Determination of lipolytic and proteolytic activities of mycoflora isolated from dry-cured teruel ham.

Fungi play a key role in dry-cured ham production because of their lipolytic and proteolytic activities. In the present study, 74 fungal strains from dry-cured Teruel hams and air chambers were tested for proteolytic and lipolytic activities, with a view to their possible use as starter cultures. Lipolytic activity of fungi was studied against lauric, palmitic, stearic and oleic acids, whereas proteolytic activity was studied against casein and myosin. Of the 74 fungal strains tested, most of them demonstrated lipolytic activity (94.59 %). Lipolytic activity against lauric and oleic acids was stronger than against palmitic and stearic acids. 39 strains (52.70 %) demonstrated proteolytic activity against casein and the 6 highest proteolytic strains were also tested for pork myosin proteolysis. Some strains belonging to Penicillium commune, Penicillium chrysogenum, Penicillium nalgiovense and Cladosporium cladosporioides were selected because of their significant proteolytic and lipolytic activities and could be suitable to use as starters in dry-cured ham.

Mycobiota and toxigenic Penicillium species on two Spanish dry-cured ham manufacturing plants.

The present study reports the natural mycobiota occurring in dry-cured hams, and in particular on the incidence of mycotoxin-producing fungi. A total of 338 fungal colonies were isolated from three stages of production, these being the post-salting, ripening and aging stages in two manufacturing plants. The results show that fungi were more frequently isolated from the aging stage and that the predominant filamentous fungal genus isolated was Penicillium. Seventy-four of the 338 fungal strains were selected for identification at the species level by using morphological criteria and internal transcribed spacers sequencing. Of the 74 fungal strains, 59 were Penicillium strains. Sixteen Penicillium species were identified, with P. commune (24 strains) and P. chrysogenum (13 strains) being the most abundant. The potential ability to produce cyclopiazonic acid (CPA) and ochratoxin A (OTA) was studied by isolating the culture followed by HPLC analysis of these mycotoxins in the culture extracts. The results indicated that 25 (33.7%) of the 74 fungal strains produced CPA. Worth noting is the high percentage of CPA-producing strains of P. commune (66.6%) of which some strains were highly toxigenic. P. polonicum strains were also highly toxigenic. With respect to OTA-producing fungi, a low percentage of fungal strains (9.5%) were able to produce OTA at moderate levels. OTA-producing fungi belonged to different Penicillium species including P. chrysogenum, P. commune, P. polonicum and P. verrucosum. These results indicate that there is a possible risk factor posed by CPA and OTA contamination of dry-cured hams.

Search of a topological pattern to evaluate toxicity of heterogeneous compounds.

Molecular connectivity has been applied to the search of mathematical models able to predict the carcinogenic and teratogenic activity of a wide group of structurally heterogeneous compounds. Through the linear discriminant analysis and the diagrams of distribution of pharmacological activity, the classification criteria that minimizes the percentage of error are established. The easiness and speed of the calculation of the descriptors used in this work make the models developed useful in data bases containing a huge number of compounds.

Indices of differences of path lengths: novel topological descriptors derived from electronic interferences in graphs.

Novel topological descriptors, namely indices of differences of path lengths (DPs), are deduced from the physical model of wave interferences. Two electrons, moving through a circuit graph within a diffraction experiment, interfere in a given vertex of the graph. It is demonstrated that the overall sum of the inverse of the squares of the differences of topological distances between all pairs of vertices of the graph is a measure of the mean global kinetic energy of the electrons which are able to produce a constructive interference. New topological indices, namely indices of differences of path lengths are thus introduced as derived from such a diffraction pattern. These indices, according to the above expressed, should be a measure of the electron mobility within the molecule. As a consequence, a good prediction is to be expected for properties related to such mobility, such as resonance energy in aromatic hydrocarbons. Our results confirm that in fact, the resonance energies are well predicted by this means. Moreover, the new indices demonstrate to be very useful in the evaluation of biological properties such as antibacterial activities of a wide set of heterogeneous compounds.

Molecular topology: a useful tool for the search of new antibacterials.

Molecular topology has been applied to find new lead antibacterial compounds. Among the selected compounds, hesperidin, neohesperidin and Mordant Brown 24 stand out, with minimum inhibitory concentrations 90, MIC90 < 0.3 mg/mL.

Prediction of properties of chiral compounds by molecular topology.

A common assumption in chemistry is that chiral behavior is associated with 3-D geometry. However, chiral information is related to symmetry, which allows the topological handling of chiral atoms by weighted graphs and the calculation of new descriptors that give a weight to the corresponding entry in the main diagonal of the topological matrix. In this study, it is demonstrated that, operating in this way, chiral topological indices are obtained that can differentiate the pharmacological activity between pairs of enantiomers. The 50% inhibitory concentration (IC50) values of the D2 dopamine receptor and the sigma receptor for a group of 3-hydroxy phenyl piperidines are specifically predicted. Moreover, the sedative character of a group of chiral barbiturates can be identified.

Pharmacological distribution diagrams: a tool for de novo drug design.

Discriminant analysis applied to SAR studies using topological descriptors allows us to plot frequency distribution diagrams: a function of the number of drugs within an interval of values of discriminant function vs. these values. We make use of these representations, pharmacological distribution diagrams (PDDs), in structurally heterogeneous groups where generally they adopt skewed Gaussian shapes or present several maxima. The maxima afford intervals of discriminant function in which exists a good expectancy to find new active drugs. A set of beta-blockers with contrasted activity has been selected to test the ability of PDDs as a visualizing technique, for the identification of new beta-blocker active compounds.