Stefan Weckx

Prof. Dr. Stefan Weckx

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2014 in Food Microbiology
Verified
Journal Article
Closed access
LVLuc De Vuyst
Luc De Vuyst
SKS. Van Kerrebroeck
S. Van Kerrebroeck
HHH. Harth
H. Harth
GHGeert Huys
Geert Huys
HDH.-M. Daniel
H.-M. Daniel
SWStefan Weckx
Stefan Weckx

13 February 2016 in Journal of Applied Microbiology
Verified
Journal Article
Closed access
PDF file
LVLuc De Vuyst
Luc De Vuyst
SWStefan Weckx
Stefan Weckx

1 January 2017 in Applied and Environmental Microbiology
Verified
Journal Article
Closed access
PDF file
FBFlorac De Bruyn
Florac De Bruyn
SZSophia Jiyuan Zhang
Sophia Jiyuan Zhang
VPVasileios Pothakos
Vasileios Pothakos
JTJulio Torres
Julio Torres
CLCharles Lambot
Charles Lambot
LVLuc De Vuyst
Luc De Vuyst
The postharvest treatment and processing of fresh coffee cherries can impact the quality of the unroasted green coffee beans. In the present case study, freshly harvested Arabica coffee cherries were processed through two different wet and dry methods to monitor differences in the microbial community structure and in substrate and metabolite profiles. The changes were followed throughout the postharvest processing chain, from harvest to drying, by implementing up-to-date techniques, encompassing multiple-step metagenomic DNA extraction, high-throughput sequencing, and multiphasic metabolite target analysis. During wet processing, a cohort of lactic acid bacteria (i.e., Leuconostoc , Lactococcus , and Lactobacillus ) was the most commonly identified microbial group, along with enterobacteria and yeasts ( Pichia and Starmerella ). Several of the metabolites associated with lactic acid bacterial metabolism (e.g., lactic acid, acetic acid, and mannitol) produced in the mucilage were also found in the endosperm. During dry processing, acetic acid bacteria (i.e., Acetobacter and Gluconobacter ) were most abundant, along with Pichia and non- Pichia ( Candida , Starmerella , and Saccharomycopsis ) yeasts. Accumulation of associated metabolites (e.g., gluconic acid and sugar alcohols) took place in the drying outer layers of the coffee cherries. Consequently, both wet and dry processing methods significantly influenced the microbial community structures and hence the composition of the final green coffee beans. This systematic approach to dissecting the coffee ecosystem contributes to a deeper understanding of coffee processing and might constitute a state-of-the-art framework for the further analysis and subsequent control of this complex biotechnological process. IMPORTANCE Coffee production is a long process, starting with the harvest of coffee cherries and the on-farm drying of their beans. In a later stage, the dried green coffee beans are roasted and ground in order to brew a cup of coffee. The on-farm, postharvest processing method applied can impact the quality of the green coffee beans. In the present case study, freshly harvested Arabica coffee cherries were processed through wet and dry processing in four distinct variations. The microorganisms present and the chemical profiles of the coffee beans were analyzed throughout the postharvest processing chain. The up-to-date techniques implemented facilitated the investigation of differences related to the method applied. For instance, different microbial groups were associated with wet and dry processing methods. Additionally, metabolites associated with the respective microorganisms accumulated on the final green coffee beans.

1 October 2009 in Food Microbiology
Verified
Journal Article
Closed access
LVLuc De Vuyst
Luc De Vuyst
GVG. Vrancken
G. Vrancken
FRF. Ravyts
F. Ravyts
TRT. Rimaux
T. Rimaux
SWStefan Weckx
Stefan Weckx

15 November 2015 in Applied and Environmental Microbiology
Verified
Journal Article
Open access
PDF file
ARAudrey Rivière
Audrey Rivière
MGMérilie Gagnon
Mérilie Gagnon
SWStefan Weckx
Stefan Weckx
Denis RoyDenis Roy
Denis Roy
LVLuc De Vuyst
Luc De Vuyst
Arabinoxylan oligosaccharides (AXOS) are a promising class of prebiotics that have the potential to stimulate the growth of bifidobacteria and the production of butyrate in the human colon, known as the bifidogenic and butyrogenic effects, respectively. Although these dual effects of AXOS are considered beneficial for human health, their underlying mechanisms are still far from being understood. Therefore, this study investigated the metabolic interactions between Bifidobacterium longum subsp. longum NCC2705 ( B. longum NCC2705), an acetate producer and arabinose substituent degrader of AXOS, and Eubacterium rectale ATCC 33656, an acetate-converting butyrate producer. Both strains belong to prevalent species of the human colon microbiota. The strains were grown on AXOS during mono- and coculture fermentations, and their growth, AXOS consumption, metabolite production, and expression of key genes were monitored. The results showed that the growth of both strains and gene expression in both strains were affected by cocultivation and that these effects could be linked to changes in carbohydrate consumption and concomitant metabolite production. The consumption of the arabinose substituents of AXOS by B. longum NCC2705 with the concomitant production of acetate allowed E. rectale ATCC 33656 to produce butyrate (by means of a butyryl coenzyme A [CoA]:acetate CoA-transferase), explaining the butyrogenic effect of AXOS. Eubacterium rectale ATCC 33656 released xylose from the AXOS substrate, which favored the B. longum NCC2705 production of acetate, explaining the bifidogenic effect of AXOS. Hence, those interactions represent mutual cross-feeding mechanisms that favor the coexistence of bifidobacterial strains and butyrate producers in the same ecological niche. In conclusion, this study provides new insights into the bifidogenic and butyrogenic effects of AXOS.

1 August 2016 in International Journal of Food Microbiology
Verified
Journal Article
Closed access
FMFrédéric Moens
Frédéric Moens
SWStefan Weckx
Stefan Weckx
LVLuc De Vuyst
Luc De Vuyst