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Jain V, Ghosh S. Xylitol biosynthesis enhancement by Candida tropicalis via medium, process parameter optimization, and co-substrate supplementation. Prep Biochem Biotechnol 2024; 54:207-217. [PMID: 37184497 DOI: 10.1080/10826068.2023.2209897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
The present study examines the impact of nitrogen sources (yeast extract, ammonium sulfate peptone, ammonium nitrate, urea, and sodium nitrate), salt solution (0.5 g/L MgSO4, 0.5 g/L KH2PO4, 0.3 g/L CaCl2), trace elements solution (0.1 g/L CuSO4, 0.1 g/L FeSO4, 0.02 g/L MnCl2, 0.02 g/L ZnSO4), operational parameters (temperature, aeration, agitation, initial pH and xylose concentration) and co- substrate supplementation (glucose, fructose, maltose, sucrose, and glycerol) on xylitol biosynthesis by Candida tropicalis ATCC 13803 using synthetic xylose. The significant medium components were identified using the Plackett Burman design followed by central composite designs to obtain the optimal concentration for the critical medium components in shaker flasks. Subsequently, the effect of operational parameters was examined using the One Factor At a Time method, followed by the impact of five co-substrates on xylitol biosynthesis in a 1 L bioreactor. The optimal media components and process parameters are as follows: peptone: 12.68 g/L, yeast extract: 6.62 g/L, salt solution (0.5 g/L MgSO4, 0.5 g/L KH2PO4, and 0.3 g/L CaCl2): 1.23 X (0.62 g/L, 0.62 g/L, and 0.37 g/L respectively), temperature: 30 °C, pH: 6, agitation: 400 rpm, aeration: 1 vvm, and xylose: 50 g/L. Optimization studies resulted in xylitol yield and productivity of 0.71 ± 0.004 g/g and 1.48 ± 0.018 g/L/h, respectively. Glycerol supplementation (2 g/L) further improved xylitol yield (0.83 ± 0.009 g/g) and productivity (1.87 ± 0.020 g/L/h) by 1.66 and 3.12 folds, respectively, higher than the unoptimized conditions thus exhibiting the potential of C. tropicalis ATCC 13803 being used for commercial xylitol production.
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Affiliation(s)
- Vasundhara Jain
- Biochemical Engineering Lab, Department of Biosciences and Bioengineering, IIT Roorkee, Roorkee, India
| | - Sanjoy Ghosh
- Biochemical Engineering Lab, Department of Biosciences and Bioengineering, IIT Roorkee, Roorkee, India
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Zhang J, Xu T, Wang X, Jing X, Zhang J, Hong J, Xu J, Wang J. Lignocellulosic xylitol production from corncob using engineered Kluyveromycesmarxianus. Front Bioeng Biotechnol 2022; 10:1029203. [PMID: 36338133 PMCID: PMC9633946 DOI: 10.3389/fbioe.2022.1029203] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 10/07/2022] [Indexed: 11/21/2022] Open
Abstract
Xylitol production from lignocellulose hydrolysate is a sustainable and environment-friendly process. In this study, a systematic process of converting corncob waste into xylitol is described. First, the corncobs are hydrolyzed with acid to a hydrolysate. Second, Kluyveromyces marxianus YZJQ016 derived from K. marxianus YZJ074, constructed by overexpressing ScGAL2-N376F from Saccharomyces cerevisiae, CtXYL1 from Candida tropicalis, and KmZWF1 from K. marxianus, produces xylitol from the hydrolysate. A total of ten xylose reductase genes were evaluated, and CtXYL1 proved best by showing the highest catalytic activity under the control of the KmGAPDH promoter. A 5 L fermenter at 42°C produced 105.22 g/L xylitol using K. marxianus YZJQ016—the highest production reported to date from corncob hydrolysate. Finally, for crystallization of the xylitol, the best conditions were 50% (v/v) methanol as an antisolvent, at 25°C, with purity and yield of 99%–100% and 74%, respectively—the highest yield reported to date.
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Affiliation(s)
- Jia Zhang
- Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China
- Laboratory of Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China
| | - Teng Xu
- Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaohang Wang
- Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China
- Laboratory of Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoyan Jing
- Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China
- Laboratory of Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jia Zhang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China
| | - Jiong Hong
- School of Life Sciences, University of Science and Technology of China, Hefei, China
- Hefei National Laboratory for Physical Science at the Microscale, Hefei, China
| | - Jian Xu
- Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China
- Laboratory of Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jichao Wang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China
- *Correspondence: Jichao Wang,
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Dhayalan A, Thillainathan N, Velramar B, Athiyappagounder P, Sundaramoorthy D, Pachiappan P. Pectinase from a Fish Gut Bacterium, Aeromonas guangheii (SS6): Production, Cloning and Characterization. Protein J 2022; 41:572-590. [PMID: 36208356 DOI: 10.1007/s10930-022-10077-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/20/2022] [Indexed: 11/28/2022]
Abstract
During the present research, 11 gut bacteria were isolated from the freshwater fish, Systomus sarana (General name: olive barb) and upon screening, the strains produced extracellular pectinase enzyme. Among them, the SS6 strain was found to produce a high quantity of 208.731 U/ml pectinase and through molecular characterization the SS6 strain was identified as Aeromonas guangheii. During the culture of SS6 strain, a set of parameters were optimized through the response surface methodology with a Box-Behnken design, for the production of the enzyme. The optimal conditions were found to be 2.11% of maltose, 2.20% of yeast extract, 6.5 of pH, and a temperature of 27.3 °C at 32-h incubation. Under the above conditions, the activity of pectinase production was enhanced to 371 U/ml. The purified pectinase's molecular weight was determined to be ~ 50 kDa (by 10% 2-D PAGE). Totally, nine peptides were identified from the purified pectinase enzyme through the MALDI-TOF-MS analysis and MASCOT tool was used to get the mass spectrum of the peak at 2211 of peptide that indicated the reference pectinase protein. The referenced gene primer (pectate lyases) was PCR amplified and its nucleotide sequence was analyzed. The exo-pelA gene was cloned in pREST vector, which was found to be over expressed in Escherichia coli BL21. The ORF encoded for a mature protein comprising of 425 amino acids (1236 nucleotides) with a predicted molecular weight of ~ 48.7 kDa. The present findings underline the potential of the fish-gut microbes as a source of biotechnologically important enzymes.
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Affiliation(s)
- Arul Dhayalan
- Department of Biotechnology, School of Biosciences, Periyar University, Salem, Tamil Nadu, 636011, India.,SRS of ICAR- National Dairy Research Institute, Adugodi, Bengaluru, Karnataka, 560030, India
| | - Natarajan Thillainathan
- Department of Biotechnology, School of Biosciences, Periyar University, Salem, Tamil Nadu, 636011, India.,Department of Biomedical Engineering, Central University of Rajasthan, Ajmer, Rajasthan, 305817, India
| | - Balasubramanian Velramar
- Department of Biotechnology, School of Biosciences, Periyar University, Salem, Tamil Nadu, 636011, India.,Amity Institute of Biotechnology, Amity University, Raipur, Chhattisgarh, 493225, India
| | - Palanisammi Athiyappagounder
- Veterinary College & Research Institute, Tamil Nadu Veterinary & Animal Science University, Tirunelveli, Tamil Nadu, 627358, India
| | - Dhanasundaram Sundaramoorthy
- Department of Marine Science, School of Marine Sciences, Bharathidasan University, Tiruchirappalli, Tamil Nadu, 620024, India
| | - Perumal Pachiappan
- Department of Biotechnology, School of Biosciences, Periyar University, Salem, Tamil Nadu, 636011, India. .,Department of Marine Science, School of Marine Sciences, Bharathidasan University, Tiruchirappalli, Tamil Nadu, 620024, India.
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Chatterjee S, Venkata Mohan S. Fungal biorefinery for sustainable resource recovery from waste. BIORESOURCE TECHNOLOGY 2022; 345:126443. [PMID: 34852279 DOI: 10.1016/j.biortech.2021.126443] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 11/21/2021] [Accepted: 11/24/2021] [Indexed: 06/13/2023]
Abstract
Depletion of natural resources and negative impact of fossil fuels on environment are becoming a global concern. The concept of biorefinery is one of the alternative platforms for the production of biofuels and chemicals. Valorisation of biological resources through complete utilization of waste, reusing secondary products and generating energy to power the process are the key principles of biorefinery. Agricultural residues and biogenic municipal solid wastes are getting importance as a potential feedstock for the generation of bioproducts. This communication reviews and highlights the scope of yeast and fungi as a potent candidate for the synthesis of gamut of bioproducts in an integrated approach addressing sustainability and circular bioeconomy. It also provides a close view on importance of microbes in biorefinery, feedstock pretreatment strategies for renewable sugar production, cultivation systems and yeast and fungi based products. Integrated closed loop approach towards multiple product generation with zero waste discharge is also discussed.
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Affiliation(s)
- Sulogna Chatterjee
- Bioengineering and Environmental Sciences Lab, Department of Energy and Environmental Engineering, CSIR-Indian Institute of Chemical Technology (CSIR-IICT), Hyderabad, 500007, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - S Venkata Mohan
- Bioengineering and Environmental Sciences Lab, Department of Energy and Environmental Engineering, CSIR-Indian Institute of Chemical Technology (CSIR-IICT), Hyderabad, 500007, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
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Modelling Based Analysis and Optimization of Simultaneous Saccharification and Fermentation for the Production of Lignocellulosic-Based Xylitol. BULLETIN OF CHEMICAL REACTION ENGINEERING & CATALYSIS 2021. [DOI: 10.9767/bcrec.16.4.11807.857-868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Simultaneous saccharification and fermentation (SSF) configuration offers efficient use of the reactor. In this configuration, both hydrolysis and fermentation processes are conducted simultaneously in a single bioreactor, and the overall processes may be accelerated. However, problems may arise if both processes have different optimum conditions, and therefore process optimization is required. This paper presents a mathematical model over SSF strategy implementation for producing xylitol from the hemicellulose component of lignocellulosic materials. The model comprises the hydrolysis of hemicellulose and the fermentation of hydrolysate into xylitol. The model was simulated for various process temperatures, prior hydrolysis time, and inoculum concentration. Simulation of the developed kinetics model shows that the optimum SSF temperature is 36 °C, whereas conducting prior hydrolysis at its optimum hydrolysis temperature will further shorten the processing time and increase the xylitol productivity. On the other hand, increasing the inoculum size will shorten the processing time further. For an initial xylan concentration of 100 g/L, the best condition is obtained by performing 21-hour prior hydrolysis at 60 °C, followed by SSF at 36 °C by adding 2.0 g/L inoculum, giving 46.27 g/L xylitol within 77 hours of total processing time. Copyright © 2021 by Authors, Published by BCREC Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).
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Optimization of Flavonoid Extraction in Dendrobium officinale Leaves and Their Inhibitory Effects on Tyrosinase Activity. Int J Anal Chem 2019; 2019:7849198. [PMID: 31001339 PMCID: PMC6436366 DOI: 10.1155/2019/7849198] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Revised: 02/19/2019] [Accepted: 02/25/2019] [Indexed: 11/30/2022] Open
Abstract
In order to establish the extraction technology of flavonoids from Dendrobium officinale leaves, a method combining Plackett–Burman design (PBD), steepest ascent design, and central composite design was developed to optimize the extraction of flavonoids. In addition, the tyrosinase activity inhibition of flavonoids was further tested in vitro. PBD results showed that ethanol concentration and number of extractions were key factors. Response surface methodology (RSM) indicated that the optimal extraction conditions were 78% ethanol concentration, six extraction times, 2 h, and 1:50 solid-liquid ratio. Under these conditions, the total flavonoid content could reach 35 mg/50 mL. In vitro tyrosinase experiment, the extracted total flavonoids had better inhibitory effect on tyrosinase activity than β-arbutin, and its inhibition rate for monophenolase and diphenolase exceeded 100% and 70%, respectively. These results indicate that RSM can effectively improve the extraction of flavonoids from Dendrobium officinale leaves and the flavonoids have the prospect of being applied to foods and cosmetics.
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Srimongkol P, Thongchul N, Phunpruch S, Karnchanatat A. Optimization of Synechococcus sp. VDW Cultivation with Artificially Prepared Shrimp Wastewater for Ammonium Removal and Its Potential for Use As a Biofuel Feedstock. J Oleo Sci 2019; 68:233-243. [PMID: 30760668 DOI: 10.5650/jos.ess18203] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
To investigate the potential of application of marine cyanobacterium for concurrent biomass production and ammonium removal, Synechococcus sp. VDW was cultured under different conditions in medium containing varying concentrations of NH4Cl. Response surface methodology (RSM) was then used to build a predictive model of the combined effects of independent variables (pH, inoculum size, ammonium concentration). At the optimum conditions of initial pH 7.4, inoculum size 0.17 (OD730) and ammonium concentration 10.5 mg L-1, the maximum ammonium removal and biomass productivity were about 95% and 34 mg L-1d-1, respectively, after seven days of cultivation. The result of fatty acid methyl ester (FAME) analysis showed that the major fatty acids were palmitic acid (C16:0), linoleic acid (C18:2 n6 cis), palmitoleic acid (C16:1) and oleic acid (C18:1 n9 cis), which accounted for more than 80% weight of total fatty acids. Further, analysis of neutral lipid accumulation using flow cytometry revealed that the mean of the fluorescence intensity increased under optimal conditions. These results indicate that Synechococcus sp. VDW has the potential for use for concurrent water treatment and production of biomass that can be applied as biofuel feedstock.
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Affiliation(s)
| | - Nuttha Thongchul
- Institute of Biotechnology and Genetic Engineering, Chulalongkorn University.,Research Unit in Bioconversion/Bioseparation for Value-Added Chemical Production, Institute of Biotechnology and Genetic Engineering, Chulalongkorn University
| | - Saranya Phunpruch
- Department of Biology, Faculty of Science, King Mongkut's Institute of Technology Ladkrabang.,Bioenergy Research Unit, Faculty of Science, King Mongkut's Institute of Technology Ladkrabang
| | - Aphichart Karnchanatat
- Institute of Biotechnology and Genetic Engineering, Chulalongkorn University.,Research Unit in Bioconversion/Bioseparation for Value-Added Chemical Production, Institute of Biotechnology and Genetic Engineering, Chulalongkorn University
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Dinarvand M, Rezaee M, Foroughi M. Optimizing culture conditions for production of intra and extracellular inulinase and invertase from Aspergillus niger ATCC 20611 by response surface methodology (RSM). Braz J Microbiol 2017; 48:427-441. [PMID: 28359854 PMCID: PMC5498407 DOI: 10.1016/j.bjm.2016.10.026] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2016] [Revised: 09/13/2016] [Accepted: 10/16/2016] [Indexed: 10/26/2022] Open
Abstract
The aim of this study was obtain a model that maximizes growth and production of inulinase and invertase by Aspergillus niger ATCC 20611, employing response surface methodology (RSM). The RSM with a five-variable and three-level central composite design (CCD) was employed to optimize the medium composition. Results showed that the experimental data could be appropriately fitted into a second-order polynomial model with a coefficient of determination (R2) more than 0.90 for all responses. This model adequately explained the data variation and represented the actual relationships between the parameters and responses. The pH and temperature value of the cultivation medium were the most significant variables and the effects of inoculum size and agitation speed were slightly lower. The intra-extracellular inulinase, invertase production and biomass content increased 10-32 fold in the optimized medium condition (pH 6.5, temperature 30°C, 6% (v/v), inoculum size and 150rpm agitation speed) by RSM compared with medium optimized through the one-factor-at-a-time method. The process development and intensification for simultaneous production of intra-extracellular inulinase (exo and endo inulinase) and invertase from A. niger could be used for industrial applications.
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Affiliation(s)
- Mojdeh Dinarvand
- The University of Sydney, School of Chemistry, New South Wales, Australia.
| | - Malahat Rezaee
- Islamic Azad University, Falavarjan Branch, Department of Biochemistry, Isfahan, Iran
| | - Majid Foroughi
- Universiti Putra Malaysia, Faculty of Biotechnology and Biomolecular Science, Department of Cell and Molecular Biology, Selangor, Malaysia
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Sampaio FC, de Faria JT, de Lima Silva GD, Gonçalves RM, Pitangui CG, Casazza AA, Arni SA, Converti A. Comparison of Response Surface Methodology and Artificial Neural Network for Modeling Xylose-to-Xylitol Bioconversion. Chem Eng Technol 2016. [DOI: 10.1002/ceat.201600066] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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