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

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

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Construction of an online reduced-spectrum NIR calibration model from full-spectrum data. / Dodds, S.A.; Heath, W.P.
Yn: Chemometrics and Intelligent Laboratory Systems, Cyfrol 76, Rhif 1, 28.03.2005, t. 37-43.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

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

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

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Dodds, S.A. ; Heath, W.P. / Construction of an online reduced-spectrum NIR calibration model from full-spectrum data. Yn: Chemometrics and Intelligent Laboratory Systems. 2005 ; Cyfrol 76, Rhif 1. tt. 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 -