| Autor: |
Ryan P. Dias, Trevor A. Johnson, L.Felipe V. Ferrão, Patricio R. Munoz, A. Paulina de la Mata, James J. Harynuk |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Journal of Chromatography Open, Vol 3, Iss , Pp 100075- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2772-3917 |
| DOI: |
10.1016/j.jcoa.2022.100075 |
| Popis: |
Aroma profiles of blueberries contain a heterogeneous mixture of volatile organic compounds (VOCs), and headspace sampling is the most efficient approach to VOC extraction from berries. Typically, headspace solid-phase microextraction (HS-SPME) has been applied to blueberry VOCs. Though HS-SPME has been the most common choice for headspace sampling, the fiber chemistry introduces selectivity to the extraction: preferential sorption may skew aroma profiles. Dynamic headspace (DHS) is an attractive substitute for HS-SPME, given its improved sensitivity and lessened bias imparted due to extraction phase selectivity. DHS extractions tend to yield a larger number of compounds and require even less sample than HS-SPME. These two extraction techniques were applied to homogenized blueberries and extracts were subjected to analysis by comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry (GC×GC-TOFMS). Major chemical classes were identified with filtering scripts for GC×GC-TOFMS data. The HS-SPME and DHS methods were assessed for reproducibility and chemical diversity (i.e., recovered chemical classes). |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
