Research Progress of Volatile Substances Analysis and Sensory Evaluation of Soymilk

Soybean is one of the important crops in China. Soymilk, a traditional neutral plant-based protein drink, is rich in high quality proteins. Although soybean milk is rich in nutrients, its marketing among consumers, especially those in Western countries who are used to peaceful flavor, has been limited due to the adverse flavor impact brought by its special composition. In recent years, with the increasing attention to the nutritional value of soymilk, the flavor of soymilk has become a popular research object for scholars at home and abroad. The flavor components of soymilk are mainly volatile small molecular compounds produced by enzymatic reactions catalyzed by lipoxygenase(LOX). After formation, they interact with protein macromolecules to form the overall flavor of soymilk. At present, there are many methods to control the off-odor of soymilk at home and abroad, including physical heating methods, chemical methods, biological enzymatic digestion methods, mask methods, and a variety of breeding methods. These methods effectively reduce the off-odor of soymilk, but all of them have shortcomings. Currently, the sensory characteristics of the beany odor in soymilk are evaluated mainly by traditional human sensory scoring along with the assistance of modern instrument analysis of volatile flavor substances using headspace solid phase microextraction(SPME) gas chromatography coupled with-mass spectrometry(GC-MS). This paper summarized the research results of volatile flavor substances in soymilk in recent years and the sensory evaluation methods of soymilk at home and abroad, and looked forward to the future development direction, hoping to provide some theoretical bases and reference detection methods for solving the problem of soymilk flavor in the future.

Sensory Evaluation of Freeze-Dried Facial Mask and Analysis of User Profile

To thoroughly understand market opportunity of freeze-dried facial mask and deeply get insight of consumers’usage behavior and needs,evaluate sensory feelings of 10 screened commercial freeze-dried facial mask products,group test products according to the differences of sensory attributions via Principal Component Analysis(PCA)and Agglomerative Hierarchical Clustering(AHC),pick up the representative products.Freeze-dried facial mask users evaluate satisfaction degree of picked up products and participate survey of usage behavior/cognition.Analyze consumer data by AHC to get consumer segmentations and their profile.The test results show that,sensory data and consumer data,which is from consumers test of screened representative products by performing PCA and AHC on sensory data,can be verified mutually.It is helpful to understand the needs of consumer segmentations and reason to buy by combining sensory data and consumer test.

In-vitro digestibility,protein digestibility corrected amino acid,and sensory properties of banana-cassava gluten-free pasta with soy protein isolate and egg white protein addition

Soy protein isolate and egg white protein were added to cassava-banana gluten-free pasta and the effects on the nutritional quality,digestibility properties,protein digestibility corrected amino acid(PDCAA),and sensory acceptance of the pasta was observed.Banana-cassava composite flour(75:25)was blended with soy protein isolate or egg white protein at the following rates:0,5,10,and 15 g/100 g flour.Cooked pasta samples were analysed for total phenolic content(TPC),antioxidant activity,amino acid profiles,protein content,starch digestibility,protein digestibility and protein digestibility corrected amino acid score(PDCAAS).Addition of both proteins decreased starch digestibility,increased protein digestibility,improved the balance of the amino acid profile,and PDCAAS whereas only soy protein isolate enhanced the TPC and antioxidant capacity of the banana-cassava pasta.An egg white protein-fortified banana-cassava pasta had better customer acceptance and purchase intent than soy protein isolate inclusion.

A Preliminary Study on Consumer Sensory Evaluation and Acceptance of Pomelo Peel Jelly

Pomelo peel is a by-product from pomelo consumption, but it is also rich in a variety of nutrients and functional substances. In order to solve the environmental problems caused by the large amount of discarded pomelo peels every year, in this study, we recycled pomelo peels to make pomelo yellow peel jelly (PYPJ) and pomelo white peel jelly (PWPJ) according to their different characteristics in pomelo peels. And the consumer sensory evaluation (n = 50) was carried out to explore the consumers’ evaluation and acceptance for these two innovative products. The results showed that both jellies received high mean scores for all sensory attributes expect PYPJ’ taste, and the consumer acceptances of PYPJ and PWPJ were 62% and 92%, respectively. These results displayed that there is a need to further improve PYPJ, and PWPJ is a product recognized by consumers. .

Interactive effect of hot air roasting processes on the sensory property,allergenicity,and oil extraction of sesame(Sesamum indicum L.)seeds

Sesame seeds are a healthy food ingredient and an oil crop for sesame oil production;however,it has recently been recognized as an essential allergenic food by FAO/WHO.This research investigated the relationship between the hot air roasting process(at 120,150,and 180℃ for 10,20,and 30 min)and several quality attributes of sesame seeds since roasting is the key process for preparing sesame seeds for both consumption and oil production.The hot air process followed the central composite design.The changes of sesame in terms of color,sensory properties(odor,texture,color,and taste),allergenicity caused by oleosins(ses i 4 and ses i 5),as well as oil extraction and quality were monitored using a colorimeter,sensory evaluation panelists,ELISA,as well as oil yield and acid value,respectively.Roasting temperature influenced the product quality more than roasting time,although the two processing parameters significantly interacted with each other(P<0.001).Sensory evaluation indicated medium roasting generated attractive flavor,order,appearance,and crispy texture.Allergenicity was high in sesame seeds after high-temperature roasting,according to IgE binding capacity test.Sesame oil extraction was favored by high-temperature roasting,which,however,adversely affected the oil quality.The optimal roasting conditions were 150.5℃ for 15 min for optimized sesame seeds quality in terms of sensory properties and allergenicity,while roasting at 158℃ for 10 min was optimal for sesame oil production.The finding will benefit the sesame seed industry.

Nutritional, Textural, Sensory Properties and Storage Stability Evaluation of Newly Formulated Strawberry Bar

An analytical study was conducted to develop a strawberry bar and analysis of the nutritional quality and storage stability of a newly formulated strawberry bar. In proximate analysis moisture, ash, pH, acidity, vitamin C, total phenolic content, and antioxidant of strawberry pulp were found 82%, 0.5%, 2.57, 1.38%, 49 mg/100g, 0.33%, 75.17% whereas, in the strawberry bar, it was found 18%, 0.71%, 2.10, 1.10%, 22 mg/100g, 0.14%, 56.13% respectively. For textural properties analysis, the textural profile of the strawberry bar such as hardness, factorability, viscosity, cohesiveness, adhesiveness, springiness, gumminess, chewiness, probe diameter, threshold, filtering range of strawberry bar was found 5.538 × 104 N/m, 0.000 N/m2, 1.687 × 104 N/m2, 0.6636, 2.908 × 103 J/m3, 0.8664, 3.675 × 104 N/m2, 3.184 × 104 N/m2, 20.000 mm, 5 N, 0.4 N respectively whereas the maximum level was 17.4 N at 29.628 seconds and the minimum level was -5.3 N at 30.166 seconds. The sensory evaluation of the strawberry bar was conducted based on nine-point hedonic scales. The sensory evaluation results indicated that the appearance of the strawberry bar was liked very much and the taste, texture, color, aroma, and overall acceptability of the strawberry bar were liked moderately by panelists. In microbiological analysis, the Total Viable Count (TVC) and Total Coliform Count (TCC) of the strawberry bar were found safe levels for up to third days. But on the sixth day, the TCC of the strawberry bar was not found and the TVC of the strawberry bar was found 17 × 104 cfu/g respectively which is higher than the permitted value (Gulf Standard: 105 cfu/g). From the microbial point of view, the newly formulated strawberry bar was safe to consume for up to 3 days but not for 6 days.

Effects of ginseng powder on chemical composition, antioxidant and sensory properties of biscuits

This work aimed to evaluate the quality of biscuits incorporated with ginseng powder.This powder was incorporated into wheat flour at levels ranging from 0 to 4%and used in the production of biscuits.The biscuits were analysed for proximate composition,sensory attributes,phytochemical content,and antioxidant properties.Results revealed that the moisture and fat contents of the biscuits significantly decreased with the incorporation of ginseng powder.Conversely,protein(3.15 to 4.55 g/100 g DM),carbohydrate(27.80 to 31.10 g/100 g DM)and fiber contents(6.21 to 13.74 g/100 g DM)significantly increased with incorporation.The total polyphenols,saponins,and total flavonoid contents increased from 1.67 to 1.99 mgGAE/100 g DM,0 to 0.69 mg,and 0.87 to 1.83 QE/100g DM respectively.Ginseng powder also significantly increased the DPPH scavenging activity,from 42.05%to 52.62%,and FRAP value from 2.25 to 7.71μgGAE/g with increased incorporation.However,the sensory attributes of the biscuits were not affected by the incorporation of ginseng.Ginseng powder can therefore be incorporated in wheat flour at up to 4%level for biscuits production as a functional food for the promotion of human health.

Comparative evaluation of commercial Douchi by different molds:biogenic amines,non-volatile and volatile compounds

To provide new insights into the development and utilization of Douchi artificial starters,three common strains(Aspergillus oryzae,Mucor racemosus,and Rhizopus oligosporus)were used to study their influence on the fermentation of Douchi.The results showed that the biogenic amine contents of the three types of Douchi were all within the safe range and far lower than those of traditional fermented Douchi.Aspergillus-type Douchi produced more free amino acids than the other two types of Douchi,and its umami taste was more prominent in sensory evaluation(P<0.01),while Mucor-type and Rhizopus-type Douchi produced more esters and pyrazines,making the aroma,sauce,and Douchi flavor more abundant.According to the Pearson and PLS analyses results,sweetness was significantly negatively correlated with phenylalanine,cysteine,and acetic acid(P<0.05),bitterness was significantly negatively correlated with malic acid(P<0.05),the sour taste was significantly positively correlated with citric acid and most free amino acids(P<0.05),while astringency was significantly negatively correlated with glucose(P<0.001).Thirteen volatile compounds such as furfuryl alcohol,phenethyl alcohol,and benzaldehyde caused the flavor difference of three types of Douchi.This study provides theoretical basis for the selection of starting strains for commercial Douchi production.

Correlation between Texture and Sensory Evaluation of Labadou

[Objective] The aim was to measure hardness and chewiness of Labadou with a texture analyzer and explore correlation of hardness and chewiness with quality by sensory evaluation. [Method] Labadou underwent compression, puncture, shearing and batch compression with four probes （P/100, P/2, A/LKB-F and A/BE） and sensory evaluation was made on Labadou as per Nine Point Calibration Method. Specifical y, chewiness measured by batch compression was taken as an independent variable and hardness as a dependent variable to get a prediction model of Labadou hardness by model fitting. [Result] The ideal parameters of Labadou included probe at A/BE, test speed at 1.0 mm/s, and strain at 70%. The chewiness was of extremely significant correlation with hardness （r=0.92, P〈0.01）. [Conclusions] The detecting method could detect distinct texture of different Labadou accurately and expediently.

Oil Tea Soup Formula Optimization Based on Orthogonal Test and Fuzzy Mathematics Sensory Evaluation

The aim of this study is to optimize the formula of oil soup, which was one of traditional food of Guangxi province, south China. Tea leaves, bone soup, beans and other minor ingredients in the formula of oil tea soup are selected as the research objects. The sensory evaluation factors such as flavor, taste, color, aroma were selected to optimize the formula of oil tea soup based on orthogonal test and fuzzy mathematics comprehensive evaluation. The results showed the most important factor that affected the quality of the oil tea soup was tea leaves content, followed by the proportion of bone soup, minor ingredient and beans content. The study indicated that the optimal recipe ofoil tea soup was as follow： 0.6% tea, 0.4% beans, and 0.5% other ingredients. The ratio of material to solution of bone soup was 1：5.

Sensory Evaluation in Characterization of Fabric Hand

This paper is divided in two parts. The first part presents optimized methods for formalizing and analyzing sensory data provided by different panels on fabric hand evaluation. For achieving this challenge, we first transform each evaluation into fuzzy sets and we submit criteria for assessing the fabric hand evaluation given by experts as well as criteria for computing the distances between different panels and the employed linguistic terms in different evaluation spaces. This sensory data analysis allows us to check expert’s and customer’s behaviors on fabric hand. Based on this first procedure about formalization and sensory data analysis, we can study the relationships between sensory evaluation given by different experts for a fabric set and the objective data set provided by appropriate measurements. From a set of fabric samples, a database with nearly 10 parameters characterizing the touch handle is built. This way of evaluation is performed by measuring a set of physical parameters on fabrics. Those parameters constitute the input variables of our model. For the textile industry, the major difficulty lies in the fact that the performed measurements on fabrics lead to precise numerical data describing indirectly fabric hand but their relationships with the evaluation given by experts should be exploited. We implement a fuzzy model which predicts the marks reached for a set of linguistic terms. The effectiveness of these methods and criteria is shown through a number of knitted cotton fabrics.

Sensory Analysis Technology and Its Application in Food Industry

Sensory analysis technology has been widely used in food industry, involved with new product development, and the control of food quality. The sensory analysis technology is applied to analyze products of similar category, which can provide references for product improvement. This paper briefly introduced the definition of sensory evaluation, analysis methods and influence factors as well as the application of sensory analysis technology in food industry.

An Introduction to Intelligent Sensory Evaluation

Sensory evaluation is the evaluation of signals that a buman receives via its sensory organs. Nowadays sensory evaluation is widely used in quality inspection and quality control of products. and many other fields. Actually sensory evaluation always give. uncertain and inprecise results, therefore it derivates many problems. we reviews in detail these problem and give some cumputing methods to resolve them.

An Intelligent Approach to Sensory Evaluation: LVQ Neural Network

Converting between “fuzzy concept” and “numerical value” in computer aided assessment is rather difficult in many applications. This paper presents a LVQ neural network paradigm for sensory evaluation. This intelligent approach utilizes predefined class information for supervised learning in order to solve the converting problem and keep the fuzziness and imprecision of the whole sensory information. The method is validated by the experiment on stimulation evaluation of cigarette sensory.

Sensory Evaluation and Nutritional Composition of Developed Papaya-Gooseberry Jam

Jams are delicious and nutritious spreads typically made from fruit, sugar and pectin that ensure availability of fruits in off-season. The study aimed to develop papaya-gooseberry jam and to evaluate sensory and nutritional parameters. Six variations of papaya: gooseberry jam was prepared besides the control T0 (100% papaya). The successive variations were T1 (95:5), T2 (90:10), T3 (85:15), T4 (80:20), T5 (75:25) and T6 (70:30). T-test and one-way analysis of variance (ANOVA) were applied to find the significant difference in sensory and nutritional parameters in different variations. Among different variations, the treatment (T4) was found to be the best on the basis of sensory evaluation with incorporation levels of 80 percent papaya and 20 percent gooseberry. The identified treatment (T4) was analyzed for nutritional composition in comparison to control (T0). Nutritional analysis showed that treatment (T0) contained maximum energy (353 Kcal/100g), protein (0.50 g/100g), carbohydrate (87.14 g/100g), fat (0.19 g/100g) and beta-carotene (195.0 g/100g) whereas the treatment (T4) was found to be high in nutrients such as fiber (1.32 g/100g), calcium (92.0 mg/100g), phosphorus (14.13 mg/100g), vitamin C (19.16 mg/100g) and antioxidant activity (98.0%). Thus, results signified that treatment (T4) was considered best in sensory and nutritional qualities and gooseberry could be successfully incorporated in fruit jams to enhance the nutritional properties of the food products.

Effects of High Pressure on the Textural and Sensory Properties of Minced Fish Meat Gels for the Dysphagia Diet

A new product of minced fish meat with high pressurization was produced for individuals with difficulties in mastication and swallowing and for elderly people on a dysphagia diet. Minced fish meat was added to distilled water at ratios of 1:0.5, 1:1 and 1:1.5 by mixing with 1.5% NaCl. Half of the samples were modified by heating (H-gels) and half by high pressure at 400 MPa for 20 min (P-gels). The hardness of the H- and P-gels was 0.97 to 2.83 [×104 N/m2] and 2.25 to 10.03 [×104 N/m2], respectively. For SDS-PAGE analysis, low-molecular-weight proteins in the P-gel were released more easily than those in the H-gel by the difference in gel formation, which is related to the detection of α-actinin in the supernatant of pressurized actomyosin. The ultrastructural observations showed a regular filamentous network structure in the P-gel. For the sensory evaluation, the P-gels were determined to be more lustrous, juicier, more moderately elastic and smoother. These gels conformed to the criteria of Dietary Uses for Dyspahgic Patients and Japanese Dysphagia Diet 2013. High pressure treatment denatured the protein composition of the minced fish meat gel, which led to a clearer three-dimensional network structure. High pressure made it possible to form minced fish meat gels with a low salt concentration. Obtained minced fish meat gels were improved in textural properties by addition of water and under high pressure, which were different from the ones by traditional heating. Improvement in textural properties will raise the sensory evaluation for elderly and dysphagic people. It is expected that the pressurized gels will be practical for a dysphagia diet.

Effect of Breed and Sex on Pork Meat Sensory Evaluation

This work had an objective to evaluate the sensory quality of two categories of pork meat from a commercial pork meat and a selected meat from the Portuguese black pork (Preto Alentejano breed). Sixteen animals were used, 8 females and 8 males from each breed. Animals had 80 - 100 kg of live weight. The longissimus muscle between the 5th thoracic vertebra and the 10th lumbar vertebra was used in the analysis. Sensory analysis was performed by a trained taste panel of 10 elements, in 5 sessions. All evaluation conditions were standardized, and the attributes studied were odor intensity, toughness, juiciness and flavor intensity. The taste panel found differences mainly between breeds. The panellists scored Preto Alentejano meat as being juicier, tenderer, and with richer taste than Commercial meat. The higher juiciness score of Preto Alentejano meat was probably attributable to the higher intramuscular fat content compared with Commercial meat. The Commercial pork was characterized mainly by high toughness.

A Web-Based Integrated Intelligent System for Sensory Fabric Hand Evaluation

This paper presents a web-based integrated system for on-line sensory fabric hand evaluation. The methods of fuzzy techniques, neural networks, classical factorial analysis and other data analysis are used in the system to analyze the objective and subjective data, and to build the relationship between them. Given the objective data of a new fabric sample, the system can provide its sensory hand data and its total hand grade. In meantime, the total hand grade can be obtained directly from the sensory fabric hand data if provided. The sensory evaluation system is developed in Internet environment using Java language and SQL server database management system.

The Role of Computational Intelligence in Sensory Evaluation

Sensory evaluation is the evaluation of signals that a human receives via its senses of sight, smell, taste, touch and hearing. In today’s industrial companies, sensory evaluation is widely used in quality inspection of products, in marketing study and in many other fields such as risk evaluation, investment evaluation and safety evaluation. In practice, setting up a suitable mathematical formulation, an efficient working procedure and a pertinent computing method for sensory evaluation is quite difficult because of uncertainty and imprecision in sensory panels and their results involving linguistic expressions, non normalized data, data reliability, etc. At the present a prime problem of the practitioner is not the lack of useful methods but the lack of transparency in this area. In this tutorial lecture, we briefly describe some of the technology in the computational intelligence (CI) areas that has been developed for application to sensory evaluation and related fields. Moreover, we will illustrate the role of CI in sensory evaluation related applications from some recent publications.

Effects of Using Different Percentages of Fenugreek Flour to Improve the Sensory, Rheological Properties and Keeping Quality in Maize Dough to Produces Gluten-free Breads

Adding different percentages 1%, 3% and 5% of fenugreek flour depending on maize flour base to gluten free bread recipe for making tanoor bread was used to improve the tanoor bread quality, in term of sensory properties like volume, crust, color, symmetry, bake uniformity, texture, grain, aroma and taste. Also some rheological properties like gelatinization temperature and maximum viscosity of dough with bread keeping quality were used. The aim of this work is to produce suitable bread with maintaining the bread quality by selecting the suitable percentage to produce gluten free bread for people who suffering from celiac diseases and its contribution to health benefits. Significant differences were observed by using 5% of fenugreek flour in term of gelatinization temperature, maximum viscosity, breed keeping quality and volume. While using 1% of fenugreek flour significantly improved symmetry value, bread texture, crumb color, aroma and taste.