该研究利用智能感官设备,将饮中与饮后两个阶段的感官分析相结合,采用饮中面部表情分析,饮后注意网络测试分析,脑电情绪感知测试分析和啤酒饮用品质消费者表达标识构建为依托,智能化地评估消费者对于啤酒产品的饮中喜好度以及饮后舒适度。结果表明,饮中的正向情绪与饮后舒适度综合排序有关,饮后舒适度的3种测试结果显示出了较高的一致性。因此,研究通过建立饮中与饮后这2个阶段的智能感官评价模式,将对于啤酒的感官分析开辟新的方向,也将鼓励新型智能仪器在感官方面的使用。
李德超
,
丁小燕
,
张万伯
,
李喜书
,
曹婷
,
孟芳会
,
王进
,
李红
,
杨东
,
武敏
. 基于智能感官设备饮中喜好度及饮后舒适度的纯生啤酒的可饮性研究[J]. 食品与发酵工业, 2025
, 51(13)
: 144
-149
.
DOI: 10.13995/j.cnki.11-1802/ts.040327
In this study, intelligent sensory equipment was used to combine the sensory analysis during and after beer drinking, and intelligently assess consumers’ preference for beer products during drinking and consumers’ post-drinking comfort based on the analysis of facial expression during drinking, the analysis of attention network test, electroencephalogram emotional perception test and the consumer expression mark of beer drinking quality after drinking.The results showed that the positive emotion during drinking was related to the comprehensive ranking of overall post-drinking comfort, and the three test results showed a high consistency.Therefore, through the establishment of intelligent sensory evaluation methods during and after drinking, this study will make a new direction for sensory analysis of beer in an intelligent way and will contribute to encourage the new equipment using in sensory evaluation.
[1] 张君海. 啤酒的感官评价[J].食品与发酵工业, 1990(2):84-88;9.
ZHANG H J.The sensory evaluation of beers[J].Food and Fermentation Industries, 1990(2):84-88;9.
[2] 杨占福, 王昊军.啤酒的感官评价[J].啤酒科技, 2005(11):66-67.
YANG Z F, WANG H J.Sensory evaluation of beer[J].Beer Science and Technology, 2005(11):66-67.
[3] PINEAU N, GIRARDI A, LACOSTE GREGORUTTI C, et al.Comparison of RATA, CATA, sorting and Napping® as rapid alternatives to sensory profiling in a food industry environment[J].Food Research International, 2022, 158:111467.
[4] OPPERMANN A K L, DE GRAAF C, SCHOLTEN E, et al.Comparison of Rate-All-That-Apply (RATA) and Descriptive sensory Analysis (DA) of model double emulsions with subtle perceptual differences[J].Food Quality and Preference, 2017, 56:55-68.
[5] LELIÈVRE M, CHOLLET S, ABDI H, et al.What is the validity of the sorting task for describing beers? A study using trained and untrained assessors[J].Food Quality and Preference, 2008, 19(8):697-703.
[6] NISHIDA M, LESTRINGANT P, CANTU A, et al.Comparing classical descriptive analysis with modified descriptive analysis, modified rate-all-that-apply, and modified check-all-that-apply[J].Journal of Sensory Studies, 2021, 36(5):12684.
[7] 冯婧, 皇甫洁, 董建辉, 等.面部表情分析技术在露酒感官及消费者接受度评价的初步研究[J].食品与发酵工业, 2022, 48(6):257-262.
FENG J, HUANGFU J, DONG J H, et al.Sensory evaluation and consumer acceptance of Chinese Lujiu using facial expression analysis[J].Food and Fermentation Industries, 2022, 48(6):257-262.
[8] JAP B T, LAL S, FISCHER P, et al.Using EEG spectral components to assess algorithms for detecting fatigue[J].Expert Systems with Applications, 2009, 36(2):2352-2359.
[9] 王成, 陈爽, 吕高冲,等.基于脑电波分析的消费者啤酒饮用喜好度研究[J].食品与发酵工业, 2023, 49(11):125-130.
WANG C, CHEN S, LYU G C, et al.The research of sensory evaluation and consumer preference of beer using electroencephalogram method[J].Food and Fermentation Industries, 2023, 49(11):125-130.
[10] 邓少平. 中国白酒评酒方法的科学化问题[J].酿酒, 1997(2):3-6.
DENG S P.The scientific problem of the Chinese liquor evaluation method[J].Liquor Making, 1997(2):3-6.
[11] MEZEI L V, JOHNSON T E, GOODMAN S, et al.Meeting the demands of climate change:Australian consumer acceptance and sensory profiling of red wines produced from non-traditional red grape varieties[J].OENO One, 2021, 55(2):29-46.
[12] PIERSON B J.Comparison of the flavour of keg and draught beers using sensory evaluation techniques[J].Journal of the Science of Food and Agriculture, 1976, 27(8):785-786.
[13] LAGAST S, GELLYNCK X, SCHOUTETEN J J, et al.Consumers’ emotions elicited by food:A systematic review of explicit and implicit methods[J].Trends in Food Science & Technology, 2017, 69:172-189.
[14] 陈硕. 绿茶精酿啤酒的营养风味物质研究及酵母泥利用[D].济南:齐鲁工业大学, 2023.
CHEN S.Study on nutritional flavor substances of green tea craft beer and utilization of yeast mud[D].Jinan:Qilu University of Technology, 2023.
[15] 方得胜. 基于EEG和ERP特征信息的饮酒健康评估研究[D]. 南京:南京航空航天大学,2016.
FANG D S. Research on alcohol consumption health evaluation based on EEG and ERP feature information[D]. Nanjing: Nanjing University of Aeronautics, 2016.
[16] JAP B T, LAL S, FISCHER P.Comparing combinations of EEG activity in train drivers during monotonous driving[J].Expert Systems with Applications, 2011, 38(1):996-1003.