Spectroscopic Measurement of Water Using an Electrostatic Transducer with Near-infrared Absorber

2021 ◽  
Vol 141 (9) ◽  
pp. 321-326
Author(s):  
Takamasa Suzuki ◽  
Kota Nakafuji ◽  
Akio Uesugi ◽  
Koji Sugano ◽  
Yoshitada Isono
Keyword(s):  
Near Infrared ◽  
Spectroscopic Measurement

scholarly journals IRTS: Infrared Telescope in Space

1990 ◽  
Vol 123 ◽  
pp. 215-222
Author(s):  
Toshio Matsumoto
Keyword(s):  
Focal Plane ◽  
Near Infrared ◽  
Space Shuttle ◽  
Spectroscopic Measurement ◽  
Small Space ◽  
Valuable Data ◽  
Infrared Telescope ◽  
Wide Wavelength Range ◽  
Infrared Sources ◽  
Very High

AbstractIRTS is a small cryogenically cooled telescope onboard the small space platform SFU (Space Flyer Unit). SFU will be launched with the new Japanese HII rocket on January 1994 and retrieved by the space shuttle.The IRTS telescope has an aperture of only 15 cm diameter, but is optimized to observe diffuse extended infrared sources. Four focal plane instruments are being developed under collaboration between Japan and the U.S.A. IRTS covers a wide wavelength range from near-infrared to submillimeter region, and has a capability for the spectroscopic measurement. Due to newly developed detectors, the sky will be surveyed with very high sensitivities. IRTS will provide valuable data on cosmology, galactic structure, cosmic dust, etc.

scholarly journals Near infrared spectroscopic measurement of strain in rocks

2019 ◽  
Vol 27 (6) ◽  
pp. 432-440
Author(s):  
Emily Butcher ◽  
Andrew Gibson ◽  
Philip M Benson ◽  
Nick Koor ◽  
Gareth Swift
Keyword(s):  
Infrared Spectroscopy ◽  
Longitudinal Strain ◽  
Near Infrared ◽  
Target Surface ◽  
Spectroscopic Measurement ◽  
Materials Testing ◽  
Excellent Correlation ◽  
Surface Measurements ◽  
Measurement Surface ◽  
Contact Sensors

The measurement of strain is a fundamental and widely studied parameter in engineering, rock mechanics, construction and materials testing. Contact sensors often used in these fields require contact with the target surface throughout the duration of a strain event. Non-contact methods typically require that that the measurement surface is prepared and often coated prior to testing. This paper considers the potential application of near infrared spectroscopy as a non-contact technique for the measurement of strain on natural surfaces. Excellent correlation was found between surface measurements of visible-NIR spectra and longitudinal strain taken during indirect Brazilian Disc Test for samples of sandstone, marble and basalt.

Near-Infrared Spectroscopic Measurement of Lactate in Human Plasma

2000 ◽  
Vol 54 (2) ◽  
pp. 300-304 ◽  
Author(s):  
Denis Lafrance ◽  
Larry C. Lands ◽  
Laura Hornby ◽  
David H. Burns
Keyword(s):  
Infrared Spectroscopy ◽  
Human Plasma ◽  
Near Infrared Spectroscopy ◽  
Standard Error ◽  
Near Infrared ◽  
Rapid Analysis ◽  
Spectroscopic Measurement ◽  
Physiological Status ◽  
Clinical Use ◽  
Plasma Samples

A method based on near-infrared spectroscopy (NIRS) is presented, which provides a rapid analysis of lactate in plasma. In order to test the technique, NIRS analysis and enzymatic measurements were made on plasma samples taken from exercising humans. A correlation coefficient of 0.995 and a standard error of 0.51 mmol/L were found between the enzymatic and the NIR results. This standard error is within the range needed for real-time monitoring of lactate in plasma for exercising studies. In the future, this technique may provide a valuable tool to assess physiological status for research and clinical use.

Temperature-Insensitive Near-Infrared Spectroscopic Measurement of Glucose in Aqueous Solutions

1994 ◽  
Vol 48 (4) ◽  
pp. 477-483 ◽  
Author(s):  
Kevin H. Hazen ◽  
Mark A. Arnold ◽  
Gary W. Small
Keyword(s):  
Spectral Range ◽  
Near Infrared ◽  
Spectroscopic Measurement ◽  
Calibration Model ◽  
Pls Regression ◽  
Absorption Bands ◽  
Single Beam ◽  
Fourier Filtering ◽  
Experimental Parameters ◽  
Analytical Utility

A digital Fourier filter is combined with partial least-squares (PLS) regression to generate a calibration model for glucose that is insensitive to sample temperature. This model is initially created by using spectra collected over the 5000 to 4000 cm−1 spectral range with samples maintained at 37°C. The analytical utility of the model is evaluated by judging the ability to determine glucose concentrations from a set of prediction spectra. Absorption spectra in this prediction set are obtained by ratioing single-beam spectra collected from solutions at temperatures ranging from 32 to 41°C to reference spectra collected at 37°C. The temperature sensitivity of the underlying water absorption bands creates large baseline variations in prediction spectra that are effectively eliminated by the Fourier filtering step. The best model provides a mean standard error of prediction across temperatures of 0.14 mM (2.52 mg/dL). The benefits of the Fourier filtering step are established, and critical experimental parameters, such as number of PLS factors, mean and standard deviation for the Gaussian shaped Fourier filter, and spectral range, are considered.

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