Gonzalez Viejo Claudia, Harris Natalie, Tongson Eden, Fuentes Sigfredo
Digital Agriculture, Food and Wine Research Group. Faculty of Science, The University of Melbourne, VIC, 3010, Australia.
Centre of Excellence in Plants for Space. Australian Research Council, University of Adelaide (Lead University), Glen Osmond Rd, Adelaide, SA, Australia.
NPJ Sci Food. 2024 Oct 9;8(1):81. doi: 10.1038/s41538-024-00314-6.
Novel research on food perception is required for long-term space exploration. There is limited research on food/beverage sensory analysis in space and space-simulated conditions, with many studies presenting biases in sensory and statistical methods. This study used univariate and multivariate analysis on data from pick-and-eat leafy greens to assess self-reported and biometric consumer sensory analysis in simulated microgravity using reclining chairs and space-immersive environments. According to ANOVA (p < 0.05), there were significant differences between interaction room × position for head movements; besides, there were non-significant differences in the interaction samples × environment. On the other hand, there were significant differences in the sample×position interaction for all liking attributes. Results from multivariate analysis showed effects on self-reported, physiological, and emotional responses of samples in space-related positions and environments related to sensory perception changes. Non-invasive biometrics could offer a powerful tool for developing digital twins to assess genetically modified plants and plant-based food/beverages for long-term space exploration.
长期太空探索需要对食物感知进行新的研究。在太空和太空模拟条件下，关于食品/饮料的感官分析研究有限，许多研究在感官和统计方法上存在偏差。本研究对即食绿叶蔬菜的数据进行了单变量和多变量分析，以评估在使用躺椅和太空沉浸式环境的模拟微重力条件下，消费者自我报告的和生物特征的感官分析。根据方差分析（p < 0.05），头部运动在交互房间×位置之间存在显著差异；此外，样本×环境的交互作用无显著差异。另一方面，所有喜好属性在样本×位置交互作用上存在显著差异。多变量分析结果表明，与感官感知变化相关的太空相关位置和环境中的样本对自我报告、生理和情绪反应有影响。非侵入性生物特征识别可以为开发数字孪生体提供一个强大的工具，以评估转基因植物和植物性食品/饮料用于长期太空探索。
