2014
DOI: 10.1016/j.foodchem.2014.01.025
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A new volatiles-based differentiation method of Chinese spirits using longpath gas-phase infrared spectroscopy

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Cited by 34 publications
(17 citation statements)
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“…As observed from Fig. 1 and our previous study, the infrared spectrum of the vapors from Chinese vinegar was similar to that from Chinese spirits (Dong et al, 2014a(Dong et al, , 2014b, which may be due to the similar raw materials and brewing processes used for both. In this study, we observed the spectral characteristics of some major compositions in Chinese vinegars, includes alcohols, acetic acid, furfural, esters and 2,3-butanedione.…”
Section: Resultssupporting
confidence: 80%
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“…As observed from Fig. 1 and our previous study, the infrared spectrum of the vapors from Chinese vinegar was similar to that from Chinese spirits (Dong et al, 2014a(Dong et al, , 2014b, which may be due to the similar raw materials and brewing processes used for both. In this study, we observed the spectral characteristics of some major compositions in Chinese vinegars, includes alcohols, acetic acid, furfural, esters and 2,3-butanedione.…”
Section: Resultssupporting
confidence: 80%
“…1(c)), which exhibited strong absorbance characteristics despite overlapping with the alcohol peaks. This feature was not present in the spectra of the vapors from Chinese spirits (Dong et al, 2014a(Dong et al, , 2014b. Previous studies also found many other components in the vapors from Chinese vinegars that were not observed in the current experiment (Li et al, 2005;Miao et al, 2010;Wang et al, 2012), which may be due to both the weak absorbance characteristics of these components and the overlap with other strong absorbance peaks.…”
Section: Resultscontrasting
confidence: 50%
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“…In our previous studies, we successfully used infrared spectroscopy for gas measurements during grape or strawberry storage and food fermentation. This technique has the significant advantages of being able to provide nonintrusive, rapid and continuous online monitoring [4, 10, 12, 13]. Feature spectra of alcohols and esters were achieved and applied to discriminate grape spoilage [10].…”
Section: Introductionmentioning
confidence: 99%