4.7 Article

Coupled multidimensional GC and odor activity value calculation to identify off-odors in thermally processed muskmelon juice

期刊

FOOD CHEMISTRY
卷 301, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2019.125307

关键词

Muskmelon juice; Thermal processing; Off-notes; Comprehensive multidimensional gas chromatography with quadrupole-time-of-flight mass spectrometry (GC x GC-QTOF-MS); Gas chromatography-olfactometry (GC-O); Static headspace dilution analysis (SHDA); Aroma extract dilution analysis (AEDA); Odor activity value (OAV)

资金

  1. University of Illinois
  2. National Natural Science Foundation of China [31601483]
  3. Agricultural Science and Technology Innovation Program [ASTIP-TRIC06]
  4. Open Project Program of Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University [SPFW-2018-YB03]
  5. Fundamental Research Funds for Central Non-profit Scientific Institution [Y2018PT33]

向作者/读者索取更多资源

Predominant contributors to thermally-induced off-notes in muskmelon juice were investigated by combination of sensory evaluation, GC-olfactometry (GC-O), multidimensional GC, odor activity value (OAV) calculation and addition experiments. Fermented and sulfurous were revealed as the dominant heat-induced offensive off-notes, and fundamental heat-led changes in odorant compositions were observed. Comparative aroma extract dilution analysis revealed that the off-flavors were mainly caused by newly heat-formed compounds with extremely low odor threshold and unpleasant smells. These included volatile sulfur compounds with rotten odors, Strecker aldehydes having fermented notes, and heterocyclics exhibiting roasted smells. Specifically, dimethyl sulfide, methional, methanethiol, dimethyl trisulfide, dimethyl disulfide, and acetaldehyde were identified as the predominant off-note contributors, among which DMS was the most important one, showing the highest OAV. Multiple extraction techniques, GC-O coupling to GC x GC-QTOF-MS and OAV calculation are powerful tools for accurate location and reliable identification of trace and key off-odorants in natural complex matrices.

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