Technical Analysis of Detection of Vitis Amurensis Wine Volatiles Based on HS-SPEM-GC-MS

Abstract

Abstract Vitis amurensis wine is a Chinese specialty wine product. This study investigated the effects of different sample processing methods on the detection of volatile components of Vitis amurensis wines using headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS). The effects of sample volume, sample concentration, extraction temperature, equilibrium time, adsorption time, stirring speed, sodium chloride, and desorption time on the assay results were explored. The results showed that the sample processing methods significantly impacted the assay results, especially for low-concentration volatiles, which were detected less frequently. However, this effect could be compensated by increasing the adsorption time, adding saturated NaCl and increasing the number of parallel experiments. When the results were statistically analyzed, high matching (probability) reduced the variability of the parameters at different levels, and the detection conditions could not be optimized by regression analysis, but low matching reduced the accuracy of the results. Moreover, the sensitivity of the instrument exerted an effect on the assay results.