@article { ISI:000231841800033, title = {Optimization and scale up of production of alkaline protease from Conidiobolus coronatus}, journal = {Process Biochemistry}, volume = {40}, number = {9}, year = {2005}, month = {SEP}, pages = {3152-3158}, publisher = {ELSEVIER SCI LTD}, type = {Article}, address = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}, abstract = {

Alkaline protease secreted by Conidiobolus coronatus has been evaluated extensively in tanneries and finds application in pre-tanning operations in leather manufacture. It is important to produce the enzyme in inexpensive and optimized media on large scale for the process to be commercially viable. The present paper describes optimization of fermentation conditions in shake flasks and scale up of production to 100 L in fermentors. The production is complete in 2-3 days comparable to bacterial fermentations. The organism utilized several carbon sources such as starch, sucrose, lactose, glucose and fructose for production. Soyabean meal at an optimum concentration of 2-3\% was found to be best inducer. Diammonium hydrogen phosphate, casamino acids and Hi-media peptone gave activities comparable to yeast extract. Preservation and stabilization studies showed that glycerol conferred considerable stabilization at room temperature while ammonium sulphate precipitated enzyme at 0.9 saturation was best with stability up to 2 years even at room temperature. (c) 2005 Elsevier Ltd. All rights reserved.

}, keywords = {Alkaline Protease, Conidiobolus, Fermentation, Optimization, scale up}, issn = {1359-5113}, doi = {10.1016/j.procbio.2005.04.005}, author = {Laxman, Ryali Seeta and Sonawane, A. P. and More, Shivaji V. and Rao, B. S. and Rele, M. V. and Jogdand, Vitthal V. and Deshpande, V. V. and Rao, M. B.} } @article { ISI:000231744300010, title = {Regression models using pattern search assisted least square support vector machines}, journal = {Chemical Engineering Research and Design}, volume = {83}, number = {A8}, year = {2005}, month = {AUG}, pages = {1030-1037}, publisher = {INST CHEMICAL ENGINEERS}, type = {Article}, address = {165-189 RAILWAY TERRACE, DAVIS BLDG, RUGBY CV21 3HQ, ENGLAND}, abstract = {

Least Square Support Vector Machines (LS-SVM), a new machine-learning tool has been employed for developing data driven models of non-linear processes. The method is firmly rooted in the statistical learning theory and transforms the input data to a higher dimensional feature space where the use of appropriate kernel functions avoid computational difficulty. Further, a pattern search algorithm, which explores multiple directions and utilizes coordinate search with fixed step size, is employed for selecting optimal LS-SVM model that produces a minimum possible prediction error. To show the efficacy and efficiency of the fully automated pattern search assisted LS-SVM methodology, we have tested it on several benchmark examples. The study suggests that proposed paradigm can be a useful and viable tool in building data driven models of non-linear processes.

}, keywords = {equality constraints, LS-SVM, model selection, Optimization, pattern search}, issn = {0263-8762}, doi = {10.1205/cherd.03144}, author = {Patil, N. S. and Shelokar, P. S. and Jayaraman, Valadi K. and Kulkarni, B. D.} } @article { ISI:000239878700022, title = {Optimization of anaerobically digested distillery molasses spent wash decolorization using soil as inoculum in the absence of additional carbon and nitrogen source}, journal = {Bioresource Technology}, volume = {97}, number = {16}, year = {2006}, month = {NOV}, pages = {2131-2135}, publisher = {ELSEVIER SCI LTD}, type = {Article}, address = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}, abstract = {

The aim of this study was to achieve maximum decolorization of molasses spent wash (MSW) in absence of any additional carbon or nitrogen source using soil as inoculum. Soil samples were collected from the MSW disposal site. Colored soil samples exhibited higher pH, sugar and protein as compare to less colored samples. A decolorization of 69\% was obtained using 10\% (w/v) soil and 12.5\% (v/v) MSW after 7 days incubation. Optimized parameters including days-6 days, pH-6, MSW-12.5\% and soil concentration-40\%, were obtained for maximum decolorization. A decolorization of 81\% was achieved using 10\% soil and 12.5\% MSW after 18 days incubation in absence of any media supplement. Nearly 12\% reduction in decolorization activity of the soil sample was observed over a period of 12 months when stored at 6 degrees C. It could be concluded that the decolorization of MSW might be achieved using soil as inoculum without addition of chemical amendments. (c) 2005 Elsevier Ltd. All rights reserved.

}, keywords = {Decolorization, melanoidin, molasses spent wash (MSW), Optimization, soil}, issn = {0960-8524}, doi = {10.1016/j.biortech.2005.10.011}, author = {Adikane, H. V. and Dange, M. N. and Selvakumari, K.} } @article { ISI:000257228100019, title = {Optimal xylanase production using Penicilium janthinellum NCIM 1169: a model based approach}, journal = {Biochemical Engineering Journal}, volume = {40}, number = {2}, year = {2008}, month = {JUN}, pages = {348-356}, publisher = {ELSEVIER SCIENCE SA}, address = {PO BOX 564, 1001 LAUSANNE, SWITZERLAND}, abstract = {

Xylanases are an industrially important class of hydrolytic enzymes that degrade xylans. Production of xylanase from a fungal culture by submerged fermentation and optimization of the operating conditions for maximum activity are the two aims of the present study. Penicillium janthinellum NCIM 1169 with Mandels-Weber medium, sugarcane bagassse (40\#) as a carbon source and beef extract as a nitrogen source were used in the experiments. We did 41 experiments to see the effect of variations in carbon, nitrogen source, pH, and inoculum on xylanase activity. This data was then used to build an input/output model using multiple linear regression, back propagation neural network and lazy learning algorithm. It was found that lazy learning model correlated well in mapping input/output data. This model was then utilized as an objective function in genetic algorithm to find the optimal combination of the operating conditions to get the maximum xylanase activity. It was observed that with carbon source, 1.63\%, nitrogen source, 0.16\%, pH, 4.1, and inoculum, 5.5\%, maximum xylanase activity of 28.98 +/- 1.73 U/ml was achieved. (C) 2008 Elsevier B.V. All rights reserved.

}, keywords = {Artificial intelligence, Enzyme activity, Fermentation, Modeling, Optimization, Xylanase}, issn = {1369-703X}, doi = {10.1016/j.bej.2008.01.003}, author = {Meshram, Mukesh and Kulkarni, Abhijit and Jayaraman, Valadi K. and Kulkarni, B. D. and Lele, S. S.} } @article { ISI:000291903100003, title = {Strain improvement and statistical media optimization for enhanced erythritol production with minimal by-products from candida magnoliae mutant R23}, journal = {Biochemical Engineering Journal}, volume = {55}, number = {2}, year = {2011}, month = {JUL}, pages = {92-100}, publisher = {ELSEVIER SCIENCE SA}, address = {PO BOX 564, 1001 LAUSANNE, SWITZERLAND}, abstract = {

Mutants of Candida magnoliae NCIM 3470 were generated by ultra-violet and chemical mutagenesis to enhance erythritol production. The mutants were screened for higher reductase activity on agar plates containing high concentration of glucose and 2,3,5-triphenyl tetrazolium chloride (TTC). One of the mutants named as R23 gave maximum erythritol production, 60.3 g L(-1), compared to 14 g L(-1) of the parent strain. Glucose and yeast extract were identified as critical medium components which decide the ratio of polyols produced, mainly erythritol, mannitol and glycerol. In order to enhance the production of erythritol and to minimize the production of mannitol and glycerol, a four component-five level-three response central-composite-rotatable-design (CCRD) of response surface methodology (RSM) model was used. The optimum medium composition for erythritol production was found to contain (g L(-1)) glucose 238, yeast extract 9.2, KH(2)PO(4), 5.16 and MgSO(4) 0.23. Moreover, erythritol production was studied in a 10 L fermentor in batch and fed-batch mode using RSM optimized medium. In fed-batch fermentation, 87.8 g L(-1) erythritol was produced with 31.1\% yield, without formation of any other polyols. Thus present study involving strain improvement followed by media and process optimization resulted in 6.2-fold increase in erythritol production and 3.4-fold increase in the yield. (C) 2011 Elsevier B.V. All rights reserved.

}, keywords = {Candida magnoliae, Erythritol, Fermentation, Metabolite over-production, Modelling, Optimization}, issn = {1369-703X}, doi = {10.1016/j.bej.2011.03.009}, author = {Savergave, Laxman S. and Gadre, Ramchandra V. and Vaidya, Bhalchandra K. and Narayanan, Karthik} } @article { ISI:000307537300043, title = {Characterization of a new bacillus cereus ATUAVP1846 strain producing penicillin V acylase, and optimization of fermentation parameters}, journal = {Annals of Microbiology}, volume = {62}, number = {3}, year = {2012}, month = {SEP}, pages = {1287-1293}, publisher = {SPRINGER}, address = {233 SPRING ST, NEW YORK, NY 10013 USA}, abstract = {

Penicillin acylases are involved chiefly in the industrial production of semisynthetic penicillins, which remain the most widely used group of antibiotics. We have isolated a new bacterial strain ATUAVP1846 that produces penicillin V acylase (PVA). Phylogenetic analysis using 16S rRNA sequencing showed 99.37\% homology with Bacillus cereus. Maximum PVA production was observed with B. cereus ATUAVP1846 at 30A degrees C, pH 7 after 24 h fermentation time under submerged conditions. Highest enzyme productivity was achieved using sucrose as carbon source, and tryptone and ammonium hydrogen phosphate as nitrogen sources. Minimal medium containing 0.4\% glucose and 0.3\% ammonium hydrogen phosphate was found to be optimal for maximum PVA production from B. cereus ATUAVP1846. The crude enzyme from B. cereus ATUAVP1846 was partially purified using ammonium sulfate fractionation and showed highest enzymatic activity in the hydrolysis of penicillin V at 40A degrees C and pH 6. The crude enzyme preparation also showed unique substrate specificity, preferring ampicillin and cephalexin over penicillin V.

}, keywords = {16S rRNA, Bacillus cereus, isolation, Ntn hydrolase, Optimization, Penicillin acylase}, issn = {1590-4261}, doi = {10.1007/s13213-011-0374-7}, author = {Sunder, Avinash Vellore and Kumar, Atul and Naik, Neha and Pundle, Archana V.} } @article { ISI:000328153400006, title = {Design of decanter in heterogeneous azeotropic distillation column by minimizing Gibbs free energy}, journal = {Asia-Pacific Journal of Chemical Engineering}, volume = {8}, number = {6}, year = {2013}, month = {NOV}, pages = {843-848}, publisher = {WILEY-BLACKWELL}, address = {111 RIVER ST, HOBOKEN 07030-5774, NJ USA}, abstract = {

In this paper, liquid-liquid equilibrium in decanter of heterogeneous azeotropic distillation is solved by minimizing Gibbs free energy, by using global optimization technique. The azeotropic distillation column is modeled by solving material balance, equilibrium and summation equations, and repulsive particle swarm optimization (RPSO), a stochastic global optimization formalism, is employed to predict stable steady state solution in decanter. To verify the performance of the RPSO algorithm, it is compared with equation solving method for liquid-liquid equilibria by considering two azeotropic systems, namely (1) benzene-ethanol-water and (2) furfural-water. The proposed methodology shows feasibility of the RPSO algorithm in predicting liquid-liquid equilibrium in decanter of heterogeneous azeotropic distillation. (c) 2013 Curtin University of Technology and John Wiley \& Sons, Ltd.

}, keywords = {decanter, Gibbs free energy, heterogeneous azeotropic distillation, liquid-liquid equilibrium, Optimization, repulsive particle swarm optimization method}, issn = {1932-2135}, doi = {10.1002/apj.1728}, author = {Rahman, Imran and Ubaidullah, S. and Das, Anwesh Kr.} } @article { ISI:000312999200020, title = {Optimization of the production of a maltooligosaccharides producing amylase from the alkalophilic streptomyces lonarensis strain NCL 716 using SVR modeling}, journal = {Starch-Starke}, volume = {65}, number = {1-2}, year = {2013}, month = {JAN}, pages = {179-185}, publisher = {WILEY-V C H VERLAG GMBH}, address = {BOSCHSTRASSE 12, D-69469 WEINHEIM, GERMANY}, abstract = {

The Streptomyces lonarensis strain NCL 716 hydrolyses starch to produce a mixture of maltotriose (G3) and maltotetraose (G4) along with maltose (G2). The objective of the present work was to determine an optimum cost effective media composition for the production of a-amylase from this strain. The most influential factor was found to be starch while the least influential factor found was peptone by PlackettBurman method. Peptone amount was kept constant throughout the fermentation. Peptone, which is one of the expensive media components was used at a concentration of 1?g/L, which made the optimum media composition cost effective. A support vector regression-based process model was developed for approximating the non-linear relationship between the fermentation operating variables and the a-amylase yield. Multicanonical Jump Walk Annealing, a stochastic optimization technique is used to obtain optimal operating variables to maximize amylase yield. The maximum amylase activity thus obtained was in good agreement with the experimental values at the optimized levels. The optimum media composition obtained by this method was: yeast extract: 4.53?g/L, starch: 20.246?g/L, K2HPO4: 0.0827\%, MgSO4: 0.15\%, peptone: 1?g/L. A maximum enzyme activity of 297?U/mL, which was achieved using the above approaches compares well with the activity of reported amylases producing maltooligosaccharides.

}, keywords = {Alkaline a-amylase, Optimization, Streptomyces, Support vector regression analysis}, issn = {0038-9056}, doi = {10.1002/star.201200094}, author = {Sharma, Trupti K. and Bhadane, Vaibhav A. and Kumar, Lalitha S. and Rele, Meenakshi V. and Bhawar, Gajanan and Rahman, Imran} } @article { ISI:000370104700016, title = {Optimization by box-behnken experimental design fur synthesis of n-hexyl levulinate biolubricant over hierarchical H-ZSM-5: an effort towards agricultural waste minimization}, journal = {Process Safety and Environmental Protection}, volume = {99}, year = {2016}, month = {JAN}, pages = {159-166}, publisher = {INST CHEMICAL ENGINEERS}, type = {Article}, address = {165-189 RAILWAY TERRACE, DAVIS BLDG, RUGBY CV21 3HQ, ENGLAND}, abstract = {

The present study is devoted to develop efficient catalytic process for conversion of agricultural waste feedstock to value added chemicals. In this context, the n-hexyl levulinate, a renewable biolubricant was synthesized by esterification of biomass derived levulinic acid (LA) with n-hexanol in a closed batch system. Hierarchical-HZ-5 (modified H-ZSM-5) was used as a heterogeneous acid catalyst. There are no reports available on the synthesis of n-hexyl levulinate biolubricant using renewable levulinic acid. The process variables such as catalyst to LA ratio (X-1), n-hexanol to LA molar ratio (X-2), reaction time (X-3) and reaction temperature (X-4) were optimized by response surface methodology (RSM), using the Box-Behnken model. Analysis of variance was done to check the suitability and significance of the quadratic model. The yield of n-hexyl levulinate obtained was 97\% with 100\% selectivity at optimum process parameters. The RSM analysis predicted that catalyst to LA ratio is most significant (value of p \< 0.0001) and n-hexanol to LA molar ratio is least significant (value of p = 0.0064) process parameter in esterification. The quadratic model established was revealed to be suitable and statistically precise with correlation value (R-2) of 0.9837 to predict the yield of n-hexyl levulinate. (C) 2015 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

}, keywords = {Agricultural waste feedstock, Esterification, Hierarchical-HZ-5, n-Hexyl levulinate, Optimization, Response surface methodology}, issn = {0957-5820}, doi = {10.1016/j.psep.2015.11.003}, author = {Nandiwale, Kakasaheb Y. and Bokade, Vijay V.} } @article {43891, title = {Intensification of extraction of curcumin from Curcuma amada using ultrasound assisted approach: Effect of different operating parameters}, journal = {Ultrasonic Sonochemistry}, volume = {38}, year = {2017}, month = {SEP}, chapter = {437-445}, abstract = {

Curcumin, a dietary phytochemical, has been extracted from rhizomes of Curcuma amada using ultrasound assisted extraction (UAE) and the results compared with the conventional extraction approach to establish the process intensification benefits. The effect of operating parameters such as type of solvent, extraction time, extraction temperature, solid to solvent ratio, particle size and ultrasonic power on the extraction yield have been investigated in details for the approach UAE. The maximum extraction yield as 72\% was obtained in 1 h under optimized conditions of 35 degrees C temperature, solid to solvent ratio of 1:25, particle size of 0.09 mm, ultrasonic power of 250 W and ultrasound frequency of 22 kHz with ethanol as the solvent. The obtained yield was significantly higher as compared to the batch extraction where only about 62\% yield was achieved in 8 h of treatment. Peleg{\textquoteright}s model was used to describe the kinetics of UAE and the model showed a good agreement with the experimental results. Overall, ultrasound has been established to be a green process for extraction of curcumin with benefits of reduction in time as compared to batch extraction and the operating temperature as compared to Soxhlet extraction.

}, keywords = {Acrylamide, Cavitation, Curcumin Extraction, Design, Enhancement, Functionalized Silica, kinetics, Microwave, Nanoparticles, Natural-products, Optimization, Phenolic-compounds, Process Intensification, Solid-liquid Extraction, Ultrasound}, issn = {1350-4177}, doi = {10.1016/j.ultsonch.2017.03.040}, author = {Shirsath, S. R. and Sable, S. S. and Gaikwad, S. G. and Sonawane, S. H. and Saini, D. R. and Gogate, P. R.} } @article {48159, title = {Isolation and structural characterization of exopolysaccharide from marine Bacillus sp. and its optimization by Microbioreactor}, journal = {Carbohydrate Polymers}, volume = {285}, year = {2022}, month = {JUN }, pages = {119241}, type = {Article}, abstract = {

In the present study, a cost-effective, robust Microbioreactor based production optimization of levan like exopolysaccharide from marine Bacillus sp. SGD-03 was analysed. FE-SEM analysis has showed the significant fibrillar structure of EPS. Size exclusion chromatography and other analytical data revealed that, produced EPS has a molecular weight of 1.0 x 10(4) Da and is composed of fructose monosaccharide with hydroxyl, carbonyl, and ether groups. The backbone structure of EPS has a branching pattern of beta-(2,6) linkages which confirms the similarity with available levan like polymers. The cost-effective media composition for levan production was demonstrated. The maximum yield of crude levan obtained was 123.9 g/L by response surface methodology using robust BioLector Pro Microbioreactor, and same has been validated with shake flask, 1 L and 10 L pilot-scale fermentation.

}, keywords = {EPS, marine, Microbioreactor, Optimization, structure}, issn = {0144-8617}, doi = {10.1016/j.carbpol.2022.119241}, author = {Wagh, Vasudev S. and Said, Madhukar S. and Bennale, Jagadish S. and Dastager, Syed G.} } @article {48792, title = {Potential of Y. lipolytica epoxide hydrolase for efficient production of enantiopure (R)-1,2-octanediol}, journal = {AMB Express}, volume = {13}, year = {2023}, month = {JUL }, pages = {77}, type = {Article}, abstract = {

The recombinant Yleh from a tropical marine yeast Yarrowia lipolytica NCIM 3589 exhibited a high epoxide hydrolase activity of 9.34 +/- 1.80 mu mol min(-1) mg(-1) protein towards 1,2-epoxyoctane (EO), at pH 8.0 and 30 degrees C. The reaction product was identified as 1,2-Octanediol (OD) by GC-MS using EO and H2O18 as substrate, affirming the functionality of Yleh as an epoxide hydrolase. For EO, the K-m, V-max, and k(cat)/K-m values were 0.43 +/- 0.017 mM, 0.042 +/- 0.003 mM min(-1), and 467.17 +/- 39.43 mM(-1) min(-1), respectively. To optimize the reaction conditions for conversion of racemic EO by Yleh catalyst to enantiopure (R)-1,2-octanediol, initially, Response Surface Methodology was employed. Under optimized reaction conditions of 15 mM EO, 150 mu g purified Yleh at 30 degrees C a maximal diol production of 7.11 mM was attained in a short span of 65 min with a yield of 47.4\%. Green technology using deep eutectic solvents for the hydrophobic substrate (EO) were tested as co-solvents in Yleh catalyzed EO hydrolysis. Choline chloride-Glycerol, produced 9.08 mM OD with an increased OD yield of 60.5\%. Thus, results showed that deep eutectic solvents could be a promising solvent for Yleh-catalyzed reactions making Yleh a potential biocatalyst for the biosynthesis of enantiopure synthons. [GRAPHICS] .

}, keywords = {Deep Eutectic solvents, Optimization, Recombinant epoxide hydrolase, Response surface methodology, Yarrowia lipolytica}, issn = {2191-0855}, doi = {10.1186/s13568-023-01584-1}, author = {Godase, Vijaya P. P. and Kumar, V. Ravi and Kumar, Ameeta Ravi} } @article {49088, title = {Nonedible thevetia peruviana oil for the synthesis of biobased thermosets and vitrimers with tunable mechanical properties}, journal = {ACS Applied Polymer Materials }, volume = {6}, year = {2024}, month = {FEB }, pages = {2695-2708}, type = {Article}, abstract = {

Current attempts to replace fossil-derived materials with vegetable oils for polymer production mainly rely on edible oils. This approach raises sustainability concerns due to potential food security risks. This report introduces the first in-depth examination of Thevetia peruviana oil (TPO) epoxidation, an easily accessible nonedible vegetable oil, utilizing diverse acidic ion-exchange resins as catalysts. It is followed by the development of vitrimers based on epoxidized oil (ETPO) with various dicarboxylic acid hardeners. Amberlite IRC120H emerged as the most effective catalyst for the epoxidation of the oil, allowing for repeated catalyst reusability for up to five cycles. An impressive relative oxirane conversion of 98.9\% was achieved after optimization. DSC analysis revealed that among the diacids, 2,2{\textquoteright}-dithiodibenzoic acid (DTBZ) has the lowest activation energy with ETPO. Additionally, the ETPO-DTBZ-based thermosets displayed exceptional solvent resistance and thermal stability, indicative of a high degree of cross-linked networks within the system. Mechanical analyses revealed that all aliphatic hardeners resulted in soft materials, while DTBZ resulted in thermosets with tensile stress and modulus of 15 and 843 MPa, respectively. Consequently, DTBZ-ETPO thermosets were successfully recycled, repaired, and reshaped with minimal changes in the mechanical properties. The shape memory of the thermosets was also established.

}, keywords = {biobasedvitrimers, environmental sustainability, epoxidizedThevetial peruviana oil, nonedible oil, Optimization, shape memory}, issn = {2637-6105}, doi = {10.1021/acsapm.3c02923}, author = {Olosho, Adebayo Isaac and Alam, Md Shafi and Sukumaran Nair, Kiran and Ambade, Ashootosh V. and Adekola, Folahan Amoo} } @article {48966, title = {Strain improvement for enhanced erythritol production by Moniliella pollinis Mutant-58 using jaggery as a cost-effective substrate}, journal = {International Microbiology }, volume = {27}, year = {2024}, month = {APR}, pages = {581-596}, type = {Article}, abstract = {

Erythritol has been produced by various microorganisms including Yarrowia, Moniliella, Aureobasidium, and Candida strains. Due to its relatively high price, erythritol sweetener is used lesser than other polyols despite having many advantages. Therefore, in this study, Moniliella pollinis strain was improved for erythritol production by chemical mutagenesis and subsequently screening for cost-effective carbon sources for the enhanced erythritol yield. M. pollinis was subjected to N-methyl N-nitro N-nitroso guanidine (NTG), ethyl methyl sulfonate (EMS), and UV mutagenesis for improved erythritol production. The fmutant strains were evaluated for enhanced erythritol production medium optimization by using different carbon substrates at the shake flask level. To enhance the production of erythritol and statistical media, optimization was carried out using a central composite design (CCD). Among 198 isolated mutants, Mutant-58 strain generated by EMS mutagenesis was selected for further assessment. The Mutant-58 strain showed significant morphological changes as compared to the parent strain. Furthermore, statistically optimized media composition resulted in the higher production of erythritol (91.2 \& PLUSMN; 3.4 g/L) with a yield of 40.7 \& PLUSMN; 3.4 \% in shake flask experiments. The optimized medium composition for erythritol production constitutes (g/L) 225 jaggery, 4.4 yeast extract (YE), 4.4 KH2PO4, 0.31 MgSO4, and pH 5.5. The present study demonstrated strain improvement, media, and process optimization resulting in a 30\% increase in the erythritol production in the Mutant-58 as compared to the parent strain. This is also the first instance where jaggery has been used as a cost-effective carbon source alternative to glucose for industrial-scale erythritol production.

}, keywords = {Erythritol, Fermentation, Moniliella pollinis, Mutation, Optimization, renewable resource}, issn = {1139-6709}, doi = {10.1007/s10123-023-00411-8}, author = {Khatape, Anil B. and Rangaswamy, Vidhya and Dastager, Syed G.} }