Lead (pb) toxicity in saccharomyces cerevisiae: the role of cell wall

O chumbo é utilizado em muitos produtos, tais como baterias, gasolina, tintas e corantes, resultando na sua libertação no meio ambiente. Neste trabalho, foi examinado o papel da parede celular da levedura Saccharomyces cerevisiae como uma barreira ou como alvo da toxicidade do chumbo. A biodisponibilidade do Pb é muito reduzida pelos componentes do meio de cultura YEPD, o que dificulta a avaliação da toxicidade deste elemento em concentrações ambientalmente realistas. Para avaliar a toxicidade de Pb em S. cerevisiae, em condições de crescimento, foram efetuadas diferentes diluições (10-100 vezes) do meio YEPD, as quais foram misturadas com várias concentrações de Pb (0,1-1,0 mmol/l). Observou-se que o YEPD diluído 25 vezes constituía a melhor condição de compromisso entre o crescimento celular e a precipitação de Pb. Os genes CWP1 e CWP2 codificam para duas grandes manoproteínas da parede celular da levedura S. cerevisiae; a deleção destes genes CWP aumenta a permeabilidade da parede celular. A suscetibilidade de células de levedura interrompidas no gene CWP1 (estirpe cwp1Δ) ou CWP2 (estirpe cwp2Δ) foi comparada com a da estirpe, isogénica, selvagem (WT). Verificou-se que o crescimento das estirpes cwp1Δ e cwp2Δ, no meio de cultura YEPD 25 vezes diluído, na presença de Pb, não diferiu do crescimento da estirpe WT. Este resultado sugere que a alteração da permeabilidade da parede celular não altera a sensibilidade de células de levedura ao Pb. Foi investigada o impacto do Pb na parede celular de levedura. Para este efeito, comparou-se a suscetibilidade ao dodecil sulfato de sódio (SDS), ao calcofluor (CFW) e a uma enzima que degrada a parede da célula (liticase), em células da estirpe WT não expostas ou expostas a Pb durante 4, 8 ou 24 h. Além disso, o conteúdo de quitina da parede celular de levedura foi investigada por coloração das células com CFW. Os resultados não mostraram uma alteração da suscetibilidade ao SDS e ao CFW, nas células tratadas com Pb; contudo, nas células tratadas durante 24 h com Pb, observou-se um aumento da sensibilidade à liticase e um aumento da coloração com CFW. Estes resultados sugerem que o chumbo interage com a parede celular da levedura e influencia a sua composição. Deve ser levado a cabo trabalho adicional a fim de confirmar estes resultados.

Direct-search penalty/barrier methods

In Nonlinear Optimization Penalty and Barrier Methods are normally used to solve Constrained Problems. There are several Penalty/Barrier Methods and they are used in several areas from Engineering to Economy, through Biology, Chemistry, Physics among others. In these areas it often appears Optimization Problems in which the involved functions (objective and constraints) are non-smooth and/or their derivatives are not know. In this work some Penalty/Barrier functions are tested and compared, using in the internal process, Derivative-free, namely Direct Search, methods. This work is a part of a bigger project involving the development of an Application Programming Interface, that implements several Optimization Methods, to be used in applications that need to solve constrained and/or unconstrained Nonlinear Optimization Problems. Besides the use of it in applied mathematics research it is also to be used in engineering software packages.

Recycling old screen-printed electrodes with newly designed plastic antibodies on the wall of carbon nanotubes as sensory element for in situ detection of bacterial toxins in water

Using low cost portable devices that enable a single analytical step for screening environmental contaminants is today a demanding issue. This concept is here tried out by recycling screen-printed electrodes that were to be disposed of and by choosing as sensory element a low cost material offering specific response for an environmental contaminant. Microcystins (MCs) were used as target analyte, for being dangerous toxins produced by cyanobacteria released into water bodies. The sensory element was a plastic antibody designed by surface imprinting with carefully selected monomers to ensure a specific response. These were designed on the wall of carbon nanotubes, taking advantage of their exceptional electrical properties. The stereochemical ability of the sensory material to detect MCs was checked by preparing blank materials where the imprinting stage was made without the template molecule. The novel sensory material for MCs was introduced in a polymeric matrix and evaluated against potentiometric measurements. Nernstian response was observed from 7.24 × 10−10 to 1.28 × 10−9 M in buffer solution (10 mM HEPES, 150 mM NaCl, pH 6.6), with average slopes of −62 mVdecade−1 and detection capabilities below 1 nM. The blank materials were unable to provide a linear response against log(concentration), showing only a slight potential change towards more positive potentials with increasing concentrations (while that ofthe plastic antibodies moved to more negative values), with a maximum rate of +33 mVdecade−1. The sensors presented good selectivity towards sulphate, iron and ammonium ions, and also chloroform and tetrachloroethylene (TCE) and fast response (<20 s). This concept was successfully tested on the analysis of spiked environmental water samples. The sensors were further applied onto recycled chips, comprehending one site for the reference electrode and two sites for different selective membranes, in a biparametric approach for “in situ” analysis.

Adaptive Penalty and Barrier function based on Fuzzy Logic

Optimization methods have been used in many areas of knowledge, such as Engineering, Statistics, Chemistry, among others, to solve optimization problems. In many cases it is not possible to use derivative methods, due to the characteristics of the problem to be solved and/or its constraints, for example if the involved functions are non-smooth and/or their derivatives are not know. To solve this type of problems a Java based API has been implemented, which includes only derivative-free optimization methods, and that can be used to solve both constrained and unconstrained problems. For solving constrained problems, the classic Penalty and Barrier functions were included in the API. In this paper a new approach to Penalty and Barrier functions, based on Fuzzy Logic, is proposed. Two penalty functions, that impose a progressive penalization to solutions that violate the constraints, are discussed. The implemented functions impose a low penalization when the violation of the constraints is low and a heavy penalty when the violation is high. Numerical results, obtained using twenty-eight test problems, comparing the proposed Fuzzy Logic based functions to six of the classic Penalty and Barrier functions are presented. Considering the achieved results, it can be concluded that the proposed penalty functions besides being very robust also have a very good performance.