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Construction of an online reduced-spectrum NIR calibration model from full-spectrum data

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Standard Standard

Construction of an online reduced-spectrum NIR calibration model from full-spectrum data. / Dodds, S.A.; Heath, W.P.
In: Chemometrics and Intelligent Laboratory Systems, Vol. 76, No. 1, 28.03.2005, p. 37-43.

Research output: Contribution to journal › Article › peer-review

HarvardHarvard

Dodds, SA & Heath, WP 2005, 'Construction of an online reduced-spectrum NIR calibration model from full-spectrum data', Chemometrics and Intelligent Laboratory Systems, vol. 76, no. 1, pp. 37-43. https://doi.org/10.1016/j.chemolab.2004.09.002

APA

Dodds, S. A., & Heath, W. P. (2005). Construction of an online reduced-spectrum NIR calibration model from full-spectrum data. Chemometrics and Intelligent Laboratory Systems, 76(1), 37-43. https://doi.org/10.1016/j.chemolab.2004.09.002

CBE

Dodds SA, Heath WP. 2005. Construction of an online reduced-spectrum NIR calibration model from full-spectrum data. Chemometrics and Intelligent Laboratory Systems. 76(1):37-43. https://doi.org/10.1016/j.chemolab.2004.09.002

MLA

Dodds, S.A. and W.P. Heath. "Construction of an online reduced-spectrum NIR calibration model from full-spectrum data". Chemometrics and Intelligent Laboratory Systems. 2005, 76(1). 37-43. https://doi.org/10.1016/j.chemolab.2004.09.002

VancouverVancouver

Dodds SA, Heath WP. Construction of an online reduced-spectrum NIR calibration model from full-spectrum data. Chemometrics and Intelligent Laboratory Systems. 2005 Mar 28;76(1):37-43. Epub 2004 Oct 19. doi: 10.1016/j.chemolab.2004.09.002

Author

Dodds, S.A. ; Heath, W.P. / Construction of an online reduced-spectrum NIR calibration model from full-spectrum data. In: Chemometrics and Intelligent Laboratory Systems. 2005 ; Vol. 76, No. 1. pp. 37-43.

RIS

TY - JOUR

T1 - Construction of an online reduced-spectrum NIR calibration model from full-spectrum data

AU - Dodds, S.A.

AU - Heath, W.P.

PY - 2005/3/28

Y1 - 2005/3/28

N2 - Near infrared (NIR) spectroscopy offers rapid and nondestructive estimation to a wide range of industries, but its acceptance has been slowed by the high costs of long-term use of full-spectrum instrumentation. From examining the terms produced in multivariate calibration of this full-spectrum data, it is possible to identify influential wavelengths, using either the regression vector b or a series of estimation prognostic vectors c, which is proposed in this paper. Once these wavelengths have been identified, the full-spectrum probe can be replaced with a series of monochromators, which is more commercially viable. In this paper, online NIR absorbance data from a pilot scale food extruder is used to estimate downstream product quality attributes (PQAs) via a full-spectrum calibration model followed by a reduced-spectrum model.

AB - Near infrared (NIR) spectroscopy offers rapid and nondestructive estimation to a wide range of industries, but its acceptance has been slowed by the high costs of long-term use of full-spectrum instrumentation. From examining the terms produced in multivariate calibration of this full-spectrum data, it is possible to identify influential wavelengths, using either the regression vector b or a series of estimation prognostic vectors c, which is proposed in this paper. Once these wavelengths have been identified, the full-spectrum probe can be replaced with a series of monochromators, which is more commercially viable. In this paper, online NIR absorbance data from a pilot scale food extruder is used to estimate downstream product quality attributes (PQAs) via a full-spectrum calibration model followed by a reduced-spectrum model.

U2 - 10.1016/j.chemolab.2004.09.002

DO - 10.1016/j.chemolab.2004.09.002

M3 - Erthygl

VL - 76

SP - 37

EP - 43

JO - Chemometrics and Intelligent Laboratory Systems

JF - Chemometrics and Intelligent Laboratory Systems

IS - 1

ER -