2006
DOI: 10.1016/j.foodres.2005.12.002
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Feasibility study of discriminating the manufacturing process and sampling zone in ripened soft cheeses using attenuated total reflectance MIR and fiber optic diffuse reflectance VIS–NIR spectroscopy

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Cited by 44 publications
(21 citation statements)
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References 32 publications
(34 reference statements)
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“…Data arrangement [19] for combined-PLS: X-block: virgin olive oil spectra data have been arranged in two ways by taking NIR and MIR absorbances as columns, yielding the X-matrix (the X-matrix data constituted the independent set of variables).…”
Section: Concatenated Matrixmentioning
confidence: 99%
“…Data arrangement [19] for combined-PLS: X-block: virgin olive oil spectra data have been arranged in two ways by taking NIR and MIR absorbances as columns, yielding the X-matrix (the X-matrix data constituted the independent set of variables).…”
Section: Concatenated Matrixmentioning
confidence: 99%
“…In a second step, all the spectral collection recorded on the studied milk samples renneted at 30 and 40°C by using fluorescence or turbiscan were pooled into one matrix which was analysed again by PCA (Karoui, Mouazen, Ramon, Schoonheydt, & De Baerdemaeker, 2006a). The objective of this new analysis was to determine the trajectory of the investigated milks together throughout rennet-induced coagulation according to both heat treatment and rennet coagulation temperature.…”
Section: Mathematical Analyses Of Datamentioning
confidence: 99%
“…MIR spectroscopy was widely employed (Pillonel et al 2003;Pillonel and Bosset 2004;Karoui et al 2004Karoui et al , 2005aPicque et al 2004). Karoui et al (2006b) outlined the feasibility of discriminating the manufacturing process and sampling zone in ripened soft cheeses using ATR MIR (3,000-900 cm −1 ) and reflectance NIR (315-1,700 nm) spectroscopy. This paper gives a good comparison of the two spectroscopic techniques used on the same cheese samples.…”
Section: Nir Vs Mir Spectroscopy For Determining Cheese Authenticitymentioning
confidence: 99%