Applications of an electronic nose in the prediction of oxidative stability of stored biodiesel derived from soybean and waste cooking oil (2021)
- Authors:
- USP affiliated authors: SIQUEIRA, ADRIANO FRANCISCO - EEL ; GIORDANI, DOMINGOS SAVIO - EEL ; SILVA, MARIA LÚCIA CAETANO PINTO DA - EEL ; FERREIRA, ANA LUCIA GABAS - EEL ; MELO, MARIANA PEREIRA DE - IME ; VIDIGAL, IGOR GOMES - EEL
- Unidades: EEL; IME
- DOI: 10.1016/j.fuel.2020.119024
- Assunto: ENGENHARIA QUÍMICA
- Keywords: Waste cooking oil; Oxidative stability; Induction time; Storage conditions; Electronic nose; Predictive model
- Agências de fomento:
- Language: Inglês
- Abstract: 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.
- Imprenta:
- Source:
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- Cor do Acesso Aberto: green
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ABNT
VIDIGAL, Igor Gomes et al. Applications of an electronic nose in the prediction of oxidative stability of stored biodiesel derived from soybean and waste cooking oil. Fuel, v. 284, n. art. 119024, p. 1-9, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.fuel.2020.119024. Acesso em: 04 ago. 2025. -
APA
Vidigal, I. G., Siqueira, A. F., Melo, M. P. de, Giordani, D. S., Silva, M. L. C. P. da, Cavalcanti, E. H. S., & Ferreira, A. L. G. (2021). Applications of an electronic nose in the prediction of oxidative stability of stored biodiesel derived from soybean and waste cooking oil. Fuel, 284( art. 119024), 1-9. doi:10.1016/j.fuel.2020.119024 -
NLM
Vidigal IG, Siqueira AF, Melo MP de, Giordani DS, Silva MLCP da, Cavalcanti EHS, Ferreira ALG. Applications of an electronic nose in the prediction of oxidative stability of stored biodiesel derived from soybean and waste cooking oil [Internet]. Fuel. 2021 ;284( art. 119024): 1-9.[citado 2025 ago. 04 ] Available from: https://doi.org/10.1016/j.fuel.2020.119024 -
Vancouver
Vidigal IG, Siqueira AF, Melo MP de, Giordani DS, Silva MLCP da, Cavalcanti EHS, Ferreira ALG. Applications of an electronic nose in the prediction of oxidative stability of stored biodiesel derived from soybean and waste cooking oil [Internet]. Fuel. 2021 ;284( art. 119024): 1-9.[citado 2025 ago. 04 ] Available from: https://doi.org/10.1016/j.fuel.2020.119024 - Assessing Waste Cooking Oils for the Production of Quality Biodiesel Using an Electronic Nose and a Stochastic Model
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Informações sobre o DOI: 10.1016/j.fuel.2020.119024 (Fonte: oaDOI API)
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