Shi Cuizhu, Zhe Guangrong, Ding Xiang, Meng Qian, Li Jingpeng, Deng Li
Key Laboratory of Agricultural and Animal Products Storage and Processing of Guizhou Province, School of Liquor and Food Engineering, Guizhou University, Guiyang, 550025, China.
Hansc Intelligent Technology Co., LTD, Shenzhen, 518000, China.
Curr Res Food Sci. 2024 Aug 27;9:100830. doi: 10.1016/j.crfs.2024.100830. eCollection 2024.
The World Health Organization (WHO) has identified the use of iron cookware as a potential strategy for alleviating iron deficiency anaemia (IDA) and emphasises the need for action-oriented research in this area. In response to this need, our study systematically investigated the patterns of iron release from various types of cookware under different cooking conditions. Among these, nitrided iron pots (NIPs), the most widely used cookware, were selected for the development of kinetic models to predict iron release efficiently across a range of cooking temperatures and pH levels in food materials. Our results demonstrated that iron release from the pots was significantly influenced by cooking conditions such as the type of cookware, cooking temperatures, cooking times, types of acidic substances, and the pH of the cooking environment. Specifically, higher temperatures, longer cooking times, lower pH levels, and the presence of acetic acid were found to maximise iron release into food. We developed a series of kinetic models-Iron Release-Temperature Models (I, II, and III) and Iron Release-pH Models (IV, V, and VI)-to predict iron release from NIPs. The temperature models are applicable for cooking food with a pH of 5.00-6.00 within a temperature range of 50-100 °C, while the pH models are designed for food with a pH of 3.00-6.00 at boiling temperatures. Validation experiments confirmed the relative accuracy of these models. Additionally, when comparing the predicted iron release with the Recommended Nutrient Intake (RNI) guidelines, the findings support the efficacy of iron pots as a viable method for iron supplementation.
世界卫生组织(WHO)已确定使用铁制炊具是缓解缺铁性贫血(IDA)的一项潜在策略,并强调需要在这一领域开展以行动为导向的研究。为响应这一需求,我们的研究系统地调查了不同烹饪条件下各类炊具的铁释放模式。其中,氮化铁锅(NIPs)作为使用最广泛的炊具,被选用于建立动力学模型,以有效预测在一系列烹饪温度和食品材料pH值条件下的铁释放情况。我们的结果表明,炊具类型、烹饪温度、烹饪时间、酸性物质类型以及烹饪环境的pH值等烹饪条件对锅中铁的释放有显著影响。具体而言,发现较高的温度、较长的烹饪时间、较低的pH值以及乙酸的存在会使铁向食物中的释放量最大化。我们开发了一系列动力学模型——铁释放-温度模型(I、II和III)以及铁释放-pH模型(IV、V和VI)——来预测氮化铁锅中的铁释放情况。温度模型适用于在50-100°C温度范围内烹饪pH值为5.00-6.00的食物,而pH模型则针对沸腾温度下pH值为3.00-6.00的食物设计。验证实验证实了这些模型的相对准确性。此外,将预测的铁释放量与推荐营养素摄入量(RNI)指南进行比较时,研究结果支持了铁锅作为一种可行的铁补充方法的有效性。