@article{MTMT:30563233, title = {Sensory acceptance of poppy seed-flavored white chocolates using just-about-right method}, url = {https://m2.mtmt.hu/api/publication/30563233}, author = {Zay, Katalin and Gere, Attila}, doi = {10.1016/j.lwt.2018.12.069}, journal-iso = {LWT-FOOD SCI TECHNOL}, journal = {LWT-FOOD SCIENCE AND TECHNOLOGY}, volume = {103}, unique-id = {30563233}, issn = {0023-6438}, abstract = {Chocolate is an everyday sweet, consumed regularly by a huge consumer segment. Different flavorings are present on the market, one of the leading ones is the hazelnut. New alternatives should be introduced due to the increasing hazel-allergy. Poppy seed is a viable option due to its beneficial nutritional profile. Different poppy seed-flavored chocolates (15) were tested by 42 consumers in a three-week period using just-about-right (JAR) sensory method. Evaluation of liking variables showed significant differences between the samples. Correlation between liking variables showed that overall liking is determined mainly by flavor and texture attributes. Internal preference mapping showed that conching decreased the overall liking. The most liked product proved to be the 2 g/100 g whole poppy seed containing white chocolate sample. Highest differences between the conched and non-conched samples were found in the case of the liking of taste, i.e. the rejection of conching is suggested. inot enough color- and global taste intensity were the key issues with the most liked products as proved by the generalized pair correlation method (GPCM). The poppy seed-flavored chocolates are generally welcomed by consumers and may be a viable replacement option of hazelnut.}, keywords = {Product development; consumer; Internal preference mapping; Generalized pair-correlation method; Conching}, year = {2019}, eissn = {1096-1127}, pages = {162-168}, orcid-numbers = {Zay, Katalin/0000-0003-3075-1561; Gere, Attila/0000-0003-3075-1561} } @{MTMT:30766663, title = {Consumer Response to Insect Foods}, url = {https://m2.mtmt.hu/api/publication/30766663}, author = {Gere, Attila and Zemel, Ryan and Radványi, Dalma and Moskowitz, Howard}, booktitle = {Reference Module in Food Science. Food Chemistry and Analysis}, doi = {10.1016/B978-0-08-100596-5.21881-7}, unique-id = {30766663}, year = {2018}, pages = {1-6}, orcid-numbers = {Gere, Attila/0000-0003-3075-1561} } @article{MTMT:3153415, title = {Which Just-About-Right feature should be changed if evaluations deviate? A case study using sum of ranking differences}, url = {https://m2.mtmt.hu/api/publication/3153415}, author = {Gere, Attila and Sipos, László and Kovács, Sándor and Kókai, Zoltán and Héberger, Károly}, doi = {10.1016/j.chemolab.2016.12.007}, journal-iso = {CHEMOMETR INTELL LAB}, journal = {CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS}, volume = {161}, unique-id = {3153415}, issn = {0169-7439}, abstract = {Abstract Several different approaches have been introduced for analysis of just-about-right (JAR) data; however, their results are sometimes deviating or even contradictory. More reliable results are gained, if a consensus of many methods is determined. A specific approach is presented to compare and select JAR attributes of food products. Overall liking was set as dependent (Y) variable and the JAR variables were used as independent (X) variables for regression methods. The mean drop value, difference between the mean overall liking of the attribute as optimum (or JAR) and that of mean overall liking of the attribute as an extreme, i.e. too much and not enough, was used for penalty analysis and its variants. Generalized Pair Correlation Method (GPCM) compares the impact of the JAR variables on overall liking pairwise and the probability weighted difference ordering was applied for ordering the attributes. A special data fusion is suggested based on the sum of ranking differences (SRD), primarily developed for method comparison. SRD method was able to rank the JAR variables based on their differences from a benchmark defined by all of the JAR evaluation methods in maximal performance. This enables also to group the product attributes. Moreover, it gives recommendations for how to optimize the products based on the results of several JAR methods and helps to gain a more reliable evaluation and selection of JAR attributes. The significant features can be identified easily when the SRD procedure is completed by the frequencies of consumer evaluations. The same data matrix transposed is suitable to rank the evaluation methods using the average of all evaluation methods (consensus). From among the JAR evaluation techniques, GPCM proved to be closest to the average, i.e. it can be used for substitution of the other techniques.}, keywords = {Product optimization; data fusion, method evaluation; ranking of JAR attributes; attribute selection; Just-about-right scale}, year = {2017}, eissn = {1873-3239}, pages = {130-135}, orcid-numbers = {Gere, Attila/0000-0003-3075-1561; Sipos, László/0000-0002-4584-6697; Kókai, Zoltán/0000-0002-1158-721X} } @article{MTMT:2871024, title = {Generalized Pairwise Correlation and method comparison: Impact assessment for JAR attributes on overall liking}, url = {https://m2.mtmt.hu/api/publication/2871024}, author = {Gere, Attila and Sipos, László and Héberger, Károly}, doi = {10.1016/j.foodqual.2015.02.017}, journal-iso = {FOOD QUAL PREFER}, journal = {FOOD QUALITY AND PREFERENCE}, volume = {43}, unique-id = {2871024}, issn = {0950-3293}, year = {2015}, eissn = {1873-6343}, pages = {88-96}, orcid-numbers = {Gere, Attila/0000-0003-3075-1561; Sipos, László/0000-0002-4584-6697} } @article{MTMT:1373578, title = {Generalization of pair correlation method (PCM) for nonparametric variable selection}, url = {https://m2.mtmt.hu/api/publication/1373578}, author = {Héberger, Károly and Rajkó, Róbert}, doi = {10.1002/cem.748}, journal-iso = {J CHEMOMETR}, journal = {JOURNAL OF CHEMOMETRICS}, volume = {16}, unique-id = {1373578}, issn = {0886-9383}, year = {2002}, eissn = {1099-128X}, pages = {436-443}, orcid-numbers = {Rajkó, Róbert/0000-0002-6234-658X} } @article{MTMT:1373580, title = {Conditional Fisher's exact test as a selection criterion for pair-correlation method. Type I and Type II errors}, url = {https://m2.mtmt.hu/api/publication/1373580}, author = {Rajkó, Róbert and Héberger, Károly}, doi = {10.1016/S0169-7439(01)00101-0}, journal-iso = {CHEMOMETR INTELL LAB}, journal = {CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS}, volume = {57}, unique-id = {1373580}, issn = {0169-7439}, year = {2001}, eissn = {1873-3239}, pages = {1-14}, orcid-numbers = {Rajkó, Róbert/0000-0002-6234-658X} }