Augmented visualization by computer vision and chromatographic fingerprinting on comprehensive two-dimensional gas chromatographic patterns: Unraveling diagnostic signatures in food volatilome
Andrea Caratti(University of Turin), Chiara Cordero(University of Turin), Simone Squara(University of Turin), G. Borreani(University of Turin), Daniel Geschwender(GC Image (United States)), Francesco Ferrero(University of Turin), Carlo Bicchi(University of Turin), Qingping Tao(GC Image (United States)), Stephen E. Reichenbach(University of Nebraska–Lincoln)
Cited by 23
Related Papers
Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies
|Molecular Nutrition & Food Research|2018|238
Boosting comprehensive two-dimensional chromatography with artificial intelligence: Application to food-omics
|TrAC Trends in Analytical Chemistry|2024|42
Artificial Intelligence decision-making tools based on comprehensive two-dimensional gas chromatography data: the challenge of quantitative volatilomics in food quality assessment
|Journal of Chromatography A|2023|31
Extending the breadth of saliva metabolome fingerprinting by smart template strategies and effective pattern realignment on comprehensive two-dimensional gas chromatographic data
|Analytical and Bioanalytical Chemistry|2023|13