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Abstract: Bacterial cellulose (BC) was used as a raw material to produce freestanding carbon aerogels (CAs). The CAs were further decorated with Ni and MnO2/Ni(OH)2 hybrid via electrodeposition and redox reaction to produce carbon nanofiber networks decorated with electrochemically active metal and metal compounds. The properties of this novel material as supercapacitor electrodes were investigated. The electrochemical performance of the electrodes was examined in 1 M Na2SO4 electrolyte using cyclic voltammetry (CV), cyclic charge-discharge (CCD), and electrochemical impedance spectroscopy (EIS) tests. The results showed that a specific capacitance of 109 F g−1 was achieved at the current density of 1 A g−1. The electrodes could deliver an energy density of 9.4 Wh kg−1 and a power density of 4 KW kg−1 and demonstrated a high cyclability. These results showed great potential of this new material for supercapacitor electrodes. A flexible solid-state supercapacitor prototype was prepared using this material to demonstrate its function as a power source for a LED light. This study provided a new way to use BC as a biobased low-cost material for the fabrication of energy storage devices.Graphical Abstract: [ABSTRACT FROM AUTHOR]

Malonyl-CoA is the essential building block of natural products such as fatty acids, polyketides, and flavonoids. Engineering the biosynthesis of fatty acids is important for biofuel production while that of polyketides provides precursors of medicines and nutritional supplements. However, microorganisms maintain a small amount of cellular malonyl-CoA, which could limit production of lipid and polyketides under certain conditions. Malonyl-CoA concentration is regulated by multiple pathways and signals, and changes in intracellular malonyl-CoA often lead to complex alterations in metabolism. In the present work, overexpression of a plant malonyl-CoA synthetase gene ( AAE13) in Saccharomyces cerevisiae resulted in 1.6- and 2.4-fold increases in lipid and resveratrol accumulation simultaneously. We also demonstrated that AAE13 partially complemented the temperature-sensitive acc1 mutant, replacing this key enzyme in central metabolism. Mechanistic analysis by CoA quantification and transcriptomic measurement suggested that increases in malonyl-CoA concentration were coupled with drastic reductions in other major CoA compounds and clear suppression of tricarboxylic acid cycle-related genes. These results suggest that malonyl-CoA is a critical target for fatty acid and polyketide engineering and that overexpression of malonyl-CoA synthetic enzymes needs to be combined with upregulation of CoA synthesis to maintain metastasis of central metabolism. [ABSTRACT FROM AUTHOR]

In this study, we investigate computationally the low-Reynolds-number droplet motion in a square micro-channel, a problem frequently encountered in microfluidic devices, enhanced oil recovery and coating processes. The droplet deformation and motion are determined via a three-dimensional spectral boundary element method for wall-bounded flows. The effects of the flow rate, viscosity ratio and droplet size on the interfacial dynamics are identified for droplets smaller and larger than the channel size and for a wide range of viscosity ratio. Owing to the stronger hydrodynamic forces in the thin lubrication film between the droplet interface and the solid walls, large droplets exhibit larger deformation and smaller velocity. Under the same average velocity, a droplet in a channel shows a significantly smaller deformation and higher velocity than in a cylindrical tube with the same size, owing to the existence of the corners' area in the channel which permits flow of the surrounding fluid. A suitable periodic boundary implementation for our spectral element method is developed to study the dynamics of an array of identical droplets moving in the channel. In this case, the droplet deformation and velocity are reduced as their separation decreases; the reduction is influenced by the flow rate, viscosity ratio and more significantly the droplet size. [ABSTRACT FROM AUTHOR]

Genetically modified microbes have had much industrial success producing protein-based products (such as antibodies and enzymes). However, engineering microbial workhorses for biomanufacturing of commodity compounds remains challenging. First, microbes cannot afford burdens with both overexpression of multiple enzymes and metabolite drainage for product synthesis. Second, synthetic circuits and introduced heterologous pathways are not yet as 'robust and reliable' as native pathways due to hosts' innate regulations, especially under suboptimal fermentation conditions. Third, engineered enzymes may lack channeling capabilities for cascade-like transport of metabolites to overcome diffusion barriers or to avoid intermediate toxicity in the cytoplasmic environment. Fourth, moving engineered hosts from laboratory to industry is unreliable because genetic mutations and non-genetic cell-to-cell variations impair the large-scale fermentation outcomes. Therefore, synthetic biology strains often have unsatisfactory industrial performance (titer/yield/productivity). To overcome these problems, many different species are being explored for their metabolic strengths that can be leveraged to synthesize specific compounds. Here, we provide examples of non-conventional and genetically amenable species for industrial manufacturing, including the following: Corynebacterium glutamicum for its TCA cycle-derived biosynthesis, Yarrowia lipolytica for its biosynthesis of fatty acids and carotenoids, cyanobacteria for photosynthetic production from its sugar phosphate pathways, and Rhodococcus for its ability to biotransform recalcitrant feedstock. Finally, we discuss emerging technologies (e.g., genome-to-phenome mapping, single cell methods, and knowledge engineering) that may facilitate the development of novel cell factories. [ABSTRACT FROM AUTHOR]

Aortic stenosis is the most common valvular heart disease. Assessing the contribution of the valve as a portion to total ventricular load is essential for the aging population. A CT scan for one patient was used to create one in vivo tricuspid aortic valve geometry and assessed with computational fluid dynamics (CFD). CFD simulated the pressure, velocity, and flow rate, which were used to assess the Gorlin formula and continuity equation, current clinical diagnostic standards. The results demonstrate an underestimation of the anatomic orifice area (AOA) by Gorlin formula and overestimation of AOA by the continuity equation, using peak velocities, as would be measured clinically by Doppler echocardiography. As a result, we suggest that the Gorlin formula is unable to achieve the intended estimation of AOA and largely underestimates AOA at the critical low-flow states present in heart failure. The disparity in the use of echocardiography with the continuity equation is due to the variation in velocity profile between the outflow tract and the valve orifice. Comparison of time-averaged orifice areas by Gorlin and continuity with instantaneous orifice areas by planimetry can mask the errors of these methods, which is a result of the assumption that the blood flow is inviscid. [ABSTRACT FROM AUTHOR]