Application of Multivariate Analysis in Mid-Infrared Spectroscopy as a Tool for the Evaluation of Waste Frying Oil Blends |
| |
Authors: | Luciano Hocevar Vitória R B Soares Fábio S Oliveira Maria Graças A Korn Leonardo S G Teixeira |
| |
Affiliation: | 1.Escola Politécnica,Universidade Federal da Bahia,Salvador, Bahia,Brazil;2.Instituto de Química,Universidade Federal da Bahia, Campus Universitário de Ondina,Salvador, Bahia,Brazil;3.Instituto Federal de Educa??o, Ciência e Tecnologia Baiano,Santa Inês, Bahia,Brazil;4.Centro de Ciências da Saúde,Universidade Federal do Rec?ncavo da Bahia,Santo Ant?nio de Jesus, Bahia,Brazil;5.INCT de Energia e Ambiente, Universidade Federal da Bahia,Salvador, Bahia,Brazil |
| |
Abstract: | Mid-infrared spectroscopy, in association with multivariate chemometric techniques, was employed for pattern recognition and
the determination of the composition of waste frying oils (WFO); data are presented in terms of the percentage of soybean
oil, palm oil and hydrogenated vegetable fat in frying oil blends. Principal component analysis (PCA) was performed using
spectral data (3,000–600 cm−1) to discriminate between the samples containing 100% soybean oil, 100% palm oil, 100% hydrogenated vegetable fat groups and
their blends. Additionally, the results indicated that partial least squares (PLS) models based on mid-infrared spectra were
suitable as practical analytical methods for predicting the oil contents in WFO blends. PLS models were validated by a representative
prediction set, and the root mean square errors of prediction (RMSEP) were 2.8, 4.7 and 5.5% for palm oil, soybean oil and
hydrogenated vegetable fat, respectively. The proposed methodology can be very useful for the rapid and low cost determination
of waste frying oil composition while also aiding in decisions regarding the management of oil pretreatment and production
routes for biodiesel production. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|