Raita Jasmin, Ahmed Hany, Chen Kang, Houttu Veera, Haikonen Retu, Kårlund Anna, Kortesniemi Maaria, Yang Baoru, Koistinen Ville, Hanhineva Kati
Food Sciences Unit, Department of Life Technologies, University of Turku, Turku, Finland.
College of Food Science and Engineering, Ningbo University, Ningbo, PR China.
Nat Food. 2025 Mar 24. doi: 10.1038/s43016-025-01148-5.
According to existing food processing classification systems, plant-based protein-rich (PBPR) foods are often considered 'ultra-processed'-and therefore perceived as unhealthy-despite their ability to provide various bioactive compounds beneficial for human health. Here we used a non-targeted metabolomics approach to analyse the impact of processing on the biochemical composition of PBPR foods. Our results show that existing food classification systems may provide questionable categories for PBPR foods without considering their overall biochemical composition, including phytochemicals. An analysis focusing specifically on biochemical compounds of soy-based products manufactured using various technologies showed no clear distinctions between processing groups in the principal component analysis based on the NOVA and Poti classification. However, clear differences were found between soy-based products based on their phytochemical profile. Although food processing classification systems are welcome in their attempt to guide consumers towards healthy choices, they should be improved to more accurately reflect the biochemical composition of PBPR foods.
根据现有的食品加工分类系统,富含植物蛋白的(PBPR)食品通常被视为“超加工”食品,因此被认为不健康,尽管它们能够提供各种对人体健康有益的生物活性化合物。在此,我们采用非靶向代谢组学方法来分析加工对PBPR食品生化组成的影响。我们的结果表明,现有的食品分类系统在未考虑PBPR食品包括植物化学物质在内的整体生化组成的情况下,可能会为其提供有问题的分类。一项专门针对使用各种技术生产的大豆基产品的生化化合物的分析表明,在基于NOVA和Poti分类的主成分分析中,各加工组之间没有明显区别。然而,根据其植物化学特征,大豆基产品之间存在明显差异。尽管食品加工分类系统试图引导消费者做出健康选择,值得欢迎,但它们应该加以改进,以更准确地反映PBPR食品的生化组成。