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

Analytical and Bioanalytical Chemistry

Volumn 387, Issue 2, 2007, Pages 603-611

  Li, Bo Yan ^a,b   Kasemsumran, Sumaporn ^c   Hu, Yun ^a   Liang, Yi Zeng ^b   Ozaki, Yukihiro ^a  

^a KWANSEI GAKUIN UNIVERSITY   (Japan)

^b CENTRAL SOUTH UNIVERSITY   (China)

^c KASETSART UNIVERSITY   (Thailand)

Author keywords

Globulin; Glucose; Human serum albumin; Moving window partial least squares regression (MWPLSR); Secured principal component regression (sPCR)

Indexed keywords

BLOOD; GLUCOSE; INFRARED SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

Γ-GLOBULIN; HUMAN SERUM ALBUMIN; MOVING WINDOW PARTIAL LEAST SQUARES REGRESSION (MWPLSR); SECURED PRINCIPAL COMPONENT REGRESSION (SPCR);

PROTEINS;

BUFFER; GLUCOSE; IMMUNOGLOBULIN; SERUM ALBUMIN;

ARTICLE; CALIBRATION; GLUCOSE BLOOD LEVEL; HUMAN; METHODOLOGY; MULTIVARIATE ANALYSIS; NEAR INFRARED SPECTROSCOPY; REGRESSION ANALYSIS;

BLOOD GLUCOSE; BUFFERS; CALIBRATION; GAMMA-GLOBULINS; GLUCOSE; HUMANS; LEAST-SQUARES ANALYSIS; MULTIVARIATE ANALYSIS; SERUM ALBUMIN; SPECTROSCOPY, NEAR-INFRARED;

EID: 33846105087     PISSN: 16182642     EISSN: 16182650     Source Type: Journal    
DOI: 10.1007/s00216-006-0977-1     Document Type: Article

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