Sample preparation optimization in wine and grapes. Dilution and sample/headspace volume equilibrium theory for headspace solid-phase microextraction.
Most headspace solid-phase microextraction (HS-SPME) volatile analysis methods have been developed for aqueous samples and have been either adapted or applied to complex matrices. This study examines sample/headspace equilibrium based on realistic (non-spiked) concentration levels in real complex sample matrices (grapes and wine) with a systematic multivariate statistical approach. The presence and absence of matrix effects are explained through exponential and linear relationships, respectively. The potential of over- and underestimating volatile compounds in a diluted sample is illustrated and the common dilution equation (C1V1=C2V2) is shown to not always apply to headspace volatile analysis. Additionally, sample dilution was shown to be more sensitive to matrix effects than sample/headspace volume variations with the latter showing analyte dependency. An optimum sample size of 6.9-8.6g in a 20mL vial without dilution was observed. This study shows that sensitivity and limit of detection (LOD) can be improved to a limit with a subsequent loss - an extension to existing theory. The study further illustrates that in trying to bring an analyte within linear range through sample dilution, sensitivity and LOD can be lost with a probable shift in optimum ranges and sample/headspace equilibrium.
Kalua
Curtis M
CM
CSIRO Plant Industry and Food Futures Flagship, P.O. Box 350, Glen Osmond, SA 5064, Australia. curtis.kalua@csiro.au
Boss
Paul K
PK
D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods*; D008956:Models, Chemical; D012680:Sensitivity and Specificity; D052617:Solid Phase Microextraction / Q000379:methods*; D035501:Uncertainty; D027843:Vitis / Q000737:chemistry*; D014835:Volatilization; D014920:Wine / Q000032:analysis*