Sunflower stalk as a carbon source inductive for fungal xylanase production

Souza, Jaqueline Barroso de; Michelin, Michele; Amâncio, Francisco Lucas Rosa; Brazil, Osiris Ashton Vital; Polizeli, Maria de Lourdes Teixeira de Moraes; Ruzene, Denise Santos; Silva, Daniel P.; Mendonça, Marcelo da Costa; López, Jorge A.

doi:10.1016/j.indcrop.2020.112368

Cited by 21 publications

(9 citation statements)

References 37 publications

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“…Polysaccharides and lignin contents were determined by duplicate using a process based on a standard method [24,28,35]. Approximately 2 g of each sample were quantitatively hydrolyzed in 10 mL of 72% (w/w) sulfuric acid (ITW Reagents) for 7 min at 60 • C. The mixture was diluted with 250 mL of distilled water and autoclaved for 45 min at 121 • C and 1.11 atm pressure.…”

Section: Characterization Of Cs and Sfs Fibers 231 Chemical Compositionmentioning

confidence: 99%

Characterization of Cellulosic Pulps Isolated from Two Widespread Agricultural Wastes: Cotton and Sunflower Stalks

La Rubia,

Jurado-Contreras,

Navas-Martos

et al. 2024

Polymers

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Globally, huge amounts of cotton and sunflower stalks are generated annually. These wastes are being underutilized since they are mostly burned in the fields. So, in this work, we proposed a three-step method consisting of acid pre-treatment, alkaline hydrolysis, and bleaching for the extraction of cellulose pulps. These pulps were characterized to assess their morpho-structural and thermal properties. The design of experiments and response surface methodology were used for the optimization of the acid pre-treatment in order to achieve maximum removal of non-cellulosic compounds and obtain pulps enriched in cellulose. For cotton stalks, optimal conditions were identified as a reaction time of 190 min, a reaction temperature of 96.2 °C, and an acid (nitric acid) concentration of 6.3%. For sunflower stalks, the optimized time, temperature, and acid concentration were 130 min, 73.8 °C, and 8.7%, respectively. The pulps obtained after bleaching contained more than 90% cellulose. However, special care must be taken during the process, especially in the acid pre-treatment, as it causes the solubilization of a great amount of material. The characterization revealed that the extraction process led to cellulose pulps with around 69–70% crystallinity and thermal stability in the range of 340–350 °C, ready to be used for their conversion into derivatives for industrial applications.

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Section: Characterization Of Cs and Sfs Fibers 231 Chemical Compositionmentioning

confidence: 99%

Characterization of Cellulosic Pulps Isolated from Two Widespread Agricultural Wastes: Cotton and Sunflower Stalks

La Rubia,

Jurado-Contreras,

Navas-Martos

et al. 2024

Polymers

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“…Enzymes are preferred as the catalysts for many industrial applications, as chemical catalysts typically require extreme temperatures and pressure and these often have a negative impact on the environment [ 1 ]. Enzymes have recently gained attention for the breakdown of plant biomass into fermentable sugars for the production of products such as biofuels, animal feeds and chemicals [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Screening and Isolation of Xylanolytic Filamentous Fungi from the Gut of Scarabaeidae Dung Beetles and Dung Beetle Larvae

Makulana,

La Grange,

Moganedi

et al. 2024

Microorganisms

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Research on renewable biotechnology for renewable biofuel applications has reached new heights. This is highlighted by extensive biomining for novel enzymes to reduce the production costs from animal and insect gut microbiomes. This study explored the diversity and composition of hemicellulolytic fungi in the gut microbiota from dung beetles of the family Scarabaeidae (Pachylomerus femoralis, Anachalcos convexus and Euoniticellus intermedius). Two hundred and twenty-two filamentous fungi were isolated, purified and identified using rDNA sequencing of the ITS and D1/D2 regions. The fungal isolates were assigned to 12 genera and 25 species. Fungi associated with the genus Aspergillus was in abundance, with Hypocrea lixii predominantly isolated. Isolates that produced more than 3 U/mL of xylanase activity were evaluated further. The highest xylanase activity was of 23.6 and 23.5 U/mL for L1XYL9 (E. intermedius larvae) and Hypocrea lixii AB2A3 (A. convexus), respectively. Phylogeny of the fungal strains with xylanolytic activity was analysed using ITS rDNA sequences and revealed close genetic relatedness between isolates from the different dung beetle species. Fungal genera commonly found in the gut of both adult beetles and larvae included Aspergillus, Hypocrea, Talaromyces and Penicillium. The results obtained in this study suggest that the gut of Scarabaeidae dung beetles in South Africa is a rich source of xylanolytic fungi.

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“…[4][5][6] Many researchers have used it in their studies to produce enzymes such as inulinases, [4][5][6][7][8][9][10][11][12] βmannanases and mannooligosaccharides, [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27] protease, 28 lipase, 29 polygalacturonase, 30 amylase, 31 cellulase, 32 and xylanase. 33 Regarding mathematical modeling, the estimation of the observed values of the fermentations regarding inulinase production has been made. 4,6,10,12 The modeling has recently become an important tool to promote the production of fermentative products and to optimize the fermentation process by ensuring easy adaptation to the industrial sector.…”

Section: Introductionmentioning

confidence: 99%

“…is in the status of Generally Recognized as Safe, its products are also widely used in the food, cosmetics, pharmaceutical, medical, and biofuel industries 4–6 . Many researchers have used it in their studies to produce enzymes such as inulinases, 4–12 β‐mannanases and mannooligosaccharides, 13–27 protease, 28 lipase, 29 polygalacturonase, 30 amylase, 31 cellulase, 32 and xylanase 33 …”

Section: Introductionmentioning

confidence: 99%

Predictive modeling and sensitivity analysis to estimate the experimental data of inulinase fermentation by Aspergillus niger grown on sugar beet molasses‐based medium optimized using Plackett–Burman Design

Germeç

Turhan

2021

Biotech and App Biochem

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The present work aimed to model Aspergillus niger inulinase fermentation performed in the medium using sigmoidal functions, validate the selected models using an independent set of the experimental values, and perform a sensitivity analysis of the selected models. Based on the results, the selected models were Stannard and Fitzhugh models for substrate consumption (R 2 = 0.9976 and 0.9974, respectively), Huang model for inulinase production (R 2 = 0.9967), Weibull model for invertase-type production (R 2 = 0.9963), and modified logistic model for invertase-type activity/inulinase activity ratio (R 2 = 0.9292) with high R 2 values (>0.90). Kinetics predicted by particularly selected models mentioned above fit well with the experimental kinetic results. Besides, validation of the selected models with an independent set of the experimental data indicated that they gave satisfying results with high R 2 values for consumption and production (R 2 > 0.90). Sensitivity analysis of the selected models showed that the yielded R 2 values (R 2 ≥ 0.9775) were in good agreement with those obtained from the selected models. Consequently, A. niger inulinase fermentation was successfully modeled and the selected models were successfully validated with an independent set of the observed data. Besides, the sensitivity analysis also verified the Abbreviations: Bx, Brix; A F , accuracy factor; AIC, Akaike information criterion; AM, Asymmetric model; A m , maximum asymptote; A t , the values estimated at the time "d"; ATCC, American Type Culture Collection; B F , bias factor; BM, Baranyi model; B t and H t , transition functions; CM, Cone model; d, unitless design parameter; e, Euler's number; ED, Endpoint Deviation; FM, Fitzhugh Model; HM, Huang model; h O , parameter that calculates the initial physiological state of production and consumption; IAD, integral absolute deviation; ID, integral deviation; k, parameter that governs the rate at which the response variable approaches its potential maximum value; m, slope; MAE, mean-absolute-error; MGM, modified Gompertz model; MLM, modified logistic model; MMFM, Morgan-Mercer-Flodin model; MPF t , mean area of the substrate consumption and product formation at time t to t + 1; MRM, modified Richards model; MSD, mean standard deviation; PBD, Plackett-Burman Design; P inulinase , inulinase activity; P invertase-type , invertase-type activity; Q, maximum production rate or substrate consumption rate; Q inulinase , maximum inulinase production rate; Q invertase-tip , maximum invertase-type production rate; Q sugar , maximum sugar consumption rate; R 2 , determination coefficient; RMSE, root-mean-square-error; RSS, residual sum of square; S/I ratio, invertase-type activity/Inulinase activity; SM, Stannard model; S max , maximum substrate concentration; S min , minimum substrate concentration; t, sampling time; T L , point where A t = A m /2; v, unitless shape parameter; WM, Weibull model; α, delay phase transition coefficient; β, value to shift consumption and production; δ, allometric constant...

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Sunflower stalk as a carbon source inductive for fungal xylanase production

Cited by 21 publications

References 37 publications

Characterization of Cellulosic Pulps Isolated from Two Widespread Agricultural Wastes: Cotton and Sunflower Stalks

Characterization of Cellulosic Pulps Isolated from Two Widespread Agricultural Wastes: Cotton and Sunflower Stalks

Screening and Isolation of Xylanolytic Filamentous Fungi from the Gut of Scarabaeidae Dung Beetles and Dung Beetle Larvae

Predictive modeling and sensitivity analysis to estimate the experimental data of inulinase fermentation by Aspergillus niger grown on sugar beet molasses‐based medium optimized using Plackett–Burman Design

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