Gas Diffusion Electrochemical Cell (Three-Electrode System), Model: EC-GDE6

Gas Diffusion Electrochemical Cell (Three-Electrode System), Model: EC-GDE6

Brand: Beyond Battery
SKU: CNB-12-EC-GDE6-1
3396.00 USD In stock Buy at Merchant

EC-GDE6 Gas Diffusion Electrochemical Cell An ultra-short-gap, three-electrode GDE flow cell for gas-fed electrochemical testing at medium-to-high current densities and long-duration stability studies. Product Overview The EC-GDE6 is an advanced membrane-electrode gas diffusion electrochemical cell designed for gas-fed electrochemical testing at medium-to-high current densities and long-duration stability studies. Its three-chamber, three-electrode architecture combines high-purity titanium plates with a PEEK cell body. A serpentine gas flow field increases gas contact with the cathode, while the redesigned catholyte pathway reduces the working-to-counter-electrode gap to 0.4 mm. Key Features 0.4 mm Ultra-Short Electrode Gap The redesigned catholyte pathway minimizes the distance between the working and counter electrodes. Serpentine Gas Flow Field The standard serpentine channel extends gas contact with the cathode; custom flow patterns are available. Designed for Demanding Operation Supports medium-to-high current densities and extended stability testing. Typical Applications Gas-Fed Electrocatalysis Evaluation of GDE-based reactions under controlled gas and electrolyte flow. Medium-to-High Current Testing Investigation of electrode performance under demanding current-density conditions. Flow-Field Evaluation Assessment of serpentine and customised gas-distribution patterns. Long-Duration Stability Studies Monitoring electrode and cell performance during extended electrolysis. Technical Specifications Chamber structure Three-chamber Electrode system Three-electrode Anode-cathode gap 0.4 mm Active area 1 or 4 cm² (10 x 10 mm or 20 x 20 mm, customizable) Working electrode Sheet-type gas diffusion electrode (customer-supplied) Reference electrode Rod-type Ag/AgCl electrode Counter electrode Sheet-type IrO₂ mesh electrode (customer-supplied) Cell body material Ti + PEEK Gas flow field Serpentine (customizable) Instrument Compatibility Gas and Electrolyte Flow Compatibility Compatible with regulated gas supplies and electrolyte-circulation systems equipped with mass flow controllers, gas flow meters, peristaltic pumps and gas-liquid mixing pumps. Potentiostat Compatibility Compatible with commercial potentiostats supporting three-electrode measurements, including CH Instruments (CHI660E, CHI760E, CHI1140C), Bio-Logic (VMP3), Corrtest Instruments (CS350M), Ivium Technologies (CompactStat.e20250), and Metrohm Autolab (PGSTAT204). Related Published Application Effects of Catholyte Flow Design on CO₂ Electrolysis Filippi et al. evaluated four 3D-printed PEEK catholyte compartments—Linear-wide, Shifted, Serpentine and Linear—in a 5 cm² CO₂ flow electrolyzer. The system incorporated a PTFE/CuO gas diffusion cathode, an Ag/AgCl reference electrode, a Ni-foam anode and an anion-exchange membrane. All configurations used a gasket-defined 0.2 mm catholyte gap and were tested from 50 to 700 mA cm⁻². Experiments and CFD simulations demonstrated that catholyte hydrodynamics govern bubble removal, local pH and product selectivity, with balanced flow velocities of 0.01–0.1 m s⁻¹ favouring C₂+ production. Demonstrated EC-GDE6 Capabilities Supports CO₂ electroreduction at 50–700 mA cm⁻² Demonstrates thin-gap GDE testing in a three-electrode configuration Links catholyte flow and bubble removal to activity and product selectivity Application Studies Application studies using this model are currently underway. Note: The referenced study used a custom-built 5 cm² CO₂ flow electrolyzer with a 0.2 mm catholyte gap and a configuration comparable to the EC-GDE6 and is included solely as a related application example.

Specifications
Model
10 x 10 mm, 20 x 20 mm
Variants (2)
  • 10 x 10 mm — 3396.00 USD — In stock
  • 20 x 20 mm — 3647.00 USD — In stock

How AI sees this product

The more complete this product's details, the more confidently AI assistants can understand and recommend it.

80%