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Volatile Compounds Selection via Quantile Correlation and Composite Quantile Correlation: A Whiting Case Study 被引量:1

Volatile Compounds Selection via Quantile Correlation and Composite Quantile Correlation: A Whiting Case Study
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摘要 The freshness and quality indices of whiting (Merlangius merlangus) influenced by a large number of chemical volatile compounds, are here analyzed in order to select the most relevant compounds as predictors for these indices. The selection process was performed by means of recent statistical variable selection methods, namely robust model-free feature screening, based on quantile correlation and composite quantile correlation. On the one hand, compounds 2-Methyl-1-butanol, 3-Methyl-1-butanol, Ethanol, Trimethylamine, 3-Methyl butanal, 2-Methyl-1-propanol, Ethylacetate, 1-Butanol and 2,3-Butanedione were identified as major predictors for the freshness index and on the other hand, compounds 3-Methyl-1-butanol, 2-Methyl-1- butanol, Ethanol, 3-Methyl butanal, 3-Hydroxy-2-butanone, 1-Butanol, 2,3-Butane- dione, 3-Pentanol, 3-Pentanone and 2-Methyl-1-propanol were identified as major predictors for the quality index. The freshness and quality indices of whiting (Merlangius merlangus) influenced by a large number of chemical volatile compounds, are here analyzed in order to select the most relevant compounds as predictors for these indices. The selection process was performed by means of recent statistical variable selection methods, namely robust model-free feature screening, based on quantile correlation and composite quantile correlation. On the one hand, compounds 2-Methyl-1-butanol, 3-Methyl-1-butanol, Ethanol, Trimethylamine, 3-Methyl butanal, 2-Methyl-1-propanol, Ethylacetate, 1-Butanol and 2,3-Butanedione were identified as major predictors for the freshness index and on the other hand, compounds 3-Methyl-1-butanol, 2-Methyl-1- butanol, Ethanol, 3-Methyl butanal, 3-Hydroxy-2-butanone, 1-Butanol, 2,3-Butane- dione, 3-Pentanol, 3-Pentanone and 2-Methyl-1-propanol were identified as major predictors for the quality index.
作者 Ibrahim Sidi Zakari Assi N’guessan Alexandre Dehaut Guillaume Duflos Ibrahim Sidi Zakari;Assi N’guessan;Alexandre Dehaut;Guillaume Duflos(Department of Mathematics and Computer Science, Abdou Moumouni University, Niamey, Niger;Paul Painlevé Laboratory, UMR CNRS 8524, Lille 1 University, Lille, France;ANSES, Laboratoire de Sécurité des Aliments Département des Produits de la Pêche et de l’Aquaculture, Boulevard du Bassin Napoléon, Boulogne-Sur-Mer, France)
出处 《Open Journal of Statistics》 2016年第6期995-1002,共9页 统计学期刊(英文)
关键词 Volatile Compounds Freshness and Spoilage Indices Quantile Correlation Composite Quantile Correlation Sure Independence Screening Volatile Compounds Freshness and Spoilage Indices Quantile Correlation Composite Quantile Correlation Sure Independence Screening
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