Search

A reliable and robust tool for supporting the panel test in virgin olive oil classification is still required. We propose four chemometric approaches based on t test, principal component analysis (PCA) and linear discriminant analysis (LDA), applied for combining sensorial data, and chemical measurements. The former was from the panel test, and the latter was from headspace solid-phase microextraction-gas chromatography-mass spectrometry quantitation of 73 volatile organic compounds (VOCs) of 1223 typical commercial virgin olive oils, with most of them recognized as difficult to classify with accuracy by the panel test. The approaches were developed and validated, and the best results, with 83.5% correct classification, were using the PCA-LDA approach. Among the other methods, developed for proposing simplified procedures based on a smaller number of VOCs, the best method gave 80.1% correct classification only using 10 VOCs. All of the approaches suggested that octane, heptanal, pent-1-en-3-ol, Z-3-hexenal, nonanal, and 4-ethylphenol should be considered as a basis of volatiles for classification of olive oil samples.

A new series of pyrazolo[5,1-c][1,2,4]benzotriazine 5-oxide 8-alkyloxy-/aryloxy-/arylalkyloxy and 8-aryl-/arylalkylderivatives variously substituted at the 3-position were synthesized and binding studies at the benzodiazepine site on GABA(A) receptor were carried out. The pharmacological profile was identified for compounds 10, 11, 16(+), 16(-), and 17 by considering six potential benzodiazepine actions: motor coordination, anticonvulsant action, spontaneous motility and explorative activity, potential anxiolytic-like effects, mouse learning and memory modulation, and finally, ethanol-potentiating action. Compound 17 stands out as the compound that improves mouse memory processes selectively, safely, and in a statistically significant manner. From a ligand-based pharmacophoric model, we identified a hydrogen bond interaction area HBp-3 near the lipophilic area. This new pharmacophoric model allowed us to identify four structural compound typologies and thus to rationalize the affinity data of all compounds.

The synthesis, BZR binding activity, and GABA ratio of some 1,2,4-tria- zolo[1,5-a]quinoxalines and imidazo[1,2-a]quinoxalines are reported. Both series of compounds displayed similar affinities while their effi- cacies were different. The structure-activity relationships have pro- vided the opportunity to localize on the BZR accessory areas which are able to enhance the affinity and evaluate the importance of the presence or absence of a proton acceptor atom to determine different trends of efficacy

A series of 1,3-diarylpyrazolo[4,5-c]- and -[5,4-c]quinolin-4-ones were prepared and tested for their ability to displace [3H]flunitrazepam from bovine brain membranes. While the 1,3-diarylpyrazolo[4,5-c]quinoline derivatives showed affinity for the receptor site, their [5,4-c] isomers were devoid of binding activity.

A series of 1-aryl-3,5-dimethyl-4,5-dihydro-1H-pyrazolo[4,5-c]quinolin-4-ones (2a-e) and 1-aryl-3-methyl-1H-pyrazolo[4,5-c]quinolines (3-7a-e) bearing different substituents at position 4 were prepared and tested for their ability to displace specific [3H]flunitrazepam binding from bovine brain membranes. The 5-N-methyl derivatives 2a-c,e were the compounds that bound with the highest affinity within this class. The replacement of the carbonyl group with other substituents and the resulting aromatization of the pyridine moiety greatly decreased the binding affinity. From a Lineweaver-Burk analysis on the most active compound 2b, it appears that the inhibition is a competitive one.