FREE CHOICE PROFILING OF CHILEAN GOAT CHEESE

Different goat cheeses from Chile were studied by Free-Choice Profile (FCP) analysis. Generalized Procrustes Analysis (GPA) applied to FCP data permitted differentiation between samples and informed on the attributes responsible for the observed differences. Appearance was a dominant factor in discriminating samples and to a lesser degree textural variables were also correlated with GPA dimensions. In acceptability the fresh cheeses were significantly preferred over the ripened ones.     

ASSOCIATION OF STRAWBERRY YOGURT SENSORY PROPERTIES WITH PRODUCT COMPOSITION BY PROCRUSTES ANALYSIS

The flavor of eight samples of commercial strawberry yogurt was studied by Free-Choice Profile analysis (FCP). Generalized Procrustes Analysis (GPA) applied to FCP allowed differentiation between samples and highlighted flavor attributes responsible for the observed differences. The relation between sensory and physicochemical datasets was studied by means of GPA. Those samples with higher carbohydrate content were perceived as sweeter, having stronger strawberry flavor, and with more dairy and yogurt flavors. Samples with higher titratable acidity, ash and protein content were perceived as more acidic and higher in intensity of "faulty" or "defective" flavors. Higher moisture content was associated with lower intensity of "dairy" flavors (creamy, dairy, and yogurt) and greater intensity of rancid flavor. It is concluded that, though not often used to this end, GPA is a suitable method to study the relationship of sensory and instrumental measurements.     

TEXTURE OF SWEET ORANGE GELS BY FREE-CHOICE PROFILING

Texture of orange gels prepared with 15% fruit pulp, sucrose up to 55° Brix and five different gelling agents — kappa-carrageenan, kappa-carrageenan plus locust bean gum, alginate, gellan gum, and gellan, xanthan and locust bean gums — was studied by Free-Choice Profile (FCP) analysis. Maximum rupture force and deformation at rupture were also determined by uniaxial compression in an Instron texturometer. Generalized Procrustes Analysis applied to FCP data permitted differentiation between samples and informed on the textural attributes responsible for the observed differences. Sensory differences were in general in accordance with mechanical differences. However, carrageenan and gellan gum gels were differentiated with the sensory method applied but not with mechanical tests.     

EVALUATION OF PANELIST PERFORMANCE IN DESCRIPTIVE PROFILING OF RANCID SAUSAGES: A MULTIVARIATE STUDY

This paper illustrates an application of principal component analysis (PCA), partial least squares regression (PLS) and generalized procrustes analysis (GPA) to evaluate the ability of a trained group of assessors to perceive rancidity in foods. PCA and regression PLS were utilized to determine to which extent sensory attributes capture the information perceived by a trained sensory panel, and if this can be developed into a predictive model for rancidity in sausages. The data were submitted to a GPA to obtain a map of the products for each subject as compared with a consensus products map. Assessors plots for the sensory attributes were also obtained to reveal the dissimilarities between panelists and to explore clustering.     

SENSORY EVALUATION OF VANILLA-DAIRY DESSERTS BY REPERTORY GRID METHOD AND FREE CHOICE PROFILE

“Natillas” are semisolid dairy desserts widely consumed in Spain, with notable differences existing between commercial brands in their composition and sensory and physical properties. The repertory grid method, in conjunction with the free choice profile (FCP), was used to provide data on how consumers perceived eight commercial “natillas” samples. The most frequent terms used were: vanilla flavor, sweetness, consistency and liquid texture as described by 77, 67, 57 and 53% of the consumers, respectively. A three‐dimensional solution was chosen. Dimension 1 accounted for 27.23% of variance and separated the samples largely by yellow‐color intensity and consistency. Dimension 2 (15.88%) was mainly related to the visual attributes of texture, creaminess and different notes of flavor. The third dimension (11.34%) was related to structural‐texture attributes, orange‐yellow color and acid and artificial flavors. The assessors plot showed two clusters. Analysis of each group data revealed differences in their perception of sample variation, mainly regarding texture and color.     

An Investigation into Chestnut Honeys from Artvin Province in Turkiye: Their Physicochemical Properties,Phenolic Profiles and Antioxidant Activities

The aim of this study was to investigate the physicochemical properties, phenolic compounds, and antioxidant activities of eight chestnut honey samples collected from Artvin province in Turkiye. The honey samples’ phenolic profiles were analyzed using reverse phase high performance liquid chromatography (RP-HPLC). All honeys were monofloral, and the quantities of chestnut sativa pollen ranged from 56 % to 80 %. Total phenolic and flavonoid contents and ferric reducing/antioxidant power (FRAP) values were assessed. The pH and moisture values of the honeys ranged between 4.60 and 5.40 and between 17.60 % and 19.00 %, respectively. Electrical conductivity (EC) and Hunter color L values ranged between 0.56 and 1.12 mS/cm and between 43.16 and 67.60, respectively. Proline values ranged from 876 to 1246 mg/kg. The diastase activities of all honeys were high, ranging between 18.28 and 26.30 DU. The mean of total phenolic, total flavonoid and total antioxidant (FRAP) levels in the samples were 72.79±0.03 mg GAE/100 g, 2.25±00.03mg QE/100 g, and 312.67±2.85 μmol FeSO₄/100 g, respectively. Almost all of the 19 phenolic standards studied were detected in the samples, with catechin, chrysin, caffeic acid, caffeic acid phenethyl ester (CAPE) and gallic acid being determined as major components. In conclusion, the honeys from the Artvin region were high-quality chestnut honeys, with high polyphenolic contents and diversity and high apitherapeutic potentials.     

THE RELATION OF REPERTORY GRID/GENERALIZED PROCRUSTES ANALYSIS SOLUTIONS TO THE DIMENSIONS OF PERCEPTION: APPLICATION TO MUNSELL COLOR STIMULI

The repertory grid method (RGM) was initially devised to determine how individuals construe their worlds. There have been many attempts to extend this principle to look at relationships amongst objects, as seen by groups of individuals. However, to derive the implied consensus representation of the objects, poses conceptual and mathematical problems because of the idiosyncratic nature of constructs elicited using RGM. Generalized Procrustes analysis (GPA) offers a solution since there is no assumption of common interpretation of constructs. It is an implicit but apparently untested assumption of GPA, that mathematical and perceptual structure are analogous. To test this, combined RGM/GPA was applied to color. Using the method of triads, 24 subjects independently described constructs to characterize 26 Munsell color chips differing in Hue, Value and Chroma. Subjects then rated the colors on their own construct scales. The first six dimensions of the consequent color space were interpreted as brightness, greenness, lightness, purple/blueness, redness and yellowness. This differs from expectation only in that the colors were recovered on uni-polar dimensions rather than red-green and blue-yellow continua. However, since the main perceptual attributes of color were recovered the analogy assumption of GPA is supported, as is application to repertory grids.     

Pollen and organoleptic analysis of honeys in Leon province (Spain)

According to the pollen spectra recorded, most of them were monofloral (23) and 16 were multifloral. Erica honeys were the most abundant monofloral samples (9), Castanea sativa came next with 5; there were 3 samples of Helianthus annuus and 3 others of Lotus corniculatus and 1 of Rubus ulmifolius, Echium and Scrophularia canina pollen type respectively. The monofloral chestnuts honeys presented a minor pollen diversity. 108 pollen types were recorded, which belonged to 41 families. Fabaceae, Rosaceae and Ericaceae were the most represented families in the honeys studied. Cytisus scoparius and Rubus ulmifolius were the pollen types, which appeared in the highest number of samples. Certain pollen types such as Lavandula stoechas and Cistus ladanifer can be used as indicator or key elements in order to recognise the origin zone of honeys in the biogeographical Mediterranean region. As regards organoleptic analyses, most of our honeys (multiflorales, Erica, Rubus ulmifolius, Castanea sativa), samples are brown, not very sweet and present a homogeneous aspect, the other honeys have lighter colours, are sweeter and also have an homogeneous aspect (Helianthus annuus, Lotus corniculatus, Echium and Scrophularia canina -type).     

In vitro effect of some Indian honeys on Staphylococcus aureus from wounds

Staphylococcus aureus is the most frequently isolated pathogen from wounds with multiple resistances to antibiotics. Honey has been demonstrated and reported to be effective antibacterial agent on Gram positive and Gram negative organisms. Hence, the present study was conducted to evaluate the in vitro antibacterial effect of Indian honeys on Staphylococcus aureus obtained from wounds. A total of 123 Staphylococcus aureus isolates along with ATCC 25923 were categorized as sensitive, multi drug resistant (MDR) and non-MDR strains. Out of total nine Indian honeys (three each of unifloral, multifloral and branded marketed honey) used, three unifloral and three multifloral honey samples showed antibacterial activity against all the organisms tested by Agar diffusion method but not the branded marketed honeys. The MIC values of all honey samples for all studied Staphylococcus aureus isolates ranged between 5-15% (v/v). Unifloral honey samples showed higher antibacterial activity than multifloral honey. The single sample of Jambhul honey showed the highest activity. Thus, Indian honeys were found to be effective for their antimicrobial activity on sensitive, non-MDR, MDR and ATCC strains of S. aureus.     

A STATISTICAL TEST OF CONSENSUS OBTAINED FROM GENERALIZED PROCRUSTES ANALYSIS OF SENSORY DATA

Matrix matching techniques such as Generalized Procrustes Analysis (GPA) always produce a matrix of maximal agreement which can then be used to graphically represent samples in “consensus plots”. The degree to which the consensus plots produced by GPA on sensory data (such as that obtained from free choice profiling) actually give a picture of true consensus among panelists, as opposed to being merely artifacts of the analysis, has not been examined. Using a Monte Carlo approach, a statistical test is defined for qualifying this consensus. Examples of the application of the test to sensory profiling data of fruit flavors are given.     

A COMPARISON OF TWO MULTIVARIATE METHODS FOR THE ANALYSIS OF SENSORY PROFILE DATA

Tables of means, over assessors, are often used to summarize the results of sensory profile experiments. These tables are sometimes further summarized by Principal Components Analysis (PCA) to give plots of the samples in the principal sensory dimensions. An alternative procedure is to use Generalized Procrutes Analysis (GPA) on the assessor data to allow for differences in usage of the vocabulary and in the proportion of the scale used. It is shown that these methods give different configurations in the principal sensory dimensions when applied to the data from a study of cheeses (Muir et al. 1995). Using a Jackknife method to calculate the variability of the samples in the principal sensory dimensions, the results from the GPA method are shown to have a higher dimensionality than from the PCA method. Jackknife estimates of variability are used to calculate confidence ellipses to attach to the sensory space maps.     

Biodiversity of Salix spp. honeydew and nectar honeys determined by RP-HPLC and evaluation of their antioxidant capacity

Rare unifloral willow (Salix spp.) honeys obtained from nectar or honeydew were investigated by direct RP‐HPLC‐DAD method in order to identify and quantify compounds that can be used as possible markers of their origin. Antioxidant and antiradical activities of willow honeys were evaluated using FRAP (=ferric reducing antioxidant assay) and DPPH (=1,1‐diphenyl‐2‐picrylhydrazyl radical) tests, respectively. Also HMF (=5‐(hydroxymethyl)furfural), diastase activity, and CIE L*a*b*C*h* chromatic coordinates were evaluated. Abscisic acids (ABA) are typical of willow nectar honey, with a predominance of (Z,E)‐ABA on (E,E)‐ABA (98.2 and 31.7 mg/kg, resp.). Kinurenic acid and salicylic acid are useful to mark willow honeydew honey. The proposed HPLC‐DAD method proved to be easy and reliable to identify the two different Salix spp. honeys, being not affected from any sample preparation artifact. Total antioxidant activity measured with the FRAP assay ranged from 3.2 to 12.6 mmol Fe²⁺/kg, and the antiradical activity measured with the DPPH assay ranged from 0.6 to 3.0 mmol TEAC (=Trolox equivalent antioxidant capacity)/kg in nectar and honeydew honeys, respectively. Salix spp. nectar and honeydew honeys proved to be two completely different honeys, because, besides color attributes, they show different antioxidant properties and specific compounds.