化学计量学
近红外光谱
紫外可见光谱
光谱学
红外线的
荧光
分析化学(期刊)
化学
荧光光谱法
紫外线
食品科学
环境科学
材料科学
环境化学
色谱法
光学
光电子学
物理
有机化学
量子力学
作者
Michaela Jakubíková,Jana Sádecká,Angela Kleinová
出处
期刊:Food Chemistry
[Elsevier BV]
日期:2017-07-03
卷期号:239: 889-897
被引量:22
标识
DOI:10.1016/j.foodchem.2017.07.008
摘要
This paper investigates the use of synchronous fluorescence, UV-Vis and near infrared (NIR) spectroscopy coupled with chemometric methods to discriminate samples of high-quality plum brandies (Slivovica) of different varietal origins (Prunus domestica L.). Synchronous fluorescence spectra (SFS) for wavelength differences in the range of 70-100nm, NIR spectra in the wavenumber range of 4000-7500cm-1 and UV-Vis spectra in the wavelength interval of 220-320nm were compared. The best discrimination models were created by linear discriminant analysis based on principal component analysis applied to SFS recorded with wavelength difference either 80nm or 100nm, allowing the classification of plum brandy according to harvest time as early (summer) and late (autumn) plum varieties; the total correct classifications were 96% and 100% for the calibration and prediction steps, respectively.
科研通智能强力驱动
Strongly Powered by AbleSci AI