AI-Driven Simulation of Stochastic Electrochemiluminescence DOI Creative Commons
Klaus Mathwig

ACS electrochemistry., Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 17, 2024

Electrochemiluminescence (ECL) is a vital analytical technique widely used in immunosensing and emerging applications biological imaging. Traditional ECL simulations rely on finite element methods, which provide valuable insights into reaction dynamics spatial distribution of species. However, such methods are limited mesoscopic environments where stochastic effects become significant. Here, I present novel approach using ChatGPT o1 to generate Python-based simulation for reactions nanofluidic channel, incorporating diffusion, electrochemical chemical reactions, photon emission. The successfully replicates results from models while offering additional time-dependent behaviors enabling noise analysis simulated luminescence traces. iterative development this was rapid, requiring minimal coding expertise leveraging the model's "reasoning" capabilities implement physical principles, verify calculations, optimize performance. This work demonstrates that large language (LLMs) can serve as effective co-intelligence tools, facilitating complex electrochemistry. AI-driven tools/LLMs have promising role advancing electrochemistry research, though careful validation remains essential ensure scientific accuracy.

Language: Английский

Nanochannel-Confined Ni(OH)2-CeO2 Composite Nanozyme Boosts Electrochemiluminescence of Luminol-Dissolved Oxygen for Immunosensing DOI
Fan Xue, Lujie Wang, Hongxin Wang

et al.

Biosensors and Bioelectronics, Journal Year: 2025, Volume and Issue: unknown, P. 117451 - 117451

Published: April 1, 2025

Language: Английский

Citations

1
Overcoming Kinetic Barriers of Remote Electrochemiluminescence on Boron-Doped Diamond via Catalytic Coreactant Oxidation DOI Creative Commons
Alessandro Fracassa, Chiara Mariani, Andrea Fiorani

et al.

Chemical Communications, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Using an Ir( iii )-based redox mediator ([Ir(sppy) 3 ] 3- ) overcomes the traditional kinetic barrier of tri- n -propylamine oxidation on BDD, enhancing ECL from Ru( ii )-labeled beads by up to 46-fold.

Language: Английский

Citations

0
The development of electrochemiluminescent probes: Mechanism and application DOI

Tongtong Li,

Yingying Su, Lichun Zhang

et al.

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113216 - 113216

Published: March 1, 2025

Language: Английский

Citations

0
AI-driven simulation of stochastic electrochemiluminescence DOI Creative Commons
Klaus Mathwig

Published: Nov. 14, 2024

Electrochemiluminescence (ECL) is a vital analytical technique widely used in immunosensing and emerging applica-tions biological imaging. Traditional ECL simulations rely on finite element methods, which provide valuable insights into reaction dynamics spatial distribution of species. However, such methods are limited mesoscopic environ-ments where stochastic effects become significant. Here, I present novel approach using ChatGPTo1 to generate Py-thon-based simulation for reactions nanofluidic channel, incorporating diffusion, electrochemical chemical reactions, photon emission. The successfully replicates results from models while offering additional time-dependent behaviors enabling noise analysis simulated luminescence traces. iterative development this ChatGPT was rapid, requiring minimal coding expertise leveraging the model’s "reasoning" capabilities implement physical principles, verify calculations, optimize per-formance. This work demonstrates that large language (LLMs) can serve as effective co-intelligence tools, facili-tating complex electrochemistry. AI-driven tools/LLMs have promising role ad-vancing electrochemistry research, though careful validation remains essential ensure scientific accuracy.

Language: Английский

Citations

1
Nb2CTx-supported bimetallic NPs@ZIF-8 nanohybrid as ECL signal amplifier and peroxidase mimics for chromogranin a immunosensing in human serum and saliva DOI
Faheem Kareem, Yuan‐Fong Chou Chau, Minhaz Uddin Ahmed

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 287, P. 138476 - 138476

Published: Dec. 9, 2024

Language: Английский

Citations

0
AI-Driven Simulation of Stochastic Electrochemiluminescence DOI Creative Commons
Klaus Mathwig

ACS electrochemistry., Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 17, 2024

Electrochemiluminescence (ECL) is a vital analytical technique widely used in immunosensing and emerging applications biological imaging. Traditional ECL simulations rely on finite element methods, which provide valuable insights into reaction dynamics spatial distribution of species. However, such methods are limited mesoscopic environments where stochastic effects become significant. Here, I present novel approach using ChatGPT o1 to generate Python-based simulation for reactions nanofluidic channel, incorporating diffusion, electrochemical chemical reactions, photon emission. The successfully replicates results from models while offering additional time-dependent behaviors enabling noise analysis simulated luminescence traces. iterative development this was rapid, requiring minimal coding expertise leveraging the model's "reasoning" capabilities implement physical principles, verify calculations, optimize performance. This work demonstrates that large language (LLMs) can serve as effective co-intelligence tools, facilitating complex electrochemistry. AI-driven tools/LLMs have promising role advancing electrochemistry research, though careful validation remains essential ensure scientific accuracy.

Language: Английский

Citations

0