Alvarado Ulises, Zamora Anna, Liu Jinfang, Saldo Jordi, Castillo Manuel
Centre d'Innovació, Recerca i Transferència en Tecnologia dels Aliments (CIRTTA), Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.
Escuela Profesional de Ingeniería Agroindustrial, Facultad de Ciencias Agrarias, Universidad Nacional del Altiplano, Av. Floral 1153, Puno 21001, Peru.
Foods. 2019 Dec 20;9(1):6. doi: 10.3390/foods9010006.
The front-face fluorescence spectroscopy technique was used to establish a rapid prediction model of riboflavin concentration in milk without prior sample preparation. The prediction model developed was then compared with two conventional high performance liquid chromatography (HPLC)-based quantification methods. The method of standard addition allowed detecting a linear correlation between fluorescence intensity and riboflavin concentration in 12% (/) reconstituted low-heat milk powder. Validation of the model yielded an R of 0.99 with a standard error of prediction of 0.13 mg/L. The results suggest a potential use of front-face fluorescence spectroscopy as a simple method for off- and in-line determinations of riboflavin in milk.
采用前表面荧光光谱技术，在无需预先进行样品制备的情况下，建立了牛奶中核黄素浓度的快速预测模型。然后将所建立的预测模型与两种基于高效液相色谱（HPLC）的传统定量方法进行比较。标准加入法能够检测出12%（/）复原低热奶粉中荧光强度与核黄素浓度之间的线性相关性。该模型的验证结果显示，相关系数R为0.99，预测标准误差为0.13 mg/L。结果表明，前表面荧光光谱法有可能作为一种简单方法，用于牛奶中核黄素的离线和在线测定。
