The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Sensory characterization of specific wood smoke aromas and their contributions to smoked Cheddar cheese flavor
Abstract
This study characterized the sensory properties of different wood smokes and their application to smoked Cheddar cheese flavor. Sniff jars of wood smokes were created by exposing filter paper to 23°C smoke (cold smoke). Sensory attributes for nine wood smokes (apple, alder, cedar, cherry, hickory, maple, mesquite, oak, and pecan) were generated by a trained panel followed by projective mapping of the different wood smoke aromas. Four distinct wood smokes (mesquite, cherry, hickory, and cedar) were selected for cold smoking of 30 day old Cheddar cheeses. Cheeses were cold smoked at 23°C followed by descriptive analysis of flavor attributes using the trained panel. Nonparametric and parametric statistical analyses were applied to the collected data. Twelve attributes were selected to describe wood smoke aromas. The sensory descriptors for the cold smokes cited most often included: sweet aromatic, charcoal/charred, guaiacol, meaty, vanillin, and fresh tobacco. Mesquite, cherry, hickory, and cedar smokes were the most distinct smokes by projective mapping, and these smokes also imparted distinct flavors to smoked Cheddar cheeses. The mesquite smoked cheese was characterized by high smoke aroma and the highest meaty/brothy flavor, the cherry smoked cheese was distinguished by campfire/marshmallow flavor, the hickory smoked cheese had high campfire/marshmallow and meaty flavors, and the cedar smoked cheese was characterized by an intense resinous flavor. The determination of sensory properties of different wood smokes demonstrates the differences in specific smoke flavor contributions to cheese. Furthermore, the determination of the sensory properties specific to smoked cheese will provide a platform to understand consumer perception of smoked cheeses. Practical Applications: Smoked foods are a growing category. This study demonstrated that smokes from different wood sources have distinct aromas that can be differentiated and that these distinct smoke aromatics are imparted to cheeses exposed to different wood smokes. Results from this study provide a sensory language to differentiate aromatics from different wood smokes and may be useful to product developers and food manufacturers seeking to position and differentiate smoked foods.
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In the citing paper
“As with levels of individual FAA, levels of FFA found at any step of ripening are the outcome of catabolism and hydrolysis (Del Toro‐Gipson et al. 2020).”
From Optimizing the acceleration of Cheddar cheese ripening using response surface methodology by microbial protease without altering its quality features (2021) · cites this paper as Del Toro‐Gipson et al. 2020
In the citing paper
“In a comparison between ideal and commercial Cheddar cheese, catabolism of branched-chain, sulfur-containing FAA, and aromatic have been involved in the flavour development of cheese, resulting in the production of potent volatile aroma compounds that improve the cheese aroma (Del Toro‐Gipson et al. 2020).”
From Optimizing the acceleration of Cheddar cheese ripening using response surface methodology by microbial protease without altering its quality features (2021) · cites this paper as Del Toro‐Gipson et al. 2020
Citations
Cites
Meilgaard, M. C., Carr, B. T., & Carr, B. T. (2006) · CRC Press eBooks · doi:10.1201/b16452 · Cited by 4,377
Meilgaard, M. C., Carr, B. T., & Civille, G. V. (1999) · CRC Press eBooks · doi:10.1201/9781003040729 · Cited by 2,428
Development of a Descriptive Language for Cheddar Cheese
Drake, M. A., Mcingvale, S. C., Gerard, P. D., Cadwallader, K. R., & Civille, G. V. (2001) · Journal of Food Science · doi:10.1111/j.1365-2621.2001.tb15225.x · Cited by 222
Self-citationDrake, M. A., & Civille, G. V. (2003) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/j.1541-4337.2003.tb00013.x · Cited by 220
Self-citationNestrud, M. A., & Lawless, H. T. (2008) · Food Quality and Preference · doi:10.1016/j.foodqual.2008.01.001 · Cited by 140
Evaluation of sensory profiling and projective mapping data
Risvik, E., McEwan, J. A., & Rødbotten, M. (1997) · Food Quality and Preference · doi:10.1016/s0950-3293(96)00016-x · Cited by 137
Kennison, K. R., Wilkinson, K. L., Pollnitz, A. P., et al. (2009) · Australian Journal of Grape and Wine Research · doi:10.1111/j.1755-0238.2009.00056.x · Cited by 119
Torri, L., Dinnella, C., Recchia, A., Næs, T., Tuorila, H., & Monteleone, E. (2013) · Food Quality and Preference · doi:10.1016/j.foodqual.2013.01.006 · Cited by 118
Determination of a lexicon for the sensory flavor attributes of smoked food products
Jaffe, T. R., Wang, H., & Chambers, E. (2017) · Journal of Sensory Studies · doi:10.1111/joss.12262 · Cited by 47
Analysis and Comparison of Flavor Constituents in Aqueous Smoke Condensates from Various Woods
Fujimaki, M., Kim, K., & KURATA, T. (1974) · Agricultural and Biological Chemistry · doi:10.1271/bbb1961.38.45 · Cited by 41
Wang, H., & Chambers, E. (2018) · Molecules · doi:10.3390/molecules23040780 · Cited by 41
IMPACT OF SERVING TEMPERATURE ON TRAINED PANEL PERCEPTION OF CHEDDAR CHEESE FLAVOR ATTRIBUTES
Drake, M. A., Yates, M. D., & Gerard, P. D. (2005) · Journal of Sensory Studies · doi:10.1111/j.1745-459x.2005.00013.x · Cited by 38
Self-citationKim, K., Kurata, T., & Fujimaki, M. (1974) · Agricultural and Biological Chemistry · doi:10.1080/00021369.1974.10861117 · Cited by 37
Isolation and identification of the components of the tar of hickory wood smoke
Hruza, D. E., Praag, M. V., & Heinsohn, H. (1974) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf60191a010 · Cited by 34
Chemical references in sensory analysis of smoke flavourings
Ojeda, M., Bárcenas, P., Elortondo, F. J. P., et al. (2002) · Food Chemistry · doi:10.1016/s0308-8146(02)00154-1 · Cited by 34
Wang, H., Chambers, E., & Kan, J. (2018) · Molecules · doi:10.3390/molecules23081867 · Cited by 32
The Effect of Application of Cold Natural Smoke on the Ripening of Cheddar Cheese
Shakeel-ur-Rehman, Farkye, N. Y., & Drake, M. A. (2003) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(03)73777-1 · Cited by 29
Self-citationFractionation and Study of Compounds in Wood Smoke
PORTER, R. W., Bratzler, L. J., & PEARSON, A. M. (1965) · Journal of Food Science · doi:10.1111/j.1365-2621.1965.tb01812.x · Cited by 26
Wang, H., Xiao, Z., Suo, H., et al. (2018) · Journal of Sensory Studies · doi:10.1111/joss.12475 · Cited by 26
Guillén, M. D., & Manzanos, M. J. (2005) · Flavour and Fragrance Journal · doi:10.1002/ffj.1599 · Cited by 24
The Effect of Phenol Composition on the Sensory Profile of Smoke Affected Wines
Kelly, D., & Zerihun, A. (2015) · Molecules · doi:10.3390/molecules20069536 · Cited by 23
Swaney‐Stueve, M., Talavera, M. J., Jepsen, T., et al. (2019) · Journal of Food Science · doi:10.1111/1750-3841.14469 · Cited by 23
Contribution of Phenolic Compounds to Smoke Flavor
Maga, J. A. (1992) · ACS symposium series · doi:10.1021/bk-1992-0506.ch013 · Cited by 20
Analysis and Comparison of Flavor Constituents in Aqueous Smoke Condensates from Various Woods
Fujimaki, M., Kim, K., & KURATA, T. (1974) · Agricultural and Biological Chemistry · doi:10.1080/00021369.1974.10861116 · Cited by 19
AROMA INTENSITIES OF VARIOUS WOOD SMOKE FRACTIONS
Maga, J. A., & Fapojuwo, O. O. (1986) · Journal of Sensory Studies · doi:10.1111/j.1745-459x.1986.tb00155.x · Cited by 12
Sikorski, Z. E., & Kołakowski, E. (2010) · doi:10.1002/9780813820897.ch12 · Cited by 11
Sensory characteristics of chemical compounds potentially associated with smoky aroma in foods
Chambers, D. H., Chambers, E., Seitz, L. M., et al. (1998) · Developments in food science · doi:10.1016/s0167-4501(98)80045-9 · Cited by 10
Research works printed but not linked: 1
- Maga J. A., 1988, Smoke in food processing
Cited by
Sorted by citations
Alhelli, A. M., Mohammed, N. K., Khalil, E. S., & Hussin, A. S. M. (2021) · AMB Express · doi:10.1186/s13568-021-01205-9 · Cited by 23
Metadata
- Authors
- Del Toro‐Gipson, R. S., Rizzo, P. V., Hanson, D. J., & Drake, M.
- Affiliations
- Department of Food, Bioprocessing and Nutrition Sciences Southeast Dairy Foods Research Center, North Carolina State University Raleigh North Carolina
- North Carolina State University (US)
- Corresponding author
- Drake, MaryAnne
- Venue
- Journal of Sensory Studies
- Publisher
- Wiley
- Published
- 2020-02-07
- Volume
- 35
- Issue
- 3
- ISSN
- 0887-8250 (ISSN-L)
- 1745-459X
- OpenAlex
- W3005077438
- Cited by
- 15
- References
- 27
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2023: 2 · 2022: 4 · 2021: 3 · 2020: 2
- FWCI
- 1.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Sensory Studies (publishedVersion)
- Funders
- Hilmar Cheese
- Dairy West
- National Dairy Council
- Topics
- Life Sciences › Agricultural and Biological Sciences › Food Science › Sensory Analysis and Statistical Methods
- Life Sciences › Agricultural and Biological Sciences › Food Science › Fermentation and Sensory Analysis
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Meat and Animal Product Quality
- Keywords
- cold smoking, sensory characterization, projective mapping, guaiacol, smoked foods, consumer perception
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