ComDim for explorative multi-block data analysis of Cantal-type cheeses: Effects of salts, gentle heating and ripening

Abstract : Common Dimension (ComDim) chemometrics method for multi-block data analysis was employed to evaluate the impact of different added salts and ripening times on physicochemical, color, dynamic low amplitude oscillatory rheology, texture profile, and molecular structure (fluorescence and MIR spectroscopies) of five Cantal-type cheeses. Firstly, Independent Components Analysis (ICA) was applied separately on fluorescence and MIR spectra in order to extract the relevant signal source and the associated proportions related to molecular structure characteristics. ComDim was then applied on the 31 data tables corresponding to the proportion of ICA signals obtained for spectral methods and the global analysis of cheeses by the other techniques. The ComDim results indicated that generally cheeses made with 50% NaCl or with 75:25% NaCl/KCl exhibit the equivalent characteristics in structural, textural, meltability and color properties. The proposed methodology demonstrates the applicability of ComDim for the characterization of samples when different techniques describe the same samples.
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https://hal.archives-ouvertes.fr/hal-01948777
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Submitted on : Saturday, December 8, 2018 - 2:30:21 PM
Last modification on : Tuesday, May 21, 2019 - 9:30:05 AM

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M. Loudiyi, D.N. Rutledge, A. Aït-Kaddour. ComDim for explorative multi-block data analysis of Cantal-type cheeses: Effects of salts, gentle heating and ripening. Food Chemistry, Elsevier, 2018, 264, pp.401-410. ⟨10.1016/j.foodchem.2018.05.039⟩. ⟨hal-01948777⟩

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