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借助人工神经网络,采用连续流动化学发光法同时测定食品样品中的葡萄糖、果糖和乳糖。

Simultaneous determination of glucose, fructose and lactose in food samples using a continuous-flow chemiluminescence method with the aid of artificial neural networks.

作者信息

Li Baoxin, He Yuezhen

机构信息

Department of Chemistry, School of Chemistry and Materials Science, Shaanxi Normal University, Xi'an 710062, People's Republic of China.

出版信息

Luminescence. 2007 Jul-Aug;22(4):317-25. doi: 10.1002/bio.965.

Abstract

In this study, a simple continuous-flow chemiluminescence (CL) system was developed for simultaneous determination of glucose, fructose and lactose in ternary mixtures of reducing sugars without previous separation. This method was based on the different kinetics of the individual sugars in the oxidation reaction with potassium ferricyanide. The known luminol-K(3)Fe(CN)(6) CL system was used to measure the kinetic data of the system. The CL intensity was measured and recorded every second from 1 to 300 s. The data obtained were processed chemometrically using an artificial neural network. The relative standard errors of prediction for three analytes were <5%. The proposed method was successfully applied to the simultaneous determination of the three sugars in some food samples.

摘要

在本研究中,开发了一种简单的连续流动化学发光(CL)系统,用于在无需预先分离的情况下同时测定还原糖三元混合物中的葡萄糖、果糖和乳糖。该方法基于各糖类与铁氰化钾氧化反应的不同动力学。使用已知的鲁米诺 - K₃Fe(CN)₆ CL系统来测量该系统的动力学数据。从1到300秒每秒测量并记录CL强度。使用人工神经网络对获得的数据进行化学计量学处理。三种分析物的预测相对标准误差<5%。所提出的方法成功应用于一些食品样品中三种糖类的同时测定。

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