2020
DOI: 10.1016/j.foodqual.2018.12.004
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Influence of fading duration on TCATA evaluation

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Cited by 8 publications
(10 citation statements)
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“…Additionally, TCATA has proven effective in the temporal profiling of various sweeteners when evaluated on their own (Reyes, Castura, & Hayes, 2017; Tan et al, 2019), or in beverage applications (Ares et al, 2015; Parker et al, 2018). In terms of exercise execution, there is a general agreement that studies with trained assessors unsurprisingly provide better sample discrimination than untrained consumers; however, these effects may be mitigated for untrained consumers through the employment of manageable attribute list sizes and familiarization with the TCATA task (Jaeger et al, 2017; Jaeger et al, 2018; Rizo, Vidák, Fiszman, & Tarrega, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, TCATA has proven effective in the temporal profiling of various sweeteners when evaluated on their own (Reyes, Castura, & Hayes, 2017; Tan et al, 2019), or in beverage applications (Ares et al, 2015; Parker et al, 2018). In terms of exercise execution, there is a general agreement that studies with trained assessors unsurprisingly provide better sample discrimination than untrained consumers; however, these effects may be mitigated for untrained consumers through the employment of manageable attribute list sizes and familiarization with the TCATA task (Jaeger et al, 2017; Jaeger et al, 2018; Rizo, Vidák, Fiszman, & Tarrega, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…This process allows assessors to focus solely on the selection of relevant attributes, omitting the need to also focus on the deselection of nonrelevant attributes. This modification has led to debate over the application of TCATA Fading and considerations for its use (Ares et al., 2016; Castura, Antúnez, et al., 2016; Jaeger et al., 2018; Rizo et al., 2020; Vidal et al., 2017). Ares et al.…”
Section: Past—the Evolution Of Temporal Methodsmentioning
confidence: 99%
“…This process allows assessors to focus solely on the selection of relevant attributes, omitting the need to also focus on the deselection of nonrelevant attributes. This modification has led to debate over the application of TCATA Fading and considerations for its use (Ares et al, 2016;Castura, Antúnez, et al, 2016;Jaeger et al, 2018;Rizo et al, 2020;Vidal et al, 2017). Ares et al (2016) reported that TCATA fading can improve discrimination and provide a more accurate description of dynamic sensory charactertistics than when panelists are tasked to deselect attributes that are no longer present.…”
Section: 43mentioning
confidence: 99%
“…TCATA Fading and TDS by modality (M-TDS) might overcome current drawbacks of TDS and TCATA, and might simplify the tasks, reduce noise in data and increase the sensitivity of TDS and TCATA measurements. TCATA Fading, where applicable sensory attributes gradually deselect over a predefined period, could assist and simplify attribute selections in TCATA and induce better dynamic characterization of the multisensory experience of a consumer (Ares et al, 2016;Rizo, Vidák, Fiszman, & Tarrega, 2020). M-TDS allows simultaneous selection of a dominant sensory attribute from different modalities (taste and texture), and might provide a more detailed description of sensory perceptions during consumption compared to TDS.…”
mentioning
confidence: 99%
“…become deselected) after a predefined time. Once a sensory attribute fades the consumer can choose to reselect the sensory attribute when it is still applicable at that moment in time, reducing 'fake' applicability ratings in TCATA (Ares et al, 2016;Rizo et al, 2020). Lower peaks in citation proportions of sensory attributes have been observed in TCATA Fading compared to TCATA, suggesting that there is an overestimation of sensory attribute citation durations in TCATA (Rizo et al, 2020).…”
mentioning
confidence: 99%