Applications of an electronic nose in the prediction of oxidative stability of stored biodiesel derived from soybean and waste cooking oil.

Waste cooking oil (WCO) is a valuable feedstock for the synthesis of biodiesel but the product exhibits poor oxidative stability. Techniques available for assessing this parameter are generally expensive and time-consuming, hence the purpose of this study was to develop and validate a rapid and reliable predictive system based on signals from the sensors of a commercial hand-held e-nose instrument. Biodiesels were synthesized from soybean oil and six samples of WCO, and their physicochemical characteristics and oxidative stabilities determined before and after storage in different types of containers for 30 or 60 days at room temperature or 43 °C. Linear regression models were constructed based on principal component analysis of the signals generated by all 32 e-nose sensors and stochastic modeling of signal profiles from individual sensors. The regression model with principal components as predictors was unable to explain the oxidative stability of biodiesels, while the regression model with stochastic parameters (combining signals from 11 sensors) as predictors showed an excellent goodness of fit (R2 = 0.91) with a 45-sample training set and a good quality of prediction (R2 = 0.84) with a 18-sample validation set. The proposed e-nose system was shown to be accurate and efficient and could be used to advantage by producers/distributors of biodiesel in the assessment fuel quality.

The influence of macrofouling on the corrosion behaviour of API 5L X65 carbon steel.

Seawater is a complex corrosive system, and biofouling is one of the factors that influences corrosion processes. The behaviour of corrosion associated with the development of macrofouling was investigated during the first 6 months of the successional process. Three treatments were compared: the 'Control' treatment (absence of macrofouling); 'Community' treatment, and 'Barnacle' treatment, where other macroorganisms were excluded. In the Community treatment, the dominant organisms were filamentous macroalgae (23.73%), barnacles (17.51%), hydroids (16.96%) and encrusting bryozoans (9.58%). In the Barnacle treatment, the cover varied between 39.38% and 62.50%. The corrosion potential ranged from -665.75 to -517.50 mV(Ag/AgC l((KCl))) and could not be associated with fouling development. The highest corrosion rate in the control suggests that macrofouling provides a protection against mass loss. The highest percentage of localised attacks was found in the Community treatment. This may indicate that not only barnacles, but also other organisms induce localised corrosion.