A novel integrated biorefinery process for diesel fuel blendstock production using lipids from the methanotroph, Methylomicrobium buryatense

Dong, Tao; Fei, Qiang; Genelot, Marie; Smith, Hilary; Laurens, Lieve M.L.; Watson, Michael J.; Pienkos, Philip T.

doi:10.1016/j.enconman.2017.02.075

Cited by 54 publications

(36 citation statements)

References 43 publications

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“…It is also commonly used as a diesel fuel stabilizer [45], which is likely due to the large number of construction vehicles in the local geographic area. All of the samples showed a peak for 9-octadecenamide, a common surfactant that is added to fuel [46]. Analytes 1-7 were selected due to their known prevalence in automobile fuel, as well as their known and suspected toxicities.…”

Section: Gc-ms Experiments On Undoped Snow Samplesmentioning

confidence: 99%

“…It is also commonly used as a diesel fuel stabilizer [45], which is likely due to the large number of construction vehicles in the local geographic area. All of the samples showed a peak for 9-octadecenamide, a common surfactant that is added to fuel [46]. Although there were no peaks corresponding to the BTEXC analytes in the GC-MS spectra for each snow sample, peaks corresponding to other components of automobile fuel strongly suggest the presence of fuel contamination (see Table S2 in Supporting Information for more details).…”

Section: Gc-ms Experiments On Undoped Snow Samplesmentioning

confidence: 99%

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Fluorescence-Based Detection of Benzene, Toluene, Ethylbenzene, Xylene, and Cumene (BTEXC) Compounds in Fuel-Contaminated Snow Environments

et al. 2019

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Reported herein is the sensitive and selective cyclodextrin-promoted fluorescence detection of benzene, toluene, ethylbenzene, xylene, and cumene (BTEXC) fuel components in contaminated snow samples collected from several locations in the state of Rhode Island. This detection method uses cyclodextrin as a supramolecular scaffold to promote analyte-specific, proximity-induced fluorescence modulation of a high-quantum-yield fluorophore, which leads to unique fluorescence responses for each cyclodextrin-analyte-fluorophore combination investigated and enables unique pattern identifiers for each analyte using linear discriminant analysis (LDA). This detection method operates with high levels of sensitivity (sub-micromolar detection limits), selectivity (100% differentiation between structurally similar compounds, such as ortho-, meta-, and para-xylene isomers), and broad applicability (for different snow samples with varying chemical composition, pH, and electrical conductivity). The high selectivity, sensitivity, and broad applicability of this method indicate significant potential in the development of practical detection devices for aromatic toxicants in complex environments.

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Section: Gc-ms Experiments On Undoped Snow Samplesmentioning

confidence: 99%

“…It is also commonly used as a diesel fuel stabilizer [45], which is likely due to the large number of construction vehicles in the local geographic area. All of the samples showed a peak for 9-octadecenamide, a common surfactant that is added to fuel [46]. Although there were no peaks corresponding to the BTEXC analytes in the GC-MS spectra for each snow sample, peaks corresponding to other components of automobile fuel strongly suggest the presence of fuel contamination (see Table S2 in Supporting Information for more details).…”

Section: Gc-ms Experiments On Undoped Snow Samplesmentioning

confidence: 99%

Fluorescence-Based Detection of Benzene, Toluene, Ethylbenzene, Xylene, and Cumene (BTEXC) Compounds in Fuel-Contaminated Snow Environments

et al. 2019

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“…The genome scale metabolic model complements the genetic tools that have already been established for M. buryatense , and recent successes in metabolic engineering show that there is potential to commercialize the production of chemicals in M. buryatense . For instance, Dong et al have been able to increase the production of membrane phospholipids, which they subsequently processed into diesel blendstock, and Henard et al have used M. buryatense to produce lactate at a yield of 0.05 g lactate/g methane. In addition, the latter have been able to improve the lipid and biomass yield 2.6‐fold by overexpressing the phosphoketolase …”

Section: State Of the Art: Existing C1 Metabolic Modelsmentioning

confidence: 99%

Microbial Methylotrophic Metabolism: Recent Metabolic Modeling Efforts and Their Applications In Industrial Biotechnology

Lieven

Sonnenschein

2018

Biotechnology Journal

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Developing methylotrophic bacteria into cell factories that meet the chemical demand of the future could be both economical and environmentally friendly. Methane is not only an abundant, low-cost resource but also a potent greenhouse gas, the capture of which could help to reduce greenhouse gas emissions. Rational strain design workflows rely on the availability of carefully combined knowledge often in the form of genome-scale metabolic models to construct high-producer organisms. In this review, the authors present the most recent genome-scale metabolic models in aerobic methylotrophy and their applications. Further, the authors present models for the study of anaerobic methanotrophy through reverse methanogenesis and suggest organisms that may be of interest for expanding one-carbon industrial biotechnology. Metabolic models of methylotrophs are scarce, yet they are important first steps toward rational strain-design in these organisms.

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“…A series of genetic constructions and metabolic engineering works of M. buryatense 5GB1 have been carried out to enhance the carbon flux for the production of biomass, lipids, lactic acid, fatty acids, etc. (Dong et al, 2017;Fu et al, 2017;Hu et al, 2017;Garg et al, 2018). The highest lipid productivity of 45 mg/L/h along with the growth rate of 0.22 h −1 and DCW of 21 g/L has been achieved by knocking out glycogen biosynthesis genes of M. buryatense 5GB1 in batch cultures .…”

Section: Introductionmentioning

confidence: 99%

Molecular Mechanism Associated With the Impact of Methane/Oxygen Gas Supply Ratios on Cell Growth of Methylomicrobium buryatense 5GB1 Through RNA-Seq

Yang

Yan

et al. 2020

Front. Bioeng. Biotechnol.

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A novel integrated biorefinery process for diesel fuel blendstock production using lipids from the methanotroph, Methylomicrobium buryatense

Cited by 54 publications

References 43 publications

Fluorescence-Based Detection of Benzene, Toluene, Ethylbenzene, Xylene, and Cumene (BTEXC) Compounds in Fuel-Contaminated Snow Environments

Fluorescence-Based Detection of Benzene, Toluene, Ethylbenzene, Xylene, and Cumene (BTEXC) Compounds in Fuel-Contaminated Snow Environments

Microbial Methylotrophic Metabolism: Recent Metabolic Modeling Efforts and Their Applications In Industrial Biotechnology

Molecular Mechanism Associated With the Impact of Methane/Oxygen Gas Supply Ratios on Cell Growth of Methylomicrobium buryatense 5GB1 Through RNA-Seq

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