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Sensory approach and chiral analysis for determination of odour active compounds from feijoa (Acca sellowiana).

The odour-active compounds of feijoa (Acca sellowiana), were isolated by Solvent-Assisted Flavour Evaporation (SAFE). By application of GC-O and the aroma extract dilution analysis (AEDA), nineteen odorants were detected. Volatile compounds with highest flavour dilution (FD) factor were quantified by internal standard and relative response factor. On the basis of the quantitative data and odour thresholds in water, odour activity values (OAV) were calculated. High OAVs were determined for ethyl butanoate, Z-3-hexenal, linalool and methyl benzoate responsible for the fruity, green, flowery and medicinal notes. A recombination assay and omission tests, showed the relevance of Z-3-hexenal, linalool and methyl benzoate as odour active compounds in feijoa aroma. Headspace solid-phase microextraction (HS-SPME) was used in order to verified linalool enantiomeric distribution in two feijoa varieties. R-linalool was the major configuration in both varieties. Quimba variety showed an enantiomeric ratio 75:25 while for Mammoth variety, linalool enantiomeric ratio was 95:5 (R:S).

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Quantification of biomarkers for beef meat qualities using a combination of Parallel Reaction Monitoring- and antibody-based proteomics.

We and others have identified biomarker candidates of tenderness or marbling, two major attributes of bovine meat-eating qualities for consumers' satisfaction. In this study, Reverse Phase Protein Arrays (RPPA) and targeted mass spectrometry assays using Parallel Reaction Monitoring (PRM) were developed to test whether 10 proteins pass the sequential qualification and verification steps of the challenging biomarker discovery pipeline. At least MYH1, TPI1, ALDH1A1 and CRYAB were qualified by RPPA or PRM as being differentially abundant according to marbling values of longissimus thoracis and semimembranosus muscles. Significant mathematical relationships between the individual abundance of each of the four proteins and marbling values were verified by linear or logistic regressions. Four proteins, TNNT1, MDH1, PRDX6 and ENO3 were qualified and verified for tenderness, and the abundance of MDH1 explained 49% of the tenderness variability. The present PRM and RPPA results pave the way for development of useful meat industrial multiplex-proteins assays.

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