9 research outputs found
Mycotoxin Detection Plays âCops and Robbersâ: Cyclodextrin Chemosensors as Specialized Police?
As in a cops and robbers play we discover new mycotoxins and metabolites everyday and we are forced to develop new molecules quickly as chemo- or biosensors or to modify existing molecules able to recognize these new hazardous compounds. This will result in an enormous cost saving to agro-food industry through the prevention and reduction of product recalls and reduced treatment costs. Here we present a brief review of the rapid methods used to detect mycotoxins, considering usefulness and limits. Then we propose a new fast, efficient and cheap methodology, based on a combination of computer chemistry aided design and fluorescence, that can help to drive synthesis in a more efficient way
Teaching Physical Chemistry Experiments with a computer simulation by LabVIEW
This article reports the results obtained using a computer program developed with the software LabVIEW. The program is a computer simulation of the physical chemistry experiment regarding the vapor pressure measurements of a pure liquid as a function of temperature. We also describe a system of data collecting to emphasize the similarities between the virtual and real experiment, which allows the user to read the data in the laboratory with an instrument similar to the one simulated in the virtual experience
Explaining cyclodextrin-mycotoxin interactions using a "naturtal force field"
Docking techniques and the HINT (Hydropathic Interaction) program were used to explain interactions of aflatoxin B1
and ochratoxin A with b- and c-cyclodextrins. The work was aimed at designing a chemosensor to identify very low concentrations
of these mycotoxins by exploiting the affinity of the cyclodextrin cavity for many small organic molecules. Actually, the inclusion of
the fluorescent portion of these toxins into the cavity may lower the quenching effect of the solvent, thus enhancing the luminescence.
HINT is a ânaturalâ force field, based on experimentally determined Log Poctanol/water values, that is able to consider both enthalpic
and entropic contributions to the binding free energy with an unified approach. HINT is normally applied to predict the DG of
binding for proteinâligand, proteinâprotein, and proteinâDNA interactions. The leading forces in biomolecular processes are the
same as those involved in organic hostâguest inclusion phenomena, therefore we applied this methodology for the first time to cyclodextrin
complexes. The results allowed us to explain spectroscopic data in absence of available crystallographic or NMR structural
data