TEXTURE-FLAVOR INTERACTIONS IN LOW FAT STIRRED YOGURT: HOW MECHANICAL TREATMENT, THICKENER CONCENTRATION AND AROMA CONCENTRATION AFFECT PERCEIVED TEXTURE AND FLAVOR

The influence of thickening agent (0 and 7g/L), mechanical treatment (low and high) and flavoring agent concentration (2.2 to 63.2 μL/kg) on texture, taste and aroma of low fat stirred yogurts was investigated through sensory profiling by a panel of ten subjects trained on 13 attributes. Two assessment conditions were used: either in the presence or in the absence of olfactory perception (nostrils closed with nose clips). Sensory differences were greater for texture than for the other perception modalities. Olfactory perception enhanced yogurt astringency. If both thickener addition and mechanical treatment influenced texture attributes and rheology, the second factor had the strongest effect. Texture attributes were highly correlated with rheological parameters. Increasing flavoring agent concentration tended to decrease thickness and the addition of thickening agent depressed green apple notes and sweet taste, suggesting texture/flavor interactions.     

A LINGUISTIC METHOD FOR SENSORY ASSESSMENT

A linguistic format for sensory assessment of foods as well as computational methods to analyze taste panel opinions have been developed within the framework of fuzzy set theory. The methodology is demonstrated via sensory analysis of roasted peanuts. Sensory analysis was represented as linguistic values and associated truth values for attributes such as roast flavor, bitterness and overall quality. This format allowed panelists to describe and discriminate different roast characteristics. Replicate analyses of the same sample were reasonably consistent. The linguistic information was simple yet rich in meaning and could be used to make inferences for quality and process control. Yager's ordered weighted median aggregation operator was used to estimate the expected linguistic values for aroma, flavor, bitterness, sweetness, color and overall quality.     

Sensory evaluation of fruit quality and nutritional composition of 20 breadfruit (Artocarpus, Moraceae) cultivars

Twenty breadfruit cultivars growing in afield genebank at Kahanu Garden, National Tropical Botanical Garden, Hana, Maui, Hawaii, were evaluated for sensory attributes and nutrient composition. A taste panel scored eight flavor/aroma attributes, five textural attributes, and color. There were significant differences (P ≤ 0.01) in aroma, visual texture, flavor intensity, sweetness, starchiness, moistness, stringiness, firmness, and color. The greatest differences were in color and texture. Nutrient analyses showed significant differences (P ≤ 0.05) for energy, carbohydrates, ash, crude protein, potassium, magnesium, sodium, iron, copper, and zinc. Considering the versatility of breadfruit as a food, its ease of production, and its nutritional value, the numerous good quality flavorful cultivars available should be more widely grown for sustainable agriculture and food security.     

Quantitative trait loci influencing chemical and sensory characteristics of eating quality in sweet corn.

This study was conducted to ascertain the chromosomal location and magnitude of effect of quantitative trait loci (QTL) associated with the chemical and sensory properties of sweet corn (Zea mays L.) eating quality. Eighty-eight RFLPs, 3 cloned genes (sh1, sh2, and dhn1), and 2 morphological markers (a2 and se1) distributed throughout the sweet corn genome were scored in 214 F2:3 families derived from a cross between the inbreds W6786su1Se1 and IL731Asu1se1. Kernel properties associated with eating quality (kernel tenderness and starch, phytoglycogen, sucrose, and dimethyl sulfide concentrations) were quantified on F2:3 sib-pollinated ears harvested at 20 days after pollination. Sensory evaluation was conducted on a subset of 103 F2:3 families to determine intensity of attributes associated with sweet corn eating quality (corn aroma, grassy aroma, sweetness, starchiness, grassy flavor, crispness, tenderness, and juiciness) and overall liking. Single factor analysis of variance revealed significant QTL for all these traits, which accounted for from 3 to 42% of the total phenotypic variation. A proportion of the RFLP markers associated with human sensory response were also found to be associated with kernel characteristics. To our knowledge this is the first report of the identification of QTL associated with human flavor preferences in any food crop. Key words : sweet corn, RFLP, quantitative trait loci, eating quality, sensory evaluation.     

COMPARISON OF ATTRIBUTE LIKING AND JAR SCALES TO EVALUATE THE ADEQUACY OF SENSORY ATTRIBUTES OF MILK DESSERTS

Just-about-right (JAR) scales and attribute liking questions are usually used to study consumer perception of the sensory characteristics of food products. The aim of the present work was to compare the performance of attribute liking and JAR scales to evaluate consumers' perceived adequacy of flavor and texture of milk puddings. Two groups of consumers were asked to evaluate eight milk desserts using (1) overall liking followed by attribute liking for texture and flavor and (2) overall liking followed by JAR scales for thickness, creaminess, sweetness and vanilla flavor. Overall liking scores were significantly different when JAR scales or attribute liking questions were considered. Texture, flavor and overall liking scores were highly correlated to each other, providing the same information. JAR scales correlated better with the intensity of sensory attributes evaluated by a trained sensory panel, being JAR percentages a reliable tool to study the adequacy of sensory attributes.

PRACTICAL APPLICATIONS

Results from the present work showed that consumers might not be able to independently evaluate their liking of different sensory attributes of a product. For this reason, the use of attribute liking questions for studying the adequacy of sensory attributes in complex products would not be recommended. JAR scales were better indicators of the adequacy of sensory attributes. Consumers were able to independently evaluate texture and flavor attributes using JAR scales. However, the influence of JAR scales on overall liking scores should be taken into account when including these scales on consumer studies.     

Perceptual characterization and analysis of aroma mixtures using gas chromatography recomposition-olfactometry

This paper describes the design of a new instrumental technique, Gas Chromatography Recomposition-Olfactometry (GC-R), that adapts the reconstitution technique used in flavor chemistry studies by extracting volatiles from a sample by headspace solid-phase microextraction (SPME), separating the extract on a capillary GC column, and recombining individual compounds selectively as they elute off of the column into a mixture for sensory analysis (Figure 1). Using the chromatogram of a mixture as a map, the GC-R instrument allows the operator to "cut apart" and recombine the components of the mixture at will, selecting compounds, peaks, or sections based on retention time to include or exclude in a reconstitution for sensory analysis. Selective recombination is accomplished with the installation of a Deans Switch directly in-line with the column, which directs compounds either to waste or to a cryotrap at the operator's discretion. This enables the creation of, for example, aroma reconstitutions incorporating all of the volatiles in a sample, including instrumentally undetectable compounds as well those present at concentrations below sensory thresholds, thus correcting for the "reconstitution discrepancy" sometimes noted in flavor chemistry studies. Using only flowering lavender (Lavandula angustifola 'Hidcote Blue') as a source for volatiles, we used the instrument to build mixtures of subsets of lavender volatiles in-instrument and characterized their aroma qualities with a sensory panel. We showed evidence of additive, masking, and synergistic effects in these mixtures and of "lavender' aroma character as an emergent property of specific mixtures. This was accomplished without the need for chemical standards, reductive aroma models, or calculation of Odor Activity Values, and is broadly applicable to any aroma or flavor.