Next Article in Journal
Development of a 3D Printer for the Manufacture of Functional Food Protein Gels
Previous Article in Journal
Millennials’ Consumption of and Attitudes toward Meat and Plant-Based Meat Alternatives by Consumer Segment in Finland
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Temporal Sensory Profiles of Regular and Sodium-Reduced Foods Elicited by Temporal Dominance of Sensations (TDS) and Temporal Check-All-That-Apply (TCATA)

Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada
*
Author to whom correspondence should be addressed.
Foods 2022, 11(3), 457; https://doi.org/10.3390/foods11030457
Submission received: 31 December 2021 / Revised: 31 January 2022 / Accepted: 1 February 2022 / Published: 3 February 2022
(This article belongs to the Section Sensory and Consumer Sciences)

Abstract

:
Temporal sensory methods can be used to highlight the impact of sodium reduction on the dynamic sensory profile of foods targeted for sodium reduction. Study aims were to compare the temporal sensory attribute profiles of regular and sodium-reduced food products elicited by TDS and TCATA, over single and multiple oral intakes. A total of 20 semi-trained participants evaluated commercially available regular and sodium-reduced canned corn, cooked ham (single intakes), potato chips and cream of mushroom soup (5 intakes) using both TDS and TCATA. Regular and sodium-reduced products differed in not only salty but also other sensory attributes, noticeably dry for chips, sweet for corn, bitter and metallic for ham, thick, creamy, sweet, and starchy for soup. TDS and TCATA provided comparable information for the key sensory attributes characterizing and differentiating the regular and sodium-reduced products. TDS profiled significant differences between samples for a larger number of attributes than TCATA, while TCATA profiles were more consistent across intakes. Multiple intakes changed the duration of attribute dominance but not the number of significantly dominant attributes in TDS profiles. The current findings provide insight for applications of temporal profiling to other food products and development of sodium-reduced foods with attribute profiles acceptable to consumers.

1. Introduction

Excessive sodium intake has been linked to negative health consequences [1,2]. The majority of dietary sodium in high and upper-middle income countries, including Canada [3] and the United States [4], comes from packaged and prepared foods such as bread and processed cereal products, processed meats, cheese, salty snack foods, condiments and soups [1,5,6,7].
Globally, the food industry has made efforts to reduce sodium levels in processed food products [8] using a range of strategies, including gradual sodium reduction, the use of salt substitutes or flavour enhancers, changes in the morphology and size of salt crystals and improvement of salt diffusion by modification of the food matrix [9,10,11]. However, the commercial success of sodium-reduced food products is limited as sodium reduction not only affects salty taste but also other product sensory attributes [9,12,13] that are important contributors to consumer preference and satisfaction with foods [14].
Food sensory perception is a dynamic phenomenon in which perceived sensory attributes change with the in-mouth transformation of the food [15]. Sensory data collected using static methods, in which assessors rate the perceived intensity of each attribute only once throughout the evaluation, may omit relevant information to understand consumer preferences [16]. Most previous studies involving sodium-reduced food products have used static approaches for the sensory characterization of products rather than dynamic methodologies. However, in the last decade, an increasing number of studies have addressed the effect of salt reduction on the temporal sensory profile of different food categories such as sausages and ham, cheese, cream cheese, butter, margarine, bread and shoestring potatoes [17,18,19,20,21,22,23,24,25,26,27,28]. Temporal sensory methods have proven useful for understanding the impact of sodium reduction during reformulation processes [10].
Among the current temporal sensory profiling methods [29], Time Intensity (TI), Temporal Dominance of Sensations (TDS) and Temporal Check-All-That-Apply (TCATA) have been applied to the evaluation of sodium-reduced products. Temporal changes in multiple sensory attributes can be concurrently evaluated by TDS and TCATA. TDS was originally proposed as a multi-attribute temporal sensory method that scaled the intensities of a sequence of dominant attributes [30]. A variant of TDS [31], in which the dominant attribute is selected without scaling its intensity, has been widely used. TCATA is a more recent temporal method used to generate a continuous description of the sensory characteristics concurrently perceived in products [28,32]. TDS and TCATA have been compared across several product categories [33,34,35,36,37,38,39,40], but with limited application to regular and sodium-reduced foods [22,41]. The application of these temporal methods to highlight the impact of sodium reduction on the dynamic sensory profile of different product categories is warranted.
Additionally, multiple intake evaluations are thought to better reflect the sensory experience during real consumption settings than single-intake assessments. Previous studies reported significant differences in the TDS profiles among intakes for beer [42], wine and cheese [43,44,45,46], milkshake [47] and orange juice [48]. Multi-sip/bite evaluations may provide greater insight of the differences between regular and sodium-reduced product temporal profiles.
The objectives of this study were (1) to compare temporal sensory profiles between commonly consumed salty food products available in the marketplace and their sodium-reduced counterparts, and (2) to compare the TDS and TCATA temporal sensory profiles of these products, over single and multiple intakes.

2. Materials and Methods

Participants. Participants were recruited at the University of Alberta (Edmonton, Canada) and were 18+ years of age and regular consumers of the study products. Exclusion criteria included smoking, pregnancy or having a thyroid condition. Interested participants (n = 45) completed a series of sensory acuity screening tests including basic taste identification, odor identification, food product description and PROP taster status, in a 20-minute session [49]. A total of 20 participants (15 females, 18–49 years) were selected for the panel based on the screening test results. The study protocol was approved by a Research Ethics Board at the University of Alberta. Participants completed written informed consent and received a gift card in acknowledgement of their time and contribution to the study.
Food samples and preparation. Four pairs of commonly consumed food products were selected to represent a range of regular and sodium-reduced processed foods available in the Canadian marketplace: potato chips, cooked ham, canned corn, and cream of mushroom soup. Product information, sodium content and the amount of sample assessors received for each product evaluation are presented in Table 1. Moreover, 5 potato chips, 1 chip for each intake, were served in 162 mL clear plastic cups with lids. The hams were sliced into 0.3 × 2 × 4 (cm) pieces and served in a 162 mL clear plastic cup with a lid. Canned corn was heated, and 10 corn kernels were served in a 50 mL clear jar with a lid. Soup samples were prepared with 2% partly skimmed milk following the manufacturer’s instruction, and 60 mL of soup were served in 125 mL clear jars with lids (a 10 mL spoon was used for each soup bite evaluation). Corn and soup samples were kept at 60 °C in a water bath before serving. Chips and ham were served at room temperature. All samples were blinded with random 3-digit codes. Distilled water and unsalted crackers were provided to cleanse the palate between samples.
Temporal sensory characterization of regular and sodium-reduced products. Participants attended 6 1-h sessions to generate the lists of attributes, standardize the tasting protocol and become familiar with the use of Compusense Cloud (Compusense, Inc., Guelph, ON, Canada) on a tablet to generate TDS [30] and TCATA [32] temporal sensory profiles. For TDS, assessors indicated the dominant sensation in the sample at each moment [30]. For TCATA, assessors checked the listed terms to describe the sensory attributes perceived in the sample at each moment. TCATA fading with an 8.0 s fade time [28] was used, thus it was not necessary to uncheck term.
Food product attribute lists included flavour and texture descriptors (Table 2) and were identical for TDS and TCATA evaluations. The number of attributes ranged from 8 to 12, in line with literature recommendations [29,31,50]. Participants placed the entire sample in the mouth and evaluated it for up to 60 seconds; they could stop the evaluation prior to this timepoint if no sensation was perceived. Swallowing timepoints were used as a reminder to swallow the sample according to time defined by consensus in the standardization of the tasting protocol (Table 1) [16,29]. Participants were instructed to chew the sample as usual and swallow when the message “Swallow” displayed on the screen. Corn and ham were assessed by single-intake evaluation while multi-intake evaluation was used for chips (5 bites) and soup (5 sips).
A within-subject experimental design was used; each participant assessed the temporal sensory profiles of the two samples of each product in triplicate. TDS and TCATA evaluations were completed on different days with randomized orders among participants; two study samples and one warm-up sample for each product were evaluated on each day. Participants waited at least 1 minute between the samples and took a 5-minute break between products. The order of attributes in the attribute list, the sample orders for each product and the orders of product types were balanced among participants using Williams’ Latin square designs.
Data analysis. To remove individual differences in mastication rates, the data from each participant in each replicate (judgement) was standardized according to individual mastication durations; timing began when the first attribute was selected [51]. TDS data were analyzed as recommended by Pineau et al. (2009). TCATA data were analyzed as recommended by Castura et al. (2016). All data analyses were carried out using R version 3.4.1 [52]. TDS and TCATA curves (dominance rates against time for TDS and citation proportions against time for TCATA, respectively), and product trajectories for multi-intake evaluations of chips and soup were plotted using the tempR package [53]. Difference curves for pairs of regular and low sodium products were obtained by subtracting their dominance rates or citation proportions. A Fisher exact test was applied at each time point to determine statistical significance from zero (p ≤ 0.05), and significant difference curves were plotted. To obtain product trajectories, Principal Component Analysis (PCA) was conducted on data frames of mean citation proportions (TCATA) or dominance rates (TDS), in which each row is a Product*Time and each column is an Attribute [53].

3. Results and Discussion

3.1. Temporal Sensory Profiling of Regular and Sodium-Reduced Foods

The TDS and TCATA profiles provided similar information about the sensory attributes that characterized the regular and the sodium-reduced products throughout the evaluation period. The attributes reaching significant dominance rates in TDS profiles also showed high citation proportions in TCATA profiles, including crispy, dissolving, salty, potato, and heated oil for the regular chips, crispy, dry, dissolving, potato, and heated oil for the sodium-reduced chips (Figure 1a,b), crunchy, juicy, fibrous, corn and sweet for the regular and sodium-reduced corn (Figure 2a,b), chewy, tender, fibrous, juicy, salty, ham, umami, and metallic for the regular and sodium-reduced ham (Figure 3a,b), salty, cream flavour, mushroom, and umami for the regular soup, and thick, creamy, mushroom, cream flavour, starchy, and umami for the sodium-reduced soup (Figure 4a,b).
Texture attributes characterized products at the beginning of evaluation (i.e., crispy for chips, dry for sodium-reduced chips, crunchy and juicy for corn, chewy and tender for ham, and thick and creamy for sodium-reduced soup), and flavour attributes became more prominent during the chewing process, which aligns with previous studies on TDS evaluation of solid and semi-solid foods [22,54,55]. In the current study, this observation was consistent across both TDS and TCATA profiles of all of the foods evaluated.
However, some differences were observed between the two methods in attribute evolution during the evaluation period. For example, TDS and TCATA profiles of mushroom soup differed in the period of time during which the sensory attributes were relevant for characterizing samples (e.g., thick, creamy, cream flavour, mushroom, and starchy). Mushroom was highly cited during mid to late TCATA evaluation of both the regular and sodium-reduced soups, however, in the TDS evaluation this attribute evolved differently between the 2 soups (22–32% and 78–100% of the evaluation time for the regular soup, and 22–70% and several seconds at the end of the evaluation time for the sodium-reduced one). Similarly, the TDS and TCATA profiles of the sodium-reduced soup showed clear differences of starchy evolution throughout the evaluation period.
Aligning with observations of previous studies [22,33,36], TCATA provided more detailed description of concurrent sensory attributes at given timepoints. As only one attribute can be selected as dominant at evaluation time points during TDS evaluation, attribute curves more frequently fluctuated in TDS than TCATA profiles. For the regular chips (Figure 1a), dissolving and heated oil had comparable citation proportions near the mid evaluation in the TCATA profile, but only dissolving was significantly dominant at the same timepoint in the TDS profile and even reached the highest dominance rate within 25% to 40% of the evaluation time. Cooked for the regular corn and cooked and salty for the sodium-reduced corn reached citation proportions of more than 50% in the TCATA evaluation but were not significantly dominant in TDS (Figure 2a,b). For the sodium-reduced corn, crunchy and juicy, corn and sweet were sequentially dominant but had comparable citation proportions in early evaluation; corn was the most dominant attribute, fibrous was the second dominant attribute, and sweet was not significantly dominant in TDS, but all three attributes had comparable citations in TCATA in mid evaluation. Similar patterns were observed for crunchy, sweet, and juicy in early evaluation and for fibrous and sweet in mid and late evaluation of the regular corn. Smoky was highly cited throughout the TCATA profiles of the regular and sodium-reduced ham and showed comparable citation proportions to salty and ham at several timepoints (Figure 3a,b, left). However, during the TDS evaluation this attribute was significantly dominant only for the regular ham and during short time periods (at 45% and 80% of the evaluation time) (Figure 3a, right).

3.2. Comparison of Food Product Sensory Attribute Profiles Generated by TDS and TCATA

Differences in temporal sensory profiles of regular and sodium-reduced foods were product specific and depended on the temporal method used for the dynamic sensory characterization. While comparative similarities and differences in sample discrimination by TDS and TCATA are discussed in previous studies [33,34,35,36,37], the current results profile the discriminative ability of TDS and TCATA to compare sensory attribute profiles of regular and sodium-reduced foods. In this section, results of single-intake TCATA and TDS evaluations are described and compared for all of the four study food products.
TDS was more discriminative than TCATA in differentiating regular and sodium reduced foods. Despite greater participant consensus in selecting perceived attributes in TCATA than selecting the dominant attributes in TDS (greater percentages of choices), TDS detected significant differences between regular and sodium-reduced products for a greater number of attributes (Figure 1c, Figure 2c, Figure 3c and Figure 4c). The exception was the cream of mushroom soup for which TCATA detected significant differences between the regular and sodium-reduced soup for a smaller number of attributes but for longer periods of time than TDS; mushroom and cream flavor were more noticeable in the regular soup for TDS but not TCATA profiles (Figure 4c).
Sodium-reduced products were less characterized by salty than their regular counterparts in both TDS and TCATA evaluations of chips and soup, and in TDS but not TCATA evaluation of ham. Specifically, salty was highly cited during TCATA evaluation and significantly dominant for the majority of the evaluation time in TDS for the regular chips and soup, but not for sodium-reduced products (Figure 1 and Figure 4). Salty was the most cited and significantly dominant attribute in both the regular and sodium-reduced ham for the majority of the evaluation time; the significant differences between the regular and sodium-reduced hams were observed in TDS but not TCATA evaluation of ham (Figure 3). Similarly, regular chips and ham were perceived to be saltier than the sodium-reduced products in a previous study using a 3-point Rate-All-That-Apply scale [56].
In addition to salty, other sensory attributes were significantly different between the regular and sodium-reduced products. Greater dominance rates and citation proportions were observed for dry in the sodium-reduced chips (Figure 1c), metallic or bitter in the sodium-reduced ham (Figure 3c), and thick, creamy, sweet, and starchy in the sodium-reduced soup (Figure 4c).
There were many significant attribute differences between the regular and sodium-reduced ham in TDS, whereas bitter was the only attribute for which significant differences were found in the TCATA evaluation (Figure 3c). Bitter showed greater dominance rates, close to 40% of the evaluation time and greater citation proportions within 55% and 80% of evaluation time in the sodium-reduced than regular ham. Metallic was more noticeable in the sodium-reduced than the regular ham in late TDS evaluation, as reflected by the higher dominance rate observed in the TDS difference curve within 65% and 80% of standardized evaluation time. The partial replacement of sodium chloride with salt replacer potassium chloride in the current sodium-reduced ham (Table 1) enhanced the temporal perception of metallic and bitter tastes, confirming previous reports that potassium chloride induces metallic and bitter off-taste in processed meats [9,57,58]. The flavor of sodium-reduced ham was described as metallic in late TDS evaluation and as metallic and bitter in late TCATA evaluation, highlighting the information-rich dynamic description of the sensory characteristics of products by TCATA.
In contrast to the other study foods, salty was not a dominant attribute of regular corn in either the TDS or the TCATA evaluation. Although salty was not significantly dominant in TDS (area under significant level in Figure 2a,b, left), TDS and TCATA significant difference curves (Figure 2c) show greater dominance rates/citation proportions of salty in the sodium-reduced corn than in the regular formulation. Higher dominance rates were observed for sweet at several timepoints for the regular corn than the sodium-reduced corn (Figure 2, left). The influence of perceptual interactions of salty taste with other flavours contributes to sensory changes in sodium-reduced food products [13,59]. The increased perception of salty taste in the sodium reduced canned corn in both TDS and TCATA evaluations can be explained by the taste-taste interaction between sweet and salty. Saltiness at moderate intensities may enhance sweetness, and sweetness at moderate intensities suppresses salty taste [59]. The greater concentration of sodium chloride in the regular corn may enhance its sweet taste and subsequently mask salty taste perception, thus contributing to greater dominance rates of sweet in the TDS profile and smaller dominance rates/citation proportions of salty in the TDS/TCATA profile of the regular corn. For sodium-reduced food products in which sweetness is a desirable attribute, a decrease in sweet taste or an increase in salty taste could contribute to consumer preference changes through a change in the expected product temporal profiles.
For chip evaluations, except for salty throughout evaluation time and dry at specific timepoints, the other sensory attributes showed similar proportion citations between regular and sodium-reduced chips in TCATA profiles, whereas the TDS difference curves revealed significant differences in the dominance rate of crispy, greasy, potato, sweet and umami at specific timepoints (Figure 1c). Crispy showed the highest citation proportion/dominance rate for both regular and sodium-reduced chips in early evaluation. However, the sodium-reduced potato chips showed significantly higher dominance rates for crispy during a few seconds at the beginning of TDS evaluation but not for TCATA. On the other hand, dry, which showed lower dominance rates/citation proportions than crispy, significantly discriminated between the potato chips both in TDS and TCATA for longer periods of time. Potato showed the highest dominance rate in the sodium-reduced chips from about 22% standardized time onwards but, was not significantly dominant in the regular sample until about 40% standardized time and reached the highest dominance rate from mid-evaluation onwards.
In contrast to results from the present work, TCATA was reported to provide a more [33,34,35,36] or comparable [37] informative discrimination compared to TDS. The opposing observations of this study may be the result of differences in panel performance (trained panelists, experienced or inexperienced consumers), differences in product categories, the size of the differences between samples, and study objectives [16,29]. Some previous studies involved trained panelists [33,35,36] and others involved consumers [33,37], in which commercial samples of different brands or experimental research samples with tailored ingredient levels were differentiated by both TDS and TCATA. Differences among those samples would be larger than differences between the commercial regular and sodium-reduced formulations of the paired products of the same brand used in this study, differences which are minimized to be acceptable to consumers.

3.3. Multiple Intake Evaluation of Chips and Soup

Dynamic sensory product profiles elicited by TCATA and TDS were compared over multiple intakes for potato chips and cream of mushroom soup.
Product trajectories for regular and sodium-reduced chips showed parallel paths along the first dimension of the PCA map for both TDS (60.48%) and TCATA (61.47%) (Figure 5a). In both PCA maps, the first dimension was mainly associated with crispy in opposition to heated oil and potato. Both potato chips were characterized by crispy in early evaluation and by heated oil and potato in late evaluation (Figures S1 and S2). The second dimension of the PCA map for both TDS (22.34%) and TCATA (23.26%) was associated with salty, the attribute which most differentiated the regular and sodium-reduced chips. Sodium-reduced chips showed lower citation proportions/dominance rates for salty throughout evaluations. The second dimension of the PCA map from the multiple intake TDS evaluation was associated with crispy and potato in opposition to salt. As reflected by the TDS difference curves across intakes, crispy and potato reached higher dominance rates in the sodium-reduced chips compared to the regular chips (Figure S1).
The difference in sensory attribute profiles between the regular and sodium-reduced products was greater for mushroom soup than for potato chips, as identified by the different directions of the regular and sodium-reduced soup trajectories on the PCA maps for TDS and TCATA (Figure 5b). The first dimension of both PCA maps, with thick and creamy on the left and salty on the right, differentiated the regular and sodium-reduced soups. The sodium-reduced soup showed greater dominance rates/citation proportions of thick in early evaluation, whereas the regular soup showed greater dominance rates/citation proportions of salty throughout evaluations (Figures S3 and S4). In multiple intakes, umami was elicited late in the evaluation of both the sodium-reduced and the regular soup, as observed in the upper right quadrant of the TDS PCA map.
TCATA profiles were more consistent across intakes than TDS profiles; a larger variation among TDS than TCATA trajectories was observed across the multiple intake evaluation for both chips and soup. Attribute profile trajectories were consistent over the multiple intakes for regular and for sodium-reduced products. Patterns of TDS trajectories differed across intakes, with larger variation in the regular than sodium-reduced products (Figure 5, left). The TDS and TCATA curves obtained across the multiple intake evaluation of potato chips and soups samples provided further illustration of the higher variation across intakes for TDS than TCATA (Supplementary Materials, Figures S1–S4).
Differences between the regular and sodium-reduced products were more consistent across intakes for soup than for chips in both TDS and TCATA. Although TDS identified a greater number of attribute differences between regular and sodium-reduced products than TCATA, TDS was less discriminative across sequential intakes (Figure S1). For TCATA, except for salty, other attributes differentiating the 2 chips differed across 5 intakes (dry for the first and second intake, crispy, heated oil and greasy for the third intake, crispy and heated oil for the fourth intake, and potato for the fifth intake).
Perceived sensations of a food product are complex due to the interaction among its components. Multi-intake evaluation can help identify the effect of adaptation and build-up of attribute intensity through repeated exposure of the product [60]. Several studies have investigated multi-intake evaluation to assess temporal profiles of food products using TI or TDS [44,48,61], however, this is the first study to profile multi-intake sensory attribute evaluation of sodium-reduced foods using TCATA and TDS. It is reported that multiple intakes may influence sensory perception [62], and changes in TDS profiles were identified across intakes for orange juice with different sweeteners [48]. In the present study, multiple intakes compared to a single intake did not influence TCATA profiles (Figure 5, Figures S2 and S4). For TDS profiles, multiple intakes changed the duration of attribute dominance but not the number of significantly dominant attributes (Figures S1 and S3). This finding aligns with the study of Galmarini et al. [44]; the number of attributes cited did not change from bite to bite in any cheese, and the bite effect on the duration of dominance was observed but not in all of the study samples. Additionally, in the present study, multiple intakes decreased the sample discrimination for TDS but not for TCATA evaluations of chips, whereas multiple intakes did not influence the discrimination between the regular and sodium-reduced soups for either method. The limited effect on the sensory attribute profiles over multiple intakes for both TDS and TCTA may be the consequence of their lack of attribute intensity. This finding was also observed in the study of Antúnez et al. [63] on bread using the descriptive method, Check-All-That-Apply.

3.4. Suggestions for Method Selection and Future Research

The results presented here confirm that TDS and TCATA provide complementary information for the dynamic sensory characterization of regular and sodium-reduced foods; TCATA provides a more detailed description of concurrent sensory attributes perceived at a given time while TDS identifies the attributes catching assessors’ attention, as discussed in previous studies [22,33,34,35,36,38]. The dominant attributes, which discriminated more between regular and sodium-reduced foods than the concurrent perceived attributes, may be linked to consumer preference and choice of regular and sodium-reduced products as observed by Ares et al. [34] or C. De Souza et al. [22] for identification of product (dis)liking drivers based on TDS and TCATA profiles. Food reformulation that does not change the TDS sensory attribute profile can be a target for successful development of sodium-reduced foods. Further studies using TDS and TCATA in association with consumer hedonic perception would be beneficial to identify (dis)liking drivers and aid in the selection of the appropriate temporal method to use in sodium-reduced food product development.
This study explored the possibility of using a semi-trained panel for discrimination of regular and sodium-reduced foods. A total of 6 training sessions were used to generate attribute lists and familiarize descriptors and methods to participants for evaluation of 4 product categories by the 2 temporal methods. As an alternative to a consumer panel with a larger number of participants, i.e., 50 consumers or more in previous studies [22,33,47], the current panel of 20 semi-trained participants with triplicate evaluations identified significant differences between the regular and sodium-reduced products for all of the evaluated food items.
The current results of the multi-intake evaluations suggest a thorough consideration of the appropriate method for description of regular and sodium-reduced products; single-intake evaluation could be representative of TCATA profiles over repeated consumption, but not TDS profiles. For TDS profiles, single-intake evaluation could be used for identification of sensory attribute differences between regular and sodium-reduced foods. Multi-intake evaluation will be beneficial in the context of repeated consumption of foods with complex attribute profiles or whose attribute intensities are built up from intake to intake (i.e., sodium-reduced spicy foods and foods containing sweeteners).

4. Conclusions

Sodium-reduced prepared food products differed in their temporal sensory attribute profiles compared to their regular counterparts in not only salty taste but other sensory attributes, noticeably dry for chips, sweet for corn, bitter and metallic for ham, thick, creamy, sweet, and starchy for soup. Sodium-reduced chips, ham, and soup, but not corn, were less characterized by salty than their regular counterparts. TDS and TCATA provided comparable information for the key sensory attributes characterizing and differentiating the regular and sodium-reduced products. TDS was more discriminative than TCATA for single-product intakes, while TCATA generated more consistent profiles across multiple intakes. Multiple intakes changed the duration of attribute dominance but not the number of significantly dominant attributes in TDS profiles. The comparisons across the products and the methods provide a guide to the selection of the most appropriate temporal method for studies of sodium-reduced prepared foods. The current findings and the application of current methods to other food products may support the development of sodium-reduced formulations acceptable to consumers.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/foods11030457/s1, Figure S1. TDS profiles for regular (left) and sodium-reduced (middle) chips, and significant difference curves (right) of multiple intakes: bite 1 (1), bite 2 (2), bite 3 (3), bite 4 (4) and bite 5 (5) (n = 54). Figure S2. TCATA profiles for regular (left) and sodium-reduced (middle) chips, and significant difference curves (right) of multiple intakes: bite 1 (1), bite 2 (2), bite 3 (3), bite 4 (4) and bite 5 (5) (n = 54). Figure S3. TDS profiles for regular (left) and sodium-reduced (middle) soup, and significant difference curves (right) of multiple intakes: sip 1 (1), sip 2 (2), sip 3 (3), sip 4 (4) and sip 5 (5) (n = 54). Figure S4. TCATA profiles for regular (left) and sodium-reduced (middle) soup, and significant difference curves (right) of multiple intakes: sip 1 (1), sip 2 (2), sip 3 (3), sip 4 (4) and sip 5 (5) (n = 54).

Author Contributions

Conceptualization, H.N.; methodology, H.N.; formal analysis, H.N.; investigation, H.N.; resources, W.V.W.; writing—original draft preparation, H.N.; writing—review and editing, W.V.W.; supervision, W.V.W.; project administration. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of the University of Alberta (protocol code 00072200, approved 19 May 2017).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to ethical reasons.

Acknowledgments

H.N. was supported by Vietnam International Education Cooperation Department (VIED). Authors thank Susan Gibson and Yuelin He for assistance in collecting the data.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. World Health Organization. The SHAKE Technical Package for Salt Reduction; World Health Organization: Geneva, Switzerland, 2016. [Google Scholar]
  2. Powles, J.; Fahimi, S.; Micha, R.; Khatibzadeh, S.; Shi, P.; Ezzati, M.; Engell, R.E.; Lim, S.S.; Danaei, G.; Mozaffarian, D. Global, regional and national sodium intakes in 1990 and 2010: A systematic analysis of 24 h urinary sodium excretion and dietary surveys worldwide. BMJ Open 2013, 3, e003733. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Health Canada. Sodium Intake of Canadians in 2017; Health Canada: Ottawa, ON, Canada, 2018.
  4. Harnack, L.J.; Cogswell, M.E.; Shikany, J.M.; Gardner, C.D.; Gillespie, C.; Loria, C.M.; Zhou, X.; Yuan, K.; Steffen, L.M. Sources of sodium in US adults from 3 geographic regions. Circulation 2017, 135, 1775–1783. [Google Scholar] [CrossRef] [PubMed]
  5. Health Canada. Sodium Reduction in Processed Foods in Canada: An Evaluation of Progress Toward Voluntary Targets from 2012 to 2016; Health Canada: Ottawa, ON, Canada, 2018; ISBN 9780660244693.
  6. Kloss, L.; Meyer, J.D.; Graeve, L.; Vetter, W. Sodium intake and its reduction by food reformulation in the European Union—A review. NFS J. 2015, 1, 9–19. [Google Scholar] [CrossRef] [Green Version]
  7. Monteiro, C.A.; Cannon, G.; Moubarac, J.C.; Levy, R.B.; Louzada, M.L.C.; Jaime, P.C. The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutr. 2017, 21, 5–17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Arcand, J.; Jefferson, K.; Schermel, A.; Shah, F.; Trang, S.; Kutlesa, D.; Lou, W.; Abbe, M.R.L. Examination of food industry progress in reducing the sodium content of packaged foods in Canada: 2010 to 2013. Appl. Physiol. Nutr. Metab. 2016, 41, 1–7. [Google Scholar] [CrossRef] [Green Version]
  9. Inguglia, E.S.; Zhang, Z.; Tiwari, B.K.; Kerry, J.P.; Burgess, C.M. Salt reduction strategies in processed meat products—A review. Trends Food Sci. Technol. 2017, 59, 70–78. [Google Scholar] [CrossRef]
  10. Stieger, M.; Van de Velde, F. Microstructure, texture and oral processing: New ways to reduce sugar and salt in foods. Curr. Opin. Colloid Interface Sci. 2013, 18, 334–348. [Google Scholar] [CrossRef]
  11. Silow, C.; Axel, C.; Zannini, E.; Arendt, E.K. Current status of salt reduction in bread and bakery products—A review. J. Cereal Sci. 2016, 72, 135–145. [Google Scholar] [CrossRef]
  12. Israr, T.; Rakha, A.; Sohail, M.; Rashid, S.; Shehzad, A. Salt reduction in baked products: Strategies and constraints. Trends Food Sci. Technol. 2016, 51, 98–105. [Google Scholar] [CrossRef]
  13. Liem, D.G.; Miremadi, F.; Keast, R.S.J. Reducing sodium in foods: The effect on flavor. Nutrients 2011, 3, 694–711. [Google Scholar] [CrossRef] [Green Version]
  14. Tuorila, H.; Monteleone, E. Sensory food science in the changing society: Opportunities, needs, and challenges. Trends Food Sci. Technol. 2009, 20, 54–62. [Google Scholar] [CrossRef]
  15. Lawless, H.T.; Heymann, H. Physiological and psychological foundations of sensory function. In Sensory Evaluation of Food: Principles and Practices; Lawless, H.T., Heymann, H., Eds.; Springer: New York, NY, USA, 2010; pp. 19–56. ISBN 978-1-4419-6487-8. [Google Scholar]
  16. Cadena, R.S.; Vidal, L.; Ares, G.; Varela, P. Dynamic sensory descriptive methodologies. Time-intensity and temporal dominance of sensations. In Novel Techniques in Sensory Characterization and Consumer Profiling; Varela, P., Ares, G., Eds.; CRC Press: Boca Raton, FL, USA, 2014; pp. 333–364. [Google Scholar]
  17. Lorido, L.; Estévez, M.; Ventanas, S. Fast and dynamic descriptive techniques (Flash Profile, Time-intensity and Temporal Dominance of Sensations) for sensory characterization of dry-cured loins. Meat Sci. 2018, 145, 154–162. [Google Scholar] [CrossRef] [PubMed]
  18. Lorido, L.; Hort, J.; Estévez, M.; Ventanas, S. Reporting the sensory properties of dry-cured ham using a new language: Time intensity (TI) and temporal dominance of sensations (TDS). Meat Sci. 2016, 121, 166–174. [Google Scholar] [CrossRef] [PubMed]
  19. Rodrigues, D.M.; de Souza, V.R.; Mendes, J.F.; Nunes, C.A.; Pinheiro, A.C.M. Microparticulated salts mix: An alternative to reducing sodium in shoestring potatoes. LWT—Food Sci. Technol. 2016, 69, 390–399. [Google Scholar] [CrossRef]
  20. Gonçalves, C.; Rodrigues, J.; Júnior, H.; Carneiro, J.; Freire, T.; Freire, L.; Goncalves, C.; Rodrigues, J.; Junior, H.; Carneiro, J.; et al. Sodium reduction in margarine using NaCl substitutes. An. Acad. Bras. Cienc. 2017, 89, 2505–2513. [Google Scholar] [CrossRef] [Green Version]
  21. Paulsen, M.T.; Nys, A.; Kvarberg, R.; Hersleth, M. Effects of NaCl substitution on the sensory properties of sausages: Temporal aspects. Meat Sci. 2014, 98, 164–170. [Google Scholar] [CrossRef]
  22. Paglarini, C.d.S.; Vidal, V.A.S.; dos Santos, M.; Coimbra, L.O.; Esmerino, E.A.; Cruz, A.G.; Pollonio, M.A.R. Using dynamic sensory techniques to determine drivers of liking in sodium and fat-reduced Bologna sausage containing functional emulsion gels. Food Res. Int. 2020, 132, 109066. [Google Scholar] [CrossRef]
  23. Silva, H.L.A.; Balthazar, C.F.; Silva, R.; Vieira, A.H.; Costa, R.G.B.; Esmerino, E.A.; Freitas, M.Q.; Cruz, A.G. Sodium reduction and flavor enhancer addition in probiotic prato cheese: Contributions of quantitative descriptive analysis and temporal dominance of sensations for sensory profiling. J. Dairy Sci. 2018, 101, 8837–8846. [Google Scholar] [CrossRef] [Green Version]
  24. Rodrigues, J.F.; Goncalves, C.S.; Pereira, R.C.; Carneiro, J.D.S.; Pinheiro, A.C.M. Utilization of temporal dominance of sensations and time intensity methodology for development of low-sodium Mozzarella cheese using a mixture of salts. J. Dairy Sci. 2014, 97, 4733–4744. [Google Scholar] [CrossRef]
  25. De Souza, V.R.; Freire, T.V.M.; Saraiva, C.G.; de Deus Souza Carneiro, J.; Pinheiro, A.C.M.; Nunes, C.A. Salt equivalence and temporal dominance of sensations of different sodium chloride substitutes in butter. J. Dairy Res. 2013, 80, 319–325. [Google Scholar] [CrossRef]
  26. Da Silva, T.L.T.; de Souza, V.R.; Pinheiro, A.C.M.; Nunes, C.A.; Freire, T.V.M. Equivalence salting and temporal dominance of sensations analysis for different sodium chloride substitutes in cream cheese. Int. J. Dairy Technol. 2014, 67, 31–38. [Google Scholar] [CrossRef]
  27. Antúnez, L.; Giménez, A.; Vidal, L.; Ares, G. Partial replacement of NaCl with KCl in bread: Effect on sensory characteristics and consumer perception. J. Sens. Stud. 2018, 33, e12441. [Google Scholar] [CrossRef]
  28. Ares, G.; Castura, J.C.; Antúnez, L.; Vidal, L.; Giménez, A.; Coste, B.; Picallo, A.; Beresford, M.K.; Chheang, S.L.; Jaeger, S.R. Comparison of two TCATA variants for dynamic sensory characterization of food products. Food Qual. Prefer. 2016, 54, 160–172. [Google Scholar] [CrossRef]
  29. Castura, J.C. Dynamics of consumer perception. In Methods in Consumer Research, Volume 1: New Approaches to Classic Methods; Ares, G., Varela, P., Eds.; Elsevier Ltd.: Amsterdam, The Netherlands, 2018; pp. 211–240. ISBN 978-0-08-102089-0. [Google Scholar]
  30. Pineau, N.; Schlich, P.; Cordelle, S.; Mathonnière, C.; Issanchou, S.; Imbert, A.; Rogeaux, M.; Etiévant, P.; Köster, E. Temporal Dominance of Sensations: Construction of the TDS curves and comparison with time-intensity. Food Qual. Prefer. 2009, 20, 450–455. [Google Scholar] [CrossRef]
  31. Pineau, N.; de Bouille, A.G.; Lepage, M.M.; Lenfant, F.; Schlich, P.; Martin, N.; Rytz, A. Temporal Dominance of Sensations: What is a good attribute list? Food Qual. Prefer. 2012, 26, 159–165. [Google Scholar] [CrossRef]
  32. Castura, J.C.; Antúnez, L.; Giménez, A.; Ares, G. Temporal Check-All-That-Apply (TCATA): A novel dynamic method for characterizing products. Food Qual. Prefer. 2016, 47, 79–90. [Google Scholar] [CrossRef] [Green Version]
  33. Ares, G.; Jaeger, S.R.; Antúnez, L.; Vidal, L.; Giménez, A.; Coste, B.; Picallo, A.; Castura, J.C. Comparison of TCATA and TDS for dynamic sensory characterization of food products. Food Res. Int. 2015, 78, 148–158. [Google Scholar] [CrossRef] [PubMed]
  34. Ares, G.; Alcaire, F.; Antúnez, L.; Vidal, L.; Giménez, A.; Castura, J.C. Identification of drivers of (dis)liking based on dynamic sensory profiles: Comparison of Temporal Dominance of Sensations and Temporal Check-all-that-apply. Food Res. Int. 2017, 92, 79–87. [Google Scholar] [CrossRef]
  35. Parker, M.N.; Lopetcharat, K.; Drake, M.A. Consumer acceptance of natural sweeteners in protein beverages. J. Dairy Sci. 2018, 101, 8875–8889. [Google Scholar] [CrossRef]
  36. Nguyen, Q.C.; Næs, T.; Varela, P. When the choice of the temporal method does make a difference: TCATA, TDS and TDS by modality for characterizing semi-solid foods. Food Qual. Prefer. 2018, 66, 95–106. [Google Scholar] [CrossRef] [Green Version]
  37. Esmerino, E.A.; Castura, J.C.; Ferraz, J.P.; Tavares Filho, E.R.; Silva, R.; Cruz, A.G.; Freitas, M.Q.; Bolini, H.M.A. Dynamic profiling of different ready-to-drink fermented dairy products: A comparative study using Temporal Check-All-That-Apply (TCATA), Temporal Dominance of Sensations (TDS) and Progressive Profile (PP). Food Res. Int. 2017, 101, 249–258. [Google Scholar] [CrossRef] [PubMed]
  38. Kawasaki, H.; Yoshimura, W.; Wakita, A.; Kasamatsu, C. Visualization of temporal differences between dominant perceptions in temporal dominance of sensations (TDS) and temporal check-all-that-apply (TCATA) perceptions using dominance-highlighted TCATA (dTCATA) curves. Food Qual. Prefer. 2019, 77, 166–171. [Google Scholar] [CrossRef]
  39. Meyners, M. Temporal methods: Are we comparing apples and oranges? Food Qual. Prefer. 2020, 79. [Google Scholar] [CrossRef]
  40. Berget, I.; Castura, J.C.; Ares, G.; Næs, T.; Varela, P. Exploring the common and unique variability in TDS and TCATA data—A comparison using canonical correlation and orthogonalization. Food Qual. Prefer. 2020, 79, 103790. [Google Scholar] [CrossRef]
  41. De Oliveira Paula, M.M.; Massingue, A.A.; de Moura, A.P.R.; de Deus Souza Carneiro, J.; de Lemos Souza Ramos, A.; Ramos, E.M. Temporal dominance of sensations and check-all-that-apply analysis of restructured cooked hams elaborated with different salt content and pork quality meats. Food Sci. Technol. Int. 2021, 27, 73–83. [Google Scholar] [CrossRef] [PubMed]
  42. Corrêa Simioni, S.C.; Ribeiro, M.N.; de Souza, V.R.; Nunes, C.A.; Pinheiro, A.C.M. Multiple-sip temporal dominance of sensations associated with acceptance test: A study on special beers. J. Food Sci. Technol. 2018, 55, 1164–1174. [Google Scholar] [CrossRef]
  43. Galmarini, M.V.; Visalli, M.; Schlich, P. Advances in representation and analysis of mono and multi-intake Temporal Dominance of Sensations data. Food Qual. Prefer. 2017, 56, 247–255. [Google Scholar] [CrossRef] [Green Version]
  44. Galmarini, M.V.; Loiseau, A.-L.L.; Debreyer, D.D.D.; Visalli, M.; Schlich, P. Use of multi-intake Temporal Dominance of Sensations (TDS) to evaluate the influence of wine on cheese perception. J. Food Sci. 2017, 82, 2669–2678. [Google Scholar] [CrossRef]
  45. Thomas, A.; Chambault, M.; Dreyfuss, L.; Gilbert, C.C.; Hegyi, A.; Henneberg, S.; Knippertz, A.; Kostyra, E.; Kremer, S.; Silva, A.P.; et al. Measuring temporal liking simultaneously to Temporal Dominance of Sensations in several intakes. An application to Gouda cheeses in 6 Europeans countries. Food Res. Int. 2017, 99, 426–434. [Google Scholar] [CrossRef]
  46. Silva, A.P.; Voss, H.-P.; van Zyl, H.; Hogg, T.; de Graaf, C.; Pintado, M.; Jager, G. Temporal dominance of sensations, emotions, and temporal liking measured in a bar for two similar wines using a multi-sip approach. J. Sens. Stud. 2018, 33. [Google Scholar] [CrossRef]
  47. Maheeka, W.N.R.P.; Godfrey, A.J.R.; Ellis, A.; Hort, J. Comparing temporal sensory product profile data obtained from expert and consumer panels and evaluating the value of a multiple sip TCATA approach. Food Qual. Prefer. 2021, 89, 104141. [Google Scholar] [CrossRef]
  48. Zorn, S.; Alcaire, F.; Vidal, L.; Giménez, A.; Ares, G. Application of multiple-sip temporal dominance of sensations to the evaluation of sweeteners. Food Qual. Prefer. 2014, 36, 135–143. [Google Scholar] [CrossRef]
  49. Hayes, J.E.; Keast, R.S.J. Two decades of supertasting: Where do we stand? Physiol. Behav. 2011, 104, 1072–1074. [Google Scholar] [CrossRef] [Green Version]
  50. Jaeger, S.R.; Alcaire, F.; Hunter, D.C.; Jin, D.; Castura, J.C.; Ares, G. Number of terms to use in temporal check-all-that-apply studies (TCATA and TCATA Fading) for sensory product characterization by consumers. Food Qual. Prefer. 2018, 64, 154–159. [Google Scholar] [CrossRef]
  51. Lenfant, F.; Loret, C.; Pineau, N.; Hartmann, C.; Martin, N. Perception of oral food breakdown. The concept of sensory trajectory. Appetite 2009, 52, 659–667. [Google Scholar] [CrossRef]
  52. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2017. [Google Scholar]
  53. Castura, J.C. TempR: Temporal Sensory Data Analysis, R package version 0.9.9.10; AgroStat: Lausanne, Switzerland, 2017.
  54. Varela, P.; Antúnez, L.; Carlehög, M.; Alcaire, F.; Castura, J.C.; Berget, I.; Giménez, A.; Næs, T.; Ares, G. What is dominance? An exploration of the concept in TDS tests with trained assessors and consumers. Food Qual. Prefer. 2018, 64, 72–81. [Google Scholar] [CrossRef]
  55. de Lavergne, M.D.; van Delft, M.; van de Velde, F.; van Boekel, M.A.J.S.; Stieger, M. Dynamic texture perception and oral processing of semi-solid food gels: Part 1: Comparison between QDA, progressive profiling and TDS. Food Hydrocoll. 2015, 43, 207–217. [Google Scholar] [CrossRef]
  56. Nguyen, H.; Wismer, W.V. A comparison of sensory attribute profiles and liking between regular and sodium-reduced food products. Food Res. Int. 2019, 123, 631–641. [Google Scholar] [CrossRef]
  57. Gaudette, N.J.; Pietrasik, Z. The sensory impact of salt replacers and flavor enhancer in reduced sodium processed meats is matrix dependent. J. Sens. Stud. 2017, 32, e12247. [Google Scholar] [CrossRef] [Green Version]
  58. Greiff, K.; Mathiassen, J.R.; Misimi, E.; Hersleth, M.; Aursand, I.G.; Ekrem, M. Gradual reduction in sodium content in cooked ham, with corresponding change in sensorial properties measured by sensory evaluation and a multimodal Machine vision system. PLoS ONE 2015, 10, e0137805. [Google Scholar] [CrossRef]
  59. Keast, R.S.J.; Breslin, P.A.S. An overview of binary taste-taste interactions. Food Qual. Prefer. 2003, 14, 111–124. [Google Scholar] [CrossRef] [Green Version]
  60. Jamieson, L.; Watling, E. Multiple-ingestion Time-Intensity. In Time-Dependent Measures of Perception in Sensory Evaluation; John Wiley & Sons: Hoboken, NJ, USA, 2017; pp. 321–342. ISBN 978-1-118-99168-8. [Google Scholar]
  61. Gotow, N.; Omata, T.; Uchida, M.; Matsuzaki, N.; Takata, S.; Hagiwara, I.; Kobayakawa, T. Multi-sip Time-Intensity evaluation of retronasal aroma after swallowing Oolong tea beverage. Foods 2018, 7, 177. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. De Wijk, R.A.; Engelen, L.; Prinz, J.F.; Weenen, H. The influence of bite size and multiple bites on oral texture sensations. J. Sens. Stud. 2003, 18, 423–435. [Google Scholar] [CrossRef]
  63. Antúnez, L.; Giménez, A.; Alcaire, F.; Vidal, L.; Ares, G. Consumer perception of salt-reduced breads: Comparison of single and two-bites evaluation. Food Res. Int. 2017, 100, 254–259. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Temporal profiles for regular (a) and sodium-reduced (b) chips, and significant difference curves (c) obtained by TDS (left) and TCATA (right) evaluations of the first intake (n = 54).
Figure 1. Temporal profiles for regular (a) and sodium-reduced (b) chips, and significant difference curves (c) obtained by TDS (left) and TCATA (right) evaluations of the first intake (n = 54).
Foods 11 00457 g001
Figure 2. Temporal profiles for regular (a) and sodium-reduced (b) corn, and significant difference curves (c) obtained by TDS (left) and TCATA (right) (n = 54).
Figure 2. Temporal profiles for regular (a) and sodium-reduced (b) corn, and significant difference curves (c) obtained by TDS (left) and TCATA (right) (n = 54).
Foods 11 00457 g002
Figure 3. Temporal profiles for regular (a) and sodium-reduced (b) ham, and significant difference curves (c) obtained by TDS (left) and TCATA (right) (n = 51).
Figure 3. Temporal profiles for regular (a) and sodium-reduced (b) ham, and significant difference curves (c) obtained by TDS (left) and TCATA (right) (n = 51).
Foods 11 00457 g003
Figure 4. Temporal profiles for regular (a) and sodium-reduced (b) soup, and significant difference curves (c) obtained by TDS (left) and TCATA (right) evaluations of the first intake (n = 54).
Figure 4. Temporal profiles for regular (a) and sodium-reduced (b) soup, and significant difference curves (c) obtained by TDS (left) and TCATA (right) evaluations of the first intake (n = 54).
Foods 11 00457 g004
Figure 5. Product trajectories for Principal Component Analysis on time-standardized TDS (left) and TCATA (right) data for multi-intake evaluations of regular and sodium-reduced chips (a) and soup (b); labeled at the respective trajectory endpoints.
Figure 5. Product trajectories for Principal Component Analysis on time-standardized TDS (left) and TCATA (right) data for multi-intake evaluations of regular and sodium-reduced chips (a) and soup (b); labeled at the respective trajectory endpoints.
Foods 11 00457 g005
Table 1. Product and sensory panel testing information for evaluation of potato chips, canned corn, cooked ham and cream of mushroom soup.
Table 1. Product and sensory panel testing information for evaluation of potato chips, canned corn, cooked ham and cream of mushroom soup.
ProductManufacturer Product InformationSensory Panel Testing Information
Brand Name (Ingredients)Sodium
Content
Study
Sample Size
Serving
Temperature
Swallow TimepointSingle/Multiple
Intake Evaluation
Potato chipsLay’s Classic Chips, PEPSICO, Canada (potatoes, vegetable oil, salt)330 mg/50 g1 chip
(approximately 1 g)
Ambient15 sMultiple
Lay’s Lightly Salted Chips with 50% less sodium, PEPSICO, Canada (potatoes, vegetable oil, salt)160 mg/50 g
Canned cornGreen Giant Niblet Whole Kernel Corn, B&G Foods Inc., Canada (whole kernel corn, water, salt)240 mg/125 mL10 kernels60 °C20 sSingle
Green Giant Niblet Whole Kernel Corn-1/3 Less Salt, B&G Foods Inc., Canada (whole kernel corn, water, salt)110 mg/125 mL
Cooked hamSchneiders Olde Fashioned Ham, Maple Leaf Foods Inc., Canada (ham, water, salt, corn syrup solids, potassium lactate, sodium phosphate, sodium diacetate, sodium erythorbate, sodium nitrite, smoke)490 mg/55 g0.3 × 2 × 4 (cm) (approximately 5 g)Ambient25 sSingle
Schneiders Olde Fashioned Ham-25% Less Sodium, Maple Leaf Foods Inc., Canada (pork, water, corn syrup solids, potassium lactate, salt, potassium chloride, potassium phosphate, carrageenan, sodium diacetate, sodium erythorbate, sodium nitrite, smoke)370 mg/55 g
Cream of mushroom soupCampbell’s Cream of Mushroom Soup, Campbell Company of Canada, Canada (water, mushrooms, canola or soybean oil, wheat flour, cream, corn starch, salt, modified milk ingredients, soy protein isolate, monosodium glutamate, tomato paste, spice extract, barley yeast extract, dehydrated garlic)850 mg/125 mL10 mL
(1 spoon)
60 °C10 sMultiple
Campbell’s Cream of Mushroom Soup-40% Less Salt, Campbell Company of Canada, Canada (water, mushrooms, modified corn starch, cream (milk), canola or soybean oil, wheat flour, butter milk powder, salt, yeast extract, soy protein isolate, white wine, flavour (contains dried onions, chicken), spice extracts)470 mg/125 mL
Table 2. Sensory attributes and definitions used in TDS and TCATA evaluations of potato chips, canned corn, cooked ham and cream of mushroom soup. An attribute list was prepared for each product.
Table 2. Sensory attributes and definitions used in TDS and TCATA evaluations of potato chips, canned corn, cooked ham and cream of mushroom soup. An attribute list was prepared for each product.
ModalityPotato ChipsCanned CornCooked HamCream of Mushroom SoupDefinition
Flavour--Bitter-Basic taste associated with caffeine solution
--Metallic-Basic taste associated with various metal flavours
SaltySaltySaltySaltyBasic taste associated with salt
SweetSweetSweetSweetBasic taste associated with sugar
Umami-UmamiUmamiBasic taste associated with glutamate, salts of amino acids and other molecules called nucleotides
-Cooked--A non-specific flavour associated with the process of heating/cooking
-Corn--Flavour associated to corn
---Cream flavourA sweet, dairy flavour associated with cream or other high fat dairy products
--Ham-Flavour associated with processed products that contain curing agents (nitrites, sugars, salts)
Heated oil---Flavour associated with oil heated to a high temperature
---MushroomFlavour associated with cooked mushroom
Potato---Flavour associated with cooked potato
---SeasoningFlavour associated with seasoning
--Smoky-Dry, dusty flavour of burning wood
-Starchy-StarchyFlavour associated with starch
Texture --Chewy-Sensation associated with cohesiveness and to the length of time or the number of chews required to masticate a solid product into a state ready for swallowing
---CreamySensation of creaminess, described as a full, fatty or smooth mouthfeel
Crispy---Sensation of crispiness, described as the force required to bite while causing a high sound
-Crunchy--Sensation associated with which a sample crumbles, cracks, or shatters
Dissolving---Sensation caused by moisture absorption and dissolving
Dry---Sensation of dryness, due to the absence of water or a lack of saliva
-FibrousFibrous-Sensation refers to long particles oriented in the same direction
Greasy-Greasy-Sensation reflects the perception of exuding fat
-JuicyJuicy-Sensation caused by higher levels of juices
--Tender-Sensation of tenderness, associated with the ease to chew samples
---ThickSensation of thickness, associated with products with a high viscosity
---ThinSensation of thinness, associated with products with a low viscosity
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Nguyen, H.; Wismer, W.V. Temporal Sensory Profiles of Regular and Sodium-Reduced Foods Elicited by Temporal Dominance of Sensations (TDS) and Temporal Check-All-That-Apply (TCATA). Foods 2022, 11, 457. https://doi.org/10.3390/foods11030457

AMA Style

Nguyen H, Wismer WV. Temporal Sensory Profiles of Regular and Sodium-Reduced Foods Elicited by Temporal Dominance of Sensations (TDS) and Temporal Check-All-That-Apply (TCATA). Foods. 2022; 11(3):457. https://doi.org/10.3390/foods11030457

Chicago/Turabian Style

Nguyen, Ha, and Wendy V. Wismer. 2022. "Temporal Sensory Profiles of Regular and Sodium-Reduced Foods Elicited by Temporal Dominance of Sensations (TDS) and Temporal Check-All-That-Apply (TCATA)" Foods 11, no. 3: 457. https://doi.org/10.3390/foods11030457

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop