Liu Xiao, Feng Yulin, Li Ren, Zhang Huijuan, Ren Feiyue, Liu Jie, Wang Jing
School of Food and Health, Beijing Technology & Business University (BTBU), Beijing 100048, China; National Center of Technology Innovation for Grain Industry (Comprehensive Utilization of Edible by-products), Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing, 100048, China.
School of Food and Health, Beijing Technology & Business University (BTBU), Beijing 100048, China; National Center of Technology Innovation for Grain Industry (Comprehensive Utilization of Edible by-products), Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing, 100048, China..
Food Res Int. 2025 Jan;199:115354. doi: 10.1016/j.foodres.2024.115354. Epub 2024 Nov 19.
As the global population ages, dysphagia is becoming increasingly common among the elderly, posing serious risks such as choking, aspiration pneumonia, and even death. Leveraging advanced technologies to develop specialized food products for those with dysphagia not only serves the economic interests of the elderly food market but also significantly enhances the nutritional health and social satisfaction of this demographic. This review examines the causes and early symptoms of dysphagia, the development of texture-modified foods (TMFs), and the relevant regulations and standards. It also addresses the key factors influencing the swallowing of foods, focusing on rheology and tribology. Most texture-modified foods currently available do not provide an enjoyable eating experience for the elderly or those with dysphagia. The integration of artificial intelligence (AI) and mathematical modeling with food additive manufacturing technology appears promising for improving foods designed for the elderly and those with dysphagia. This paper highlights the critical benefits and potential applications of AI, mathematical modeling, and food additive manufacturing in creating dysphagia-friendly foods and provides a conceptual system for designing diets based on AI for dysphagic foods. AI and mathematical model-based food processing technology enable the food industry to achieve digitalization and large-scale customization, potentially revolutionizing the approach to dietary management in dysphagia.
随着全球人口老龄化,吞咽困难在老年人中越来越普遍,会带来诸如窒息、吸入性肺炎甚至死亡等严重风险。利用先进技术为吞咽困难者开发特殊食品,不仅符合老年食品市场的经济利益,还能显著提高这一人群的营养健康水平和社会满意度。本综述探讨了吞咽困难的成因和早期症状、质地改良食品(TMFs)的发展以及相关法规和标准。它还讨论了影响食物吞咽的关键因素,重点是流变学和摩擦学。目前大多数现有的质地改良食品并不能为老年人或吞咽困难者提供愉悦的进食体验。人工智能(AI)和数学建模与食品添加剂制造技术的结合,在改善为老年人和吞咽困难者设计的食品方面似乎很有前景。本文强调了人工智能、数学建模和食品添加剂制造在创造吞咽困难友好型食品方面的关键益处和潜在应用,并提供了一个基于人工智能设计吞咽困难食品饮食的概念系统。基于人工智能和数学模型的食品加工技术使食品行业能够实现数字化和大规模定制,可能会彻底改变吞咽困难饮食管理的方法。