for improving the threshold detection limit are offered.

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Determination of the characteristic limits (decision threshold, detection limit and limits of the coverage interval) for measurements of ionizing radiation. Fundamentals and application

10.3403/03103615u ◽

2019 ◽

Keyword(s):

Detection Limit ◽

Ionizing Radiation ◽

Decision Threshold ◽

Threshold Detection ◽

Coverage Interval

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Alcohol Determination by HPLC with Postcolumn Derivatization Based on the Thiosulfate-catalyzed Reaction of Alcohols and Cerium(IV) and Fluorescence Detection of Cerium(III)

Current Analytical Chemistry ◽

10.2174/1573411016999201110094656 ◽

2020 ◽

Vol 16 ◽

Author(s):

Ikko Mikami ◽

Eri Shibayama ◽

Kengo Takagi

Keyword(s):

Detection Limit ◽

Fluorescence Detection ◽

Reaction Rate ◽

Detection Method ◽

Fluorescence Detector ◽

Reaction Solution ◽

Optimum Detection ◽

Postcolumn Derivatization ◽

Sensitive Method

Background: Determination of a reducing substance based on the reaction between Ce(IV) and a reducing substance and fluorescence detection of Ce(III) generated has been reported as a selective and sensitive method. However, this method could not be applied to the determination of alcohol due to the low reaction rate of alcohol and Ce(IV). Objective: We found that thiosulfate catalytically enhanced reaction of alcohols (such as, methanol, ethanol, and propanol) and Ce(IV). Utilizing this effect, we developed a new method for the determination of alcohols. Results: In the presence of thiosulfate, an increase in fluorescence intensity was detected by injecting alcohol at concentrations of several millimolar, whereas it was not observed even at the concentration of 10% v/v (2 M for ethanol) in the absence of thiosulfate. The optimum detection conditions were determined to be 4.0 mM Ce(IV) sulfate and 0.50 mM thiosulfate, and the detection limit (S/N = 3) of ethanol under these conditions was 1 mM. In the calibration curves, changes in the slope were observed when the alcohol concentrations were approximately 10–25 mM. Using a thiosulfate solution containing ethanol as the reaction solution, a calibration curve without any change in slope was obtained, although the concentration of ethanol at the detection limit increased. The alcohols in the liquor and fuel were successfully analyzed using the proposed detection method as a postcolumn reaction. Conclusion: This new alcohol detection method using a versatile fluorescence detector can be applied to the postcolumn reaction of HPLC omitting need of time-consuming pretreatment processes.

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Synthesis of N2, N6-bis(5-methylthiazol-2-yl)pyridine-2,6-dicarboxamide fluoroscent sensor for detection of Cu2+ and Ni2+ Ions

Drug Research ◽

10.1055/a-1302-7649 ◽

2021 ◽

Author(s):

Anuroop Kumar ◽

Netrapal Singh ◽

Mordhwaj Kumar ◽

Uma Agarwal

Keyword(s):

Spectral Analysis ◽

Detection Limit ◽

Metal Ions ◽

1H Nmr Spectroscopy ◽

Stoichiometric Ratio ◽

Selective Detection ◽

Ft Ir ◽

Uv Visible ◽

Complexes With Metal Ions ◽

Competitive Ions

AbstractThis article reports an amide based Chemosensor used for selective detection of divalent Cu+2 and Ni+2 ions via Fluorescence turn off. The selective sensing ability of Chemosensor was investigated in presence of different metal ions Mg2+, Ag+, Fe2+, K+, Cu2+, Ni2+, Hg2+, Pb2+, Mn2+, Pd2+, Cd2+ and Mn3+ as competitive ions. The receptor i. e. Chemosensor formed complexes with metal ions in 1:1 stoichiometric ratio. The detection limit and binding constant calculated as 1.92×10–4 and 1.4×10–4 M and 2.16×103 M−1 and 3.09×103 M−1 for Cu2+ and Ni2+ions respectively. The complexes were characterized by UV/visible, FT-IR, 13C NMR and 1H NMR spectroscopy. Further the structure and Crystallinity were calculated by P-XRD spectral analysis. The crystallinity found to be 65.27 and 67.87% respectively

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Remote detection of fumarolic gas chemistry at Vulcano, Italy, using an FT-IR spectral radiometer

Earth and Planetary Science Letters ◽

10.1016/0012-821x(95)00119-w ◽

1995 ◽

Vol 134 (1-2) ◽

pp. 219-224 ◽

Cited By ~ 21

Author(s):

Toshiya Mori ◽

Kenji Notsu ◽

Yasunori Tohjima ◽

Hiroshi Wakita ◽

P. Mario Nuccio ◽

...

Keyword(s):

Remote Detection ◽

Gas Chemistry ◽

Ft Ir ◽

Fumarolic Gas

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Determination of the characteristic limits (decision threshold, detection limit and limits of the coverage interval) for measurements of ionizing radiation - Fundamentals and application

10.3403/30424427 ◽

2021 ◽

Keyword(s):

Detection Limit ◽

Ionizing Radiation ◽

Decision Threshold ◽

Threshold Detection ◽

Coverage Interval

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Determination of Particle Size in Powders by Scatter Correction in Diffuse Near-Infrared Reflectance

Applied Spectroscopy ◽

10.1366/0003702884429058 ◽

1988 ◽

Vol 42 (5) ◽

pp. 722-728 ◽

Cited By ~ 57

Author(s):

J. L. Ilari ◽

H. Martens ◽

T. Isaksson

Keyword(s):

Particle Size ◽

Near Infrared ◽

Scatter Correction ◽

Large Degree ◽

Chemical Compositions ◽

Infrared Reflectance ◽

Near Infrared Reflectance ◽

Analytical Technique ◽

Scattering Effects ◽

Reflectance Data

Diffuse near-infrared reflectance spectroscopy has traditionally been an analytical technique for determining chemical compositions in a sample. We will, in this paper, focus on light scattering effects and their ability to determine the mean particle sizes of powders. The reflectance data of NaCl, broken glass, and sorbitol powders are linearized and submitted to the Multiplicative Scatter Correction (MSC), and the ensuing parameters are used in subsequent multivariate calibrations. The results indicate that particle size can, to a large degree, be determined from NIR reflectance data for a given type of powder. Up to 99% of the partical size variance was explained by the regression.

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A comparison of sample preparation and calibration techniques for the estimation of nitrogen, oil and glucosinolate content of rapeseed by near infrared spectroscopy

The Journal of Agricultural Science ◽

10.1017/s0021859600043987 ◽

1985 ◽

Vol 104 (2) ◽

pp. 317-323 ◽

Cited By ~ 20

Author(s):

Carol Starr ◽

Janet Suttle ◽

A. G. Morgan ◽

D. B. Smith

Keyword(s):

Stepwise Regression ◽

Near Infrared ◽

Glucosinolate Content ◽

Infrared Reflectance ◽

Near Infrared Reflectance ◽

Reflectance Analysis ◽

Glucosinolate Concentration ◽

Forward Stepwise ◽

Calibration Techniques ◽

Reflectance Data

SummaryPredictions of nitrogen, oil and glucosinolate concentration in rapeseed samples were made by near infrared reflectance analysis after various grinding treatments. Also examined were the effects of normalizing reflectance data and the possible advantage of using all combinations of two and three wavelengths in the calibration regression analysis over forward stepwise regression. The main conclusion was that drying the samples prior to a controlled grinding treatment gave the best results, although acceptable results for selection purposes could be obtained using whole seeds to predict nitrogen and oil. None of the treatments of the seed or reflectance data allowed acceptable prediction of glucosinolate content.

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Modeling, Simulation and Control of Single Wafer Process in Cluster Tool Base on Ft-Ir In-Line Sensor

MRS Proceedings ◽

10.1557/proc-389-269 ◽

1995 ◽

Vol 389 ◽

Cited By ~ 1

Author(s):

Shaohua Liu ◽

Peter Solomon ◽

R. Carpio ◽

B. Fowler ◽

D. Simmons ◽

...

Keyword(s):

Thin Film ◽

Semiconductor Industry ◽

Current Approach ◽

Infrared Reflectance ◽

Film Properties ◽

Reflectance Measurement ◽

Infrared Spectrometer ◽

Ft Ir ◽

And Control ◽

Cluster Tool

ABSTRACTThis paper outlines our current approach to utilize infrared reflectance spectroscopy for thin film measurement in the semiconductor industry. The multi-layer thickness and doping concentration of IC wafers can be determined by a single angle, unpolarized infrared reflectance measurement performed using Fourier transform infrared spectrometer. A computer algorithm, which matches theoretical to measured infrared reflectance spectra, was successfully employed to determine multiple thin film properties.

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