2021
DOI: 10.1016/j.foodhyd.2020.106522
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Friction measurements of model saliva-wine solutions between polydimethylsiloxane surfaces

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Cited by 10 publications
(4 citation statements)
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“…The strongest correlation ( r = 0.987) between the astringency intensity of cigarettes and the CoF of MS was noted under the operational conditions of 1.0 N load and 0.05 mm/s sliding speed. This positive correlation between CoF and astringency intensity suggests that astringency is predominantly a tactile sensory feature, potentially linked to changes in the lubrication state of the tongue caused by salivary protein depletion (Brossard et al, 2016; Edmonds et al, 2021). Therefore, the operational parameters of 1.0 N load and 0.05 mm/s sliding speed are recommended for evaluating cigarette astringency.…”
Section: Resultsmentioning
confidence: 99%
“…The strongest correlation ( r = 0.987) between the astringency intensity of cigarettes and the CoF of MS was noted under the operational conditions of 1.0 N load and 0.05 mm/s sliding speed. This positive correlation between CoF and astringency intensity suggests that astringency is predominantly a tactile sensory feature, potentially linked to changes in the lubrication state of the tongue caused by salivary protein depletion (Brossard et al, 2016; Edmonds et al, 2021). Therefore, the operational parameters of 1.0 N load and 0.05 mm/s sliding speed are recommended for evaluating cigarette astringency.…”
Section: Resultsmentioning
confidence: 99%
“…Indeed, the study of particle size by DLS proved that larger polyphenols increased precipitation and therefore lubrication loss (Rudge et al., 2021), confirming that polyphenols' molecular mass together with their concentration are the drivers of lubrication loss, and that the interaction involves mainly PRPs differently from other salivary proteins, such as mucins (Edmonds et al., 2021; Rudge et al., 2021; Watrelot et al., 2019). In fact, even if the number of aggregates may influence the intensity of astringency, Brossard and colleagues (2021) showed that their characteristics in term of shape (such as roundness), size (as Feret diameter), and texture may drive the different astringency subqualities.…”
Section: Correlation Between Sensory Mouthfeel Subqualities and Instr...mentioning
confidence: 92%
“…Among sensory analysis methods, descriptive analysis (DA) (Pickering & Robert, 2006;Pittari et al, 2020;White & Heymann, 2015), check-all-that-apply (CATA) (Vidal et al, 2018), and rate-all-that-apply (RATA) (Rinaldi et al, 2019) were found to be the most common. For the instrumental techniques, the main applications were about tribology, rheology, turbidity, and particle size measurement (Brossard et al, 2020(Brossard et al, , 2021Danner et al, 2019;Edmonds et al, 2021;Rudge et al, 2021;Shehadeh et al, 2019;Wang et al, 2020Wang et al, , 2021Watrelot et al, 2019;Yanniotis et al, 2007).…”
Section: Main Aims In the Study Of Mouthfeel Subqualitiesmentioning
confidence: 99%
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