Determination of the Geographical Origin of Asparagus officinalis L. by 1H NMR Spectroscopy

被引:21
作者
Klare, Juliane [1 ,2 ]
Rurik, Marc [3 ]
Rottmann, Eric [1 ]
Bollen, Anke [1 ]
Kohlbacher, Oliver [3 ,4 ,5 ,6 ]
Fischer, Markus [2 ]
Hackl, Thomas [1 ,2 ]
机构
[1] Univ Hamburg, Inst Organ Chem, D-20146 Hamburg, Germany
[2] Univ Hamburg, Hamburg Sch Food Sci, Inst Food Chem, D-20146 Hamburg, Germany
[3] Univ Tubingen, Dept Comp Sci, Appl Bioinformat, D-72076 Tubingen, Germany
[4] Univ Tubingen, Inst Bioinformat & Med Informat, D-72076 Tubingen, Germany
[5] Max Planck Inst Dev Biol, Biomol Interact, D-72076 Tubingen, Germany
[6] Univ Hosp Tubingen, Translat Bioinformat, D-72076 Tubingen, Germany
关键词
asparagus; NMR; food fraud; geographical origin; support vector machine; WHITE ASPARAGUS; NMR; FOOD; METABOLOMICS; METABOLITE; AUTHENTICATION; DISCRIMINATION; JUICES;
D O I
10.1021/acs.jafc.0c05642
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Food authenticity concerning the geographical origin becomes increasingly important for consumers, food industries, and food authorities. In this study, nontargeted H-1 NMR metabolomics combined with machine learning methodologies was applied to successfully distinguish the geographical origin of 237 samples of white asparagus from Germany, Poland, The Netherlands, Spain, Greece, and Peru. Support vector classification of the geographical origin achieved an accuracy of 91.5% for the entire sample set and 87.8% after undersampling the majority class. Important regions of die spectra could be identified and assigned to potential chemical markers. A subset of samples was compared to isotope-ratio mass spectrometry (IRMS), an established method for the determination of origin of white asparagus in Germany. Here, SVM classification led to accuracies of 79.4% for NMR and 70.9% for IRMS. Finally, the classification of asparagus from different German regions was evaluated, and the influence of year and variety was analyzed.
引用
收藏
页码:14353 / 14363
页数:11
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