Effects of multiplicative scatter correction on a calibration model of near infrared spectral analysis

Guangxue Jingmi Gongcheng/Optics and Precision Engineering

Volumn 13, Issue 1, 2005, Pages 53-58

  Zhao, Qiang ^a   Zhang, Gong Li ^a   Chen, Xing Dan ^a,b  

^a JINAN UNIVERSITY   (China)

^b CHANGCHUN INSTITUTE OF OPTICS   (China)

Author keywords

Factor; Model; Multiplicative scatter correction; Near infrared spectroscopy; Partial least squares

Indexed keywords

CALIBRATION; CORRELATION METHODS; INFRARED SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

CALIBRATION MODELS; CORRELATION ANALYSIS; CROSS VALIDATION; MULTIPLICATIVE SCATTER CORRECTION (MSC); NEAR INFRARED SPECTRA (NIRS); PARTIAL LEAST SQUARES (PLS); ROOT MEAN SQUARE (RMS);

SPECTRUM ANALYSIS;

EID: 15944369299     PISSN: 1004924X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. WILLIAMS P, NORRIS K. Near-infrared technology in the agricultural and food industries [M]. Published by the American Association of Cereal Chemists, Inc. St. Paul, Minnesota, USA, Second Edition, 2001.
2. REEVES J B, MCCARTY G W. Quantitative analysis of agricultural soils using near infrared reflectance spectroscopy and a fiber-optic probe [J]. Journal of Near Infrared Spectroscopy., 2001, (9): 25-34.
3. FENG X L, SHI Y G. Application of near infrared spectroscopy technology in analysis of oil products [M]. Beijing: China Petrochemical Press, 2002. (in Chinese)
4. MCCLURE W F, CROWELL B. Near infrared technology for precision environmental measurements [J]. Journal of Near Infrared Spectroscopy., 2002, (10): 177-185.
5. ISAKSSON T, NARBO G, RUKKE E O. In-line determination of moisture in margarine, using near infrared diffuse transmittance [J]. Journal of Near Infrared Spectroscopy., 2001, (9): 11-18.
6. LU W ZH, YUAN H F. Modern near infrared Spectroscopy analysis technology [M]. Beijing: China Petrochemical Press, 2001. (in Chinese)
7. GELADI P, MACDOUGALL D, MARTENS H. Linearization and scatter-correction for near-infrared reflectance spectra of meat [J]. Appl. Spectrosc., 1985, 39(3): 491-500.
8. LATTIN J M, DOUGLAS C J. Analyzing multivariate data [M]. China Machine Press, 2003.
9. HAALAND D M, THOMAS E V. Partial least-squares methods for spectral analyses [J]. Anal. Chem. 1988, 60(11): 1193-1217.
10. MCSHANE M J, COTE G L, SPIEGELMAN C H. Assessment of partial least-squares calibration and wavelength selection for complex near-infrared spectra [J]. Appl. Spectrosc., 1998, 52(6): 878-884.
11. ZHANG L. Partial least-squares method for calibration with NIR spectrophotometer [J]. Optics and Precision Engineering, 2000, 8(3): 238-241. (in Chinese)
12. VITEZSLAV C, JORGE V A. Comparison of multivariate calibration techniques applied to experimental NIR data sets [J]. Appl. Spectrosc., 2000, 54(4): 608-623.
13. MARTENS H, NAES T. Multivariate calibration [M]. Wiley, New York, 1989.
14. LI B B, MORRIS J, MARTIN E B. Model selection for partial least squares regression [J]. Chemom. Intell. Lab. Syst., 2002, 64: 79-89.
15. FEUDALE R N, WOODY N A. Transfer of multivariate calibration models: a review [J]. Chemom. Intell. Lab. Syst., 2002, 64: 181-192.