啤酒主要成分的近红外光谱法测定

根据近红外光谱的振动吸收强度与有机分子官能团含量的线性关系，用偏最小二乘法，对啤酒的近红外光谱与其中的酒精度、原麦汁浓度以及总酸含量等3种主要成分进行了线性回归，并建立起相关的模型。用该模型对未知啤酒样品中的上述3种成分的含量进行预测，取得了令人非常满意的结果。可望作为啤酒厂的一种快捷而准确的检测方法予以推广。

Measurement of the Principal Components in Beer by Means of Near Infrared Spectroscopy

Based on the proportional relationship between the intensity of the Fourier transform near infrared spectrum (FT NIR) with the content of the functional groups in organic compound, the linear regression of partial least square (PLS) was applied to the NIR spectra of beer with their concentration of alcohol and original oast as well as total acids contents in beer, and a quantitative model for the determination of alcohol, original oast and total acids in beer has been established. Using this model to predict the contents of above 3 components of unknown beer samples, the very satisfactory results were obtained.