Biodiesel characterization using electronic nose and artificial neural network
Sustainable process-product development & green chemistry
Sustainable & Clean Technologies - IIa: Energy Production (T1-5a)
Keywords: biodiesel, e-nose, artificial neural network
Biodiesel is an alternative to mineral diesel which has been studied worldwide due to its applicability, because no adaptations are needed in the motors reducing pollutant emissions and also due to its renewable characteristic since it is obtained from a variety of vegetable oils and a short chain alcohol. Ethanol and Methanol are the most used alcohols, depending on local agricultural resources.
Although biodiesel is greatly promising, its use has been introduced gradually all over the world. In fact, most countries are establishing rules to its introduction based on mixture contents with mineral diesel.
I such a way, the capacity to identify in the mixture which part is biodiesel and which is mineral diesel is very important to control the implementation and the compliance to the local laws. Besides, in some countries, the possibility of producing biodiesel from different vegetable grains creates the necessity to identify the origin of the biodiesel in the mixture because, possibly, different fiscal policies are applied to each production.
Electronic nose has been used to analyze a variety of substances such as wine, olive oil and milk. In this work this equipment was used to determine biodiesel content and origin in commercial mixtures. Artificial Neural Networks were successfully used to correlate olfactive fingerprints obtained by e-nose to biodiesel contents and origin. In this way, time expending analysis can be done in few minutes using affordable equipment.
See the full pdf manuscript of the abstract.
Presented Wednesday 19, 16:45 to 17:00, in session Sustainable & Clean Technologies - IIa: Energy Production (T1-5a).
