食品科学2012，Vol.33Issue(16)：120-123,4.
基于近红外光谱对牛奶中掺杂尿素的判别分析
Discrimination of Milk Adulteration with Urea Based on Near Infrared Spectroscopy
摘要
Abstract
Forty eligible pure milk samples were collected and 40 adulterated milk samples were prepared by adding urea with various concentrations （1 - 20 g/L）. Two-dimensional correlation spectroscopy was calculated under the perturbation of adulteration. Based on the 2D correlation infrared spectroscopic characteristics, the spectra in the range of 4200 -- 4800 cm-1 were selected for quantitative and qualitative by partial least squares. There results showed that a 100% recognition rate of samples was achieved by partial least square-discriminate analysis （PLS-DA）. The correlation coefficient （R） of calibration sets was 0.999, and the root mean square errors of cross validation （RMSECV） were 0.242. The R between the predicted values and actual values was 0.999, and the root mean square errors of prediction （RMSEP） were 0.57. Therefore, the developed models have good prediction capacity.关键词
近红外光谱/牛奶/尿素/掺杂/偏最小二乘判别分析法Key words
near-infrared spectroscopy/milk/urea/adulteration/partial least square-discriminate analysis分类
化学化工引用本文复制引用
杨仁杰,刘蓉,徐可欣..基于近红外光谱对牛奶中掺杂尿素的判别分析[J].食品科学,2012,33(16):120-123,4.基金项目
国家自然科学基金重点项目 （）
国家自然科学基金青年科学基金项目 （）
教育部高等学校博士学科点科研基金专项 （）
