Chemometrics-driven monitoring of cheese ripening: A multimodal spectroscopic and scanning electron microscopy investigation.

Abstract

The integration of spectroscopic techniques with chemometrics offers a means to monitor quality changes in dairy products throughout processing and storage. This study employed Attenuated Total Reflectance–Mid-Infrared Spectroscopy (ATR–MIR) coupled with independent components analysis (ICA), and 3D Front-Face Fluorescence Spectroscopy (FFFS) paired with Common Components and Specific Weight Analysis (CCSWA). The research focused on Cheddar cheeses aged for 1, 2, 3, and 5 years, alongside Comté cheeses aged for 6, 9, and 12 months. The adopted approach offered valuable insights into the intricate cheese aging process within the food matrix. The ICA proportions and CCSWA scores highlighted the significant impact of biochemical transformations during maturation on the aging process. The extracted independent components (ICs) revealed variations in the vibration modes of amides, lipids, amino acids, and organic acids, facilitating the distinction between different cheese age categories. Additionally, CCSWA outcomes identified age-related differences through shifts in tryptophan fluorescence characteristics as the cheeses aged. These results were consistent with the observed alterations in the microstructure of cheese samples over time, corroborated by Scanning Electron Microscopy (SEM) imagery. The introduced multimodal methodology serves as a significant asset for determining the ripening stage of various types of cheese, offering a detailed perspective of cheese maturation beneficial to the dairy industry and researchers.

Supplementary files

Article information

Article type
Paper
Submitted
02 Apr 2024
Accepted
13 May 2024
First published
13 May 2024

Anal. Methods, 2024, Accepted Manuscript

Chemometrics-driven monitoring of cheese ripening: A multimodal spectroscopic and scanning electron microscopy investigation.

H. Abi Rizk, D. Bouveresse , J. Chamberland and C. B.Y. CORDELLA, Anal. Methods, 2024, Accepted Manuscript , DOI: 10.1039/D4AY00609G

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