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Optimization and application of headspace-solid-phase micro-extraction coupled with gas chromatography–mass spectrometry for the determination of volatile compounds in cherry wines
- Source :
- Journal of Chromatography B. :122-130
- Publication Year :
- 2015
- Publisher :
- Elsevier BV, 2015.
-
Abstract
- A simple, rapid and solvent-free multi-residue method has been developed and applied to confirm and quantify a series of volatile compounds in five cherry wines by gas chromatography coupled with mass spectrometry (GC–MS). Four parameters (e.g., coating material of fiber, temperature and time of extraction, and addition of sodium chloride in the solution) of headspace solid-phase micro-extraction (HS-SPME) were optimized, resulting in the best extraction condition including 50/30 μm DVB/CAR/PDMS fiber, 45 min and 50 °C of SPME, and 2 g of sodium chloride addition in the wine during the extraction. The SPME had LODs and LOQs ranging from 0.03 to 7.27 μg L−1 and 0.10 to 24.24 μg L−1 for analytic compounds, respectively. Repeatability and reproducibility values were all below 19.8%, with mean values of 12.7% and 10.5%, respectively. Regression coefficients (R2) of detective linearity of the standard curves was higher than 0.9852. Moreover, relative recoveries of analytical targets were achieved in a range of 60.7–125.6% with good relative standard deviation values (≤20.6%). In addition, a principal component analysis (PCA) was used to analyze the aroma profiles of the wines, which indicated that five samples were distinctly divided into two groups based on their different geographical origins and volatile compounds.
- Subjects :
- Clinical Biochemistry
Analytical chemistry
Wine
Mass spectrometry
Biochemistry
Gas Chromatography-Mass Spectrometry
Analytical Chemistry
Limit of Detection
Solid Phase Microextraction
Aroma
Principal Component Analysis
Volatile Organic Compounds
Chromatography
biology
Chemistry
Extraction (chemistry)
Reproducibility of Results
Cell Biology
General Medicine
Repeatability
biology.organism_classification
Standard curve
Odorants
Linear Models
Prunus
Gas chromatography
Gas chromatography–mass spectrometry
Subjects
Details
- ISSN :
- 15700232
- Database :
- OpenAIRE
- Journal :
- Journal of Chromatography B
- Accession number :
- edsair.doi.dedup.....74716a5489ac83788619f7fd47a19eb1
- Full Text :
- https://doi.org/10.1016/j.jchromb.2014.12.006