营养调和油复配优选模型的建立及应用

Abstract

为解决慢性疾病人群适宜摄入脂肪酸比例要求特殊的问题，采用气相色谱法和液质联用法分析结合查阅文献构建17种原料油脂肪酸组成、MCT含量及价格信息数据库，总结某种慢性疾病患者营养要求，建立了一种简便实用的营养调和油数学模型，并基于 MATLAB软件开发易于掌握的求解及评价方法。结果表明：通过运行该程序得到40种符合条件的适宜某种慢性疾病患者食用的营养调和油配方；通过排序优选出10种营养调和油配方。该模型设计合理,可快速准确地计算出各原料油的比例并对配方综合打分评价，实现多种营养调和油配方的生成和排序。 In order to solve the problem of suitable fatty acid intake proportion for chronic patients, a database of fatty acid composition, MCT content and price of 17 kinds of raw oil was established by gas chromatography analysis, LC-MS analysis combined with literature review. The nutritional requirements of patients with certain chronic diseases were summarized, then a simple and practical mathematical model of nutritional blend oil was established, and an easy to master solution and evaluation method was developed based on MATLAB software. The results showed that by running the program, 40 kinds of nutritional blend oil formulas suitable for patients with certain chronic diseases were obtained and 10 kinds of nutritional blend oil formulas were optimized by sequencing. The model is reasonably designed, which can quickly and accurately calculate the proportion of each raw oil and comprehensively score, then evaluate the formulas, so as to realize the generation and sequencing of the formulas of a variety of nutritional blend oils.

Keywords

• 调和油；数学模型；脂肪酸组成；慢性疾病；计算机软件
• blend oil; mathematical model; fatty acid composition; chronic disease; computer software