Abstract:The changes occurring during the depolymerization of lignocellulosic biomasses are not yet fully understood. Synchrotron micro-Fourier transform infrared (m-FTIR), Raman spectroscopy (RS), X-ray diffraction (XRD), and X-ray fluorescence (XRF) were applied for better characterization of wheat straw fibers during a continuous pretreatment process in terms of conditioning (C), extrusion (E), steam explosion (SE), and enzymatic hydrolysis (EH). m-FTIR revealed functional groups as phenylpropanoid polymers, ethers,… Show more
“…Bands at 1592 cm -1 were indicative of the C=C stretching of the aromatic ring (NagarajaGanesh and Muralikannan 2016). Those at 1454 cm -1 could be attributed to C-H deformation stretching in either lignin or xylan molecules, the main component of hemicelluloses (Chen et al 2018;Molina-Guerrero et al 2018). At 1372 cm -1 , bands indicated C-H bending (Seki et al 2013), and at 1157 cm -1 bands corresponded to C-O-C ring vibrational stretching (Kesraoui et al 2016).…”
Section: Ftir Spectroscopymentioning
confidence: 98%
“…The O-H stretching vibrations for cellulose, hemicellulose, and lignin can be assigned at 3335 cm -1 (Chen et al 2017), while the peak at 2900 cm -1 corresponds to C-H stretching vibrations in both cellulose and hemicellulose (Fiore et al 2014;Chen et al 2017). The absorbance peaks at 1415 and 1033 cm -1 are attributed to O-H in-plane bending vibrations and C-O stretching vibrations, respectively (NagarajaGanesh and Muralikannan 2016; Molina-Guerrero et al 2018). The band at 895 cm -1 features the characteristic β-glycosidic linkage between anhydroglucose units (Oh et al 2005;Molina-Guerrero et al 2018).…”
Section: Ftir Spectroscopymentioning
confidence: 99%
“…The absorbance peaks at 1415 and 1033 cm -1 are attributed to O-H in-plane bending vibrations and C-O stretching vibrations, respectively (NagarajaGanesh and Muralikannan 2016; Molina-Guerrero et al 2018). The band at 895 cm -1 features the characteristic β-glycosidic linkage between anhydroglucose units (Oh et al 2005;Molina-Guerrero et al 2018). Lignin in fibers can be correlated with different bands.…”
Luffa fibers were evaluated as a reinforcement material in poly-hydroxy-butyrate matrix composites. The treatments consisted of varying the incorporation percentage of mercerized and non-mercerized luffa fibers in a poly-hydroxybutyrate (PHB) matrix (5%, 10%, and 20% w/v). Composites made with PHB and reinforced with luffa fibers (treated and non-treated) were mechanically evaluated (tensile strength, Young’s modulus, and percentage of elongation at break), the surface morphology was described by using scanning electronic microscopy, and the degradability behavior of composites was obtained. According to the results, mechanical properties decreased when the percentage of fibers increased and no significant effects were observed when compared with mercerized fiber composites. Degradability tests demonstrated that the weight loss increased with increased fiber content in composites, independent of the applied pretreatments. Microscopy images exhibited that mercerization improved the fiber incorporation into the polymeric matrix, diminishing the “pull out” effect; the above-mentioned result was supported by using the Fourier-transform infrared spectroscopy technique, observing the reduction of lignin and hemicellulose peaks in mercerized fibers. Based on the composite mechanical performance and degradability behavior, it was concluded that this material could be used in the packaging sector as biodegradable secondary packaging material.
“…Bands at 1592 cm -1 were indicative of the C=C stretching of the aromatic ring (NagarajaGanesh and Muralikannan 2016). Those at 1454 cm -1 could be attributed to C-H deformation stretching in either lignin or xylan molecules, the main component of hemicelluloses (Chen et al 2018;Molina-Guerrero et al 2018). At 1372 cm -1 , bands indicated C-H bending (Seki et al 2013), and at 1157 cm -1 bands corresponded to C-O-C ring vibrational stretching (Kesraoui et al 2016).…”
Section: Ftir Spectroscopymentioning
confidence: 98%
“…The O-H stretching vibrations for cellulose, hemicellulose, and lignin can be assigned at 3335 cm -1 (Chen et al 2017), while the peak at 2900 cm -1 corresponds to C-H stretching vibrations in both cellulose and hemicellulose (Fiore et al 2014;Chen et al 2017). The absorbance peaks at 1415 and 1033 cm -1 are attributed to O-H in-plane bending vibrations and C-O stretching vibrations, respectively (NagarajaGanesh and Muralikannan 2016; Molina-Guerrero et al 2018). The band at 895 cm -1 features the characteristic β-glycosidic linkage between anhydroglucose units (Oh et al 2005;Molina-Guerrero et al 2018).…”
Section: Ftir Spectroscopymentioning
confidence: 99%
“…The absorbance peaks at 1415 and 1033 cm -1 are attributed to O-H in-plane bending vibrations and C-O stretching vibrations, respectively (NagarajaGanesh and Muralikannan 2016; Molina-Guerrero et al 2018). The band at 895 cm -1 features the characteristic β-glycosidic linkage between anhydroglucose units (Oh et al 2005;Molina-Guerrero et al 2018). Lignin in fibers can be correlated with different bands.…”
Luffa fibers were evaluated as a reinforcement material in poly-hydroxy-butyrate matrix composites. The treatments consisted of varying the incorporation percentage of mercerized and non-mercerized luffa fibers in a poly-hydroxybutyrate (PHB) matrix (5%, 10%, and 20% w/v). Composites made with PHB and reinforced with luffa fibers (treated and non-treated) were mechanically evaluated (tensile strength, Young’s modulus, and percentage of elongation at break), the surface morphology was described by using scanning electronic microscopy, and the degradability behavior of composites was obtained. According to the results, mechanical properties decreased when the percentage of fibers increased and no significant effects were observed when compared with mercerized fiber composites. Degradability tests demonstrated that the weight loss increased with increased fiber content in composites, independent of the applied pretreatments. Microscopy images exhibited that mercerization improved the fiber incorporation into the polymeric matrix, diminishing the “pull out” effect; the above-mentioned result was supported by using the Fourier-transform infrared spectroscopy technique, observing the reduction of lignin and hemicellulose peaks in mercerized fibers. Based on the composite mechanical performance and degradability behavior, it was concluded that this material could be used in the packaging sector as biodegradable secondary packaging material.
“…of carboxylic acid) for the regenerated material suggests the oxidation of the hydroxyl groups of the components of native wheat straw. 44,45 Other bands between 1634 and 1600 cm −1 , which correspond to the aromatic skeletal vibrations of lignin, 46 shift to 1591 cm −1 in the regenerated material. Such a shift along with the high intensity of the band supports CvC to be a major group in the oxidized graphitic material.…”
Section: Characterization Of the Regenerated Materials And Dissolutio...mentioning
Relatively greener methods for the direct and single-step conversion of abundantly available biomass into oxidized graphitic material should be developed for promoting the utilization of such materials in different applications....
“…Vegetal biomass (VB) is an alternative for biofuel production. VB is mainly composed of cellulose, hemicellulose, and lignin and can be transformed into different products through four fundamental stages: (i) conditioning, (ii) depolymerization or enzymatic hydrolysis, (iii) fermentation, and (iv) the downstream process [1,2]. In this context, the depolymerization stage is the most expensive, and predicting the reaction behavior is essential to achieve a higher reaction yield.…”
A computational methodology based on inverse modeling and metaheuristics is presented for determining the best parameters of kinetic models aimed to predict the behavior of biomass depolymerization processes during size scaling up. The Univariate Marginal Distribution algorithm, particle swarm optimization, and Interior-Point algorithm were applied to obtain the values of the kinetic parameters (KM and Vmax) of four mathematical models based on the Michaelis–Menten equation: (i) Traditional Michaelis–Menten, (ii) non-competitive inhibition, (iii) competitive inhibition, and (iv) substrate inhibition. The kinetic data were obtained from our own experimentation in micro-scale. The parameters obtained from an optimized micro-scale experiment were compared with a bench scale experiment (0.5 L). Regarding the metaheuristic optimizers, it is concluded that the Interior-Point algorithm is effective in solving inverse modeling problems and has the best prediction power. According to the results, the Traditional model adequately describes the micro-scale experiments. It was found that the Traditional model with optimized parameters was able to predict the behavior of the depolymerization process during size scaling up. The methodology followed in this study can be adopted as a starting point for the solution of future inverse modeling problems.
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