Tracking the metabolite footprint of four lactic acid bacteria in semiskimmed milk: A chemometric analysis

This study aimed to evaluate the strain‐specific fermentative behaviour and metabolite footprint of four Lactobacillus spp., in 48‐h fermented milks. Technological properties (net cell growth, pH and lactic acid production), exopolysaccharides (EPS), short‐chain fatty acids (SCFAs), α‐amino acids and peptides <3 kDa were determined and evaluated by chemometrics. Inter‐strain differences were attributed to technological properties, SCFAs and D ‐mannose/galactose/arabinose production. Three clusters (technological properties, EPS and SCFA production) were confirmed by Pearson's correlation and hierarchical clustering and principal component analysis explained 61% of LAB's differential fermentative behaviour. Post hoc chemometric analysis is useful to select LAB with better post‐ and paraprobiotic potential.

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Publication Details

Journal
International Journal of Dairy Technology
Published
2024-08-05
DOI
https://doi.org/10.1111/1471-0307.13127
Citations
4
Primary Topic
Probiotics and Fermented Foods
Type
article
Field-Weighted Citation Impact
1.39

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article

Tracking the metabolite footprint of four lactic acid bacteria in semiskimmed milk: A chemometric analysis

Belinda Vallejo‐Córdoba, Verónica Mata‐Haro, Aarón F. González‐Córdova, Adrián Hernández‐Mendoza et al.
4 citations
International Journal of Dairy Technology
Probiotics and Fermented Foods
1.39
article

Tracking the metabolite footprint of four lactic acid bacteria in semiskimmed milk: A chemometric analysis

Belinda Vallejo‐Córdoba, Verónica Mata‐Haro, Aarón F. González‐Córdova, Adrián Hernández‐Mendoza, R. Sigala-Robles, Abraham Wall‐Medrano, María del Carmen Estrada‐Montoya, Lourdes Santiago‐López, María J. Torres‐Llanez
article en
4 citations

Abstract

This study aimed to evaluate the strain‐specific fermentative behaviour and metabolite footprint of four Lactobacillus spp., in 48‐h fermented milks. Technological properties (net cell growth, pH and lactic acid production), exopolysaccharides (EPS), short‐chain fatty acids (SCFAs), α‐amino acids and peptides <3 kDa were determined and evaluated by chemometrics. Inter‐strain differences were attributed to technological properties, SCFAs and D ‐mannose/galactose/arabinose production. Three clusters (technological properties, EPS and SCFA production) were confirmed by Pearson's correlation and hierarchical clustering and principal component analysis explained 61% of LAB's differential fermentative behaviour. Post hoc chemometric analysis is useful to select LAB with better post‐ and paraprobiotic potential.

International Journal of Dairy TechnologyVol. 77(4)
Universidad Autónoma de Ciudad Juárez (MX), Centro de Investigación en Alimentación y Desarrollo (MX)
Consejo Nacional de Ciencia y Tecnología
Industry, innovation and infrastructure
Openalex Percentile: Top 20%
Probiotics and Fermented Foods
1.39
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