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.
引用
收藏
页码:242 / 252
页数:10
相关论文
共 30 条
  • [11] LLOYD M A, HESS S J, DRAKE M A., Effect of nitrogen flushing and storage temperature on flavor and shelf-life of whole milk powder, Journal of Dairy Science, 92, 6, pp. 2409-2422, (2009)
  • [12] RUTH S M V, FLORIS V, FAYOUX S, Et al., Characterisation of the volatile profiles of infant formulas by proton transfer reaction-mass spectrometry and gas chromatography-mass spectrometry, Food Chemistry, 98, 2, pp. 343-350, (2006)
  • [13] ZHU Y F, CHEN J, CHEN X J, Et al., Use of relative odor activity value (ROAV) to link aroma profiles to volatile compounds:application to fresh and dried eel (Muraenesox cinereus), International Journal of Food Properties, 23, 1, pp. 2257-2270, (2020)
  • [14] GEMERT L., Odour threshold values in water in odour thresholds.compilations of odour threshold values in air, water and other media, pp. 242-516, (2011)
  • [15] WANG H W, ZHANG X, SUO H Y, Et al., Aroma and flavor characteristics of commercial Chinese traditional bacon from different geographical regions[J], Journal of Sensory Studies, 34, 1, (2019)
  • [16] KANG M W, CHEN D J, RUAN R, Et al., The effect of intense pulsed light on the sensory properties of nonfat dry milk, Journal of Food Science, 86, 9, pp. 4119-4133, (2021)
  • [17] DRAKE M A, KARAGUL-YUCEER Y, CADWALLADER K R, Et al., Determination of the sensory attributes of dried milk powders and dairy ingredients, Journal of Sensory Studies, 18, 3, pp. 199-216, (2003)
  • [18] RETIVEAU A, CHAMBERS D H, ESTEVE E., Developing a lexicon for the flavor description of French cheeses, Food Quality and Preference, 16, 6, pp. 517-527, (2005)
  • [19] ZHANG L, ZHENG Y L, ZHONG G L, Et al., Research on leaf species identification based on principal component and linear discriminant analysis, Cluster Computing, 22, 4, pp. 7795-7804, (2019)
  • [20] ROMEU-NADAL M, CASTELLOTE A I, LOPEZ-SABATER M C., Headspace gas chromatographic method for determining volatile compounds in infant formulas, Journal of Chromatography A, 1046, 1, pp. 235-239, (2004)