Rodriguez-Nogales J M, Garcia M C, Marina M L
Departamento de Química Analítica, Facultad de Química, Universidad de Alcalá, 28871 Alcalá de Henares, Madrid, Spain.
J Agric Food Chem. 2006 Feb 22;54(4):1173-9. doi: 10.1021/jf052349h.
Modern analytical techniques based on the use of RP-HPLC with monolithic stationary phases and the application of experimental design and classification tools have been applied to the analysis of maize proteins. Solubilization conditions of maize proteins and separation conditions (temperature, detection wavelength, type and concentration of ion-pairing agent, and gradient) were optimized. The elution gradient was optimized by the application of experimental design techniques. The optimized method consisted of a linear binary gradient of water/acetonitrile/0.1% trifluoroacetic acid in three steps at a flow rate of 3 mL/min with a column temperature of 35 degrees C and UV detection at 280 nm. The developed method enabled the separation of maize proteins in an analysis time close to 8 min. Moreover, this is the first time that commercial maize products have been characterized by the use of multivariate classification techniques.
基于使用带有整体固定相的反相高效液相色谱(RP-HPLC)以及应用实验设计和分类工具的现代分析技术已应用于玉米蛋白的分析。对玉米蛋白的增溶条件和分离条件(温度、检测波长、离子对试剂的类型和浓度以及梯度)进行了优化。通过应用实验设计技术对洗脱梯度进行了优化。优化后的方法包括水/乙腈/0.1%三氟乙酸的线性二元梯度,分三步进行,流速为3 mL/min,柱温为35℃,在280 nm处进行紫外检测。所开发的方法能够在接近8分钟的分析时间内分离玉米蛋白。此外,这是首次使用多变量分类技术对商业玉米产品进行表征。