Metabolomic Profiling as a Possible Reverse Engineering Tool for Estimating Processing Conditions of Dry-Cured Hams

Area of Science:

• Food Science
• Analytical Chemistry
• Metabolomics

Background:

• Dry-cured hams are widely consumed, but objective methods to link their characteristics to consumer preference are needed.
• Understanding the chemical basis of sensory properties is crucial for product development and quality control.

Purpose of the Study:

• To apply metabolomics for profiling dry-cured hams.
• To correlate metabolite profiles with observable sensory properties and consumer acceptability.

Main Methods:

• Quantitative profiling of 203 charged metabolites (amino acids, organic acids, nucleotides, peptides) using metabolomics.
• Comparative analysis of metabolite profiles based on origin and processing methods.
• Principal Component Analysis (PCA) to link metabolite data with sensory attributes.

Main Results:

• Identified and quantified 203 metabolites across 12 dry-cured ham samples from Japan and Europe.
• Metabolite profiles differed based on country of origin and processing techniques (smoking, starter cultures).
• Significant correlations were found between metabolite profiles and sensory properties: redness, homogeneity, and fat whiteness.

Conclusions:

• Metabolomics provides an objective method for evaluating dry-cured ham quality.
• The identified metabolite-sensory correlations can guide the development of new ham products with enhanced consumer appeal.
• This approach facilitates the design of dry-cured hams by objectively assessing key features.