Banca de DEFESA: GEAN BEZERRA COSTA

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : GEAN BEZERRA COSTA
DATE: 31/07/2023
TIME: 14:30
LOCAL: Online
TITLE:

Monitoramento da qualidade de misturas de biodiesel/diesel empregando análises multivariadas de fingerprints espectroscópicos no infravermelho próximo

KEY WORDS:

Biofuels; Vibrational spectroscopy; Chemometrics.

PAGES: 91
BIG AREA: Engenharias
AREA: Engenharia Química
SUMMARY:

Biodiesel and ethanol are the most widely produced biocombustibles on an industrial scale due to their economic viability, as well as being important alternatives to conventional fossil fuels, providing a more ecological and sustainable perspective. In this study, near-infrared spectroscopy (NIR) combined with chemometric tools was used for monitoring the quality of biodiesel/diesel blends in terms of (i) simultaneous classification of synthesis route and biodiesel feedstock, (ii) authentication of second-generation biodiesel, and (iii) quantification of biodiesel content. Data-Driven Soft Independent Modeling of Class Analogy (DD-SIMCA) achieved 100% sensitivity and specificity in the test set for the authentication of ethyl biodiesel/diesel blends, while Partial Least Squares Discriminant Analysis coupled with interval selection by the Successive Projections Algorithm (iSPA-PLS-DA) correctly discriminated all ethyl biodiesel/diesel blends containing cottonseed, sunflower, and soybean biodiesel. Additionally, only one misclassification was obtained when ethyl and methyl biodiesel/diesel blends of the same three oil feedstocks were included in the model. For the latter two applications, two spectral regions (881-1651 nm and 1911-2203 nm) were investigated to avoid sample dilution with organic solvents. As a result, the first derivative of Savitzky-Golay with a second-order polynomial and a 15-point window was the most promising preprocessing technique when applied to the 1911-2203 nm spectral range, with efficiencies of 97% and 99% for the authentication of jatropha and beef tallow biodiesel/diesel blends, respectively, using One-Class Partial Least Squares (OC-PLS) as a classifier, and a relative prediction error (REP) of only 2.85% for the quantification of biodiesel content in biodiesel/diesel blends. As advantages, the proposed analytical strategies contribute notably to United Nations Sustainable Development Goal (SDG) No. 7 (affordable and clean energy), as well as aligns with the principles of Green Analytical Chemistry.

COMMITTEE MEMBERS:
Presidente - 2140818 - AMANDA DUARTE GONDIM
Externa ao Programa - 2275848 - ELISAMA VIEIRA DOS SANTOS - UFRNExterna à Instituição - EDILENE DANTAS TELES MOREIRA - UFPB
Externa à Instituição - WELMA THAÍSE SILVA VILAR - UFRN
Externa à Instituição - EMILY CINTIA TOSSI DE ARAÚJO COSTA - UFRN
Externo à Instituição - PAULO HENRIQUE GONÇALVES DIAS DINIZ - UFOB