Sample discrimination through profiling with rate all that apply (RATA) using consumers is similar between home use test (HUT) and central location test (CLT)

Online consumer testing beyond central location tests: A case study for brewed coffee

Due to the constraints of the COVID-19 pandemic, conducting sensory evaluations requiring direct interactions became challenging. In response, researchers have been motivated to devise non-face-to-face testing methods as alternatives. This study aimed to compare two non-face-to-face home-use tests (HUT) with the traditional face-to-face central location test (CLT). Both HUTs involved online recruitment and sample delivery to participants' homes. One HUT provided a written protocol with no direct interaction (contactless HUT; C-HUT), whereas the other included an online meeting with a researcher for live guidance (online HUT; O-HUT). Four coffee samples were evaluated on the basis of liking and sensory and emotional attributes. The comparison between CLT and O-HUT showed RV coefficients of 0.92, 0.93, and 0.98 (P < 0.05) for liking and sensory and emotional attributes, respectively. In addition, based on the RV coefficient, the CLT results showed a significantly greater similarity to those of O-HUT compared to those of C-HUT. The O-HUT also outperformed the C-HUT in its ability to significantly discriminate between samples. Hence, real-time interactions between researchers and participants, as facilitated by O-HUT, may be more suitable in certain scenarios compared to C-HUT, which relies solely on a written protocol. Overall, these findings suggest that C-HUT and O-HUT are suitable methods for collecting sensory data and overcoming geographic and face-to-face contact limitations, providing greater flexibility, and reducing the time and cost associated with traditional sensory evaluations.

Comparison of Pivot Profile (PP), Rate-All-That-Apply (RATA), and Pivot-CATA for the sensory profiling of commercial Chinese tea products

Rapid sensory profiling methods relying on consumers' perceptions are getting prevalent and broadly utilized by labs and companies to supersede conventional sensory profiling methodologies. Till now, various intensity-based sensory methods such as the newly proposed Pivot-Check-All-That-Apply (CATA) are limitedly developed and compared. In this investigation, Pivot Profile (PP), Rate-All-That-Apply (RATA), and Pivot-CATA methods were applied and validated using tea consumers and commercial Chinese tea products as samples. Data from three approaches were collected, analyzed by correspondence analysis (CA), and used to compare the three methods assessing the panel assessment process, sensory maps, confidence ellipses, and practical applications. Pivot-CATA exhibited a high similarity with RATA (RV = 0.873), and a lower similarity with PP (RV = 0.629). Of the three intensity-related methods, confidence ellipses on the RATA sensory map were the smallest and overlapped the least. However, Pivot-CATA consumed less time in collecting data and its questionnaire was more friendly to participants compared with PP and made the difference in intensity of samples more noticeable to the participants than RATA due to the existence of the pivot sample. Its experimental versatility also allows for a wide range of applications, indicating that the Pivot-CATA is an approach with great promise for routine use.

Robot versus human barista: Comparison of volatile compounds and consumers' acceptance, sensory profile, and emotional response of brewed coffee

The increasing trend of integrating robots into the food industry has sparked debates regarding their potential influence on consumer attitudes toward food technology. This study investigated volatile compound profiles via gas chromatography-mass spectrometry (GC-MS), consumer acceptability, sensory profiling, and emotional responses of consumers toward coffee samples brewed by robot and human baristas. Moreover, the effect of the robot experience on food technology neophobia (FTN) was investigated. The principal component analysis of the volatile compound profiles revealed that the samples by the robot barista exhibited a higher degree of similarity compared to those prepared by the human barista. The range of relative standard deviations of volatile compounds from the robot barista brewed coffee was 1.4-83.1% and the variation was smaller than that of the human barista, which was 5.0-118.3%. Participants had a significant decrease in FTN scores after evaluating the robot-brewed coffee (p < 0.05), but there was no significant difference in FTN scores before and after evaluating the coffee brewed by the human barista (p > 0.05). Sensory evaluation studies revealed no significant differences in acceptability ratings and purchase intentions between the two groups (p > 0.05). However, emotional responses to the coffee samples significantly varied, with the robot-brewed coffee inducing more dynamic and positive emotions and the human-brewed coffee inducing more static and positive emotions (p < 0.05). Overall, this study provides valuable insights into consumer attitudes toward food robot service to humans and indicates that consumer's experience with food robots may significantly reduce FTN (p < 0.001).

Role of continuous phase and particle properties on the sensory perception of root vegetable purées evaluated by an expert panel and naïve consumers

Textural properties play an essential role in the development of food products. The complexity of textural attributes has been traditionally overcome with extensive panelist training and the use of generic descriptive analysis. A better understanding on the use of rapid methods with naïve consumers to evaluate texture attributes in complex food products is still needed. The present study aimed to investigate the (i) role of different continuous phases and particle properties (i.e., size and hardness) on the mouthfeel perception of root vegetable purées and (ii) the effect of panel expertise (sensory experts vs. naïve consumers) using Rate-All-That-Apply (RATA). The study included six purées made of two different continuous phase (based on Jerusalem artichoke which is rich in inulin and, parsnip which is rich in starch) and three types of beetroot particles (raw, cooked, and comminuted beetroot). Results showed that both panels were able to discriminate and profile in a similar manner. However, sensory experts showed higher ability to discriminate between samples regarding the particle's attributes whereas consumer's sample discrimination was influenced by attributes such as "ease of swallow" and "creaminess." For the expert panel, the presence of hard particles was a clear factor driving the differences between samples. Our results highlighted the contribution of both continuous and dispersed phases to design the texture profile of particulate semisolid plant-based foods.

Consumer testing away from a sensory facility: Application of home-use test and no-contact home-use test

COVID-19 pandemic-related restrictions for approximately three years have heavily influenced sensory evaluations. People have become accustomed to working remotely and communicating online. This has led to opportunities in sensory testing paired with logistics systems and information technologies, resulting in a wide application of the home-use test (HUT), wherein panelists evaluate samples from their homes or other off-site locations. This study aimed to compare three sensory evaluation conditions: a central location test (CLT, n = 104), a HUT (n = 120), and a no-contact HUT (N-HUT, n = 111). We recruited participants via the local community website, delivered samples using a delivery service, and conducted sensory testing using a smartphone for the N-HUT. Participants were requested to report the acceptance ratings, sensory profiles, and emotion responses to four coffee samples. Some differences in the acceptance ratings might be due to the different attitudes participating in the evaluation. In the sensory profiling of the samples, multi-factor analysis (MFA) revealed highly similar sensory characteristics across the three types of tests. All RV coefficients (RVs) among the test conditions were above 0.93. The emotion responses to coffee samples were similar among test conditions based on the MFA with RV values greater than 0.84. In conclusion, we found that N-HUT produced similar results regarding the descriptions of sensory profiles and emotions, indicating that N-HUT is a suitable test method for collecting sensory data and overcoming CLT and HUT's regional limitations. Modern logistics systems and information technologies make it possible to conduct nationwide sensory evaluations without in-person contact or participant attendance at sensory testing facilities.

Integrasi Metode Kano dan Turf dalam Evaluasi Sensori Minuman Cokelat Instan Komersial

Sensory attribute is one of quality parameter that affects buying intention of consumer for commercial instant chocolate drink product. Evaluation of consumer liking using hedonic method or ideal profile method was not enough to fulfill consumer satisfaction. This research aims to identify sensory attributes which are able to give consumer satisfaction using survey method integrated with structural equation model (SEM), Kano method, and total unduplicated reach and frequency (TURF). Kano method is used to evaluate sensory attributes based on consumer satisfaction, while TURF is used to identify sensory component which is able to increase buying intention of consumers with regard to the range and frequency for chocolate instant commercial drink. Preliminary research conducted by modelling consumer preferences suggested that there was an influence of 0.76 sensory attributes to consumer satisfaction. Seven samples were purchased from market and evaluated by 30 untrained panelists using home use test with an approach of consumer habit to consume hot chocolate drink once a week. The panelists were chosen from people who consume commercial instant chocolate drink. Results of this research showed that sensory attributes creamy (texture) and dark chocolate (color) were attractive features which were able to improve consumer satisfaction. Atribute sweet (taste) was categorized as must-be features, while flavor, aroma, and color were classified as one-dimensional features. Combination of attributes in one category can improve the range to reach the targeted consumers and frequency of consumers towards the product, for example attribute creamy can reach 97%, but combination of attributes creamy and thickness can reach 100% of the targeted consumers.