ENEA Research Center of Trisaia, SS 106 Jonica Km 419.5, 75026 Rotondella, Mt, Italy.
Magn Reson Chem. 2011 Dec;49 Suppl 1:S22-6. doi: 10.1002/mrc.2807.
Nuclear magnetic resonance profiling, combined with a single-layer artificial neural network, is used for the evaluation of the content of mixtures of different kinds of milk. In particular, aqueous fractions of cow and sheep milk mixtures are analyzed by (1) H NMR. The spectral differences are highlighted by an analysis of the variance and a principal component analysis. The species classification problem is solved by a linear discriminant analysis. The quantification of the relative amount of the milk of two different species is then achieved by solving the appropriate multilinear problem.
核磁共振波谱分析结合单层人工神经网络用于评估不同种类牛奶混合物的含量。特别是通过 (1) H NMR 分析牛和羊乳混合物的水相部分。通过方差分析和主成分分析突出显示光谱差异。通过线性判别分析解决物种分类问题。然后通过解决适当的多线性问题来实现对两种不同物种牛奶的相对量的定量。
