EMULSION COATING TO EXTEND POSTHARVEST LIFE OF MANGO (MANGIFERA INDICA CV. MANILA)

A coating emulsion was prepared using maltodextrins, carboxymethylcellulose, propileneglycol and a mixture of s orbit an fatty acid esters with an HLB of 6. The emulsion was sprayed on fully mature, unripened manila mangoes, which were the stored at 15 and 25C and 80–85% R.H. At 25C it was observed that rate CO² production increased and lost in control fruits after 12 days of storage. Coated mangoes kept their rate CO² production and suffered only 8% weight loss after 21 days of storage. After storage, the coating was washed out and fruits were allowed to ripen naturally, which occurred in 3–4 days. The results obtained from this study indicate that application of the hydrophobic coating extended the postharvest storage of mangoes for at least 20 days more than uncoated fruits.     

Implant surface features as key role on cell behavior

It has been recognized that physical and chemical properties of biomaterial surfaces mediate the quality of extracellular matrix (ECM) that may affect cell behaviors. In nature, ECM is a heterogeneous three-dimensional superstructure formed by three major components, glycosaminoglycan, glycoconjugate, and protein, that anchors cellular compartments in tissues and regulates the function and the behavior of cells. Changes in the biointerface alter the quality of ECM and morphology through cell surface receptors, which, in turn, enable it to trigger specific cell signaling and different cellular responses. In fact, a number of strategies have been used to improve the functionality of surfaces and direct cell behavior through precisely designed environments. Herein, we aimed to discuss, through a science-based viewpoint, the biomaterial surface features on cell behavior and analyze the impact of cell physical modification on dental implant development.     

AZEOTROPE OF 2-METHYL-1.3 BUTADIENE-N-PENTANE SYSTEM AT DIFFERENT PRESSURES

Composition and boiling points of the azeotrope comprised of 2-methyl-l,3 butadiene and normal pentane are reported within the 53.03-101.60 K Pa pressure range. The uncertainties in the measured variables are: 0.001 mole fraction, 0.1 K Pa pressure and 0.03 K temperature. The parameters and their temperature trend. for the Wilson and the UNIQUAC solution models are also reported. These last parameters were extrapolated to predict the vapor-liquid equilibrium in the same system at 310.93, 316.48 and 322.04 K, obtaining satisfactory results at 310.93 K. and fair results at the other two temperature levels. Since the experimental results from this study cover better than others the range of likely application, its use is recommended in preference to earlier reported data.     

Analysis of electric quadrupole radiation in the time domain: application to large-current radiators

In this paper, the fields created by a hertzian electric quadrupole fed by a non-sinusoidal signal are analysed in the time domain. The results are compared with those obtained for an electric dipole and are applied to the study of the field created by the practical antenna, the large-current radiator.     

Aminopeptidase Activities from Lactobacillus sake in Models of Curing Ingredients and Processing Conditions for Dry Sausage

The effect of curing agents and dry sausage processing parameters on four aminopeptidases (AP 1, AP 2, AP 3, and AP 4) of Lactobacillus sake was investigated. NaCl exerted a strong inhibitory effect against AP 1 but activated the remaining aminopeptidases. NaNO₃ caused inhibition of AP 3 and AP 4. Ascorbic acid inhibited AP 1 and AP 3 while glucose only reduced AP 3 activity. Water activities and processing temperatures affected activity of all aminopeptidases. Acid pH decreased aminopeptidase activity except for AP 4. The combined effects of curing agents and process parameters to simulate different stages during dry sausage processing indicated that AP 2 and AP 4 may remain active throughout the process.     

Simultaneous HPLC Determination of 2,5-Dimethyl-4-hydroxy-3 (2H)-Furanone and Related Flavor Compounds in Strawberries

A rapid methodology (less than 90 min) is described for the qualitative and quantitative analysis of 2,5-dimethyl-4-hydroxy-3 (W)-furanone (furaneol), furaneol-β-glucoside, and 2,5-dimethyl-4-methoxy-3 (2H)-furanone (mesifurane) in strawberries. These compounds were resolved by HPLC with a RP C18 column, using acetate buffer and methanol as binary mobile phase and detection at 280 nm, and confirmed by GC-MS. The aqueous extraction procedure gave an average recovery of these compounds from strawberries > 90%, with detection limits: 0.14 furaneol, 0.05 furaneol-β-glucoside, and 0.36 μg/rnL mesifurane.     

Consumer acceptability and purchase intent of probiotic yoghurt with added glucose oxidase using sensometrics,artificial neural networks and logistic regression

This research aimed to identify the drivers of acceptance and purchase intent of a probiotic (Bifidobacterium longum BL05) nonflavoured yoghurt supplemented with glucose oxidase, and to model the consumers’ acceptability using sensometrics and artificial neural networks (ANN). Consumers (n = 100) evaluated the degree of liking of yoghurt assays in respect of appearance, aroma, taste, texture and overall linking. Sensometric techniques – multiple linear regression (MLR), partial least squares regression (PLS), principal component regression (PCR) – and ANN were used to model the overall liking. Sensory drivers of global acceptance and purchase intent were also determined using logistic regression (LR). Hierarchical cluster analysis (HCA) identified three consumer segments that presented differences in all sensory attributes evaluated (P < 0.05). The ANN model showed the best performance to predict overall liking, followed by the MLR, PLS and PCR, indicating that taste and texture were the most significant attributes impacting the yoghurts overall liking. In accordance with the logistic models, overall acceptance and purchase intent could be predicted with 81.94 and 85.49% accuracy, respectively. The logistic regression indicated that taste was the attribute that contributed significantly (P < 0.0001) to higher scores for purchase intent and was considered the driver of acceptance.