Comparison of performance of partial least squares regression, secured principal component regression, and modified secured principal component regression for determination of human serum albumin, γ-globulin and glucose in buffer solutions and in vivo blood glucose quantification by near-infrared spectroscopy-Reference-Cited by-同舟云学术

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Comparison of performance of partial least squares regression, secured principal component regression, and modified secured principal component regression for determination of human serum albumin, γ-globulin and glucose in buffer solutions and in vivo blood glucose quantification by near-infrared spectroscopy

Published:2006-12-15 Issue:2 Volume:387 Page:603-611
ISSN:1618-2642
Container-title:Analytical and Bioanalytical Chemistry
language:en
Short-container-title:Anal Bioanal Chem

Author:

Li Bo-Yan,Kasemsumran Sumaporn,Hu Yun,Liang Yi-Zeng,Ozaki Yukihiro

Publisher

Springer Science and Business Media LLC

Subject

Biochemistry,Analytical Chemistry

Link

http://link.springer.com/content/pdf/10.1007/s00216-006-0977-1.pdf

Reference42 articles.

1. Hall JW, Pollard A (1993) Clin Biochem 26:483–490

2. Norris KH, Kuenstner JT (1995) Leaping ahead with near infrared spectroscopy. Royal Australian Chemical Institute, Melbourne

3. Hazen KH, Arnold MA, Small GW (1998) Anal Chim Acta 371:255–267

4. Heise HM, Marbach R, Bitter A (1998) J Near Infrared Spec 6:361–374

5. Hall JW, Pollard A (1992) Clin Biochem 38:1623–1631

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