Multivariate Determination of Glucose in Whole Blood Using Partial Least-Squares and Artificial Neural Networks Based on Mid-Infrared Spectroscopy

By Bhandare Prashant   Mendelson Yitzhak   Peura Robert A.   Janatsch Günther   Kruse-Jarres Jürgen D.   Marbach Ralf   Heise H. Michael  

Applied Spectroscopy, Vol. 47, Iss. 8, 1993-08 ,pp. : 1214-1221

Society for Applied Spectroscopy

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Quantitative Determination of Epoxidized Soybean Oil Using Near-Infrared Spectroscopy and Multivariate Calibration

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Applied Spectroscopy, Vol. 56, Iss. 12, 2002-12 ,pp. : 1607-1614

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Noninvasive Near-Infrared Blood Glucose Monitoring Using a Calibration Model Built by a Numerical Simulation Method: Trial Application to Patients in an Intensive Care Unit

By Maruo Katsuhiko   Oota Tomohiro   Tsurugi Mitsuhiro   Nakagawa Takehiro   Arimoto Hidenobu   Hayakawa Mineji   Tamura Mamoru   Ozaki Yukihiro   Yamada Yukio  

Applied Spectroscopy, Vol. 60, Iss. 12, 2006-12 ,pp. : 1423-1431

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Comparison of multivariate calibration models for glucose, urea, and lactate from near-infrared and Raman spectra

By Ren Min   Arnold Mark  

Analytical and Bioanalytical Chemistry, Vol. 387, Iss. 3, 2007-02 ,pp. : 879-888

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Outlier Detection in the Ethylene Content Determination in Propylene Copolymer by Near-Infrared Spectroscopy and Multivariate Calibration

By Macho S.   Sales F.   Callao M. P.   Larrechi M. S.   Rius F. X.  

Applied Spectroscopy, Vol. 55, Iss. 11, 2001-11 ,pp. : 1532-1536

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