Exploring consumer product profiling techniques and their linkage to a quantitative descriptive analysis

Chemometrics methods, sensory evaluation and intelligent sensory technologies combined with GAN-based integrated deep-learning framework to discriminate salted goose breeds

The authenticity of salted goose products is concerning for consumers. This study describes an integrated deep-learning framework based on a generative adversarial network and combines it with data from headspace solid phase microextraction/gas chromatography-mass spectrometry, headspace gas chromatography-ion mobility spectrometry, E-nose, E-tongue, quantitative descriptive analysis, and free amino acid and 5'-nucleotide analyses to achieve reliable discrimination of four salted goose breeds. Volatile and non-volatile compounds and sensory characteristics and intelligent sensory characteristics were analyzed. A preliminary composite dataset was generated in InfoGAN and provided to several base classifiers for training. The prediction results were fused via dynamic weighting to produce an integrated model prediction. An ablation study demonstrated that ensemble learning was indispensable to improving the generalization capability of the model. The framework has an accuracy of 95%, a root mean square error (RMSE) of 0.080, a precision of 0.9450, a recall of 0.9470, and an F1-score of 0.9460.

Sprouted wheat wholemeal as a techno-functional ingredient in hard pretzels

There has been a growing interest in incorporating sprouted wheat wholemeal (SWW) into whole grain baking, driven by its heightened nutritional content and improved nutrient bioavailability. This study aimed to assess how substituting soft wheat flour (SWF) with various levels of wheat wholemeal (unsprouted and sprouted) impacts the quality and sensory characteristics of hard pretzel sticks, which are globally enjoyed as popular snacks. The dough samples containing wholemeal did not demonstrate the same extensibility as the SWF dough sample. Additionally, substituting SWF with wholemeal increased the resistance to extension. Analysis of the Raman spectra of SWF and two other selected dough samples containing 75 % unsprouted wheat wholemeal (UWW) or SWW indicated α-helix as the dominant protein secondary structure. As the ratio of wholemeal to SWF increased in both unsprouted and sprouted wheat pretzel samples, protein and fiber content increased and starch content decreased, resulting in a decreased peak viscosity in an RVA (Rapid Visco Analyzer) test. The findings also showed no significant difference in hardness between the SWF pretzel sample and all other samples (p > 0.05), except when SWF was replaced with the highest level (75 %) of SWW, resulting in a significantly softer texture. Color analysis revealed that the introduction of wholemeal led to a decrease in the L* value, indicating a darker surface appearance in the samples, likely due to the presence of bran. Finally, sensory evaluation determined that replacing SWF with 25 % SWW resulted in the creation of a sample most similar to SWF in terms of sensory attributes. This research paves the way for future studies and advancements in the formulation and analysis of pretzel dough, creating opportunities to improve both the quality of the product and consumer satisfaction.

Variations in the Sensory Attributes of Infant Formula among Batches and Their Impact on Maternal Consumer Preferences: A Study Combining Consumer Preferences, Pivot Profile, and Quantitative Descriptive Analysis

The sensory quality of infant formula (IF) has a significant impact on the preferences and purchasing behavior of maternal consumers. Consumer-based rapid descriptive methods have become popular and are widely preferred over classical methods, but the application of Pivot Profile (PP) in IF is still little explored. In this study, both Pivot Profile (PP) and Quantitative Descriptive Analysis (QDA) were applied to characterize the sensory profile of 12 batches of one-stage and three-stage IF with different storage periods, respectively, along with consumer preference data to determine the flavors contributing to liking. The results of PP and QDA aligned moderately well, with the most perceptible differences identified as "fishy", "milky", and "T-sweet" attributes. IFs with shorter storage times were highly associated with "milky" aromas and "T-sweet" tastes, whereas IFs with longer storage times exhibited a strong correlation with "fishy" and "oxidation" aromas. External preference analysis highlighted that the occurrence of "fishy" and "oxidation" aromas during prolonged storage periods significantly reduced the consumer preference for IFs. Conversely, the perception of "milky" and "creamy" aromas and "T-sweet" tastes may be critical positive factors influencing consumer preference. This study provided valuable insights and guidance for enhancing the sensory quality and consumer preference of IF.

Low-pressure continuous dynamic extraction from oak chips combined with passive micro-oxygenation to tune red wine properties

Static infusion of oak chips in wine is a common practice during wine ageing, aimed at improving sensory properties and stability of wines. The wine/chips contact required to reach the desired effect can last several weeks or months. A low-pressure continuous dynamic (LPCD) extractor in which a closed-circle, low-pressure continuous flow of wine passes through an extraction cell filled with chips, was evaluated as a tool to tune red wine properties in few hours. The aim of this work was to evaluate the effect of the use of a LPCD extractor the effect on color, volatile compounds and sensory properties of a Primitivo wine, as well as to assess the combined effect of LPCD extractor, passive microxygenation through polyethylenetereftalate (PET) containers and exogenous tannins. Their combined effect caused a significant increase of stabilized pigments was observed, without compromising the aroma profile. LPCD extraction, passive micro-oxygenation through plastic materials and enological tannins can be considered as a low-cost, and potentially low-impact, integrated technological platform suitable to tune wine sensory properties and stability, when either traditional approaches (such as barrel aging) or other assisted extraction technologies are not applicable or preferred, even in small wineries.

Quality characteristics and cooking-induced changes on phenolic compounds of dried green tea noodles

Incorporating green tea powder (GTP) into wheat flour-based noodles can significantly improve nutritional value. So, this study investigated the effects of GTP (0%, 0.5%, 1%, 1.5%, and 2.0%) on the quality properties of dried green tea noodles (DGTN) and cooking-induced changes to phenolic compounds. Mixolab analysis of wheat flour with GTP showed more water absorption of dough, and the developed dough had a firmer structure. GTP markedly increased the toughness of the noodle sheet. DGTN fortified with GTP showed more stable textural properties during cooking and storage, representing higher hardness and tensile strength. The viscosity and thermal properties of DGTN showed that GTP affected the gelatinization and retrogradation behavior of starch, which were closely related to the textural properties. Overall, DGTN prepared with 1.5% GTP showed better quality properties. However, ultra-performance liquid chromatography-time (UPLC/Q-TOF-mass spectrometry [MS]/MS) analysis showed that cooking by boiling significantly decreased phenolic content in 1.5% DGTN; further analysis revealed that the thermal degradation is a key factor in the loss of polyphenols. Therefore, further studies are necessary to focus on the mechanism of cooking-induced polyphenol loss, which is of great significance for improving the nutritional value of cooked DGTN.

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.

Comparison of Check-All-That-Apply (CATA), Rate-All-That-Apply (RATA), Flash Profile, Free Listing, and Conventional Descriptive Analysis for the Sensory Profiling of Sweet Pumpkin Porridge

With significant progress in the use of rapid descriptive methodologies as alternatives to conventional descriptive analysis (DA), several consumer-based approaches have emerged. In this study, we compared four such methodologies-check-all-that-apply (CATA), rate-all-that-apply (RATA), flash profile (FP), and free listing (FL)-for sensory profiling to DA, using six sweet pumpkin porridges. The DA involved eight trained panelists, whereas each consumer evaluation engaged 60 untrained consumers. Overall, the performance of the consumer methods was similar to the DA, and it could effectively profile differences in consumer perceptions of sensory attributes, as evident from high regressor vector (RV) values (>0.89). RATA exhibited the highest similarity to the DA (Rv = 0.96), featuring quicker and less tedious processes compared with FP or FL. Novel combined methods for sensory characterization using the strengths of these four approaches are warranted. This includes leveraging the simplicity and versatility of CATA or RATA coupled with the capacity of FP or FL to capture spontaneous perceptions of products by consumers.

A Timely Application-Temporal methods, past, present, and future

Eating is a dynamic experience, and temporal sensory methods have been proposed to document how products change over the course of consumption or use (nonfood). A search of online databases yielded approximately 170 sources related to temporal evaluation of food products that were compiled and reviewed. This review summarizes the evolution of temporal methodologies (past), offers guidance in selecting appropriate methods (present), and provides insights into the future of temporal methodologies in the sensory space. Temporal methods have evolved to document a variety of characteristics in food products including how the intensity of a specific attribute changes over time (Time-Intensity), which specific attribute is dominant at each time during evaluation (Temporal Dominance of Sensations), which attributes are present at each time point during evaluation (Temporal Check-All-That-Apply), and many others (Temporal Order of Sensations, Attack-Evolution-Finish, and Temporal Ranking). In addition to documenting the evolution of temporal methods, this review considers the selection of an appropriate temporal method based on the objective and scope of research. When choosing a temporal method, researchers should also consider the selection of panelists to perform the temporal evaluation. Future temporal research should focus on validation of new temporal methods and explore how methods can be implemented and improved to add to the usefulness of temporal techniques for researchers.

Sensory profiling and consumer evaluation of solar dried tomato powder in Ghana

BACKGROUND

Tomato (Lycopersicon esculentum) is an important vegetable in Ghana, with high post-harvest losses due to absence of facilities to store, process and extend the shelf life of fresh tomatoes. Solar drying has been proven to be a more efficient and low-cost method of enhancing quality and adding value to tomato and other vegetables. However, there are concerns about sensory appeal of the dried products. In this study a natural mixed mode solar dryer was developed to dry pre-treated fresh Roma tomatoes. The sensory characteristics of the solar dried product was profiled and compared to the sensory properties of similar commercial dried tomato on the market using quantitative descriptive analysis methodology. Consumer testing using qualitative methods provided consumer feedback on the appeal of the solar dried tomatoes.

RESULTS

Results showed that the solar dried tomato powder had a stronger tomato aroma intensity (scoring 127 on a 150 mm intensity scale) than the market products (0.7 on the same 150 mm intensity scale). When reconstituted, the solar dried tomato powder had a coarse appearance and texture, and a strong cooked tomato aroma compared to tomato paste. Consumers indicated that tomato powder was used as a thickener because it was highly viscous and when reconstituted imparted a desirable cooked tomato aroma and flavor.

CONCLUSION

Considering the positions of the tomato products in the sensory space, although tomato powder had its own unique sensory properties, it also exhibited some sensory characteristics found in tomato paste. From this study, high-quality tomato powder has great potential for commercialization. © 2021 Society of Chemical Industry.

Sensory Panel Performance Evaluation—Comprehensive Review of Practical Approaches

Sensory assessors determine the result of sensory analysis; therefore, investigation of panel performance is inevitable to obtain well-established results. In the last few decades, numerous publications examine the performance of both panelists and panels. The initial point of any panelist measures are the applied selection methods, which are chosen according to the purpose (general suitability or product-specific skills). A practical overview is given on the available solutions, methods, protocols and software relating to all major panelist and panel measure indices (agreement, discrimination, repeatability, reproducibility and scale usage), with special focus on the utilized statistical methods. The novel approach of the presented methods is multi-faceted, concerning time factor (measuring performance at a given moment or over a period), the level of integration in the sensory testing procedure and the target of the measurements (panelist versus panel). The present paper supports the choice of the performance parameter and its related statistical procedure. Available software platforms, their accessibility (open-source status) and their functions are thoroughly analyzed concerning panelist or whole panel evaluation. The applied sensory test method strongly defines the applicable performance evaluation tools; therefore, these aspects are also discussed. A special field is related to proficiency testing. With the focus on special activities (product competitions, expert panels, food and horticultural goods), practical examples are given. In our research, special attention was given to sensory activity in companies and product experts or product-specific panels. Emerging future trends in this field will involve meta-analyses, application of AI and integration of psychophysics.

Developing a Descriptive Sensory Characterization of Flour Tortilla Applying Flash Profile

For any food, it is important to know consumption, preference, and the characteristics as quality parameters that are important to consumers of a product. The descriptive methodologies are an important tool to know the quality attributes of the products. Within these methodologies is the flash profile (FP), which is based on the generation of the distinctive attributes of the products without any expensive and time-consuming training sessions. The aim of this research was to study the consumption and preference of flour tortillas by consumers and to develop the descriptive characterization of the tortillas by using the flash profile method. The wheat flour tortillas used were two commercial and two handcrafted samples. Ten experienced panelists participated as the FP panel. The panelists generated 22 descriptors, six for texture, seven for appearance, five for odor, and four for flavor. These descriptors differentiate the samples of the flour tortillas. The panelists’ performance was assessed using the consensus index (Rc = 0.508). The first two dimensions of the Generalized Procrustes Analysis represent 83.78% of the data variability. Flash profile proved to be an easy and rapid technique that allowed the distinctive attributes of flour tortillas to be obtained.

Generating New Snack Food Texture Ideas Using Sensory and Consumer Research Tools: A Case Study of the Japanese and South Korean Snack Food Markets

Food companies spend a large amount of money and time to explore markets and consumer trends for ideation. Finding new opportunities in food product development is a challenging assignment. The majority of new products launched in the market are either copies of existing concepts or line extensions. This study demonstrates how the global marketplace can be used for generating new texture concepts for snack foods. One hundred and twenty-three prepacked snack foods from South Korea (SK) and ninety-five from Japan (JP) were purchased for this study. Projective mapping (PM) was used to sort the snacks on a 2-dimensional map (texture and flavor). Sensory scientists grouped snacks on similarities and dissimilarities. PM results showed, 65% (JP) and 76% (SK) snacks were considered as hard textures, ranging from moderate to extremely hard. Sixty-five percent of JP snacks were savory, whereas 59% of SK snacks had a sweet flavor. The PM 2-dimensional map was used to find white spaces in the marketplace. Thirty-two diversified snacks from each country were screened and profiled using descriptive sensory analysis by trained panelists. Attributes such as sustained fracturability, sustained crispness, initial crispness, and fracturability were the main sensory texture characteristics of snacks. Results showed how descriptive analysis results can be used as initial sensory specifications to develop prototypes. Prototype refinement can be performed by doing multiple developmental iterations and consumer testing. The study showed how white spaces are potential opportunities where new products can be positioned to capture market space. Practical Application: The methodology produced in this study can be used by food product developers to explore new opportunities in the global marketplace.

Comparison of consumer-based methodologies for optimizing the development of new products: A case study with probiotic chocolate flavored milk

Several studies have reported that most new products do not achieve satisfactory results when launched on the market. There is a need to increase the efficiency of the methodologies used in the development of new products to increase success rates. Rapid sensory methodologies named Polarized Sensory Positioning (PSP), Check-all-that-apply (CATA), Projective mapping (PM) or Napping were applied to obtain sensory and hedonic information of a new product, probiotic-added chocolate flavored milk, aiming at determining preference guides that can be used to obtain a high overall liking level. It was possible to develop a probiotic chocolate flavored milk with general positive overall liking. The preferred sample was formulated with high content of sugar and chocolate, concluding that these characteristics are preference guides. The results supplied by the consumers using different methodologies were consistent, although the methodologies differed in their ability for sample differentiation. CATA methodology allowed better discrimination between samples than the other methodologies, followed by Projective Mapping, PSP with scales and triadic PSP. We could confirm that those rapid methodologies of sensory characterization are efficient when applied to product development.Practical applications Using those methodologies, it was possible to develop a probiotic chocolate flavored milk that meets both, consumer's expectations in relation to nutrition and taste and functionality. The methodologies proved to be efficient in characterizing consumer preference guides, and therefore fundamental to the development of a product with higher overall liking.

Sensory methods applied to the development of probiotic and prebiotic foods

Food containing probiotics and prebiotics is one of the top-selling functional foods around the world. For the foods containing probiotics and prebiotics to be successful, their inclusion can not detract from a consumers' liking of the food product or impart negative sensory properties in the food product. Sensory analysis must be completed to ensure the inclusion of prebiotics and probiotics does not detract from the food item. Sensory analysis allows food product developers to make educated decisions and evaluate the sensory properties of new food products, including functional foods containing probiotics and prebiotics. Additionally, food product developers need a clear understanding of which method or technique should be used based on the objective of the testing, experimental design, validity and reliability of the method. This chapter focuses on the importance of sensory evaluation techniques in the development of functional food containing prebiotics and probiotics. Examples of sensory methodologies and their application to the production of food containing probiotics and prebiotics will be presented.

American consumers' perception and acceptance of an ethnic food with strong flavor: a case study of Kimchi with varying levels of red pepper and fish sauce

BACKGROUND

A spicy ethnic food with strong flavor, such as Kimchi (Korean traditional fermented vegetable dish), may not be well-accepted by foreign consumers on the first trial, but liking can be acquired if exposed frequently. This study was conducted to understand how spiciness and fish sauce flavor impact American consumers' perception and acceptance of Kimchi. Thirteen untrained American panelists performed a flash profiling evaluating six Kimchi samples with different levels of red pepper and fish sauce. American consumers (n = 96) participated in a consumer study during which their acceptance for the same samples, along with their consumption habits, were evaluated.

RESULTS

Ratings of perceived spiciness and liking increased as the concentration of red pepper increased, while these attributes were less affected by the level of fish sauce tested. Consumers were segmented into four clusters: general Kimchi likers (30%), spicy Kimchi likers (10%), mild Kimchi dislikers (45%), and spicy and strong-flavored Kimchi dislikers (15%). This segmentation showed a significant impact of previous experiences tasting authentic Kimchi.

CONCLUSION

Stronger spiciness in Kimchi is preferred by American consumers, while absence or addition of fish sauce did not influence their acceptance. Previous experience with Kimchi and a liking for spicy foods that had been already established seem to be associated with their liking for the spicier Kimchi. It is suggested that an authentic Kimchi experience further differentiated the preference pattern for Kimchi with varying levels of spiciness and fish sauce flavor. © 2019 Society of Chemical Industry.

Sensory and Chemical Drivers of Wine Consumers' Preference for a New Shiraz Wine Product Containing Ganoderma lucidum Extract as a Novel Ingredient

This study explored wine consumers’ preferences towards a novel Australian Shiraz wine product containing Ganoderma lucidum (GL). Wine consumers (n = 124) were asked to complete a questionnaire and participate in a blind tasting of six GL wine products (differing in the amount and timing of GL extract additions). Based on individual liking scores for each GL wine product that was tasted, four hedonic clusters C1 (n = 44, preferred control and low levels of GL additions), C2 (n = 28, preferred control only), C3 (n = 26, generally preferred all GL additions) and C4 (n = 26, preferred 1 g/L additions and 4 g/L post-fermentation) were identified. Sensory attributes of the GL wine products were also profiled with rate-all-that-apply (n = 65) and the 31 sensory attributes that significantly differentiated the wines underwent principal component analysis with the hedonic clusters overlaid to explain consumers’ preferences. There was a clear separation between hedonic clusters. Sensory attributes and volatile flavor compounds that significantly differentiated the wines were subjected to partial least squares regression, which indicated the important positive drivers of liking among the hedonic clusters. Pepper and jammy aroma, 3-methylbutanoic acid (linked to fruity notes) and non-fruit aftertaste positively drove C2′s preference, whereas spice flavor and hexanoic acid (known for leafy and woody descriptors) drove C3′s liking. There were no positive drivers for C1′s liking but bitter taste, cooked vegetable, and toasty aromas drove this cluster’ dislike. C4 preferred brown appearance, tobacco aroma, and jammy and cooked vegetable flavors. These findings provide the wine industry with deeper insights into consumers’ liking towards new GL wine products targeted at the Australasian market.

Brazilian and French sensory perception of complex cosmetic formulations: a cross-cultural study

OBJECTIVE

Brazil and France are two major beauty markets worldwide. Despite this, there is not much cross-information on sensory analysis of cosmetic products between both population of these countries. The objective of this study was to compare the sensory perception of cosmetic formulations between Brazilian and French assessors and establish cross-culturally preferences.

METHODS

For this, a total panel of 100 consumers of cosmetics evaluated four different products. The same protocol for the sensory analysis was followed in both countries.

RESULTS

The panellists were able to perceive differences in the products and the method proved to be repeatable in both countries. The presence of UV filters in the formulation was noticed and displeased both populations. Brazilians, although dissatisfied with the sensory aspect of the sunscreen, are willing to use it for its UV protection.

CONCLUSION

This work delivers important information on the sensory perception of cosmetics by people from different countries and brings important knowledge to develop products with textural properties that will be appreciated worldwide.

Consumer Sensory Comparisons Among Beef, Horse, Elk, and Bison Using Preferred Attributes Elicitation and Check-All-That-Apply Methods

Despite their nutritional benefits, consumption of red meat from alternative sources such as bison, elk, and horse is low when compared to beef. Sensory attributes and drivers of liking were identified for these meats using the Preferred Attributes Elicitation (PAE) and Check-All-That-Apply (CATA) methods. For the PAE study, 25 panelists evaluated beef, horse, bison, and elk meats in three different group sessions (n = 7, 7, and 11), whereas 63 panelists participated in the CATA study. Consumers in both PAE and CATA studies associated horse meat with dry and fibrous appearance, whereas beef was associated with meaty/beefy flavor and aroma: bison with metallic and livery aroma and intense aftertaste and elk meat with livery, fishy, metallic flavor, musky aroma, and bloody aftertaste. Penalty analysis on the CATA data identified similar drivers of meat liking as the PAE groups. The attributes were juiciness, meaty/beefy aroma, tender texture, meaty/beefy flavor, and mild flavor and aroma. Attributes with significantly negative mean impact on liking were dryness, tough texture, livery flavor, and aftertaste. Association of these attributes with horse and elk meats has implication on drivers of dislike for these meat types. Cluster analysis identified a small group of consumers with preference for horse and elk meats, and this may present niche market opportunities for these meat types. Results showed that the PAE method was comparable to CATA for the evaluation of meat from different species and for identification of drivers of liking and that both methods are effective for meat sensory characterization. PRACTICAL APPLICATION: Lean red meat from unconventional sources such as elk, bison, and horse has unique sensory attributes that may influence acceptance. This study characterized the sensory attributes of these meats and their impact on liking using two rapid consumer descriptive profiling methods-PAE and CATA. Undesirable flavor and aftertaste attributes were identified as the major drivers of disliking for these unconventional meats. Both methods gave similar description of the samples, thus confirming the suitability of PAE for descriptive meat profiling by consumer panels.

Discrimination of sensory attributes by trained assessors and consumers in semi-sweet hard dough biscuits and their drivers of liking and disliking

Descriptive methods are traditionally performed with trained assessors to objectively analyze products, since consumers have long been considered incapable of performing such tests because they are influenced by hedonic evaluations. However, in the last decades, there have been alternative descriptive tests performed by consumers, due to other advantages, such as a rapid sensory profile assessment, reducing cost and time, and Check-all-that-apply (CATA) is an example. Thus, the objective of this work was to compare the performance of trained assessors (n = 15) and consumers using quantitative descriptive analysis (QDA) - traditional method and CATA - alternative method (n = 161 consumers, including acceptance test as well), for 5 samples of semi-sweet hard dough biscuit with different contents of specific ingredients: fructose (0.0 to 6.0%), vanilla aroma (0.0 to 1.2%) and water (9.0 to 13.8%). Results showed that the number of attributes in which trained assessors perceived significant differences was marginally higher (p < .1) than consumers. For smaller formulation differences, trained assessors perceived more (p < .01) attributes presenting significant differences (10) than consumers (2). The sample discrimination presented the same pattern, however trained assessors had greater discriminative power than consumers, i.e., they discriminated samples in more difference levels. The description of the samples was not similar between the methods. The QDA and CATA assessors used different attributes to describe the samples, which reflected in different drivers of liking and disliking if descriptive data come from trained assessors or from consumers. It is concluded that the choice of performing descriptive tests with trained assessors or consumers depends on the purpose of the study.

Validation of rapid descriptive sensory methods against conventional descriptive analyses: A systematic review

A major drawback of conventional descriptive profile (CDP) in sensory evaluation is the long time spent in panel training. Rapid descriptive methods (RDM) have increased significantly. Some of them have been compared with CDP for validation. In Health Sciences, systematic reviews (SR) are performed to evaluate validation of diagnostic tests in relation to a gold standard method. SR present a well-defined protocol to summarize research evidence and to evaluate the quality of the studies with determined criteria. We adapted SR protocol to evaluate the validation of RDM against CDP as satisfactory procedures to obtain food characterization. We used "Population Intervention Comparison Outcome Study - PICOS" framework to design the research in which "Population" was food/ beverages; "intervention" were RDM, "Comparison" was CDP as gold standard, "Outcome" was the ability of RDM to generate similar descriptive profiles in comparison with CDP and "Studies" was sensory descriptive analyses. The proportion of studies concluding for similarity of the RDM with CDP ranged from 0% to 100%. Low and moderate risk of bias were reached by 87% and 13% of the studies, respectively, supporting the conclusions of SR. RDM with semi-trained assessors and evaluation of individual attributes presented higher percentages of concordance with CDP.