ABSTRACT
El Centro de Información Toxicológica de la Universidad Católica (CITUC) recibe llamados telefónicos de todo Chile en relación a intoxicaciones. Este artículo realiza una revisión de los llamados recibidos durante 2007 y específicamente los relacionados a intoxicación con rodenticidas, sustancia importante por la gravedad de sus consecuencias.
Subject(s)
Humans , Adolescent , Infant , Child, Preschool , Child , Anticoagulants/adverse effects , Poisoning/epidemiology , Poisoning/etiology , Rodenticides/adverse effects , Age Distribution , Poison Control Centers/statistics & numerical data , Chile/epidemiology , Poisoning/therapy , Rodenticides/chemistryABSTRACT
Objetivo: caracterizar a composição química dos raticidas granulados comercializados na região metropolitana de Belém - Pará. Método: triagem por cromatografia em camada delgada de 120 amostras de raticidas emfeiras livres e outros estabelecimentos comerciais na região metropolitana de Relém. Resultado; amostras analisadas foram positivas para carbamatos, 25% para organofosforados e 5% para cum encontradas 15% da associação carbamato e organofosforado. Conclusão: os carbamatos foram os mais encontrados (55%).
Objective: this work aimed the chemical identification of granulated rodenticides market in Belem-Para, for help in the diagnosis and treatment of the intoxicated patients. Method: screening by thin layer chromatography of 120 samples of granulated rodenticides acquired commercial establishments located in the metropolitan region of Belem-Para. Results: 55% of the analyzed samples were positive for carbamate, 25% for organophosphates and, 5% for coumarins. Were founds 15% of carbamate and organophosphate associations. Conclusion: the treatmen and laboratorial evaluation of poisoning for those compounds require differentiated procedures.
Subject(s)
Carbamates , Coumarins , Insecticides, Organophosphate , Rodenticides/chemistryABSTRACT
Carcinogenic activity has been investigated using the Radial-Distribution-Function (RDF) approach. A discriminant model was developed to predict the carcinogenic and non-carcinogenic activity on a data set of 188 compounds. The percentage of overall classification was 76.4% for the carcinogenic chemicals and 72.5% for the non-carcinogenic chemicals. The predictive power of the model was validated by two tests: a cross-validation by the resubstitution technique and a test set (compounds not used in the development of the model) with 79.3 and 72.5% good classification, respectively. The RDF descriptors were compared with eight other methodologies; Constitutional, Molecular walks counts, Galvez topological charge indices, 2D autocorrelations, Randic molecular profiles, Geometrical, 3D-MORSE, and WHIM, demonstrating that the RDF descriptors are better to the rest of the approaches used.