Energy conversion from electrolyte concentration gradient using charged nano-pores

2016 ◽  
Vol 13 (13) ◽  
pp. 1400-1411 ◽  
Author(s):  
Reiyu Chein ◽  
Boyan Liu
Keyword(s):  
Energy Conversion ◽  
Concentration Gradient ◽  
Electrolyte Concentration

scholarly journals Characterising Lithium-Ion Electrolytes via Operando Raman Microspectroscopy

2020 ◽  
Author(s):  
Jack Fawdon ◽  
Johannes Ihli ◽  
Fabio La Mantia ◽  
Mauro Pasta
Keyword(s):  
Thermodynamic Properties ◽  
Concentration Gradient ◽  
Electrolyte Concentration ◽  
Electrochemical Impedance ◽  
Lithium Ion ◽  
Transference Number ◽  
Model System ◽  
Raman Microspectroscopy ◽  
Apparent Diffusion ◽  
Li Ion

<div><div><div><p>Knowledge of electrolyte transport and thermodynamic properties in Li-ion and ”beyond Li-ion” technologies is vital for their continued development and success. Here, we present a method for fully characterising electrolyte systems. By measuring the electrolyte concentration gradient over time via operando Raman microspectroscopy, in tandem with potentiostatic electrochemical impedance spectroscopy, the Fickian ”apparent” diffusion coefficient, transference number, thermodynamic factor, ionic conductivity and resistance of charge-transfer were quantified within a single experimental setup. Using lithium bis(fluorosulfonyl)imide (LiFSI) in tetraglyme (G4) as a model system, our study provides a visualisation of the electrolyte concentration gradient; a method for determining key electrolyte properties, and a necessary technique for correlating intermolecular electrolyte structure with the described transport and thermodynamic properties.</p></div></div></div>

scholarly journals Characterising lithium-ion electrolytes via operando Raman microspectroscopy

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jack Fawdon ◽  
Johannes Ihli ◽  
Fabio La Mantia ◽  
Mauro Pasta
Keyword(s):  
Thermodynamic Properties ◽  
Concentration Gradient ◽  
Electrolyte Concentration ◽  
Electrochemical Impedance ◽  
Lithium Ion ◽  
Transference Number ◽  
Model System ◽  
Raman Microspectroscopy ◽  
Apparent Diffusion ◽  
Li Ion

AbstractKnowledge of electrolyte transport and thermodynamic properties in Li-ion and beyond Li-ion technologies is vital for their continued development and success. Here, we present a method for fully characterising electrolyte systems. By measuring the electrolyte concentration gradient over time via operando Raman microspectroscopy, in tandem with potentiostatic electrochemical impedance spectroscopy, the Fickian “apparent” diffusion coefficient, transference number, thermodynamic factor, ionic conductivity and resistance of charge-transfer were quantified within a single experimental setup. Using lithium bis(fluorosulfonyl)imide (LiFSI) in tetraglyme (G4) as a model system, our study provides a visualisation of the electrolyte concentration gradient; a method for determining key electrolyte properties, and a necessary technique for correlating bulk intermolecular electrolyte structure with the described transport and thermodynamic properties.

THE DEPENDENCE OF CONCENTRATION GRADIENT ON CURRENT DENSITY AT WORKING ELECTRODES

1965 ◽  
Vol 43 (12) ◽  
pp. 3304-3310 ◽  
Author(s):  
R. N. O'Brien ◽  
C. A. Rosenfield ◽  
K. Kinoshita ◽  
W. F. Yakymyshyn ◽  
J. Leja
Keyword(s):  
Current Density ◽  
Concentration Gradient ◽  
Fringe Pattern ◽  
Electrolyte Concentration ◽  
Error Function ◽  
A Cell ◽  
Interferometric Study

An interferometric study of working electrodes in a cell holding less than 1 ml of solution enabled the effects of cell depth, orientation, electrolyte concentration, and temperature on the concentration gradient to be evaluated. The concentration gradient (obtained from the perturbations of a parallel fringe pattern) is an error function of current density, but every factor studied produced deviation from this relationship. The electrodeposition of the following ions has been studied: Cu++, Zn++, Ni++, Ag+, in a wide variety of electrolytes.

scholarly journals Characterising Lithium-Ion Electrolytes via Operando Raman Microspectroscopy

2020 ◽  
Author(s):  
Jack Fawdon ◽  
Johannes Ihli ◽  
Fabio La Mantia ◽  
Mauro Pasta
Keyword(s):  
Thermodynamic Properties ◽  
Concentration Gradient ◽  
Electrolyte Concentration ◽  
Electrochemical Impedance ◽  
Lithium Ion ◽  
Transference Number ◽  
Model System ◽  
Raman Microspectroscopy ◽  
Apparent Diffusion ◽  
Li Ion

<div><div><div><p>Knowledge of electrolyte transport and thermodynamic properties in Li-ion and ”beyond Li-ion” technologies is vital for their continued development and success. Here, we present a method for fully characterising electrolyte systems. By measuring the electrolyte concentration gradient over time via operando Raman microspectroscopy, in tandem with potentiostatic electrochemical impedance spectroscopy, the Fickian ”apparent” diffusion coefficient, transference number, thermodynamic factor, ionic conductivity and resistance of charge-transfer were quantified within a single experimental setup. Using lithium bis(fluorosulfonyl)imide (LiFSI) in tetraglyme (G4) as a model system, our study provides a visualisation of the electrolyte concentration gradient; a method for determining key electrolyte properties, and a necessary technique for correlating intermolecular electrolyte structure with the described transport and thermodynamic properties.</p></div></div></div>

Artificial cells containing sustainable energy conversion engines

2019 ◽  
Vol 3 (5) ◽  
pp. 573-578 ◽  
Author(s):  
Kwanwoo Shin
Keyword(s):  
Energy Conversion ◽  
Nicotinamide Adenine Dinucleotide ◽  
Sustainable Energy ◽  
Living Cells ◽  
Energy Transduction ◽  
Artificial Cells ◽  
Energy Conversion Process ◽  
Metabolic Reactions ◽  
Metabolic Activities ◽  
Reduced Nicotinamide Adenine Dinucleotide

Living cells naturally maintain a variety of metabolic reactions via energy conversion mechanisms that are coupled to proton transfer across cell membranes, thereby producing energy-rich compounds. Until now, researchers have been unable to maintain continuous biochemical reactions in artificially engineered cells, mainly due to the lack of mechanisms that generate energy-rich resources, such as adenosine triphosphate (ATP) and reduced nicotinamide adenine dinucleotide (NADH). If these metabolic activities in artificial cells are to be sustained, reliable energy transduction strategies must be realized. In this perspective, this article discusses the development of an artificially engineered cell containing a sustainable energy conversion process.

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