Department of Chemistry, Faculty of Physics and Chemistry, Alzahra University, Vanak, Tehran, Iran.
Department of Chemistry, Faculty of Physics and Chemistry, Alzahra University, Vanak, Tehran, Iran; Analytical and Bioanalytical Research Centre, Alzahra University, Vanak, Tehran, Iran.
Food Chem. 2022 Oct 1;390:133204. doi: 10.1016/j.foodchem.2022.133204. Epub 2022 May 13.
This research aims at determining some free amino acids in amino acid-based infant formulas and amino acid-modified medical foods for inborn errors of metabolism to prove their quality. A method based on high-performance liquid chromatography and diode array detection was developed and validated. Then, overall uncertainty was estimated by the bottom-up approach. Applying the weighted least squares regression method suggested good linearity with coefficient of determinations ≥ 0.9960. The limits of detection were calculated between 0.01 and 0.28 μg/mL. The most repetitive recovery values were obtained in the range of 91-108%, with RSDs ≤ 15%. The expanded uncertainties were below 20% for most amino acids. The contributions of linear regression and repeatability are two main factors in estimating overall uncertainty. The results offer this method as a simple and easy procedure for analyzing free amino acids in seven powdered medical foods designed for phenylketonuria, maple syrup urine disease, methylmalonic, and propionic acidemia.
本研究旨在确定氨基酸婴儿配方粉和氨基酸代谢缺陷治疗配方粉中的一些游离氨基酸,以证明其质量。建立并验证了一种基于高效液相色谱和二极管阵列检测的方法,然后采用自下而上的方法估算总不确定度。应用加权最小二乘法回归法,得出的相关系数均大于 0.9960,线性关系良好。检出限在 0.01 至 0.28μg/mL 之间。最具重复性的回收率在 91-108%之间,相对标准偏差(RSD)≤15%。对于大多数氨基酸,扩展不确定度均低于 20%。线性回归和重复性的贡献是估计总不确定度的两个主要因素。该方法可用于分析 7 种用于苯丙酮尿症、枫糖尿症、甲基丙二酸血症和丙酸血症的粉末状医学食品中的游离氨基酸,操作简单易行。