Department of Biotechnology of Food Products from Plant and Animal Raw Materials, K.G. Razumovsky Moscow State University of Technologies and Management (The First Cossack University), 73 Zemlyanoy Val, 109004 Moscow, Russia.
Department of Digital Data Processing Technologies, MIREA-Russian Technological University, 119454 Moscow, Russia.
Int J Environ Res Public Health. 2022 Nov 23;19(23):15574. doi: 10.3390/ijerph192315574.
The article proposes an algorithm for an approximate assessment of the molar volume of free radicals generated in the human body per day. It takes into account the act of breathing, physical activity, food consumption, the influence of unfavorable environmental conditions, exposure to xenobiotics, as well as bad habits (alcohol and tobacco smoking). A calculation of the required set of the most commonly used food products for the disposal of free radicals was made. The calculation is a structure of four blocks with the possibility of adding optional data from human population genetic studies, environmental conditions, etc. In the proposed algorithm, the results of antiradical activity (ARA) of food products are used as input, including the results of predicting antiradical activity using artificial neural networks (ANN), which we published earlier. Based on the accepted values of one equivalent (in terms of the activity of 1 μmol of ascorbic acid), it was shown (for our data) that for the utilization of all free radicals produced in the human body per day, it will take an average of ≈260 to ≈540 g of food components in terms of dry mass (including proteins, fats, carbohydrates, etc.). At the same time, for the utilization of consumed xenobiotics, from 220 mg (in terms of vitamin C) to 260 mg (in terms of acetylcysteine -NAC) of additional plastic components or 11.5-13.0 g of essential amino acids will be required, which must be taken into account when calculating diets. This approach will be useful in the development of new functional foods, as well as in assessing the possible impact of diets on human health. Another applied point of this study is related to the possibility of using these data for better detailing and selection of food products for people working in conditions of increased radiation (in space conditions), in contact with harmful substances (chemical synthesis and production), for people practicing increased physical activity (bodybuilding and sports), and for the purposes of medical nutritional therapy.
本文提出了一种估算人体每天产生的自由基摩尔体积的近似评估算法。该算法考虑了呼吸、体力活动、食物消耗、不利环境条件的影响、暴露于外源性化学物质以及不良习惯（饮酒和吸烟）等因素。本文还计算了一组用于清除自由基的常用食品。该计算是一个由四个模块组成的结构，可根据人类群体遗传研究、环境条件等添加可选数据。在所提出的算法中，使用食品的抗氧化活性（ARA）结果作为输入，包括使用我们之前发表的人工神经网络（ANN）预测抗氧化活性的结果。基于一个当量（以 1 μmol 抗坏血酸的活性为单位）的接受值，我们发现（根据我们的数据），为了利用人体每天产生的所有自由基，平均需要消耗约 260 到 540 克干重的食物成分（包括蛋白质、脂肪、碳水化合物等）。同时，为了利用消耗的外源性化学物质，需要额外消耗 220 毫克（以维生素 C 为单位）至 260 毫克（以乙酰半胱氨酸-NAC 为单位）的塑料成分或 11.5-13.0 克必需氨基酸，这在计算饮食时必须考虑到。当开发新的功能性食品时，或者在评估饮食对人类健康的可能影响时，这种方法将非常有用。本研究的另一个应用点涉及到利用这些数据更好地细化和选择食物产品的可能性，这些食物产品针对的是在辐射增加的环境（太空条件）下工作、接触有害物质（化学合成和生产）、进行高强度体力活动（健美和运动）的人群，以及医疗营养治疗的目的。
