主成分分析
橄榄油
质子核磁共振
化学计量学
色谱法
化学
分析化学(期刊)
核磁共振谱数据库
样品(材料)
模式识别(心理学)
谱线
计算机科学
人工智能
食品科学
物理
有机化学
天文
作者
Colleen L. Ray,James A. Gawenis,C. Michael Greenlief
出处
期刊:Molecules
[MDPI AG]
日期:2021-12-30
卷期号:27 (1): 213-213
被引量:11
标识
DOI:10.3390/molecules27010213
摘要
A new NMR-based method for the discrimination of olive oils of any grade from seed oils and mixtures thereof was developed with the aim of allowing the verification of olive oil authenticity. Ten seed oils and seven monovarietal and blended extra virgin olive oils were utilized to develop a principal component analysis (PCA) based analysis of 1H NMR spectra to rapidly and accurately determine the authenticity of olive oils. Another twenty-eight olive oils were utilized to test the principal component analysis (PCA) based analysis. Detection of seed oil adulteration levels as low as 5% v/v has been shown using simple one-dimensional proton spectra obtained using a 400 MHz NMR spectrometer equipped with a room temperature inverse probe. The combination of simple sample preparation, rapid sample analysis, novel processing parameters, and easily interpreted results, makes this method an easily accessible tool for olive oil fraud detection by substitution or dilution compared to other methods already published.
科研通智能强力驱动
Strongly Powered by AbleSci AI