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Non-Targeted Ultra-High Performance Liquid Chromatography-High-Resolution Mass Spectrometry (UHPLC-HRMS) Fingerprints for the Chemometric Characterization and Classification of Turmeric and Curry Samples
- Source :
- Separations, Volume 7, Issue 2, Dipòsit Digital de la UB, Universidad de Barcelona, Separations, Vol 7, Iss 32, p 32 (2020)
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- In this work, non-targeted ultra-high performance liquid chromatography-high-resolution mass spectrometry (UHPLC-HRMS) fingerprints obtained by C18 reversed-phase chromatography were proposed as sample chemical descriptors for the characterization and classification of turmeric and curry samples. A total of 21 turmeric and 9 curry commercially available samples were analyzed in triplicate after extraction with dimethyl sulfoxide (DMSO). The results demonstrated the feasibility of non-targeted UHPLC-HRMS fingerprints for sample classification, showing very good classification capabilities by partial least squares regression-discriminant analysis (PLS-DA), with 100% classification rates being obtained by PLS-DA when randomly selected samples were processed as &ldquo<br />unknown&rdquo<br />ones. Besides, turmeric curcuma species (Curcuma longa vs. Curcuma zedoaria) and turmeric Curcuma longa varieties (Madras, Erodes, and Alleppey) discrimination was also observed by PLS-DA when using the proposed fingerprints as chemical descriptors. As a conclusion, non-targeted UHPLC-HRMS fingerprinting is a suitable methodology for the characterization, classification, and authentication of turmeric and curry samples, without the requirement of using commercially available standards for quantification nor the necessity of metabolite identification.
- Subjects :
- Química dels aliments
Curcumin
Non targeted
principal component analysis
Uhplc hrms
Liquid chromatography
Filtration and Separation
Mass spectrometry
Cromatografia de líquids
01 natural sciences
Analytical Chemistry
lcsh:Chemistry
food
turmeric characterization
Partial least squares regression
Curcumina
Curcuma
computer.programming_language
Chromatography
biology
partial least squares regression-discriminant analysis
010405 organic chemistry
Chemistry
010401 analytical chemistry
Curry
biology.organism_classification
lcsh:QC1-999
food.food
0104 chemical sciences
lcsh:QD1-999
non-targeted UHPLC-HRMS analysis
fingerprinting chemical descriptors
Food composition
Ultra high performance
Curcuma zedoaria
computer
lcsh:Physics
Subjects
Details
- ISSN :
- 22978739
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- Separations
- Accession number :
- edsair.doi.dedup.....3ed248ed85fc609da2e75c11f0496789
- Full Text :
- https://doi.org/10.3390/separations7020032