We found 10 papers published in February 2022 by members of Compusense's academic consortium!
There are people who advocate for using trained panels to do sensory descriptive analysis. There are people who advocate for using consumers to profile products using methods that do not require training. We are not dogmatic on this point, because we know that one approach does not give results that are universally faster, cheaper, or better than the other. Which method is better depends on the question that needs to be answered and on the context. Not only that, but in some contexts the best answer will be “neither” and in other contexts the best answer will be “both”. Now suppose the goal is to uncover the hedonic drivers. Are consumers’ hedonic responses better explained by sensory descriptive analysis or by consumers’ own free comments? That question is investigated in a newly published paper by Park et al. (2022) called “Consumers better explained drivers of liking for products containing complex flavor with subtle differences than trained panelists”. Consumers gave the hedonic responses and stated what they liked and disliked in free comments. The authors find that consumers’ statements about what they liked and disliked explained their own hedonic responses better than a separate sensory descriptive analysis panel do. But don’t toss sensory descriptive analysis into the dustbin of history. They also write: “Although the drivers of liking were better identified from the [free comment] results, the sensory drivers need to be more clearly understood as actionable information because most drivers of liking were concept associated rather than specific sensory information.” It turns out that consumer hedonic drivers were conceptual, such as “harmonious”, so it was not obvious what consumers meant. The authors speculated that sensory descriptive analysis might help to sort that out, eventually. Read this and other fine February papers from members of the Compusense Academic Consortium.
Title : Consumers better explained drivers of liking for products containing complex flavor with subtle differences than trained panelists: Comparison between consumer‐driven free‐comment analysis and descriptive analysis of tomato sauce with added garlic flavorings
Authors : Park, S.H., Lee, S.H., Seo, W.H., Shin, W., & Hong, J.H.
Title : Kefir with artificial and natural dyes: Assessment of consumer knowledge, attitude, and emotional profile using emojis
Authors : Anna Carolina G. Penna, Bruna B. Durço, Monica M. Pagani, Tatiana C. Pimentel, Eliane T. Mársico, Adriana C. O. Silva, Erick A. Esmerino
Link : https://onlinelibrary.wiley.com/doi/abs/10.1111/joss.12734
Title : Effect of labelling and information on consumer sensory acceptance, attitude, and quality ratings of foods labelled as 3D printed
Authors : Feng, Xiaoqin
Link : https://era.library.ualberta.ca/items/88045b1e-a4e6-4fbe-8392-685c4b78ccaf
Title : Effects of Ethanol, Tannin and Fructose on the Sensory and Chemical Properties of Washington State Merlot
Authors : Anne Carolyn Secor
Link : https://docslib.org/doc/3722961/effects-of-ethanol-tannin-and-fructose-on-the-sensory-and
Title : Impact of Botrytis cinerea-infected grapes on quality parameters of red wine made from withered grapes
Authors : J. Kelly, D. Inglis, L. Dowling, G. Pickering
Link : https://onlinelibrary.wiley.com/doi/abs/10.1111/ajgw.12545
Title : Perception of Gluten-Free Bread as Influenced by Information and Health and Taste Attitudes of Millennials
Authors : Nomzamo Magano, Gerrie du Rand, Henriette de Kock
Title : Identification of Non-Volatile Compounds That Impact Flavor Disliking of Whole Wheat Bread Made with Aged Flours
Authors : Wen Cong, Edisson Tello, Christopher T. Simons and Devin G. Peterson
Title : Visualizing dynamic (after) taste effects by means of time‐discrete TCATA data analysis
Authors : Eduard Derks, Shalla Ramnarain, Tristan Zhang, Rudi van Doorn, Marieke Nijmeijer, Marco van den Berg
Link : https://onlinelibrary.wiley.com/doi/full/10.1111/joss.12737
Title : Comparison of key aroma-active composition and aroma perception of cold-pressed and roasted peanut oils
Authors : Wen-ting Yin, Washington Maradza, Yi-fan Xu, Xue-ting Ma, Rui Shi, Ren-yong Zhao, Xue-de Wang
Link : https://ifst.onlinelibrary.wiley.com/doi/abs/10.1111/ijfs.15615
Title : The effect of high-polyphenol sumac on food intake in younger and older adults, using sensory and appetite analysis
Authors : Soleymani Majd, Nasim
Link : https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.847450
Email: info@compusense.com
1 800 367 6666 (North America)
1 519 836 9993 (International)
412 Laird Road Unit #104
Guelph, ON
Canada N1G 3X7
Quality test methods are used to evaluate a product based on its sensory attributes and overall consumer perception to ensure it meets certain standards of excellence and consistency. These methods provide a consumer-centric assessment of product quality, ensure consistency and adherence to quality standards and drive continuous improvement and customer satisfaction. Examples include, but are not limited to, Shelf Life, Degree of Difference,
Difference from Control, In/Out, etc.
Quality test methods are used to evaluate a product based on its key attributes to ensure it meets specific standards of excellence for consistency. These methods provide an internal assessment of the product quality to adhere to quality standards and achieve customer satisfaction. Examples include, but are not limited to, Shelf-Life, Degree of Difference, Difference from Control, and In & Out methods.
Discrimination test methods are used to determine if there are noticeable differences or similarities between products. These methods enable effective differentiation between products, aid in quality control and assurance by identifying variations and deviations, as well as facilitate efficient decision-making based on objective data. Examples include, but are not limited to, Tetrad, Triangle, Duo-Trio, Paired Comparison, etc.
Discrimination testing methods are used to determine if there are noticeable differences or similarities between products. These methods enable effective differentiation between products, aid in quality control and assurance by identifying variations and deviations, as well as facilitate efficient decision-making based on objective data. Examples include, but are not limited to, Tetrad, Triangle, Duo-Trio, and Paired Comparison test methods.
Quality test methods are used to evaluate a product based on its sensory attributes and overall consumer perception to ensure it meets certain standards of excellence and consistency. These methods provide a consumer-centric assessment of product quality, ensure consistency and adherence to quality standards and drive continuous improvement and customer satisfaction. Examples include, but are not limited to, Shelf Life, Degree of Difference,
Difference from Control, In/Out, etc.
Quality test methods are used to evaluate a product based on its key attributes to ensure it meets specific standards of excellence for consistency. These methods provide an internal assessment of the product quality to adhere to quality standards and achieve customer satisfaction. Examples include, but are not limited to, Shelf-Life, Degree of Difference, Difference from Control, and In & Out methods.
