1. Qualitative and Quantitative Prediction of Volatile Compounds from Initial Amino Acid Profiles in Korean Rice Wine ( makgeolli) Model.
- Author
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Kang, Bo‐Sik, Lee, Jang‐Eun, and Park, Hyun‐Jin
- Subjects
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AMINO acids , *MAKKOLLI , *AROMATIC compounds , *ELECTRONIC noses , *GAS chromatography/Mass spectrometry (GC-MS) , *MASS-to-charge ratio - Abstract
In Korean rice wine ( makgeolli) model, we tried to develop a prediction model capable of eliciting a quantitative relationship between initial amino acids in makgeolli mash and major aromatic compounds, such as fusel alcohols, their acetate esters, and ethyl esters of fatty acids, in makgeolli brewed. Mass-spectrometry-based electronic nose (MS-EN) was used to qualitatively discriminate between makgeollis made from makgeolli mashes with different amino acid compositions. Following this measurement, headspace solid-phase microextraction coupled to gas chromatography-mass spectrometry (GC-MS) combined with partial least-squares regression (PLSR) method was employed to quantitatively correlate amino acid composition of makgeolli mash with major aromatic compounds evolved during makgeolli fermentation. In qualitative prediction with MS-EN analysis, the makgeollis were well discriminated according to the volatile compounds derived from amino acids of makgeolli mash. Twenty-seven ion fragments with mass-to-charge ratio ( m/ z) of 55 to 98 amu were responsible for the discrimination. In GC-MS combined with PLSR method, a quantitative approach between the initial amino acids of makgeolli mash and the fusel compounds of makgeolli demonstrated that coefficient of determination ( R2) of most of the fusel compounds ranged from 0.77 to 0.94 in good correlation, except for 2-phenylethanol ( R2 = 0.21), whereas R2 for ethyl esters of MCFAs including ethyl caproate, ethyl caprylate, and ethyl caprate was 0.17 to 0.40 in poor correlation. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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