Desenvolvimento de um biossensor potenciométrico, à base de soja, para a determinação de uréia

In this work, the objective in study was the development of a biossensor potencyometric for urea detection, starting from the extracted urease of soy grains. Initially, was made a chemometrics study, through a planning factorial 24, objectified to find great conditions for the extraction of the urease without its properties were affected. Starting from this study, the best conditions were determined for the obtaining of rich extracts in urease, allowing the biossensors making with good characteristics. These were made using a platinum electrode as transducer with the dispersed urease in chitosan head office and reticulated in glutaraldehyde vapor. The biossensors obtained presented a limit of urea detection the same to 0,33 mM and lineal strip between 0,33 and 3 mM of the substratum. The time of answer was considered loud, mainly, in low concentrations of the substratum, where it was taken about 5 minutes by analysis. For high concentrations that time was reduced for not more than one minute. The time of life was limited by the adherence of the enzymatic membrane to the transducer, but it was possible to maintain the biossensor with operation for one month with about 50 accomplished measures. Application of the biossensor for analyses of fertilizers to the urea base presented excellent result for a sample with few interfering, but it was different when the used fertilizer was originating from of a complex sample. Even so the label was not expressed the text of nitrogen it was totally coming of the urea. An evaluation of the kinetic parameters of the catalytic reaction of the biossensor showed coherence with the results exposed in the literature

Estudo dos principais fatores que influenciam na solubilização dos hpas em águas

Polycyclic aromatic hydrocarbons (PAHs) constitute a family of compounds characterized by having two or more condensed aromatic rings and for being a class of substances that are widely distributed in the environment as a complex mixture, being very persistent in the environment due to its low solubility in water. The application of chemometric methods to analytical chemistry has provided excellent results in studying the solubility of PAHs in aqueous media in order to understand the mechanisms involved in environmental contamination. The method consists in analyzing the solubilization of PAHs from diesel oil in water varying parameters such as stirring time, volume of oil added and pH, using a full factorial design of two levels and three factors. PAHs were extracted with n-hexane and analyzed by fluorescence spectroscopy because they have molecular characteristics fluorescent due to the large number of condensed rings and links, and gas chromatography coupled to a mass spectrometer (GC-MS). The results of fluorescence analysis showed that only the stirring time and pH influenced the solubility of PAHs in diesel fuel. How is a non-selective technique for the study of fluorescence was performed on form and semi-quantitative. And for the chromatographic analysis the results showed that the solubility of the different PAHs is influenced differently so that you can classify them into groups by the results of the effects

Factorial designs: an overview with applications to orthodontic clinical trials.

Factorial designs for clinical trials are often encountered in medical, dental, and orthodontic research. Factorial designs assess two or more interventions simultaneously and the main advantage of this design is its efficiency in terms of sample size as more than one intervention may be assessed on the same participants. However, the factorial design is efficient only under the assumption of no interaction (no effect modification) between the treatments under investigation and, therefore, this should be considered at the design stage. Conversely, the factorial study design may also be used for the purpose of detecting an interaction between two interventions if the study is powered accordingly. However, a factorial design powered to detect an interaction has no advantage in terms of the required sample size compared to a multi-arm parallel trial for assessing more than one intervention. It is the purpose of this article to highlight the methodological issues that should be considered when planning, analysing, and reporting the simplest form of this design, which is the 2 × 2 factorial design. An example from the field of orthodontics using two parameters (bracket type and wire type) on maxillary incisor torque loss will be utilized in order to explain the design requirements, the advantages and disadvantages of this design, and its application in orthodontic research.

Enterprise resources planning systems impacts: A Delphi study of Australian public sector

The business value of Enterprise Resource Planning systems (ERP systems), and in general large software implementations, has been extensively debated in both popular press and in the academic literature for over two decades. Organisations invest enormous sums of money and resources in Enterprise Resource Planning systems (and related infrastructure), presumably expecting positive impacts to the organisation and its functions. Some studies have reported large productivity improvements and substantial benefits from ERP systems, while others have reported that ERP systems have not had any bottom-line impact. This paper discusses initial findings from a study that focuses on identifying and assessing important ERP impacts in 23 Australian public sector organizations.