Direct analysis in real time of high-quality extra virgin olive oils for the rapid and automatic identification of origin trademark

被引:5
作者
Mangraviti, Domenica [1 ]
Cafarella, Cinzia [1 ]
Rigano, Francesca [1 ,4 ]
Dugo, Paola [1 ,2 ]
Mondello, Luigi [1 ,2 ,3 ]
机构
[1] Univ Messina, Dept Chem Biol Pharmaceut & Environm Sci, Messina, Italy
[2] Univ Messina, Chromaleont srl, Dept Chem Biol Pharmaceut & Environm Sci, Messina, Italy
[3] Univ Campus Biomed Rome, Dept Sci & Technol Human & Environm, Rome, Italy
[4] Univ Messina, Dept Chem Biol Pharmaceut & Environm Sci, I-98168 Messina, Italy
关键词
DART-QDa; protected designation of origin; Italian EVOOs; monocultivar oil; chemometrics; ambient mass spectrometry; MODE DIRECT ANALYSIS; MASS-SPECTROMETRY; LIQUID-CHROMATOGRAPHY; ION-SOURCE; IONIZATION;
D O I
10.1002/jsfa.12842
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
BackgroundFollowing our previous research on the differentiation of Italian extra virgin olive oils (EVOOs) by rapid evaporative ionization mass spectrometry coupled to a tandem high resolution mass analyser, the present study deals with the evaluation of another direct mass spectrometry (direct-MS) approach for the rapid and automatic discrimination of EVOOs. In particular, direct analysis in real time (DART-MS) was explored as an ambient MS (AMS) source for the building of a top-quality Italian EVOOs database and fast identification of unknown samples. A single quadrupole detector (QDa) was coupled with DART, taking advantage of a cost-saving, user-friendly and less sophisticated instrumental setup. Particularly, quickstrip cards, located on a moving rail holder, were employed, allowing for the direct analysis of 12 EVOO spots in a total analysis time of 6 min. The aim was to develop a reliable statistical model by applying principal component and linear discriminant analyses to clusterize and classify EVOOs according to geographical origin and cultivar, as main factors determining their nutritional and sensory profiles. ResultsSatisfactory results were achieved in terms of identification reliability of unknown EVOOs, as well as false positive risk, thus confirming that the use of AMS combined with chemometrics is a powerful tool against fraudulent activities, without the need for mass accuracy data, which would increase the analysis cost. ConclusionA DART ionization source with a compact and reliable QDa MS analyser allowed for rapid fingerprinting analysis. Furthermore, MS spectra provided quali-quantitative information successfully related to EVOO differentiation. & COPY; 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
引用
收藏
页码:7643 / 7652
页数:10
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