The growth-associated metabolites are produced during the exponential phase; however, this phase terminates due to substrate depletion or product inhibition. In the present study, a semicontinuous mode with a fill-and-draw strategy was applied to extend the exponential phase of the biosurfactant production to overcome the product inhibition and in turn, enhance the yield. Bioreactor studies were performed in batch mode, followed by the semicontinuous operation. A potential biosurfactant producer Bacillus subtilis RSL2 was used in this study at the previously optimized conditions of pH 6.6, temperature 41 °C and 5% (w/v) of molasses. A better mass transfer was achieved in the bioreactor as compared to the shake flask study. In the batch bioreactor study, 90% of sugar was utilized with simultaneous 13.7 g L of biosurfactant production. The sugar utilization was further improved to > 98% in the case of semicontinuous operation employing a fill-and-draw strategy. The exponential phase got extended up to 18 days and a total of 13 L of media was fed in the semicontinuous operation of 21 days as compared to 1.5 L of working volume in the batch reactor. The biosurfactant yield was enhanced by 1.5 folds and was found to be 0.97 g g. The produced biosurfactant was identified as a lipopeptide. The interfacial properties of the biosurfactant along with colloidal and thermal stability have been investigated. The critical micelle concentration of the produced biosurfactant was 70 mg L. The present study highlighted the efficient utilization of molasses for the production of biosurfactant, an alternative metabolite, in a semicontinuous mode of bioreactor.
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http://dx.doi.org/10.1016/j.jbiotec.2022.12.007 | DOI Listing |
Glob Chang Biol
January 2025
State Key Laboratory of Urban and Regional Ecology, Research Center for eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
Litter decomposition is essential in linking aboveground and belowground carbon, nutrient cycles, and energy flows within ecosystems. This process has been profoundly impacted by global change, particularly in drylands, which are highly susceptible to both anthropogenic and natural disturbances. However, a significant knowledge gap remains concerning the extent and drivers of litter decomposition across different dryland ecosystems, limiting our understanding of its role in ecosystem metabolism.
View Article and Find Full Text PDFSci Rep
January 2025
Multifunctional Materials Laboratory, Department of Physics, Indian Institute of Technology Madras, Chennai, 600036, India.
The utilization of single crystals is exponentially growing in optoelectronic devices due to their exceptional benefits, including high phase purity and the absence of grain boundaries. However, achieving single crystals with a porous structure poses significant challenges. In this study, we present a method for fabricating porous single crystals (porous-SC) of CsAgBiBr and related halide double perovskites using an infrared-assisted spin coating technique.
View Article and Find Full Text PDFPhys Rev Lett
December 2024
Quantum Lab, Boehringer Ingelheim, 55218 Ingelheim am Rhein, Germany.
The phase estimation algorithm is crucial for computing the ground-state energy of a molecular electronic Hamiltonian on a quantum computer. Its efficiency depends on the overlap between the Hamiltonian's ground state and an initial state, which tends to decay exponentially with system size. We showcase a practical orbital optimization scheme to alleviate this issue.
View Article and Find Full Text PDFFront Biosci (Elite Ed)
November 2024
Advanced Institute of Technology and Innovation (IATI), 50751-310 Recife, Pernambuco, Brazil.
Background: This study aimed to produce, characterize, and apply a biosurfactant as a bioremediation tool for oil-contaminated coastal environments.
Methods: The biosurfactant was produced in a medium containing 5.0% corn steep liquor and 1.
J Biotechnol Biomed
October 2024
Department of Biochemistry, Cancer Biology, Neuroscience and Pharmacology, School of Medicine, Meharry Medical College, Nashville, TN, USA.
As data grows exponentially across diverse fields, effectively leveraging big data has become increasingly crucial. In data science and computational genomics, however, minority groups, including African Americans, are significantly underrepresented, coupled with the lack of resources and infrastructure in minority-serving institutions. This paper summarizes the second phase of our funded project that aims to enhance the data science capacity of Meharry Medical College (MMC), a Historically Black College/University (HBCU), by providing training and fostering collaborations between data scientists and researchers in basic science and biomedical fields.
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