A Study on the Universality of a Calibration with Sample Temperature Compensation

Abe, Hideyuki; Iyo, Chie; Kawano, Seiji

doi:10.1255/jnirs.281

Cited by 17 publications

(12 citation statements)

References 1 publication

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“…The easiest method to correct for these effect is to perform a stepwise MLR procedure combined with an exhaustive calibration. 15 However, Abe concluded in his study 16 that MLR will not al-ways be adequate for a complete temperature compensation. Other approaches were also proposed, such has continuous piecewise direct standardisation 17 or multivariate calibration standardisation.…”

Section: Introductionmentioning

confidence: 95%

Correction of the Temperature Effect on near Infrared Calibration—Application to Soluble Solid Content Prediction

Chauchard

Roger

Maurel

2004

Journal of Near Infrared Spectroscopy

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Non-destructive fruit quality assessment in packing houses can be carried out using near infrared spectroscopy. However, the prediction performance can be affected by measurement conditions ("external parameters"), such as temperature or variation in stray light. In this work we propose a methodology to reduce the effect of the fruit temperature on sugar content prediction. Two approaches were used to correct for the temperature effect depending on whether the temperature is measurable or not. In the case of measurable temperature, three methods were tested. The first uses a spectrum correction while the second and third are based on regression coefficients which vary with temperature. In case of non-measurable temperature, the studies have led to robust calibration models and to a self-correcting model (where fruit temperature is estimated using spectral data). All techniques were tested with "Golden Delicious" apples. Our study has shown that the most efficient models remove the temperature from the spectral space. These methodologies can be used to minimise other external parameters in NIR calibration.

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Section: Introductionmentioning

confidence: 95%

Correction of the Temperature Effect on near Infrared Calibration—Application to Soluble Solid Content Prediction

Chauchard

Roger

Maurel

2004

Journal of Near Infrared Spectroscopy

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“…Kawano et al (52) investigated the influence of a change in sample temperature on the predicted Brix values of peaches, and Abe et al (53) studied the universality of a calibration with sample temperature compensation of the calibration model for Brix. Barboza and Poppi (54) reported a method of temperature correction by the calibration transfer method using the calibration model for alcohol content.…”

Section: Prediction Of Ethylene Content In Melt State Random and Blocmentioning

confidence: 99%

A Review of Online Real-Time Process Analyses of Melt-State Polymer Using the Near-Infrared Spectroscopy and Chemometrics

Watari

2013

Applied Spectroscopy Reviews

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This review describes the online process monitoring of the melt-state polymer by near-infrared (NIR) spectroscopy and chemometrics. The spectra of linear low-density polyethylene (LLDPE), random polypropylene (RPP), block polypropylene (BPP), and ethylene-vinylacetate (EVA) copolymer in melt states measured by an online monitoring system with a Fourier transform near-infrared spectrometer are discussed. The calibration models for the density of LLDPE, the content of ethylene copolymers in RPP and BPP, and vinylacetate concentration (VA) in EVA copolymers using partial least squares regression are reported. The continuous monitoring of the LLDPE density at the real plant is described as an example of online monitoring using NIR spectroscopy and chemometrics. For the precise prediction of VA in EVA, a combination method using regression and discrimination was inducted. Three compensation methods for the effect of the temperature change in the RPP and BPP samples are shown. Conventional calibration transfer methods are introduced, and a practical calibration transfer method using two samples and its performance are reported using BPP and RPP spectra. Moreover, the possibility of a calibration correction method using one sample for the realization of long-term traceability is indicated by the example of the relocation.

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“…Other influencing phenomena are embedded into the product as for instance, fruit variety, oil origin, crop season, etc. Product temperature is certainly the most studied parameter in NIR and MIR calibrations ( [7], [8], [9], [10], [11], [12]). …”

Section: Robustness Of Nir Modelsmentioning

confidence: 99%

EPO–PLS external parameter orthogonalisation of PLS application to temperature-independent measurement of sugar content of intact fruits

Roger¹,

Chauchard²,

Maurel³

2003

Chemometrics and Intelligent Laboratory Systems

276

193

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To cite this version:J.M. Roger, F. Chauchard, V. Bellon Maurel. EPO-PLS external parameter orthogonalisation of PLS application to temperature-independent measurement of sugar content of intact fruits. Chemometrics and Intelligent Laboratory Systems, Elsevier, 2003, 66 (2), p. 191 -p. 204 AbstractNIR spectrometry would present a high potential for online measurement if the robustness of multivariate calibration was improved. The lack of robustness notably appears when an external parameter varies -e.g. the product temperature. This paper presents a preprocessing method which aims at removing from the X space the part mostly influenced by the external parameter variations. This method estimates this parasitic subspace by computing a PCA on a small set of spectra measured on the same objects, while the external parameter is varying. An application to the influence of the fruit temperature on the sugar content measurement of intact apples is presented. Without any preprocessing, the bias in the sugar content prediction was about 8 o Brix for a temperature variation of 20 o C. After EPO preprocessing the bias is not more than 0.3 o Brix, for the same temperature range. The parasitic subspace is studied by analysing the b-coefficient of a PLS between the temperature and the influence spectra. Further work will be achieved to apply this method to the case of multiple external parameters and to the calibration transfer issue.

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A Study on the Universality of a Calibration with Sample Temperature Compensation

Cited by 17 publications

References 1 publication

Correction of the Temperature Effect on near Infrared Calibration—Application to Soluble Solid Content Prediction

Correction of the Temperature Effect on near Infrared Calibration—Application to Soluble Solid Content Prediction

A Review of Online Real-Time Process Analyses of Melt-State Polymer Using the Near-Infrared Spectroscopy and Chemometrics

EPO–PLS external parameter orthogonalisation of PLS application to temperature-independent measurement of sugar content of intact fruits

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