Comprehensive near infrared study of Jatropha oil esterification with ethanol for biodiesel production

Oliveira, Alianda Dantas de; Sá, Ananda Franco de; Pimentel, Maria Fernanda; Pacheco, José Geraldo A.; Pereira, Claudete Fernandes; Larrechi, M. Soledad

doi:10.1016/j.saa.2016.07.006

Cited by 12 publications

(5 citation statements)

References 10 publications

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“…However, it has a fatal disadvantage in that it destroys the integrity of fruits. Fortunately, it was demonstrated in a number of studies that near-infrared (NIR) spectral technology is a non-destructive and easy-to-use detection technology that can be used in food [5], chemical [6], and medical [7] industries. From the perspective of principle analysis, NIR spectroscopy is a type of high-energy vibrational spectroscopy and the NIR electromagnetic radiation is invisible to the naked eye [8].…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Non-Destructive Prediction Model of Soluble Solids Content for Malus micromalus Makino Based on Near-Infrared Spectroscopy

Gao

Wang

Guo³

et al. 2019

IEEE Access

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To investigate the feasibility of using near-infrared (NIR) spectral technology to detect the soluble solids content (SSC) of Malus micromalus Makino, rapid and non-destructive prediction models of SSC were studied using least-square support vector regression (LS-SVR), partial least squares regression (PLSR), and the error back propagation artificial neural network (BP-ANN). First, 110 samples of NIR diffuse reflectance spectra in the wavelength range of 400.41-1083.89 nm were obtained, and then were divided into the calibration set and prediction set by sample set partitioning based on the joint x-y distance (SPXY) algorithm. Second, we compared the prediction performance of the PLSR model after preprocessing by nine spectral preprocessing methods, and applied data dimension reduction methods (random frog, the successive projections algorithm (SPA), and principal component analysis) for variable selection. Finally, the effect of applying full spectrum and characteristic spectrum modeling on SSC prediction accuracy was compared and analyzed. The comparison studies confirmed that the optimal fusion model of SPA-LS-SVR had the best performance (R C = 0.9629, R P = 0.9029, RMSEC = 0.199, RMSEP = 0.271). The experimental results could provide a reference for future development of the internal component analysis system for Malus micromalus Makino based on NIR spectroscopy and its classification system using SSC as the classification standard. INDEX TERMS Least-square support vector regression, Malus micromalus Makino, near-infrared spectroscopy, soluble solids content, successive projection algorithm. The associate editor coordinating the review of this manuscript and approving it for publication was Geng-Ming Jiang. more popular with the local people. It is a good raw material for fruit processing and is rich in soluble solids content (SSC), acids, and calcium. It has been processed into brandy, beverages, pastries, and other products. In recent years, due to its high nutritional and economic value, it has been widely promoted by the local government as a special agricultural product of Fugu Valley to be shipped to all parts of the country and across the world.

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Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Non-Destructive Prediction Model of Soluble Solids Content for Malus micromalus Makino Based on Near-Infrared Spectroscopy

Gao

Wang

Guo³

et al. 2019

IEEE Access

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“…Os catalisadores básicos homogêneos dependem da qualidade do óleo utilizado, devendo a porcentagem de ácidos graxos livres ser bem pequena, em torno de 0,5%, pois pode favorecer a reação de saponificação, diminuindo o rendimento do biodiesel. 5 Os catalisadores homogêneos ácidos trazem o problema da corrosão dos equipamentos, diminuindo a vida útil dos mesmos. 6,7 Já os catalisadores heterogêneos, embora necessitem de condições mais severas de reação, podem ser reutilizados, são mais fáceis de trabalhar, pois com uma simples filtração é possível retirá-lo do meio reacional e não geram água residual do processo de lavagem do biodiesel.…”

Section: Introductionunclassified

Production, Characterization and Use of Sulfonated Polystyrene and Polysulfone Membranes as Catalysts in the Esterification Reaction of Oleic Acid

Lima

Tirone²,

Batista³

et al. 2018

Rev. Virtual Quim.

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Biodiesel is a renewable and non-toxic biofuel that can be produced by the esterification reaction. In this reaction, acid catalysts are used and, due to the numerous advantages, heterogeneous catalysts are gaining space. Polysulfone (PSF) and sulfonated polystyrene (PSS) membranes were prepared to catalyze the esterification reaction of oleic acid with methanol, producing biodiesel. Several morphological types of membranes were obtained: dense, porous and electrospun. The reaction conditions were: temperature of 100 °C, molar ratio of 10:1 (methanol:oleic acid), 5% catalyst and time of 2 hours. By means of the BET and BJH methods it was possible to obtain the surface area of the membranes, volume and pore size. The consumption of oleic acid and the formation of the ester were confirmed by the analyzes of CGMS and the FTIR bands, respectively. For the membranes that presented the PSS, 2 hours of reaction were enough for almost total consumption of oleic acid, except for the dense membrane.

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“…There are several methods to synthesize this ester. The most usually described, according to the literature [4] is the esterification reaction catalyzed by an inorganic acid, generally, sulfuric acid. Although it presents a satisfactory conversion [4,5] the separation between the products and the catalyst is difficult, since it is a homogeneous catalyst.…”

Section: Introductionmentioning

confidence: 99%

“…The most usually described, according to the literature [4] is the esterification reaction catalyzed by an inorganic acid, generally, sulfuric acid. Although it presents a satisfactory conversion [4,5] the separation between the products and the catalyst is difficult, since it is a homogeneous catalyst. Furthermore, it leads to a huge problem from the environmental point of view: the generated residues from the catalyst washing process are extremely toxic for the environment.…”

Section: Introductionmentioning

confidence: 99%

A Preliminary Investigation Concerning Metal Oxides as Catalysts for Esterification of Lauric Acid with Isopropanol

Krause¹,

Maruyama²

2018

ChChT

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This paper reports the synthesis of isopropyl laurate while using a mixture of metal oxides as a catalyst. The best conversion value was obtained in the following conditions: 393 K, isopropanol:lauric acid molar ratio is 10:1, composition of the catalyst is 33 % CuO, 33 % Ag 2 O and 33 % Al 2 O 3 , catalyst/lauric acid ratio is 8 % (w/w), and reaction time 2 h. Isolation of the catalysts after esterification showed that the oxides were not converted into other materials.

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Comprehensive near infrared study of Jatropha oil esterification with ethanol for biodiesel production

Cited by 12 publications

References 10 publications

Comparative Analysis of Non-Destructive Prediction Model of Soluble Solids Content for Malus micromalus Makino Based on Near-Infrared Spectroscopy

Comparative Analysis of Non-Destructive Prediction Model of Soluble Solids Content for Malus micromalus Makino Based on Near-Infrared Spectroscopy

Production, Characterization and Use of Sulfonated Polystyrene and Polysulfone Membranes as Catalysts in the Esterification Reaction of Oleic Acid

A Preliminary Investigation Concerning Metal Oxides as Catalysts for Esterification of Lauric Acid with Isopropanol

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