Multivariate relationships among sensory, physicochemical parameters, and targeted volatile compounds in commercial red sufus (Chinese fermented soybean curd): Comparison of QDA® and Flash Profile methods. (November 2019)

• Record Type: Journal Article
• Authors: He, Wenmeng; Chung, Hau Yin
• Is Part Of: Food research international. Volume 125(2019)
• Publication Date: 2019-11
• Subjects: Red sufu -- Quantitative descriptive analysis -- Flash profile -- SPME-GC–MS -- Multiple factor analysis -- Chemometrics -- Principal component analysis -- Pearson correlation; ethyl 2-methylpropanoate (PubChem CID:7342) -- 2, 3-butanedione (PubChem CID:650) -- ethyl butanoate (PubChem CID:7762) -- ethyl 2-methylbutanoate (PubChem CID:24020) -- ethyl 3-methylbutanoate (PubChem CID:7945) -- ethyl pentanoate (PubChem CID:10882) -- 2-heptanone (PubChem CID:8051) -- 1-hydroxy-2-propanone (PubChem CID:8299) -- ethyl heptanoate (PubChem CID:7797) -- 3-(methylthio)propanal (PubChem CID:18635) -- Benzeneacetaldehyde (PubChem CID:998) -- ethyl 3-phenylpropionate (PubChem CID:16237)(E) and (Z)-2-phenyl-2-butenal (PubChem CID:6429333) -- 2-acetylpyrrole (PubChem CID: 14079) -- dihydro-5-pentyl-2(3H)-furanone (PubChem CID:7710) -- 5-methyl-2-pentyl-2-hexenal (PubChem CID:5370602) -- ethyl palmitate (PubChem CID:12366) -- 3-phenyl-2-propenol (PubChem CID:5315892) -- ethyl oleate (PubChem CID:5363269) -- ethyl linoleate (PubChem CID:5282184); Food -- Analysis -- Periodicals; Food industry and trade -- Periodicals; Food industry and trade -- Canada -- Periodicals; Food Technology -- Periodicals; Food -- Periodicals; Food-Processing Industry -- Periodicals; Aliments -- Industrie et commerce -- Périodiques; Aliments -- Industrie et commerce -- Canada -- Périodiques; Aliments -- Recherche -- Périodiques; Food industry and trade; Canada; Periodicals; Electronic journals; 664.005
• DOI: 10.1016/j.foodres.2019.108548
• Languages: English
• ISSNs: 0963-9969

Abstract

Abstract: Selected physico- (texture and color) chemical (salt, protein, and moisture content) properties and 20 targeted volatile compounds (TVCs) from 12 commercial red sufus were investigated to identify correlations with sensory attributes obtained by either QDA or Flash Profile (FP). The intensities of 15 attributes from QDA and the ranking values of 19 attributes from FP of red sufus were evaluated, and a higher variance was generally found in the results from FP than those from QDA among the 12 samples. Principal component analysis (PCA) of TVCs showed that both the concentration and the ratio of volatile compounds influenced the flavor quality and the discrimination among the samples. Multiple factor analysis (MFA) was used to associate the sensory data from either FP or QDA with the physicochemical properties and TVCs of red sufus. The results showed that both FP and QDA data associated well with the physicochemical and TVC data, and the intensity of the sensory attributes could be predicted from the properties of red sufus. Pearson correlation coefficients between the sensory attributes (aroma/flavor) and TVCs pinpointed that a sulfur-like aroma was a key attribute in red sufus, and it might be a result of the comprehensive combination of different TVCs. The information reported here could be important for the quality control of traditional and new variants of red sufu products by providing an approach to substitute the sensory measurements with the instrumental measurements, and to strengthen the interpretation of sensory data by showing how they are affected by the physicochemical properties. Graphical abstract: Unlabelled Image Highlights: Physicochemical, sensory, TVCs and their relationships in red sufus were determined. Concentration and ratio of TVCs influenced the flavor and discrimination among red sufus. Both Flash Profile and QDA data associated well with the physicochemical and TVCs data. Sulfur-like aroma was a key attribute which correlated with many TVCs in red sufus. Flash Profile technique appeared to be an efficient alternative approach to QDA.