The DOI matches its Crossref record.
Determination and Origin of the Aroma Impact Compounds of Yogurt Flavor
Abstract
Yogurt exhibits a delicate and low intense flavor which requires mild sample isolation techniques and sensitive identification means. This paper decribes the application of two new flavor separation techniques: combined static and dynamic headspace, and preparative simultaneous distillation−extraction under vacuum. Of the 91 components identified by mass spectrometry, 21 were found to have a major impact on the aroma using a new method for the treatment of GC−sniffing data. One of these compounds, 1-nonen-3-one, was identified by spectral means for the first time in a flavor. Its odor detection threshold of 8 pg/kg appears to be one of the lowest among known flavor compounds. On the basis of the peak areas of yogurt and milk aromagrams, some compounds seem to be already present in milk, others appear to be generated by the strains. Keywords: Yogurt aroma; headspace; GC−olfactometry; impact-compound; composition
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Scientific and Technical Aspects of Yogurt Aroma and Taste: A Review
Routray, W., & Mishra, H. N. (2011) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/j.1541-4337.2011.00151.x · Cited by 275
A review of selection criteria for starter culture development in the food fermentation industry
Vinicius De Melo Pereira, G., De Carvalho Neto, D. P., Junqueira, A. C. D. O., Karp, S. G., Letti, L. A. J., Magalhães Júnior, A. I., & Soccol, C. R. (2020) · Food Reviews International · doi:10.1080/87559129.2019.1630636 · Cited by 189
Salmerón, I., Thomas, K., & Pandiella, S. S. (2015) · Journal of Functional Foods · doi:10.1016/j.jff.2015.03.012 · Cited by 165
Olfactometry Profiles and Quantitation of Volatile Sulfur Compounds of Swiss Tilsit Cheeses
Fuchsmann, P., Stern, M. T., Brügger, Y.-A., & Breme, K. (2015) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.5b02536 · Cited by 40
Metadata
- Authors
- Ott, A., Fay, L. B., & Chaintreau, A.
- Venue
- Journal of Agricultural and Food Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 1997-03-01
- Volume
- 45
- Issue
- 3
- Pages
- 850-858
- ISSN
- 0021-8561 (ISSN-L)
- 1520-5118
- OpenAlex
- W2023842736
- Cited by
- 229
- References
- 0
- FWCI
- 8.40
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
