1. Introduction
Bakery and pastry products are highly varied and versatile. In addition to the immense different possible recipes that can be found, it is very easy to adapt them to the available ingredients, the desired organoleptic characteristics or nutritional properties. Besides, there is a long tradition for humans to consume bakery products, with bread being one of the pivotal foods throughout history. Among these also stand cookies, which represent a very important food, not only from the nutritive point of view but also social, as being used in festivities and fraternization moments [1,2,3].
Nowadays, bakery products are a staple food in many countries worldwide, despite the sociocultural divergences or nutritional needs. The food industry plays an essential role in the sector of bakery products, being responsible for producing and providing consumers with infinite variety. The bakery sector is responsible for relevant economic movements within and across countries by trading products such as bread, cakes, cookies, pies, and others, either fresh or frozen. The bakery sector also constitutes a source of employability [4,5,6].
Because bread is cheap, satisfying and widely available, it is one of society’s basic food items [7,8]. In modern days, bread has assumed an even major role in nutrition, beyond providing basic nutrients, and both the academy and industry have devoted joint efforts to provide the consumer with a wide variety of products with improved health properties, owing to the presence of bioactive compounds, like dietary fiber or antioxidants [9,10,11]. The supplementation of bread with health-enhancing components has been tested from a circular economy and sustainable food production systems perspective. The supplementation of bread with bioactive ingredients for health enhancement has been rising because this type of solution encompasses the advantages of lower environmental impact allied to better economic profitability and obtaining more diversified and healthier food products. Breas supplementation has been successfully tested with brewer’s spent grain [12], sorghum extract [13], whey protein [14], and ginseng dietary fiber [15], as examples. These works conform to the interest in enhancing bread’s nutritional quality, which can sometimes be achieved by using residues from the food industry. However, incorporating different ingredients into bread poses many technological challenges since the dough rheology can be affected by the presence of the compounds or their interaction with the wheat gluten [16]. These, in turn, can affect the textural properties of the products.
In what concerns sweet bakery products, such as cakes or cookies, they also assume a central role in human diets, either on special occasions or in everyday life, as snacks for fast consumption between meals. Cookies have special appeal to the elderly and children. Because cookies have become so frequent, attempts have been made to improve their nutritive balance by adding supplementary nutrients to ensure proper nutrition for different populations in need. Among these are proteins or functional ingredients like prebiotics [17,18,19,20,21].
In the case of bakery products, organoleptic characteristics are essential for consumer acceptance, and texture, in particular, is highly relevant for all types of bakery products. Texture involves several sensory characteristics and is considered a critical attribute for the quality of some products. In this way, texture determines the consumer perception and value attributed to the products [22,23,24,25]. Besides, the texture is also pivotal from the technological and economic points of view to minimize losses during production, storage or transportation. For example, it can be pointed out the case of overly harder crust in bread, leading to rejection at the production stage, or fracturability of cookies, resulting in high losses during transportation. As in other sectors, also for bakery products, improvements in baking technology, like fermentation, ultra-high-pressure treatment, pulsed electric field, Ohmic treatment, radiofrequency treatment, or packaging, such as active packaging, can be a way to improve texture and extend shelf life with maximum quality [26,27,28].
Texture can be analyzed through instrumental methods, sensory evaluation, or both. Instrumental methods consist of measuring the physical properties using sophisticated equipment, for example, texturometers. They are used to quantify a wide variety of textural characteristics of foods. On the other hand, sensory tests are carried out by a number of panelists/judges, with or without training, in a standard tasting room equipped with individual tasting booths separated by screens high enough and wide enough to isolate the different judges [29,30].
The textural characteristics of bakery products assume a pivotal role in the food industry and consumer acceptance, redefining the quality criteria that must be sought to have a successful relationship between the production and the consumption of bakery products. However, the assessment of the textural characteristics of these foods can impact their results. Furthermore, it is very relevant to understand how these texture evaluations produce information and at what cost. Due to the relevance of textural characteristics of bakery products, this study focused on the measurement of texture in different bakery products and the methods employed for their assessment, namely instrumental measurements and sensory evaluations. The advantages and disadvantages of each evaluation method are relevant and have different applicability depending on being an industrial production plant or product development phases. While instrumental tests provide faster and more precise results, sensory tests provide complete information better adjusted to consumer perception. For this review, a set of studies were selected from the scientific literature based on certain defined inclusion/exclusion criteria. Those studies were then analyzed based on several variables, for example, the type of product, the characteristics of the study, the instrumental measurement methods and their parameters, or the characteristics of the sensory tests performed. The results obtained are expected to show how these techniques are utilized and in what circumstances and discuss their adaptability to the bakery sector.
2. Methodology Explanation
The literature review was made between April and May 2022 in scientific databases ScienceDirect, BOn and SciELO. Articles were searched following specific inclusion criteria: only research articles about textural properties of bakery products (either measured by instrumental methods or assessed by sensory evaluations), published in 2000 or later. Exclusion criteria: reviews, old publications and articles for which no information was provided regarding the methodology used to evaluate the texture, either instrumental or sensory assessments. Entering keywords used were texture, textural, bakery, sensory, sensorial, and rheology. A specific search was also conducted in the journal of Texture Studies, looking for targeted products, namely bread, cookies, biscuits or cakes. Following these criteria, 133 articles were included in the review.
Descriptive statistics (frequencies, minimum, maximum, mode), Excel graphs (Office 2016 from Microsoft), bibliometric analysis, word clouds, and Sankey diagrams were used to treat the data. The software SankeyMATIC available online (
3. Results
Some variables were defined to classify the studies in this review: product studied, type of product (bread, pie, cake, biscuit/cookie, others), and crust nature (hard, soft). Regarding the instrumental measurement of texture, the variables considered were texture analysis method (TPA/compression, other compression assays, perforation, cut, others, or not specified), probe description/probe code, load cell, pre-test speed, test speed, post-test speed, trigger force, distance, number of replications) and textural properties measured. With respect to the sensorial texture analysis, the variables considered were sensory analysis method, scale interval lower and upper limits, type of panel (trained, untrained, semi-trained), number of panelists and sensory attributes assessed.
3.1. Bibliometric Analysis
Of the 133 studies included (Appendix A), most were from 2021 (27 studies), but the years 2020 and 2022 also are highly represented, with 15 studies each. There are few studies from the early years of the 21st century, with only three articles from 2000 to 2005 and 11 articles from 2006 to 2010 (Figure 1). The diversity of the sources was very high, with articles from 35 different journals, of which the most frequent are LWT—Food Science and Technology (32 articles), Journal of Texture Studies (27 articles), Journal of Cereal Science (9 articles), Food Chemistry (8 articles), Innovative Food Science & Emerging Technologies (6 articles), International Journal of Gastronomy and Food Science (6 articles) and Food Hydrocolloids (5 articles).
The 133 bibliographic sources included in the review were analyzed using the software VOSviewer. The diagram in Figure 2 evidences the co-occurrence links between keywords in the articles that occurred at least two times. From the 432 keywords, the analysis extracted 66 keywords satisfying the criteria, from which two did not have any relation with others and therefore were excluded, resulting in a map with 64 keywords. The sizes of the circles and the corresponding labels correspond to each keyword’s relative frequency of occurrence. The number of articles in which the keywords occur jointly corresponds to their relatedness, which is represented by the proximity of the circles. Figure 2 shows which keywords were more frequent: texture, bread, bakery products and rheology. The 64 keywords produced 10 clusters, with 174 links and a total link strength of 190. The most separated cluster included four keywords, the most relevant being textural properties, puncture test and compression test.
Similarly, Figure 3 presents the co-authorship links between authors in the bibliographic sources that occurred at least twice. There were 607 authors, from which 29 met the criteria of appearing at least twice. Some of the 29 authors in the network were not connected to authors in other articles, thus producing 15 clusters with 19 links and a total link strength of 36. The largest number of connected authors consisted of five, corresponding to a cluster cantered in authors Guiné R. linked with Correia P.
3.2. Characterization of the Studies
The products evaluated were varied as depicted in Figure 1 but with a prevalence of studies focusing on bread (n = 49), cakes (n = 44), cookies (n = 21) and biscuits (n = 8). Other works focused on specific cakes, for example, 18 studies about a muffin and four about sponge cakes (Figure 4). The products were characterized in terms of having or not having a harder crust when compared with the core of the product, and it was found that 57 products analyzed had a harder crust, like bread, while 87 did not, such as cookies.
Table 1 presents the number of studies according to journal and product type. The number of studies about bread is high (n = 49) as well as about cakes (n = 44) and biscuits/cookies (n = 29). The articles focusing on bread appear in most of the journals listed, with a particular incidence in the Journal of Cereal Science (n = 8), Journal of Texture Studies (n = 9) and LWT—Food Science and Technology (n = 8). Most studies about cakes are in these two last journals as well (n = 10 and n = 15, respectively), and the same for the studies about biscuits/cookies (n = 8 for Journal of Texture Studies and n = 9 for LWT).
Of the 133 articles in the review, part of these reported only instrumental measurement of textural properties (62 studies), while others focused only on sensory evaluation of textural attributes (14 studies). However, there were many studies in which both evaluation methods were used (57 studies) (Figure 5). The flow diagram in Figure 5 further shows that a high number is about bread or cake from the articles that report instrumental tests. In contrast, in the articles that report both types of evaluation for the textural properties, a high number refer to biscuit/cookie.
3.3. Instrumental Analysis of Texture in Bakery Products
The articles included in the review evaluated the number of different textural experiments, considering that some articles described more than one type of texture measurement. Table 2 presents the number of experiments according to the type of product in which the textural measurements were performed. The great majority (n = 70) were TPA—texture profile analysis, consisting of a specific type of compression test. These were mostly used to evaluate the texture of breads (n = 26) and cakes (n = 32). The second most frequent method used for instrumental texture analysis was the group for other compression methods besides TPA (n = 35), and the products most used were breads and cakes.
Concerning the probes used, there is great variability from the data obtained in the articles that provided such information. Even though most are cylindrical probes, they vary greatly in dimension (Table 3). Although the most frequently used probe is cylindrical with 75 mm (P/75), the sizes vary from a maximum of 110 mm to a minimum of 2 mm. With the same size, there is also the needle, differing from the cylindrical one by having the point sharp instead of flat. The three-point bending rig was also used in seven experiments.
Although the test parameters are not provided in a high number of articles, it was still possible to collect this type of data from a number of studies, and the results are in Table 4.
The properties measured through instrumental texture analysis in bakery products include hardness, cohesiveness, chewiness, springiness, firmness and resilience, as visible from the word cloud depicted in Figure 6. Although similar, some textural properties appear with different descriptions in the articles, for example, the measurement of hardness and firmness, which are fundamentally the same. Moreover, cohesiveness and cohesion are different notations for the same textural property; the same happens for adhesiveness and adhesion.
3.4. Sensorial Analysis of Texture in Bakery Products
Of the 71 articles that report sensory analysis of bakery products, in some of them, more than one type of test is performed, as was previously observed for the instrumental measurements (number of tests = 79). The types of sensory tests used to assess the textural attributes are wide in nature, as shown in Table 5, and once again, the notations used differ from similar tests in nature. These tests were grouped into discriminating, descriptive, and affective tests (acceptance and preference). Discriminating tests (n = 14) or affective tests (n = 8) are not so frequently used as descriptive tests (n = 57). For the measurement, hedonic scales are usually preferred (as reported in 60 studies) rather than linear scales (mentioned in 5 studies) (Table 6). The scales are variable between a small number of points (five-point scale) and, in some cases, a very high number of points (one-hundred-point scale). In most cases, the scales have five (9 studies) or nine points (28 studies), the most used scales for bread, cake, biscuit/cookie or other products.
In what concerns the evaluation panels, 26 were trained panels, 40 were untrained and 13 were semi-trained panels. These panels were also variable in number, from a minimum number of members of 5 to a maximum of 132; in most cases, the panels constituted 10 members (in ten studies).
Figure 7 shows the word cloud for the textural attributes assessed through sensorial analysis in bakery products. As observed before for the textural properties, the sensorial properties are also highly variable in terminology, for example, in terms like elasticity and springiness. The most frequently assessed properties include cohesiveness, hardness, chewiness and springiness.
4. Discussion
This review showed that bread, cake and cookies were the most studied product types. These products also represent those with the highest relevance in the bakery sector globally. According to the Observatory of Economic Complexity [31], which refers to bread, pastry, cakes, biscuits and other similar products, in 2020, the world trade in the bakery sector accounted for 37.3 billion dollars, corresponding to a growth of 0.6% in relation to the previous year. The leading exporter being Germany and top importer being the United States (4.3 and 6.2 billion dollars, respectively in 2020).
Freshness perception is a key factor in consumer choice and acceptability of bakery products that interrelates with texture, among other characteristics. Loss of freshness in bakery and pastry foods causes a decrease in quality along shelf life and is related to how the texture parameters evolve over time. The organoleptic properties are related and will be influenced by the product’s ingredients and the manufacturing processes utilized in their production. On the other hand, the mechanical properties of foods depend on how food ingredients are mixed and processed during manufacture and influence their texture as well as how stable that texture is [32]. According to García-Gómez et al. [33], the main sensory attributes for bread relate to the dough’s resistance to deformation, the balance between elasticity and viscosity, and the rate of dough growth (raising). The consumer acceptance of bread may be related to its moisture level, which, in turn, is associated with freshness [33].
Given the commercial competition and consumer demand, the industry seeks to improve products to satisfy consumer needs and increase profit. Understanding the product’s key attributes allows the industry to minimize the risk of failure when launching new products on the market [33,34]. In the food industry, measuring the textural properties of bakery and pastry products is very important, for example, in quality control and for the development of new products [33,34,35]. Instrumental texture analysis, particularly the TPA, represents an important breakthrough, being presently widely used by the food industry and the scientific community. TPA is an objective method; the textural attributes it estimates can correlate with the sensory textural attributes. Hence, this method is fast enough and needs easy sample preparation to be used in quality control in the processing line [36].
Most studies in this review used instrumental texture measurement, from which nearly half also included sensorial tests. A smaller number of studies focused exclusively on the sensorial assessment of texture.
The instrumental methods for texture determination can be divided into three tests: fundamental, imitative and empirical. The first measure defines rheological properties, and the second imitates the conditions to which the food is submitted in real circumstances. The last measure mechanical properties of the sample in empirical units of the instrument, therefore not being able to be extrapolated outside the test conditions and specific sample or even compared with other products. The imitative tests have the most potential and adaptability for research and industry. However, the empirical tests also have advantages for quick determinations on the production line [37]. Imitative instruments simulate the chewing process. The problem with this type of measurement is the insufficient definition of what is measured and the arbitrariness of the test, which are effective only with a limited number of foods, despite being widely used in the food industries [37,38,39]. The TPA is a set of measures developed based on the imitation of the compression of a bite on a piece of food, representing twice the movement of the jaws in chewing. The test is based on the sample’s response to the applied force. Strain levels between 20–50% are generally applied to semi-solid products. Under these conditions, the samples do not break, making it possible to obtain valuable information on a high number of texture properties [38,39].
According to some authors, instrumental texture analysis have the disadvantage that the results do not always relate well to those acquired through the sensory analysis tests [38,39]. Nevertheless, there are also many reported cases of good agreement between instrumental and sensorial texture measurement [40,41,42].
Regarding the instrumental tests, the most used method reported in this review was the TPA, a particular type of compression test, followed by other compression tests, puncture, and 3-point-bending tests. Compression tests used cylinder probes with variable diameters. In instrumental texture analysis, the probe moves in a controlled manner, inputting mechanical energy into and onto the test sample, and the resulting forces generated, such as puncture, compression, shear, extrusion, snapping, etc.,…, are directly influenced by the probe geometry [43]. The deformation produced by the probe under the load cell force allows us to objectively assess and measure the effect of imitative testing, producing a true indication of the product’s physical characteristics. Instrumental texture analysis uses several established procedures and techniques to manipulate the forces imposed and developed within the sample being evaluated. There are several international standard methods defined by organizations such as the ASTM (American Society for Testing and Materials), AOAC (Association of Official Agricultural Chemists), BS (British Standard), ISO (International Organization for Standardization) and DIN (German Institute for Standardization) and relate to specific geometries of test probes, sample preparation and test conditions [43].
With respect to the sensorial tests, the most frequently used was the sensory profile, a descriptive type of test, but also discriminating tests, testing differences, and affective tests were used. In the latter group, it was mostly preference tests.
Sensory analysis is pivotal to assessing product quality and consumer acceptability [33,34,35]. Color, visual appearance, flavor, taste and texture have the greatest initial impact on consumers. However, the taste and texture determine the consumer’s final decision to buy the product again or not. Several aspects can be evaluated when performing sensory analysis, such as organoleptic characteristics, quality perception and consumer acceptance. These can be assessed through different types of sensory tests [33,35,44]. Discriminating sensory tests include two groups, difference tests, such as triangular tests or simple paired differences among others [45], and attribute differences, in which specific product features are rated as to their intensity [46]. Descriptive sensory methods allow the detection, description and quantification of sensory attributes present in a food. The food industry uses these methods in developing new products, quality control, changes in ingredients and/or formulations, and evaluating products during storage. However, most existing descriptive techniques require trained evaluators and employ unstructured scales to evaluate products [47,48]. Quantitative descriptive analysis is the most used sensory description technique in the food area, as it allows the survey, description and quantification of detectable sensory attributes in the product, using highly trained evaluators and robust statistical analysis of the data [49]. In this test, the judge can be asked to classify the product’s characteristics on structured hedonic scales typically composed of an odd number of points (five, seven or nine) [50]. The affective tests, which include acceptance or preference, are performed using scales that can be sort-preference or pairwise comparison [45].
The evaluation panels in the studies of this review were mostly untrained, 51%, with 16% of semi-trained panels and 33% of trained panels. Although trained panels are more reliable, they are expensive and take a long time to train [45]. Additionally, the panels ought to be validated, a procedure that is regulated by the ISO 11132 standard, and their members’ performance checked [51]. The panel should be frequently monitored with regard to its performance (agreement, discriminative ability, repeatability) and reproducibility, individually or of the group as a whole, during training to achieve more accurate and, therefore, more reliable and consistent results [47].
The most evaluated properties in both types of texture analysis were hardness (or firmness), cohesiveness (or cohesion), springiness (or elasticity) and chewiness. These properties have different representations, whether they refer to mechanical or sensorial meaning. In mechanical terms, hardness is the value of force in the peak of the first compression of the product and does not necessarily occur at the point of deepest compression. However, it typically does for most products. On the other hand, based on the test’s imitative nature, hardness represents the force required to deform the product to a given distance, i.e., the force to compress it between molars, bite through with incisors or compress between tongue and palate. Regarding cohesiveness, in mechanical terms, it is how well the product withstands a second deformation relative to how it behaved under the first deformation, being measured as the area of work during the second compression divided by the area of work during the first compression. This property represents the degree to which the sample deforms before rupturing when biting with molars. Springiness is how well a product physically springs back after it has been deformed during the first compression. It is measured in several ways, but most typically, by the distance of the detected height of the product on the second compression divided by the original compression distance. This textural property represents the resilience rate at which the sample returns to the original shape after deformation. The chewiness is calculated as hardness*springiness*cohesiveness and represents the effort needed to masticate the food to a consistency suitable for swallowing [52,53,54].
This review highlights that the two types of methods (instrumental and sensorial) complement each other in the analysis of textural parameters of bakery products. The instrumental texture analyzers allow obtaining precise values and an objective texture profile of the products, generating data that can be used widely and subjected to easier interpretation and comparison. On the other hand, the sensory analysis methods are particularly suitable for the appreciation and preference of products regarding their textural features. Because these tests are carried out through a panel of judges, the results obtained reflect a human and sensitive side, eventually more subjective, particularly if the tests are used in untrained panels. The relevance of sensory analysis in the bakery products sector is mainly related to the product’s quality and its acceptability from the consumer’s point of view. Joint sensory analysis with trained tasters and consumers constitutes effective tools to determine the key product attributes for consumer acceptance [55].
By doing this review, it was possible to confirm that both the instrumental and sensorial texture analyses are of high relevance for the sector of bakery products. Each one has advantages and limitations. By performing both types of analyses, it is possible to obtain more reliable and complete descriptions of the textural profiles of the products, given that the tests provide complementing information.
5. Conclusions
This work allowed us to conclude that breads, cakes and cookies are among the most relevant bakery products in the food industry, given the number of research studies focused on these products, according to the analyzed database.
The studies used instrumental measurement of texture in most cases, a combination of instrumental with sensorial evaluations in many cases, and many articles used only sensorial assessment of texture.
Regarding the type of instrumental test, compression tests were mostly used, and in particular, the texture profile analysis (TPA). Textural parameters most analyzed in the various studies included hardness, cohesiveness, chewiness and springiness.
Regarding the sensory tests, it was concluded that most tests were descriptive and performed by untrained panels with a highly variable number of judges. The textural attributes most frequently evaluated included hardness, cohesiveness, springiness and chewiness, much like the instrumental measurements.
This review provides insight into the methods used to assess bakery products’ texture and which characteristics should be focused on when developing new products or improving those already on the market, meeting the highest level of satisfaction and consumer acceptance.
Not applicable.
Not applicable.
Not applicable.
This work was supported by the FCT—Foundation for Science and Technology, I.P. Furthermore, we would like to thank the CERNAS Research Centre and the Polytechnic Institute of Viseu for their support. The authors thank the students from the Food Rheology Syllabus in the Food Engineering Course at ESAV-IPV—class of 2021/22.
The author declares no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Figure 2. Analysis of co-occurrence links between keywords, considering those that occurred at least twice.
Figure 3. Analysis of co-authorship links between authors, considering those that occurred at least two times.
Figure 5. Sankey diagram of the studies included in the review considering the type of test and product.
Figure 6. Word cloud for the properties analyzed through instrumental texture analysis in bakery products.
Figure 7. Word cloud for the properties analyzed through sensorial analysis in bakery products.
Number of studies according to journal and product type.
| Journal Name | Type of Product | Total | ||||
|---|---|---|---|---|---|---|
| Bread | Pie | Cake | Biscuit/Cookie | Others | ||
| Acta Chimica Slovaca | 1 | 1 | ||||
| Annals of Agricultural Sciences | 2 | 2 | ||||
| Bioactive Carbohydrates and Dietary Fibre | 1 | 1 | ||||
| Brazilian Journal of Food Technology | 1 | 2 | 3 | |||
| Chemistry Research Journal | 1 | 1 | ||||
| Chemometrics and Intelligent Laboratory Systems | 1 | 1 | ||||
| Ciência Rural | 1 | 1 | ||||
| Food and Bioproducts Processing | 1 | 1 | ||||
| Food Bioscience | 2 | 1 | 3 | |||
| Food Chemistry | 3 | 2 | 3 | 8 | ||
| Food Chemistry: X | 1 | 1 | ||||
| Food Hydrocolloids | 1 | 3 | 1 | 5 | ||
| Food Hydrocolloids for Health | 1 | 1 | ||||
| Food Microbiology | 1 | 1 | ||||
| Food Quality and Preference | 1 | 1 | ||||
| Food Research International | 2 | 1 | 3 | |||
| Food Science and Technology—Campinas | 2 | 1 | 3 | |||
| Future Foods | 1 | 1 | 2 | |||
| Innovative Food Science & Emerging Technologies | 2 | 3 | 1 | 6 | ||
| International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering | 1 | 1 | ||||
| International Journal of Gastronomy and Food Science | 2 | 1 | 3 | 6 | ||
| Journal of Cereal Science | 8 | 1 | 9 | |||
| Journal of Culinary Science & Technology | 1 | 1 | 2 | |||
| Journal of Food Engineering | 1 | 1 | 2 | |||
| Journal of Food Measurement and Characterization | 1 | 1 | ||||
| Journal of Hygienic Engineering and Design | 1 | 1 | ||||
| Journal of International Scientific Publications | 1 | 1 | ||||
| Journal of Texture Studies | 9 | 10 | 8 | 27 | ||
| Journal of the Saudi Society of Agricultural Sciences | 1 | 1 | ||||
| LWT—Food Science and Technology | 8 | 15 | 9 | 32 | ||
| Millenium | 1 | 1 | ||||
| Revista Chilena de Nutrición | 1 | 1 | ||||
| Revista Científica—Maracaibo | 1 | 1 | ||||
| Revista Lasallista de Investigacion | 1 | 1 | ||||
| Trends in Food Science & Technology | 1 | 1 | ||||
| Total | 49 | 1 | 44 | 29 | 10 | 133 |
Number of studies according to the method used for the instrumental measurement of texture.
| Product Type | Type of Test | |||||
|---|---|---|---|---|---|---|
| TPA 1 | Compression 2 | Perforation 3 | Cut 4 | Others | Not Specified | |
| Bread | 26 | 15 | 5 | 3 | ||
| Pie | 1 | |||||
| Cake | 32 | 10 | 1 | 1 | 3 | |
| Biscuit/Cookie | 4 | 8 | 1 | 4 | 9 | |
| Others 4 | 7 | 2 | 1 | |||
| 70 | 35 | 8 | 4 | 13 | 1 | |
1 TPA—Texture Profile Analysis (a compression test); 2 Other compression tests besides TPA; 3 Includes perforation tests, also designated as puncture or drilling; 4 All cutting tests, regardless of the knife/probe used.
More common probes are used for texture measurement in bakery products.
| Probe | Number of Studies |
|---|---|
| Cylinder 110 mm | 1 |
| Cylinder 100 mm | 1 |
| Cylinder 80 mm | 2 |
| Cylinder 75 mm | 30 |
| Cylinder 70 mm | 1 |
| Cylinder 60 mm | 2 |
| Cylinder 55 mm | 1 |
| Cylinder 50.8 mm | 1 |
| Cylinder 40 mm | 7 |
| Cylinder 36 mm | 19 |
| Cylinder 35 mm | 4 |
| Cylinder 30 mm | 2 |
| Cylinder 28 mm | 1 |
| Cylinder 25 mm | 15 |
| Cylinder 20 mm | 6 |
| Cylinder 12.5 mm | 2 |
| Cylinder 5 mm | 1 |
| Cylinder 3 mm | 1 |
| Cylinder 2 mm | 2 |
| Needle 2 mm | 1 |
| Drilling rig 2 mm | 3 |
| Drilling rig 12.5 mm | 1 |
| Kieffer Dough & Gluten Extensibility Rig | 1 |
| Extended craft knife | 1 |
| Guillotine type 2.0 mm probe | 1 |
| Three-Point Bending Rig | 7 |
| Others | 46 |
Test parameters used in the experiments of instrumental texture analysis.
| Parameter | Minimum | Maximum | Mode (Number of Studies) |
|---|---|---|---|
| Load cell (kg) | 0.04 | 550 | 5 (n = 14) |
| Pre-test speed (mm/s) | 0.5 | 10 | 1 (n = 19) |
| Test speed (mm/s) | 0.001 | 60 | 1 (n = 47) |
| Post-test speed (mm/s) | 0.1 | 10 | 10 (n = 17) |
| Trigger Force (N) | 0.019 | 10 | 0.05 (n = 10) |
| Compression distance (mm) | 1 | 180 | 10 (n = 19) |
| Number of replications | 2 | 104 | 3 (n = 20) |
Number of studies according to the method used for the sensorial evaluation of texture and product type.
| Type of Sensorial Evaluation | Product Type | Total | ||||
|---|---|---|---|---|---|---|
| Bread | Pie | Cake | Biscuit/Cookie | Others | ||
| Discriminating tests | ||||||
| Difference between samples | 2 | 5 | 7 | |||
| Triangle test | 3 | 1 | 2 | 1 | 7 | |
| Descriptive tests | ||||||
| Sensory profiling | 19 | 14 | 4 | 2 | 39 | |
| Flash profile test | 1 | 1 | 2 | |||
| Flash profile test (real scale 100 mm) | 1 | 1 | ||||
| Descriptive analysis | 2 | 2 | 1 | 1 | 6 | |
| Descriptive analysis (ISO 6658 protocol) | 1 | 1 | ||||
| Quantitative descriptive analysis | 2 | 4 | 2 | 8 | ||
| Affective tests | ||||||
| Acceptance test | 2 | 2 | ||||
| Preference test | 1 | 4 | 1 | 6 | ||
| Total | 30 | 3 | 33 | 11 | 2 | 79 |
Characteristics of hedonic scales used in sensory analysis of bakery products.
| Product Type | Number of Studies (n = 60) | Minimum | Maximum | Number of Points |
|---|---|---|---|---|
| Bread | 1 | 0 | 5 | 6 |
| Bread | 5 | 0 | 10 | 11 |
| Bread | 1 | 0 | 14 | 15 |
| Bread | 3 | 1 | 5 | 5 |
| Bread | 3 | 1 | 8 | 8 |
| Bread | 6 | 1 | 9 | 9 |
| Bread | 1 | 1 | 100 | 100 |
| Pie | 1 | 1 | 5 | 5 |
| Cake | 3 | 0 | 5 | 6 |
| Cake | 1 | 0 | 10 | 11 |
| Cake | 2 | 1 | 5 | 5 |
| Cake | 1 | 1 | 7 | 7 |
| Cake | 12 | 1 | 9 | 9 |
| Biscuit/Cookie | 1 | 0 | 5 | 6 |
| Biscuit/Cookie | 1 | 0 | 9 | 10 |
| Biscuit/Cookie | 1 | 0 | 10 | 11 |
| Biscuit/Cookie | 3 | 1 | 5 | 5 |
| Biscuit/Cookie | 1 | 1 | 7 | 7 |
| Biscuit/Cookie | 6 | 1 | 9 | 9 |
| Biscuit/Cookie | 1 | 1 | 10 | 10 |
| Biscuit/Cookie | 2 | 1 | 15 | 15 |
| Other products | 4 | 1 | 9 | 9 |
Appendix A
Studies about the textural properties of bakery products in the review.
| Reference | Authorship | Title | Year |
|---|---|---|---|
| [ |
Abdullah et al. | Effect of psyllium husk addition on the instrumental texture and consumer acceptability of high-fiber wheat pan bread and buns | 2021 |
| [ |
Acosta-Estrada et al. | Improvement of dietary fiber, ferulic acid and calcium contents in pan bread enriched with nejayote food additive from white maize (Zea mays) | 2014 |
| [ |
Aldughpassi et al. | Effect of psyllium fiber addition on the quality of Arabic flatbread (Pita) produced in a commercial bakery | 2021 |
| [ |
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Abstract
Bakery products are an important sector of the food industry globally and are part of the regular diets of many people. Texture encompasses many product characteristics and plays a pivotal role in consumer acceptance. This review focuses on the studies that evaluate textural properties in a set of bakery products, either using instrumental texture measurements or sensorial evaluations. A search was conducted on scientific databases, and selection was based on some eligibility criteria, resulting in a total of 133 articles about the textural properties of bakery products. Of these studies, the majority reported only instrumental analysis of texture (62 out of 133), and a minor number of studies reported only sensorial analyses (n = 14). Still, there was an expressive number of studies in which both methodologies were used to assess the texture of the bakery products (n = 57), i.e., instrumental measurement complemented with sensory evaluation. The results showed that most studies focused on bread (37%) and cakes (33%). With respect to instrumental texture analysis, most tests were TPA (texture profile analysis), and the most commonly used probe was a cylinder disc with a 75 mm diameter. Instrumental tests usually determine textural properties like hardness, cohesiveness, chewiness, and springiness. Regarding the sensorial analyses of texture, mostly descriptive tests were used (72%), particularly sensory profiling, with a lower number of studies performing discriminating (18%) of preference/acceptance tests (10%). In most cases, untrained panels were used, with a most common number of panelists equal to ten, and the most representative evaluated textural attributes were hardness, cohesiveness, chewiness, and springiness. In conclusion, this review provides insight into the methods used to assess the texture of bakery products and which characteristics of these products should be on focus. Furthermore, it was verified that both types of methodologies are complementary in evaluating texture for these types of food products.
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