Dual layer solid phase extraction based on molecular imprinting technology: Seeking a route to enhance selectivity for trace analysis of pesticide residues in olive oil.

Aiming to introduce a multiresidue analysis for the trace detection of pesticide residues belonging to organophosphorus and triazine classes from olive oil samples, a new sample preparation methodology comprising the use of a dual layer of “tailor-made” molecularly imprinted polymers (MIPs) SPE for the simultaneous extraction of both pesticides in a single procedure has been attempted. This work has focused on the implementation of a dual MIP-layer SPE procedure (DL-MISPE) encompassing the use of two MIP layers as specific sorbents. In order to achieve higher recovery rates, the amount of MIP layers has been optimized as well as the influence of MIP packaging order. The optimized DL-MISPE approach has been used in the preconcentration of spiked organic olive oil samples with concentrations of dimethoate and terbuthylazine similar to the maximum residue limits and further quantification by HPLC. High recovery rates for dimethoate (95%) and terbuthylazine (94%) have been achieved with good accuracy and precision. Overall, this work constitutes the first attempt on the development of a dual pesticide residue methodology for the trace analysis of pesticide residues based on molecular imprinting technology. Thus, DL-MISPE constitutes a reliable, robust, and sensitive sample preparation methodology that enables preconcentration of the target pesticides in complex olive oil samples, even at levels similar to the maximum residue limits enforced by the legislation.

An Assessment to Toxicological Risk of Pesticide Exposure

On the one hand, pesticides may be absorbed into the body orally, dermally, ocularly and by inhalation and the human exposure may be dietary, recreational and/or occupational where toxicity could be acute or chronic. On the other hand, the environmental fate and toxicity of the pesticide is contingent on the physico-chemical characteristics of pesticide, the soil composition and adsorption. Human toxicity is also dependent on the exposure time and individual’s susceptibility. Therefore, this work will focus on the development of an Artificial Intelligence based diagnosis support system to assess the pesticide toxicological risk to humanoid, built under a formal framework based on Logic Programming to knowledge representation and reasoning, complemented with an approach to computing grounded on Artificial Neural Networks. The proposed solution is unique in itself, once it caters for the explicit treatment of incomplete, unknown, or even self-contradictory information, either in terms of a qualitative or quantitative setting.

Pesquisa de Campylobacter fetus em amostras prepuciais de touros da região do Alentejo

A bactéria Campylobacter fetus divide-se em duas subespécies C. fetus fetus (Cff) e C. fetus venerealis (Cfv). Cfv é o agente patogénico responsável pela campilobacteriose genital bovina (CGB), uma doença que provoca infertilidade em vacas. Cff pode provocar abortos esporádicos, mas não provoca CGB. Neste trabalho procedeu-se à pesquisa de C. fetus por imunofluorescência direta (IFD) em 117 amostras prepuciais, recolhidas por raspagem, de touros pertencentes a 25 explorações na região do Alentejo. A prevalência real de CGB na amostra, considerando a sensibilidade e especificidade do teste, foi de 52,89% de animais e 80% de explorações. Foi também realizada uma comparação entre dois testes de diagnóstico de CGB, a IFD e o isolamento bacteriológico. O isolamento bacteriológico foi difícil de executar e a presença de bactérias contaminantes foi bastante problemática, levando a resultados falso-negativos. A sua correlação com a IFD foi muito baixa, tendo esta revelado ser muito mais sensível; #### Abstract Search for Campylobacter fetus in preputial samples of bulls from Alentejo region The bacteria Campylobacter fetus comprises two subspecies, C. fetus fetus (Cff) and C. fetus venerealis (Cfv). Cfv is the pathogen responsible for bovine genital campylobacteriosis (BGC), a disease that causes infertility in cows. Cff may lead to sporadic miscarriages, but does not cause BGC. In this work we searched for C. fetus by direct immunofluorescence (DIF) in 117 preputial samples, collected by scraping, from bulls from Alentejo region. The actual prevalence of BGC, considering the sensitivity and specificity of the test was 52.89% of animals and 80 % of farms. It was also performed a comparison between two BGC diagnostic tests, bacterial isolation and DIF. The bacterial isolation was difficult to perform and the presence of bacterial contaminants was very problematic, leading to false-negative results. The presence of bacterial contaminants in bacterial isolation was problematic, leading to false-negative results. Its correlation with DIF was quite low, and DIF proved to be much more sensitive.

Geochemical analysis of sediments from a polluted waterway in the vicinity of a metallurgical plant, Minas Gerais, Brazil

Mining and metallurgical industries are the most responsible for heavy metal contamination. These contaminants are often associated to poor management strategies and the lack of suitable containment areas. This is the case of one of the largest metal alloy producers in the São Francisco river basin, in Minas Gerais state, Brazil. During operation, the tailings of this activity have been accumulated in the surrounding area, leading to heavy metal contamination (Mn, Cu, Zn, Ni, Pb, Cd, Cr and As), much above the critical levels, which accumulate in the sediments of the nearby waterways, in the soils of the drainage area, and in the water column. In this work we are going to discuss both the contamination level and its extent in the Consciência river, a small tributary of the São Francisco river, the longest river entirely Brazilian, by analyzing the geochemistry and mineralogy of the accumulated sediments. It will be also discuss the reclamation strategies of this site and the impact on the environment.