Back
  1. Home
  3. Detailled Reference
Request a copy
Unpublished conference/Abstract (Scientific congresses and symposiums)
Distinguishing between Decaffeinated and Regular Coffee by HS-SPME-GC×GC-ToF-MS, Chemometrics, and Machine Learning
Gaida, Meriem; Zou, Yun; Franchina, Flavio A. et al.
2022 • 19th International GCxGC Symposium
Peer reviewed
Permalink
https://hdl.handle.net/2268/291713
 

Files (1)Send toDetailsStatisticsBibliographySimilar publications

Files

Full Text
GCxGCsymposium-MG.pdf
Publisher postprint (56.97 kB)
Request a copy

All documents in ORBi are protected by a user license.

Send to


Details


Keywords :
Coffee, decaffeination, Chemometrics, machine Learning; two-dimensional gas chromatography
Disciplines :
Chemistry
Author, co-author :
Gaida, Meriem  ;  Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique, organique et biologique
Zou, Yun
Franchina, Flavio A.;  University of Ferrara > Department of Chemical, Pharmaceutical and Agricultural Sciences
Stefanuto, Pierre-Hugues  ;  Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique, organique et biologique
Focant, Jean-François  ;  Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique, organique et biologique
Language :
English
Title :
Distinguishing between Decaffeinated and Regular Coffee by HS-SPME-GC×GC-ToF-MS, Chemometrics, and Machine Learning
Publication date :
02 June 2022
Event name :
19th International GCxGC Symposium
Event date :
29/05/2022-02/06/2022
Audience :
International
Peer reviewed :
Peer reviewed
Name of the research project :
“Chemical Information Mining in a Complex World”
Funders :
EOS - The Excellence Of Science Program [BE]
Funding number :
30897864
Available on ORBi :
since 03 June 2022

Statistics

Number of views
75 (7 by ULiège)
Number of downloads
3 (3 by ULiège)
More statistics

Bibliography

Similar publications


Contact ORBi