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Discrimination of five brands of instant vermicelli seasonings by HS-SPME/GC-MS and electronic nose.
| Content Provider | Europe PMC |
|---|---|
| Author | Shen, Huishan Wei, Teng Zhang, Zhiwei Zheng, Qianna Guo, Rui Jiang, Hao Zhang, Guoquan Zheng, Jianmei |
| Abstract | The flavor profile of five brands of instant vermicelli seasonings were identified by headspace solid-phase micro-extraction coupled with gas chromatography–mass spectrometry (HS-SPME/GC–MS) and electronic nose (e-nose). GC–MS showed that the volatile compounds of instant vermicelli seasonings were significantly different. Alkenes, alcohols, aldehydes and ketones were the major volatile compounds in instant vermicelli seasonings. The seasonings could be classified based on differences in volatile compounds. The overall volatiles profiles were also analyzed by e-nose. E-nose determination and GC–MS statistical analysis had similar results. The volatile compounds showed good correlation with e-nose sensors according to partial least square regression models. Both methods had good potential application in evaluating flavor quality and differentiating among instant vermicelli seasonings. Electronic supplementary material The online version of this article (10.1007/s13197-020-04454-x) contains supplementary material, which is available to authorized users. |
| Related Links | https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7520495&blobtype=pdf |
| ISSN | 00221155 |
| Volume Number | 57 |
| DOI | 10.1007/s13197-020-04454-x |
| PubMed Central reference number | PMC7520495 |
| Issue Number | 11 |
| PubMed reference number | 33071337 |
| Journal | Journal of Food Science and Technology [J Food Sci Technol] |
| e-ISSN | 09758402 |
| Language | English |
| Publisher | Springer India |
| Publisher Date | 2020-04-30 |
| Publisher Place | New Delhi |
| Access Restriction | Open |
| Rights License | © Association of Food Scientists & Technologists (India) 2020 |
| Subject Keyword | Instant vermicelli seasoning Volatile compounds Gas chromatography–mass spectrometry Electronic nose Principal component analysis Partial least square regression |
| Content Type | Text |
| Resource Type | Article |
| Subject | Food Science |