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Environmentally Friendly Determination of Quality Parameters of Biodiesel/Diesel Blends Using Fourier Transform Infrared Spectra
Authors:Carla Felippi Chiella Ruschel  Chun Te Huang  Dimitrios Samios  Marco Flôres Ferrão  Carlos Itsuo Yamamoto  Rubia Carla Barato Plocharski
Affiliation:1. 0555133086297;2. , Instituto de Química, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil;3. Instituto Nacional de Ciência e Tecnologia em Bioanalítica (INCT–Bioanalítica), Campinas, SP, Brazil;4. , Laboratório de Análises de Combustíveis Automotivos (LACAUT), Centro Politécnico, Universidade Federal do Paraná, Curitiba, PR, Brazil
Abstract:Multivariate calibration models based on data from mid‐infrared spectroscopy of biodiesel/diesel blends were obtained. The blends were prepared from diesel oil and esters of soybean oil, waste cooking oil, and hydrogenated vegetable oil in proportions ranging from 0 to 100 % biodiesel. The results showed that the multivariate regression models with interval partial least squares (iPLS), backward interval partial least squares (biPLS), and synergy interval partial least squares (siPLS) were able to determine the fractions of the infrared spectrum that contain the relevant information for estimating the values of physicochemical properties, flash point, specific gravity, and cetane number, which are used in quality control of the blends. In the best models, the values of determination coefficients were greater than 0.9500, proving their efficiency as an alternative to traditional analytical methods.
Keywords:Biodiesel  Biobased products  Infrared spectroscopy  Multivariate regression  Chemometrics
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