Analysis, Classification and Prediction of Volatile Flavor Components in Milk Powders for Different Age Groups

被引:1
|
作者
Ye M. [1 ]
Li R. [1 ]
Jiang Z. [1 ,2 ]
Wang Y. [1 ]
Tan J. [1 ]
Tang S. [1 ]
机构
[1] College of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin
[2] School of Food Engineering, Tianjin Tianshi College, Tianjin
来源
Shipin Kexue/Food Science | 2022年 / 43卷 / 16期
关键词
Electronic nose based on ultra-fast gas chromatography; Linear discriminant analysis; Linear support vector machine; Milk powder; Volatile flavor components;
D O I
10.7506/spkx1002-6630-20210807-097
中图分类号
学科分类号
摘要
An electronic nose based on ultra-fast gas chromatography (UFGC E-nose) was used to analyze the volatile flavor components of 24 samples of whole milk powder for infants, students, adults and middle-aged and elderly people. The aroma characteristics of milk powders for different age groups were classified and predicted by linear discriminant analysis (LDA)and linear support vector machine (LSVM). The results showed that a total of 54 volatile flavor components were detected in all samples, among which 37 components were common to these samples including propionaldehyde, acetone, hexanal, and caproic acid. Methyl propionate and 1-octen-3-one were exclusively found in infant milk powder. (E, E)-2, 4-Decadienal and γ-unsecalactone were unique to students' milk powder. Heptanal was detected only in adult milk powder. 2-Butanone and benzaldehyde were only found in middle-aged and elderly milk powder. In total, 23 volatile components contributing to the aroma were identified according to their relative odor activity values and aroma radar map, and 10 of them were the key aroma compounds in milk powders for the four age groups, all of which had milky, vegetable-like, fruity, flowery, grassy, caramel-like and tar-like aromas. In addition, infant milk powder had a characteristic apricot kernel-like aroma. The sensory evaluation results showed that the flavor of students' milk powder and adult milk powder was better than that of infant milk powder and middle-aged and elderly milk powder, which was significantly different from the aroma radar map results. The classification and prediction accuracy of LDA and LSVM for milk powder for different age groups were 93.3%and 94.2%, respectively. © 2022, China Food Publishing Company. All right reserved.
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页码:242 / 252
页数:10
相关论文
共 30 条
  • [1] MAGAN J B, TOBIN J T, O'CALLAGHAN T F, Et al., Physicochemical properties of whole milk powder derived from cows fed pasture or total mixed ration diets, Journal of Dairy Science, 102, 11, pp. 9611-9621, (2019)
  • [2] PARK C W, DRAKE M A., The effect of homogenization pressure on the flavor and flavor stability of whole milk powder, Journal of Dairy Science, 100, 7, pp. 5195-5205, (2017)
  • [3] CLARKE H J, MANNION D T, O'SULLIVAN M G, Et al., Development of a headspace solid-phase microextraction gas chromatography mass spectrometry method for the quantification of volatiles associated with lipid oxidation in whole milk powder using response surface methodology, Food Chemistry, 292, 15, pp. 75-80, (2019)
  • [4] WHETSTINE M E C, DRAKE M A., The flavor and flavor stability of skim and whole milk powders, Flavor of dairy products, pp. 217-251, (2007)
  • [5] BIOLATTO A, GRIGIONI G, IRURUETA M, Et al., Seasonal variation in the odour characteristics of whole milk powder, Food Chemistry, 103, 3, pp. 960-967, (2007)
  • [6] WISNIEWSKA P, SLIWINSKA M, DYMERSKI T, Et al., Comparison of an electronic nose based on ultrafast gas chromatography, comprehensive two-dimensional gas chromatography, and sensory evaluation for an analysis of type of whisky, Journal of Chemistry, 2017, pp. 1-13, (2017)
  • [7] KARAKAYA D, ULUCAN O, TURKAN M., Electronic nose and its applications: a survey, International Journal of Automation and Computing, 17, 2, pp. 179-209, (2020)
  • [8] ZHU L M., pp. 19-55, (2007)
  • [9] WOJNOWSKI W, MAJCHRZAK T, DYMERSKI T, Et al., Poultry meat freshness evaluation using electronic nose technology and ultrafast gas chromatography, Monatshefte Für Chemie-Chemical Monthly, 148, 9, pp. 1631-1637, (2017)
  • [10] ROTTIERS H, SOSA D A T, DEWETTINCK K, Et al., Discrimination of cocoa liquors based on their odor fingerprint: a fast GC electronic nose suitability study, Food Analytical Methods, 12, 2, pp. 475-488, (2019)