2020
DOI: 10.1038/s41598-020-58193-2
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Discrimination of rosé wines using shotgun metabolomics with a genetic algorithm and MS ion intensity ratios

Abstract: A rapid Ultra performance Liquid chromatography coupled with Quadrupole/time of flight Mass Spectrometry (UpLc-Qtof-MS) method was designed to quickly acquire high-resolution mass spectra metabolomics fingerprints for rosé wines. An original statistical analysis involving ion ratios, discriminant analysis, and genetic algorithm (GA) was then applied to study the discrimination of rosé wines according to their origins. After noise reduction and ion peak alignments on the mass spectra, about 14 000 different sig… Show more

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Cited by 19 publications
(10 citation statements)
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“…GA is typically used to control the results of the precise population for solving various steep/complicated models based on optimal training. In recent years, GA is implemented in the shotgun metabolomics [ 29 ], wellhead back pressure control system [ 30 ], bearing fault diagnosis of induction motors [ 31 ], energy efficient clustered wireless sensor networks [ 32 ], beam deflection monitoring systems [ 33 ], adjustment problem of sensor acquisition frequency [ 34 ], image processing optimization tasks [ 35 ], and torque adjustment for the ankle push-off in the walking bipedal robots [ 36 ]. The optimization performance in terms of efficiency, accuracy, and viability of GAs is further enhanced by introducing the concept of hybridization with efficient local search.…”
Section: Methodsmentioning
confidence: 99%
“…GA is typically used to control the results of the precise population for solving various steep/complicated models based on optimal training. In recent years, GA is implemented in the shotgun metabolomics [ 29 ], wellhead back pressure control system [ 30 ], bearing fault diagnosis of induction motors [ 31 ], energy efficient clustered wireless sensor networks [ 32 ], beam deflection monitoring systems [ 33 ], adjustment problem of sensor acquisition frequency [ 34 ], image processing optimization tasks [ 35 ], and torque adjustment for the ankle push-off in the walking bipedal robots [ 36 ]. The optimization performance in terms of efficiency, accuracy, and viability of GAs is further enhanced by introducing the concept of hybridization with efficient local search.…”
Section: Methodsmentioning
confidence: 99%
“…In our application 44 , 45 , solutions are subsets (combinations) of the immunological markers (the features) mentioned above. Specifically, the mutation randomly alters a solution by feature addition, removal or substitution.…”
Section: Methodsmentioning
confidence: 99%
“…Analyses were performed using the same UPLC system and method, as described in Gil et al [ 24 ] with slight modifications. The binary mobile phase consisted of Milli-Q water (solvent A) and acetonitrile (solvent B) both acidified with 0.1% formic acid.…”
Section: Methodsmentioning
confidence: 99%